id
int64 2
42.1M
| by
large_stringlengths 2
15
⌀ | time
timestamp[us] | title
large_stringlengths 0
198
⌀ | text
large_stringlengths 0
27.4k
⌀ | url
large_stringlengths 0
6.6k
⌀ | score
int64 -1
6.02k
⌀ | descendants
int64 -1
7.29k
⌀ | kids
large list | deleted
large list | dead
bool 1
class | scraping_error
large_stringclasses 25
values | scraped_title
large_stringlengths 1
59.3k
⌀ | scraped_published_at
large_stringlengths 4
66
⌀ | scraped_byline
large_stringlengths 1
757
⌀ | scraped_body
large_stringlengths 1
50k
⌀ | scraped_at
timestamp[us] | scraped_language
large_stringclasses 58
values | split
large_stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42,018,454 | NarcisMirandes | 2024-11-01T16:14:31 | MacBook Pro Space Black Color | I like the the MacBook Pro. I have to decide about the color and want to know about the experience of people who have it.<p>- Is that color painted, or does all the aluminum have the same black color? When there is a small scratch, perhaps around the connectors, do you see the natural aluminum behind it?<p>- Do you have any regrets about fingerprints or other problems? If you had to repurchase it, would you choose that color again? | null | 2 | 5 | [
42028630,
42021020
] | null | null | null | null | null | null | null | null | null | train |
42,018,470 | yamrzou | 2024-11-01T16:15:41 | Transactional Model of Stress and Coping | null | https://en.wikipedia.org/wiki/Richard_Lazarus | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,495 | speckx | 2024-11-01T16:17:17 | Decades of obsolete and unpatched hardware and software endanger us all | null | https://news.sophos.com/en-us/2024/10/31/digital-detritus-the-engine-of-pacific-rim-and-a-call-to-the-industry-for-action/ | 4 | 0 | [
42018764
] | null | null | null | null | null | null | null | null | null | train |
42,018,497 | antgoldbloom | 2024-11-01T16:17:27 | The overlooked GenAI use case: cleaning, processing, and analyzing data | null | https://blog.sumble.com/the-overlooked-genai-use-case/ | 31 | 5 | [
42018871,
42019604,
42018609
] | null | null | null | null | null | null | null | null | null | train |
42,018,501 | lfmunoz4 | 2024-11-01T16:17:39 | Ask HN: Company Failed from Poor Code? | Have you been at a company that failed from poor code quality?<p>We all know the importance of code quality but it is very difficult to quantify. Many companies have average code quality and seem to do fine. To understand this better please share your experience when working with poor code quality and what was the breaking point.<p>Also share what language and technologies were used and if managers were forcing language choices or making bad decisions. Also if from experience give your opinion if certain technology leads to poor quality.<p>For example I think JavaScript leads to bad code quality. Mangers will want to use JavaScript because they think it is faster to write and can find more qualified candidates. They don't realize that good programmers should be able to write code in any language and that code writing efficiency is significantly less important than code reading efficiency. | null | 2 | 3 | [
42022349,
42019689
] | null | null | null | null | null | null | null | null | null | train |
42,018,528 | yamrzou | 2024-11-01T16:19:37 | Perceived Control | null | https://en.wikipedia.org/wiki/Perceived_control | 2 | 0 | [
42018625
] | null | null | null | null | null | null | null | null | null | train |
42,018,537 | themindaugas | 2024-11-01T16:20:18 | null | null | null | 1 | null | [
42018538
] | null | true | null | null | null | null | null | null | null | train |
42,018,541 | tosh | 2024-11-01T16:20:38 | APL Challenge 2024.4 | null | https://challenge.dyalog.com/ | 2 | 0 | [
42018594
] | null | null | null | null | null | null | null | null | null | train |
42,018,552 | fanf2 | 2024-11-01T16:21:45 | Separation of Concerns in a Bug Tracker | null | https://www.chiark.greenend.org.uk/~sgtatham/quasiblog/bugtracker-separate/ | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,554 | yamrzou | 2024-11-01T16:21:56 | Influenced Stable Steady State, Negative Affect Reciprocity, and Repair | null | https://nathensmiraculousescape.com/2011/02/12/gottmans-influenced-stable-steady-state-negative-affect-reciprocity-and-repair/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,561 | dsaed | 2024-11-01T16:22:34 | KitOps modules are now available on the Daggerverse | null | https://daggerverse.dev/mod/github.com/jozu-ai/daggerverse/kit@a4e5e833af49ad44c91a94a28a2dfbafc5f49510 | 4 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,572 | lummm | 2024-11-01T16:23:19 | A Developer's Guide to Large Language Models | null | https://devs-ai-guide.blacktuskdata.com/ | 1 | 1 | [
42018573
] | null | null | cut_off | Dev's Guide to LLMs | null | null |
Using Large Language Models
A Developer's Guide
Next
Cut through the hype
This guide is intended to give you the tools to be effective with language models.
We skip the theory and get right into valuable techniques and approaches.
Think RAG, text classification, fine-tuning and more.
Approachable, pragmatic tools
Get up to speed quickly with tools that you can apply right now
Math for programmers, not mathematicians
We'll build up your understanding of any math you need - and it isn't hard
Get the book
| 2024-11-08T13:46:12 | en | train |
42,018,639 | tosh | 2024-11-01T16:28:23 | M4 Max: 4060 Geekbench Single-Core Score | null | https://browser.geekbench.com/v6/cpu/8593555 | 3 | 0 | [
42019090
] | null | null | null | null | null | null | null | null | null | train |
42,018,671 | ChumpGPT | 2024-11-01T16:31:23 | Missing $135M F-35 Flew for over 70 Miles After Pilot Ejected Too Early | null | https://jalopnik.com/missing-135-million-f-35-flew-for-over-70-miles-after-1851687243 | 2 | 1 | [
42019328,
42018754
] | null | null | null | null | null | null | null | null | null | train |
42,018,673 | dataDroid | 2024-11-01T16:31:31 | Ask HN: Data Scientists/Analysts in Aviation | If anyone has experience working with small airlines or in aviation tech, i'm interested in your thoughts:<p>- Curious to learn more about the types of queries and data analysis commonly run at airlines? From what I’ve heard, the focus is often on customer loyalty, experience metrics, and ad hoc stakeholder requests, typically visualized through Tableau dashboards.<p>- What’s the best way to access airline data for building predictive models? | null | 1 | 1 | [
42019059
] | null | null | null | null | null | null | null | null | null | train |
42,018,675 | kylem866 | 2024-11-01T16:31:40 | Show HN: MassApply – Human Assistants Apply to SWE Jobs for You | Finding a new SWE job sucks. I know from going through several grueling job hunts myself how exhausting it can be—especially if you're juggling a day job or coursework.<p>One of the biggest pains in the process is having to send out endless applications. In 2024 many candidates have to submit hundreds of applications in order to land a role. Filling out applications is a time-consuming chore that could be better spent on interview prep, networking, or watching paint dry.<p>I created MassApply to relieve SWEs of this tedious duty. MassApply handles the bulk of applications for job-seekers. Candidates fill out a form with their preferences (title, location, minimum TC, etc.), and we submit applications on their behalf.<p>We’re offering a free beta of 40 applications to select users. Sign up on our website if you’re interested!<p>Feedback and questions are welcome! | https://massapply.io | 2 | 3 | [
42020550
] | null | null | null | null | null | null | null | null | null | train |
42,018,683 | boris_m | 2024-11-01T16:32:31 | Frames of Reality: The Interplay of Causality and Temporal Perception | null | https://abuseofnotation.github.io/time/01/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,690 | rntn | 2024-11-01T16:32:50 | My first DIY phone fix made me a self-repair believer | null | https://www.theverge.com/2024/11/1/24284078/hmd-skyline-repair-ifixit-battery-replacement | 16 | 1 | [
42020861
] | null | null | null | null | null | null | null | null | null | train |
42,018,705 | baja_blast | 2024-11-01T16:34:06 | Nature publishes groundbreaking study on artificially designed virus receptors | null | https://en.whu.edu.cn/info/3831/45391.htm | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,740 | bblcla | 2024-11-01T16:37:16 | PacCam: Pac-Man controlled with your face | null | https://eieio.games/paccam/ | 61 | 17 | [
42039144,
42041045,
42037379,
42046819,
42043155,
42047125,
42039488
] | null | null | null | null | null | null | null | null | null | train |
42,018,742 | covi | 2024-11-01T16:37:26 | Getting $1M cloud credits for AI startups – and using them wisely | null | https://blog.skypilot.co/million-dollar-cloud-credits-for-ai-teams/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,747 | dybeta | 2024-11-01T16:38:00 | null | null | null | 1 | null | [
42018748
] | null | true | null | null | null | null | null | null | null | train |
42,018,756 | zach_g | 2024-11-01T16:38:49 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,782 | sazyra | 2024-11-01T16:40:45 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,787 | FinnKuhn | 2024-11-01T16:41:13 | Secure messaging through distributed messages | null | https://www.tu-darmstadt.de/universitaet/aktuelles_meldungen/einzelansicht_478208.en.jsp | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,789 | animesh371g | 2024-11-01T16:41:15 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,796 | souravmaji1 | 2024-11-01T16:41:53 | Show HN: Made a PLatform to Solve B2B/B2C Lead Discovery Challenges | Hey HN! I'm excited to share LeadBuddy that transforms Reddit into a powerful lead generation engine using AI.
What We Do
LeadBuddy helps businesses and professionals find high-quality leads by intelligently searching and analyzing Reddit conversations.
Key Features
Lead Discovery<p>Keyword-based search across Reddit posts and comments
Real-time results from targeted subreddits
Full post and comment context retrieval<p>Smart Engagement<p>AI-generated response suggestions
Manual reply composition
Direct messaging capabilities
Comprehensive response tracking<p>Intelligent Analytics<p>Track leads' most active posting times
Monitor engagement rates
Understand conversation trends<p>Why LeadBuddy?<p>Save hours of manual searching
Precision-targeted lead generation
AI-assisted communication
Comprehensive tracking and analytics<p>Who's It For?<p>Sales professionals
Marketing teams
Startup founders
Freelancers
B2B/B2C service providers<p>Ask away! I'm here to discuss LeadBuddy, get feedback, and learn from the HN community. | https://leadbuddyai.vercel.app/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,798 | mobiqode | 2024-11-01T16:41:57 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,802 | apurvadev | 2024-11-01T16:42:14 | Why SlateDB is the right storage engine for stream processing | null | https://www.responsive.dev/blog/why-slatedb-for-kafka-streams | 6 | 0 | [
42018941
] | null | null | null | null | null | null | null | null | null | train |
42,018,811 | dotunlonge | 2024-11-01T16:42:58 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,824 | dtquad | 2024-11-01T16:44:00 | Imagine being Sundar Pichai now | null | https://twitter.com/levelsio/status/1852328083400933423 | 10 | 1 | [
42020447,
42018922
] | null | null | null | null | null | null | null | null | null | train |
42,018,830 | epicureanideal | 2024-11-01T16:44:27 | Boeing Dismantles Diversity Department | null | https://www.reuters.com/business/aerospace-defense/boeing-dismantles-diversity-department-bloomberg-news-reports-2024-10-31/ | 24 | 4 | [
42019955,
42019524,
42018964,
42019172,
42018899,
42018915
] | null | null | null | null | null | null | null | null | null | train |
42,018,832 | mkjuel | 2024-11-01T16:44:55 | Owntweet social media marketing network | Owntweet Social Network offers an engaging and versatile platform for users to interact, share content, and promote their businesses.
https://owntweet.com/ | null | 1 | 2 | [
42018842,
42018836
] | null | null | null | null | null | null | null | null | null | train |
42,018,838 | simonebrunozzi | 2024-11-01T16:45:19 | The future of Germany's automotive industry is bleak | null | https://newsletter.doomberg.com/p/far-from-gruven | 2 | 2 | [
42019039
] | null | null | null | null | null | null | null | null | null | train |
42,018,850 | onemandevteam | 2024-11-01T16:45:55 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,018,859 | 2bit | 2024-11-01T16:46:53 | On Device Llama 3.1 with Core ML | null | https://machinelearning.apple.com/research/core-ml-on-device-llama | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,874 | Brajeshwar | 2024-11-01T16:48:19 | You need to make archives, and how to | null | https://eclecticlight.co/2024/11/01/why-you-need-to-make-archives-and-how-to/ | 2 | 0 | null | null | null | no_error | Why you need to make archives, and how to | 2024-11-01T07:30:00+00:00 | null |
We back up to ensure that we can recover files, whole volumes, our complete Mac if needed. When that crucial document you were working on earlier has vanished, or becomes damaged, or disaster strikes a disk, backups are essential. But how do you preserve all those documents that used to come on paper, records, correspondence and certificates? How will you or your successors be able to retrieve them in ten or thirty years time? This brief article considers how you should archive them safely, which isn’t the same as backing them up.
By archiving, I mean putting precious files somewhere they can be retrieved in at least ten years time. They may include financial, business, employment and personal records, as well as all finished work that you want to record for posterity. For most, they’ll also include a careful selection of still images, movies, and the more important documents you might create, such as books, theses and papers. They’re what you and the law want you to keep in perpetuity, and to be able to retrieve even after you’re gone.
To see how this can be achieved, I consider: the storage medium to be used, file formats that will be retrievable, how to index them for access, physical storage conditions, and the checks of their integrity that are needed.
Storage medium
While backups are most likely to be kept on hard disks or SSDs, neither of those is in the least suitable for archives, as they have relatively short lifetimes and are too sensitive to storage conditions. Instead, you need a removable medium, today probably Blu-ray disks intended for archival use, such as M-DISC.
For those with copious archives of importance beyond their family, Sony used to offer Optical Disk Archive systems, but those products were discontinued last year and don’t appear to have a suitable replacement. This illustrates one of the problems with planning for the more distant future: today’s technology can all too easily become orphaned.
Businesses are increasingly turning to cloud services to store their archives, but for the great majority of us the recurring cost makes this impractical. In any case, best practice should be to use cloud services as a supplement to a physical archive. iCloud is more affordable for the storage of most important documents, but requires a Legacy Contact to be appointed.
File formats
While it’s fine to archive documents in their original format, as you do in your backups, it’s also important to extract their contents into more permanent formats. Among those most likely to prove durable for the next 50-100 years are:
UTF-8 (and formerly ASCII) for text files,
JPEG and PNG for still images,
audio, video and rich media using one of the widely-used compression standards and file formats,
XML-based open document standards,
CSV for data,
PDF provided that it complies with one of the archival standards PDF/A-1 to /A-4.
You may find it worthwhile tarring together large collections of smaller files, but don’t use an unusual compression or ‘archive’ format, which might prove inaccessible in the future.
Indexing and access
For larger collections, even when structured carefully, a thorough list of contents in UTF-8 text format is essential. While there are index and search tools that could help, in this respect too archives are different from backups. If you’re going to be gathering TB of files, look at some of the commercial solutions. Although some are free to use, like the long-established Greenstone, they aren’t intended for casual users and might prove demanding.
Physical storage conditions
Never print on the disk itself, which can result in its degradation, and keep paper records alongside disks in the same container, but not inside the cases themselves, where they could damage them.
Archive optical disks should be stored in cases with centre hub security, not in sleeves. They must be kept in a cool, dry and dark container, in which there is no mould or fungus. They also need to be protected from physical threats such as flood and fire. Firesafes are popular furniture for this, but you must then ensure that their combination or keys are readily available and not separated from the safe.
There used to be a vogue for commercial data repositories, often underground storage sites that had been repurposed. Not only were those expensive, but many failed to take the care that they promised, and plenty went bankrupt and put their contents at risk. If you can arrange it, store one copy with you, and another at a friend’s or relative’s at least a few miles away.
Integrity checks
If you’re serious about maintaining your archives, some form of integrity checking, such as that provided by my free utilities Dintch, Fintch and cintch, is essential. Check a sample on each disk once a year, to ensure that none has started to deteriorate. If you do detect errors, that’s the time to burn a replacement before the original is lost to decay.
Conclusion
Backups are for recovery, while archives are for posterity. Start building your archives now, and keep them safe for the future.
Further reading
How to burn a Blu-ray disc in Monterey
Wikipedia point of entry
Postscript
Some of you are reporting widespread claims that some Blu-ray burners no longer work in Sequoia. I have therefore repeated the process that I described in Monterey, using exactly the same Pioneer burner connected to a Mac Studio M1 Max running macOS 15.1. I’m delighted to report that it still works perfectly, and I see no reason that any other recent Pioneer optical drive should prove incompatible. All you need to do is follow the instructions.
Happy archiving!
| 2024-11-07T15:00:26 | en | train |
42,018,881 | pjmlp | 2024-11-01T16:48:36 | Microsoft JDConf 2025: Building the future with Java | null | https://devblogs.microsoft.com/java/microsoft-jdconf-2025-building-the-future-with-java/ | 3 | 0 | [
42019052
] | null | null | null | null | null | null | null | null | null | train |
42,018,882 | Jun8 | 2024-11-01T16:48:39 | Is web scraping a profitable industry? | null | https://substack.thewebscraping.club/p/is-web-scraping-a-profitable-industry | 4 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,883 | dcminter | 2024-11-01T16:48:40 | My final take on Gradle vs. Maven (2023) | null | https://blog.frankel.ch/final-take-gradle/ | 2 | 0 | [
42018969
] | null | null | no_error | My final take on Gradle (vs. Maven) | 2023-08-06T00:00:00+00:00 | Nicolas Fränkel |
I tweet technical content that I consider interesting, but the funny tweets are the ones that get the most engagement.
I attended the JavaLand conference in March, stumbled upon the Gradle booth, and found this gem:
Of course, at some point, a fanboy hijacked the thread and claimed the so-called superiority of Gradle.
In this post, I’d like to shed some light on my stance, so I can direct people to it instead of debunking the same "reasoning" repeatedly.
To manage this, I need to get back in time.
Software development is a fast-changing field, and much of our understanding is based on personal experience.
So here’s mine.
I started developing in Java in 2002.
At the time, there were no build tools:
we compiled and built through the IDE.
For the record, I first used Visual Age for Java; then, I moved to Borland JBuilder.
Building with an IDE has a huge issue:
each developer has dedicated settings, so artifact generation depends on the developer-machine combination.
Non-repeatable builds are an age-old problem.
My first experience with repeatable builds is Apache Ant:
Apache Ant is a Java library and command-line tool whose mission is to drive processes described in build files as targets and extension points dependent upon each other. The main known usage of Ant is the build of Java applications. Ant supplies a number of built-in tasks allowing to compile, assemble, test and run Java applications. Ant can also be used effectively to build non Java applications, for instance C or C++ applications. More generally, Ant can be used to pilot any type of process which can be described in terms of targets and tasks.
— https://ant.apache.org/
Ant is based on three main abstractions:
A task is an atomic unit of work, e.g., javac`to compile Java files, `war to assemble a Web Archive, etc.
Ant provides lots of tasks out-of-the-box but allows adding custom ones.A target is a list of tasksYou can define dependencies between tasks, such as package depending on compile.
In this regard, you can see Ant as a workflow execution engine.
I soon became "fluent" in Ant.
As a consultant, I went from company to company, project to project.
Initially, I mostly set up Ant, but Ant became more widespread as time passed, and I encountered existing Ant setups.
I was consistent in my projects, but other projects were very different from each other.
Every time, when arriving at a new project, you had to carefully read the Ant setup to understand the custom build.
Moreover, each project’s structure was different.
Some put their sources in src, some in sources, some in a nested structure, etc.
I remember once a generic build file that tried accommodating the whole of an organization’s project needs.
It defined over 80 targets in over 2,000 lines of XML.
It took me a non-trivial amount of time to understand how to use it with help and even more time to be able to tweak it without breaking projects.
The above project got me thinking a lot.
I wanted to improve the situation as the maintainers had already pushed Ant’s limits.
At the time, I was working with my friend Freddy Mallet (of Sonar fame).
We talked, and he pointed me to Maven.
I had once built a project with Maven but had no other prior experience.
I studied the documentation for hours, and through trial-and-error attempts, under the tutelage of Freddy, migrated the whole Ant build file to a simple parent POM.
In Ant, you’d need to define everything in each project.
For example, Ant requires configuring the Java files location for compilation;
Maven assumes they are under src/main/java, though it’s possible to override it.
Maven did revolutionize the Java build field with its Convention over Configuration approach.
Nowadays, lots of software offer sensible configuration by default.
For developers who go from project to project, as I did, it means there’s much less cognitive load when joining a new project.
I expect Java sources to be located under src/main/java.
Maven conventions continue beyond the project’s structure.
They also define the project’s lifecycle, from compilation to uploading the artifact in a remote registry, via unit and integration testing.
Finally, junior developers tend to be oblivious about it, but Maven defined the term dependency management.
It introduced the idea of artifact registries, where one can download immutable dependencies from and push artifacts to.
Before that time, each project had to store dependencies in its dedicated repository.
For the record, there were a couple of stored dependencies on the abovementioned project.
When I migrated from Ant to Maven, I had to find the exact dependency version.
For most, it was straightforward, as it was in the filename or the JAR’s manifest.
One, however, had been updated with additional classes.
So much for immutability.
Maven had a profound influence on all later build tools:
they defined themselves in reference to Maven.
Gradle’s primary claim was to fix Maven’s shortcomings, or at least what it perceived as such.
While Maven is not exempt from reproach, Gradle assumed the most significant issue was its lack of flexibility.
It’s a surprising assumption because that was precisely what Maven improved over Ant.
Maven projects have similar structures and use the same lifecycle:
the principle of least surprise in effect.
Conversely, Gradle allows customizing nearly every build aspect, including the lifecycle.
Before going to confront the flexibility argument, let me acknowledge two great original Gradle features that Maven implemented afterward:
the Gradle daemon and the Gradle wrapper.
Maven and Gradle are both Java applications that run on the JVM.
Starting a JVM is expensive in terms of time and resources.
The benefit is that long-running JVM will optimize the JIT-ed code over time.
For short-term tasks, the benefit is zero and even harmful if you take the JVM startup time into account.
Gradle came up with the Gradle daemon.
When you run Gradle, it will look for a running daemon.
If not, it will start a new one.
The command-line app will delegate everything to the daemon.
As its name implies, the daemon doesn’t stop when the command line has finished.
The daemon leverages the benefits of the JVM.
Chances are that your application will outlive your current build tools.
What happens when you need to fix a bug five years from now, only to notice that the project’s build tool isn’t available online?
The idea behind Gradle’s wrapper is to keep the exact Gradle version along with the project and just enough code to download the full version over the Internet.
As a side-effect, developers don’t need to install Gradle locally; all use the same version, avoiding any discrepancy.
Debunking Gradle’s flexibility
Gradle brought the two above great features that Maven integrated, proving that competition is good.
Despite this, I still find no benefit of Gradle.
I’ll try to push the emotional side away.
At its beginning, Gradle marketing tried to put down Maven on every possible occasion, published crazy comparison charts, and generally was very aggressive in its communication.
Let’s say this phase lasted far more than would be acceptable for a young company trying to find its place in the market.
You could say that Gradle was very Oedipian in its approach:
trying to kill its Maven "father".
Finally, after all those years, it seems it has wised up and now "loves Maven".
Remember that before Maven took over, every Ant project was ad hoc.
Maven did put an end to that.
It brought law to the World Wild West of custom projects.
You can disagree with the law, but it’s the law anyway, and everybody needs to stand by it.
Maven standards are so entrenched that even though it’s possible to override some parameters, e.g., source location, nobody ever does it.
I did experience two symptoms of Gradle’s flexibility.
I suspect far more exist.
Custom lifecycle phases
Maven manages integration testing in four phases, run in order:
pre-integration-test: set up anything the tests needintegration-test: execute the testspost-integration-test: clean up the resources, if anyverify: act upon the results of the tests
I never used the pre- and post-phases, as each test had a dedicated setup and teardown logic.
On the other side, Gradle has no notion of integration tests whatsoever.
Yet, Gradle fanboys will happily explain that you can add the phases you want.
Indeed, Gradle allows lifecycle "customization":
you can add as many extra phases into the regular lifecycle as you want.
It’s a mess, for each project will need to come up with both the number of phases required and their name:
integration-test, integration-tests, integration-testing, it (for the lazy), etc.
The options are endless.
The snowflake syndrome
Maven treat every project as a regular standard project.
And if you have specific needs, it’s possible to write a plugin for that.
Writing a Maven plugin is definitely not fun;
hence, you only write one when it’s necessary, not just because you have decided that the law doesn’t apply to you.
Gradle claims that lack of flexibility is an issue; hence, it wants to fix it.
I stand by the opposite:
lack of flexibility for my build tool is a feature, not a bug.
Gradle makes it easy to hack the build.
Hence, anybody who thinks their project is a special snowflake and deserves customization will happily do so.
Reality check:
it’s rarely the case; when it is, it’s for frameworks, not regular projects.
Gradle proponents say that it still offers standards while allowing easy configuration.
The heart of the matter is that it’s not a standard if it can be changed at anybody’s whim.
Gradle is the de facto build tool for Android projects.
In one of the companies I worked for, somebody wrote custom Groovy code in the Gradle build to run Sonar and send the metrics to the internal Sonar instance.
There was no out-of-the-box Sonar plugin at the time, or I assume it didn’t cut it.
So far, so good.
When another team created the company’s second Android project, they copy-pasted the first project’s structure and the build file.
The intelligent thing to do would have been, at this time to make an internal Gradle plugin out of the Sonar-specific code.
But they didn’t do it because Gradle made it so easy to hack the build.
And I, the Gradle-hater, took it upon myself to create the plugin.
It could have been a better developer experience, to say the least.
Lacking quality documentation and using an untyped language (Groovy), I used the console to print out the objects' structure to progress.
Conclusion
Competition is good, and Gradle has brought new ideas that Maven integrated, the wrapper and the daemon.
However, Gradle is built on the premise that flexibility is good, while my experience has shown me the opposite.
Ant was very flexible, and the cognitive load to go from one project to the next was high.
We, developers, are human beings:
we like to think our projects are different from others.
Most of the time, they are not.
Customization is only a way to satisfy our ego.
Flexible build tools allow us to implement such customization, whether warranted or not.
Irrelevant customizations bring no benefit and are easy to develop but expensive to maintain.
If managing software assets is part of my responsibilities, I’ll always choose stability over flexibility for my build tool.
To go further:
| 2024-11-08T05:51:32 | en | train |
42,018,891 | amichail | 2024-11-01T16:49:02 | DiscoveryWorld: Developing and Evaluating Automated Scientific Discovery Agents | null | https://allenai.github.io/discoveryworld/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,018,918 | leonev | 2024-11-01T16:51:14 | Nanocl the rust Kubernetes alternative new release | null | https://docs.next-hat.com/blog/nanocl-0.16 | 3 | 0 | null | null | null | no_error | Introducing Nanocl 0.16 | 2024-11-01T00:00:00.000Z | Leo Vernisse | We're excited to announce the release of Nanocl 0.16! This update brings a range of changes and improvements across the Nanocl ecosystem. Although this update may seem small, it lays the foundation for future scalability, especially around network meshing, with crucial enhancements in security and network binding. Let’s dive into what’s new and improved across our core components.
Highlights of Nanocl 0.16
One of the most significant improvements in this release is a shift in network architecture. Previously, each Nanocl namespace created its own Docker network, which posed challenges for future scalability, especially with IP binding across multiple nodes. With this release, we've moved to a single network for all containers, virtual machines, and jobs. This architecture will support seamless IP binding for multi-node scaling without compromising on efficiency.
To enhance security in this unified network, we’ve introduced TLS-based end-to-end encryption. By mounting TLS secrets directly inside each container (cargo), only processes with the correct TLS secret can communicate with each other over the network. This allows network discovery but restricts unauthorized access, maintaining security across your distributed applications.
Component Changes
ncproxy 0.13.0
Changed:
Updated to nanocld_client 0.16.0.
Improved target network selection using NetworkKind.
NetworkKind is now used to bind networks, enhancing flexibility in network management.
Fixed:
TLS proxy support to enable secure end-to-end encryption.
ncdns 0.8.0
Changed:
Updated to nanocld_client 0.16.0.
Network binding now utilizes NetworkKind for streamlined network operations.
nanocld 0.16.0
Added:
Mounted TLS secrets within each container (cargo) for enhanced security. Located in /opt/nanocl.io/secrets.
Loaded environment secrets in InitContainer for cargo and job configurations.
Injected internal gateway data ($$INTERNAL_GATEWAY) for ease of internal network management.
Changed:
Removed namespace-based network bindings to reduce overhead.
Fixed:
Resolved missing metadata issues in job specs.
Improved error messages for events.
Fixed issues with cargo InitContainer network selection.
Status when stopping a living object (cargo, vm, job)
nanocl 0.16.0 (CLI)
Added:
nanocl logs command for single-process log viewing for easier debugging.
nanocl inspect command for inspecting individual processes.
Changed:
Updated to nanocld_client 0.16.0.
Fixed:
Windows compatibility and resolved compilation issues.
Example End to End TLS Configuration
Below is an example of how to configure a TLS secret in Nanocl, showcasing the setup for a end to end tls encryption between the proxy and the cargo:
ApiVersion: v0.16Secrets:- Name: test-client Kind: nanocl.io/tls Immutable: false Data: Certificate: | -----BEGIN CERTIFICATE----- MIIErDCCApQCFA0NY4tAFj3MJEOqNJoUacx8lHhgMA0GCSqGSIb3DQEBCwUAMBQx EjAQBgNVBAMMCUN1c3RvbSBDQTAeFw0yNDAxMzExNTAwNDNaFw0yNTAxMzAxNTAw NDNaMBExDzANBgNVBAMMBmNsaWVudDCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCC AgoCggIBAMxpYNAVPRG3SArHfdzscL86o0St73ZFODMCb0WkVucDetCUTY6qcG+4 YzSNDpYKmwkdQ/k95zQPq09GKjD7Us2YrAvUM/Bk3rZ0LpI01ApmXDGKhGQRW/T5 U9veLOkjY3MzDQBdOYhwSQeHqmPyUepMfSmMeAFrLLo7SqVyjwxc9qLO4TATgsnA qlGYqeVr+VKdduy1/lcwetGb2swOFNWahaac9H6XN+5m3O0zj6tyq9u6G42RZswT gyW9pOiLa0BJWOK8ON7h7uPDEx6bwYTiBE2eyGPqT3HEPQjQ1jiJ3PEZN5YQj2A2 j6csjmostpDUweL0lH0VfsOOqFsZv3pGqNWMWSUqDTuGxxTcSRntVQNbW0OfG1zB t6ZtBbQqC/6RlpqSvXHf7K1ctqONJM27kpdmw9sAmqCRAnfxJCwwwnC1vrFnXNv7 WQGhjBeegyj0Acxh/ubXCwgqeVbxMVig49b1fUwm3eqaT8/zIQg9C8cp9BsF7PLw EA8IHO+/iiUGlq2vzsens3FPkJDaqsBVdFh3IBER4VzG63qe1ui0l80d9h/qKa/O 2CTSo8xy01fvxemjTmxMNdOwB6TLMPSpU+D3FEC17ptGqalwewlVIW9/67e4ebQH VF8/+zktn7mN8DMc+XNM2n1umrsXgz59xB6grkxb4SzTst408whFAgMBAAEwDQYJ KoZIhvcNAQELBQADggIBAG0qkRIzH1p4IdJz+FuwggXoV5qpCHzBfTBvb4SNVvxe BPryZ7Qxjc9/KpyOMHF9PqyHoTJoQRFesDpmFpgOfDSU2+mXsVBQb7y393uRLGMq K5XVLO1q8mFDI9ktB1N0vc6DvL8RE6IbN66AanKvtTzxlkHcpRtIwFnpRWJwyQqP HWa+0AFTkWMU3c1ljW5+kUVuUxrHA83W6cu8+pjz0wabfqFbe5o5ycRIR6aDJ2Dj DUltkPnstmgnTMfjS4/gJVOwKt248QPwLdGQxKhYNr587pISrGybNZ0c79VcuY6H 6Q/dDQI9gIG0vcfkyChpwO78ycsqfqTgqoURjoEFu1XM3+zyho4BdjBMvNVkKAuJ FhfdQF8UkpDvHNvM35QR9rjkebSC9yJjCqFAj8J7mRmgwfkfDbss/yurUFWCpAE3 QlJuwQPcg6Uq1EL0Diah7oYzy3exdZHlXoX2GJcAchOkGkzdjlggRD/o4BZ0yKR0 buV7W24av9syoNNUGl7IPBINJm0rs3+TjwGp60c+yay2APeG3TxP9wWQ0E0e8xYI /ZFFoHngBDkWbBBvrIy3bffXTisMlHXdt5WeoN5x1lrm+PVP/95Ntebj7DIK2TJx +Je/N6PsCqJkCxYIX2iA0DK+gzDcTy2bXiTysh01G7w9vKK1ycMVQNOWxlowBRnR -----END CERTIFICATE----- CertificateClient: | -----BEGIN PRIVATE KEY----- MIIJQgIBADANBgkqhkiG9w0BAQEFAASCCSwwggkoAgEAAoICAQCwjJ3Yg04CkFVx x3I+F7xQEB+FSe/7HhWHauGRauOpjJdif37b15xIPwxGyFJ5KTDkWkqQ/TWFagkB 4yUsYaoSZccL4taKWFuCFaSCtPGKc2nQbjQixELpg1T7T/OJFQvik5HAqvgCsnQB UcVXVf/36rqkTivI1m7Tl7D35XieQsgTqRy4QqWEQQKJVBVQ1Obotau+FsAiwAvB 51JlpFg60S6ZWtYuj5Ixh19Nj+5sSlHexcUk01jvHHmkUK1Xl6JPUNoIBJtqogV9 YlUeykEzZo8qqwTSbs8vUjW1L5e5d3ubVSwxozNbxtHLyrOAhYdM0R8wLhpKtaEO 5KKtSXzNsB7+Ggo3K69UV0syhXUPA8YOxiumKFJgBQ3guDFIo06cUFoRjjs/24ia P2PaGrRnqw8kOEnVaNNh53+kY+TA5moTPkeg/9IINsKh7OAPo3UEsGx8cerVslRM ALPCkOkmlLM8nZOX0+aUWrfwQbq/icsitPnE2Z/hm0uHm+X2slHNXf83cfPgK4O1 AM0dfwRozODbFWICPquYIX/GDw60tZ8PnIiJHnok69kb+bEI1OkEVbqnZKQErn14 hnKLWb8fsiJcI3VVHcT1qiAKE5uX1PvqFB8yULAzLtEVHINmPiZ2D+0mGHbbEtIM c3MhDsDdW/AHhlYv/ViBfrcxJfohbwIDAQABAoICABSp9gpSyV1WH2oYegVNKeav vGtmuAagWCISycwHbWt5inkmNbxC2YaV5TieVxOEqrWk4SK56vsZP2ylIBi4ZaY5 m2PcwlehoombQYy646UyKlRm/FswCtTiC575QKaZfAaiVxDsnJKpkxevG8tDxENJ igbpJLQhGl+nBY4+TDEvMn56m2NFtFxtGirmAzNZd/K3hh59ndzItZeVx6MglTht JhMfpVSrITqtfuNz0T2DhV7vBErHIfBQA5Ij5JC4AsYIeecuWDJ8PEBCCMx4cnaI WSwZUDsrv7w+LGMZ6vGeS9gRJAG7TwDoSG3zOlyfRF14AeUrFZC2VDTgtdmqcZzq QhgkY1EpETZYQyWtEBR2WP10r8HXJ9idKXCk99LgC+BL75DJc08/4NaP6c/6z4Cx Y6BubifUYAd5cXe30xy9CMQRFhw75JX+RxIv8hM450sdme9aH7Dpfi99i0QUu8r4 MGl1BzYaDIebJc126GxIn76sAAhtRFimHfG04venERvhVBDbJQ0NBiaQQpSzVS83 Y6gzEU6ssrX63cEU8mFlKGj5vFyvZriMjNTob9ec648A2go5lJjOEV3lA8fUCJHH eAYmDbMya8DVXok/j+l9v7iPhmuW3JfHPNgCS+9RYyj6dxkNBsJtzAwj0y6otDLZ 0B1xxMFgCfpCYjo2/2/hAoIBAQDm3l0lSRNLhdCpu14gWOWQeWftW3LFFVN1uTlT W+T4qncqhRxyZs0sbamkMsBs+Jv+6SFTo/MlT6msb7lVZYt7EfsTrjOOtvrUkg0P KODK1ncjO8PKhsaEcCoxDCiKfvQ4wZ22Ajsj4KCGyBDDiLA2BOw8AjSXr+h0oh4I CKPqBrXgfZROu8vl2U7l+A+KSqh9S/PD59kVQ/iLQfKktAacqF7Q0NwJx5AF5QCo ooeq7DP+ZhP/DXJGjw3gAHdKLPU2MuDdHizC0ZLfJYODzRpn4TXBQdpW9gXA9XKW xAtKDK22apHpEZGMjx3wxgpc9LZQLrdt9R+EdU0gqs7b2h7TAoIBAQDDxIf/oVEH YAtwMW2Yq3DVgPGulpRuQycuTMMJPW6eFvv+MDMmdjij+kkWtQrAN72Uxq3gd8Cg nDLokzHPhqpmqoNvXaqa3MfIAukXEL3mBLiNPodNlIzkf6qFBxX0Fe0qIEoK1TTz 7d42XX84DCEuQtUHfpoujgM25/u0jGg1ERnP1Jk9oc0YIDNAZTKadtRQ6OLSbZk7 KG9jCFchQtb2asKzmWF8Wr5C/5VKC5xIXPpKH74KAUnq/vini/LIOf+WFb2kSCoW MOhibZm3D2DNff4VOUM9q6CY0qB1r3W988p50D6zB1MStIQpymtVonjmi1xnKDlL nBBPv4PYVOl1AoIBAH+6EkpojXZBCFp/QOoghJFTub3F1E9ZJx2AZkjKFHnGxbsO fdiFK4oi+bHQKkmfmZ6EGF4P3JuN4U93WE/4qBxkrEYNIJUagtdMHlF+yi8uTCeA DyhjPD1VWOJd2agV6MPlyn1B6rpEsksfMLcdTm/0dUYV6kbpmW+9qWPEc/srzz/t +jk9COeXPGFaxi46c9EuTiTahm2Pd1iEGdwphWbyd9KLWtFGSVYZhi3GDczwdSuQ CgwXwltrFcASQe0Vxmw/5cwvv4/hJqKyPHqU5MEIBhdveX6XCkPhB46F08EaFplP iH4rrBzZqTTmPCGFecAOuIjrDo7X3t3t4hgcKuUCggEAanAAQUxD8e6WSXmWTNtp jat9u57DNO/t7Y5uvCdabTmx6JHsPY0pXn5GHsJwBfJIcQtUniZ95NUIGMtu2ZYu L4Ol0nbquygutuBeOtwvY1BNxv2oMtYBhHqlC46+sOb6+1xy5VDmaXl6x7Qt5xsx LyXHDTwYOBeeR8v5XkC4p6GUlxrP9mJyUBuxweFDkhfpd9Qm/qH4HeHuLbnrJXph xbhmA5/xENuFdoffc1K8tdtXedWoTWhF+C6Iow/EAHkILWHEqf1SZJ5SurE8Ufta dl96Na/cjzsxJeXeuB2dtplGDNTcQhpJYHIlKVOU6ApeEXrT0oJcJG/FrpZB6OzB wQKCAQEAiUNXWkm3kj3jHsc4o8eyvDkDt7lHqk1o4r+nQX0m/PSWhkt61kg5aTUI qBmuPZ+5ZcH3wC92w8M0S6rvxZHwdUS/UtqVsj/KKzp1zXY7gVqjp+ZOAMYo6nEK Qj835Xaw+RsuG4OVFIv/xiccG8gkERr8WCpkPaHcOoyJj6p/JLcIj4nT2/sllFRK 7PaAxFIOzQtzjzOvX3riVZl9ZvyY0G5noPYS9T1cxPtHDX3Pzddr1fHAxyQPac9T V2wQH2qCTkJCBzEqcoWAEv67PKhGFERXh4J13OxxGfej32D9I7xmtAXopFJV0YN1 hJuriKyWGRdv1yvfRLQzxRQsJOb0OA== -----END PRIVATE KEY----- CertificateKey: | -----BEGIN PRIVATE KEY----- MIIJQQIBADANBgkqhkiG9w0BAQEFAASCCSswggknAgEAAoICAQDMaWDQFT0Rt0gK x33c7HC/OqNEre92RTgzAm9FpFbnA3rQlE2OqnBvuGM0jQ6WCpsJHUP5Pec0D6tP Riow+1LNmKwL1DPwZN62dC6SNNQKZlwxioRkEVv0+VPb3izpI2NzMw0AXTmIcEkH h6pj8lHqTH0pjHgBayy6O0qlco8MXPaizuEwE4LJwKpRmKnla/lSnXbstf5XMHrR m9rMDhTVmoWmnPR+lzfuZtztM4+rcqvbuhuNkWbME4MlvaToi2tASVjivDje4e7j wxMem8GE4gRNnshj6k9xxD0I0NY4idzxGTeWEI9gNo+nLI5qLLaQ1MHi9JR9FX7D jqhbGb96RqjVjFklKg07hscU3EkZ7VUDW1tDnxtcwbembQW0Kgv+kZaakr1x3+yt XLajjSTNu5KXZsPbAJqgkQJ38SQsMMJwtb6xZ1zb+1kBoYwXnoMo9AHMYf7m1wsI KnlW8TFYoOPW9X1MJt3qmk/P8yEIPQvHKfQbBezy8BAPCBzvv4olBpatr87Hp7Nx T5CQ2qrAVXRYdyAREeFcxut6ntbotJfNHfYf6imvztgk0qPMctNX78Xpo05sTDXT sAekyzD0qVPg9xRAte6bRqmpcHsJVSFvf+u3uHm0B1RfP/s5LZ+5jfAzHPlzTNp9 bpq7F4M+fcQeoK5MW+Es07LeNPMIRQIDAQABAoICABDO02qYwc+XR1cM5fEIshFP VDB9Wt+EkTqZ3Htt/W/7wxlWhcq8LLL1sZaXHgLBYX543RIoAGmxUM/xFYlh3lel 0kkbYZ/xM2JDoGFeSFczPn5xBNzTk+ugpWrCqeULsg2Svjga8kmhQ1Kuru3j9XoI tbv5Cb8YHcfnFdwP1OpafzSOQp7447wM2b8MM2Ai0OVK/wXiGxqhPmAblXyfkHVV 7N/GhSYe72GXggVbxC2qqANRGhs5wFRPKxgAhYhSOndBRgvywnxf4zbwNJNuPECI cyZ3bsPPIZ7ZrikaPvB23ud7lYIDNOmKOFAHOQ31mkIYyc6Md488zr0WxF96o69X t7uprI/sIQhjFyTnSowOpGUq8x7zhw5McW3p5L6Ctl3BFQbeYDbJ2Nav7l+tJaLR NK0ywJWCn2Hlcn/PJpvlbOoO7xAy/ioqW6SFk6P+gW2cJQs88kjcPr62xG0aV/Hn QDLbp+Pxa+KjnhX2rB7Z9ek5aMQi3FSawX8PYzfFFaBNNAKtbBowYbs1EHLuBlsw 5xmKC3mWQz3jGjHnkXx8+kJPpnSXbVPRpxD+UXfg/0ka50em7hVJumXI+eJo+/XE ps34Jfe2M2LVJRbHz7VZjxCsGtNOW40cjzJWmW49lbz6Pa80DARcxnNwvR39/fKE ovEaJup2dbE1oMmWd1K7AoIBAQDXNQ+PzzDa8A47kJAYPRNyJzF9EBzpOewStAsS TOYo+UPXYoBuHjuvqgOmhsXD/AE3vAC+vaRY1avxlN5GkzEn/18qdkeMUz1CPojB SNkixoUu8eToVF/cdMl7mNLj1SjMyqcacBD9S48fmmmpD7bQ+YQMcoYOv8fMuXXe uHc+bgyge6HZIEZTMey7tENn4JnX0DhtieqaGxi0XWSUfsF5PfWbFN8OyowbgOrH BT/O8tiUey6cydv0U/jxszl/gu5HVUNkrj8njt0VbXhDyhSuc6puh7F0gOtZAV4S DIjnJS64ZPvCZp45xTgQG+I7YwKpLHNrtIzillMSUkD9tPDrAoIBAQDzKHV4BOT0 pEAjyCO5ByvNvv2AcLueJrYvOJMUuwzI83ruAsspYGCt7jhTnidMvjrGcwl9IQy0 ukgfPTYkinxl/Ce+jS/7sDb8SRa+IUxE1Psa/hZVBbk4+wWo8Kh34Z5TRCKBbau4 WaQBJZSOM9yH2YQMVVYN2qMT6PTCEgBZI4DxcNLHk9FMdyZF0zqvVnzT8e8pwU2J sz2efq2YO6m7R6IqrlDZIHvRCYY55koUFdt4D+JfuOWTz0l8MaBrzL29ybJHVamx wtSIyrBWCZn5T5xMzfdfKOSLsZ3xINKS2lmuwXRZFR7wmlT7RvgxTGnZ/Hrx1Vpp VL9b04kuHB+PAoIBAF9zvW8/qp+xEd8Bg6f8jv92utCJsQkRE9BH4xE+4mcSCDEk E2rEJh0H/46BAH6o67FYxcvUOWzdeOIx8VTEPG1NK1yeEaX/1Y/oRKfWM9jkzHXB /JG/urUBZ8xWQFOlW+9ZgzyKsD5ooRaXWn4N5jxSL2uF8EficDAxokIi92DNVvRn YaX4VrjXz/SBQ9RzHklGpYCQR2oK0q5NLite/VlVTfZ3D2h0FiisyXV0spSLydwx tr78GX8JL8WkhMA1xpIFE1s4nfJhv1WdtFX876dgzhswPFk8RSa5IIxI2wAK0eof gDr9YPimrPMYKwPEKo32lUsUTdjCbB4YNZNSCfkCggEANS+xWho/9l8DBJCfd7Zg 13UiP/jooPQ4v2VxjoRHjKDtT6hexeMl4oWL3oZmdDvb4VKCTdNv0ww4AFVERYPh J/Gaw+xgBX6K2G4oQlhINXocns/bFKfW1ubZWxWg0/AO0InDvmm9uOoqnHGa5+vi HfjvED+OPiOHrjAzcUu8tcK1TppuEGd9zWr2fSlx2a5iSX3O4WQ90JPbM5Lj57uN KcDGcO2GE6guTQ/3QyzjITeStNVMn8Fyvf0GRtsYCtxS2HOIwl+zaYWDNZSYM4mQ G19Vgds/c5ofO4sTUA3s4WBPY5E/IMkk5l3rnrbsTOQ49wxp3AHd79IwtSY1CFfw cwKCAQBnAEdsc0UTRTjVfFrgkd1eT5O6XRgqxyKz8/2ZtxvskbjKvekrpdIRUMIv tb8inY4JM1s1FNvGfYV7DUhRxIAxomLBvhj6cQVgUK/+5Jli9yXH+Wo1/aeDJ+XE U+NtM9zKqDbMDZpSL7P2tyuY4uULGxHKcw2nJ4kEtMiL2OqkgtK9J04te+szGH+S 1xqOm0tKjJZfe/7J3nqyvlnoVN+SHHyv8E/zHrcPLO0sLedurrQ0/sHv13/MGQcG uemOQEYBEtoyDFsa28u1iNKZJo6Sz3f2NLMe4RmrRGGqC0fS0EPS5zjlgN8RJu8l EDMo4iBXxfQa2PpBry2dyhFN07e2 -----END PRIVATE KEY----- VerifyClient: false- Name: test-srv Kind: nanocl.io/tls Immutable: false Data: Certificate: | -----BEGIN CERTIFICATE----- MIIEsTCCApkCFBdhDFVUKj+T74FUL+0R4tVm7+/bMA0GCSqGSIb3DQEBCwUAMBQx EjAQBgNVBAMMCUN1c3RvbSBDQTAeFw0yNDAxMzExNTAwMzJaFw0yNTAxMzAxNTAw MzJaMBYxFDASBgNVBAMMC2V4YW1wbGUuY29tMIICIjANBgkqhkiG9w0BAQEFAAOC Ag8AMIICCgKCAgEAuyYLpyMpy3yGT00omMvQ8v8hBq/NtstTI5I/B45fmEf9UmQC yDragWdkixQssLxOYro0qCj/O607AJHNakMaazZ4imgHhvzYuHMlvv27KXxLxCFj f1PXRTAzo3gCwJrC9HjGr23/3L8KWUlbI/12R2Vswlg4fa4BL7iOggPIV6qoRdjk X4un+50jELAweNfOy6OH+STCVkNCbAivett2VTyWCp9y+TI3wH1L8MBHwidY6d/0 Gzqh8EbTreqeU898wSSjZEJD8sxxBfECChvRBXVgp2vnAaWxAw+5dmIMr+PGPB2I 83GROYa1M9WoKBYzVDXxk0tyAqJ6kvgVzam6WIz3qdwMQUofy0ydyglG47SY8zs4 ivNus4tIkygcVHE+B1Jhu2FUFbvzdVQ5D9bRms4+OaK2QJ5YLpujRC0YSthOiToX /kVAZQzu/NcMqVNUy5/jeD07HvAt41c+dXLSqs6nRgwGquqKfCVHfDRB1/LScLfR A8/9LED24VhD3CvTIEEU++ncGw5xVXHc96cPZkBfcU4qM2NIZrLt4pAmorsGi7Wj P9c7VRtHmTuzlYXLD81/DpnahNtKI/awIu3cjM9mt6L5gSOvCV0D6J0gBhN/7v9b 0q+GqI/bEm9Ao2snlxFNmJwqqbDvyVcBuLAUDrtqYrpSgMHGJq69VPkI4gkCAwEA ATANBgkqhkiG9w0BAQsFAAOCAgEARswWop1ZibUSFobhEZR7kPKy3boPV+Dq0Ezj N4Sn+r1mgTo9alW6UqcGO7CJPWWILC9iEbmcW5CLrcDzb6Atax2VPBLWYK4SWXNf IBcXAdh75SYpx4M8eCcHlOb4FXTM3NGuGoJfUxDXBSFoe+iJ6WVnWCgbsqHqSMeK ZWL9rjScItMw9AK68CCRe4YVtwGIGNCd+TZsPekfDbqxBtVxa3XJkbjdONhLdgC0 JD8/5hpQj3LOMAtGvzcbzyZ+IbjLD8HttSvnZI1+iqUd6nOkACGiIrIMmR5Ao6GE 7dX6D/ue74PbQUUfI9jS/Ire6OtkOxPwvj83dLD6ZJ/dt3/Djt2S3pWnEnGxR1br mIvH5xIAjdrG7fSKBzOTMN3i+VFdKsC1f696RgYBlGyiB4LnJex8D7LWk2osXYRB 4/bLjuF3OlWIzvPZSZ8dUZcKrx/0XcgRCfneuDQAbQUcfw2cbkm0BDxetMCCVIyl cF77+NQ0KQqrTQe9qPhkpwmIT6nA8T3Tn/KoZwoLOuNN3PRoOfcTKCFym5+qN/c6 VfD4nH+otSEbCfkbIe3Uu7yxyGRJB3OSL8MyHLe8eGsMRCSxzUxlTy6Qaj3X2Cdk ZUlYGbfyOq07srXzLHRMiW1QhpTA0Fos9Mc/HvdlNvg6guG496+XknELJzCN1t8W fll3jsU= -----END CERTIFICATE----- CertificateClient: | -----BEGIN PRIVATE KEY----- MIIJQgIBADANBgkqhkiG9w0BAQEFAASCCSwwggkoAgEAAoICAQCwjJ3Yg04CkFVx x3I+F7xQEB+FSe/7HhWHauGRauOpjJdif37b15xIPwxGyFJ5KTDkWkqQ/TWFagkB 4yUsYaoSZccL4taKWFuCFaSCtPGKc2nQbjQixELpg1T7T/OJFQvik5HAqvgCsnQB UcVXVf/36rqkTivI1m7Tl7D35XieQsgTqRy4QqWEQQKJVBVQ1Obotau+FsAiwAvB 51JlpFg60S6ZWtYuj5Ixh19Nj+5sSlHexcUk01jvHHmkUK1Xl6JPUNoIBJtqogV9 YlUeykEzZo8qqwTSbs8vUjW1L5e5d3ubVSwxozNbxtHLyrOAhYdM0R8wLhpKtaEO 5KKtSXzNsB7+Ggo3K69UV0syhXUPA8YOxiumKFJgBQ3guDFIo06cUFoRjjs/24ia P2PaGrRnqw8kOEnVaNNh53+kY+TA5moTPkeg/9IINsKh7OAPo3UEsGx8cerVslRM ALPCkOkmlLM8nZOX0+aUWrfwQbq/icsitPnE2Z/hm0uHm+X2slHNXf83cfPgK4O1 AM0dfwRozODbFWICPquYIX/GDw60tZ8PnIiJHnok69kb+bEI1OkEVbqnZKQErn14 hnKLWb8fsiJcI3VVHcT1qiAKE5uX1PvqFB8yULAzLtEVHINmPiZ2D+0mGHbbEtIM c3MhDsDdW/AHhlYv/ViBfrcxJfohbwIDAQABAoICABSp9gpSyV1WH2oYegVNKeav vGtmuAagWCISycwHbWt5inkmNbxC2YaV5TieVxOEqrWk4SK56vsZP2ylIBi4ZaY5 m2PcwlehoombQYy646UyKlRm/FswCtTiC575QKaZfAaiVxDsnJKpkxevG8tDxENJ igbpJLQhGl+nBY4+TDEvMn56m2NFtFxtGirmAzNZd/K3hh59ndzItZeVx6MglTht JhMfpVSrITqtfuNz0T2DhV7vBErHIfBQA5Ij5JC4AsYIeecuWDJ8PEBCCMx4cnaI WSwZUDsrv7w+LGMZ6vGeS9gRJAG7TwDoSG3zOlyfRF14AeUrFZC2VDTgtdmqcZzq QhgkY1EpETZYQyWtEBR2WP10r8HXJ9idKXCk99LgC+BL75DJc08/4NaP6c/6z4Cx Y6BubifUYAd5cXe30xy9CMQRFhw75JX+RxIv8hM450sdme9aH7Dpfi99i0QUu8r4 MGl1BzYaDIebJc126GxIn76sAAhtRFimHfG04venERvhVBDbJQ0NBiaQQpSzVS83 Y6gzEU6ssrX63cEU8mFlKGj5vFyvZriMjNTob9ec648A2go5lJjOEV3lA8fUCJHH eAYmDbMya8DVXok/j+l9v7iPhmuW3JfHPNgCS+9RYyj6dxkNBsJtzAwj0y6otDLZ 0B1xxMFgCfpCYjo2/2/hAoIBAQDm3l0lSRNLhdCpu14gWOWQeWftW3LFFVN1uTlT W+T4qncqhRxyZs0sbamkMsBs+Jv+6SFTo/MlT6msb7lVZYt7EfsTrjOOtvrUkg0P KODK1ncjO8PKhsaEcCoxDCiKfvQ4wZ22Ajsj4KCGyBDDiLA2BOw8AjSXr+h0oh4I CKPqBrXgfZROu8vl2U7l+A+KSqh9S/PD59kVQ/iLQfKktAacqF7Q0NwJx5AF5QCo ooeq7DP+ZhP/DXJGjw3gAHdKLPU2MuDdHizC0ZLfJYODzRpn4TXBQdpW9gXA9XKW xAtKDK22apHpEZGMjx3wxgpc9LZQLrdt9R+EdU0gqs7b2h7TAoIBAQDDxIf/oVEH YAtwMW2Yq3DVgPGulpRuQycuTMMJPW6eFvv+MDMmdjij+kkWtQrAN72Uxq3gd8Cg nDLokzHPhqpmqoNvXaqa3MfIAukXEL3mBLiNPodNlIzkf6qFBxX0Fe0qIEoK1TTz 7d42XX84DCEuQtUHfpoujgM25/u0jGg1ERnP1Jk9oc0YIDNAZTKadtRQ6OLSbZk7 KG9jCFchQtb2asKzmWF8Wr5C/5VKC5xIXPpKH74KAUnq/vini/LIOf+WFb2kSCoW MOhibZm3D2DNff4VOUM9q6CY0qB1r3W988p50D6zB1MStIQpymtVonjmi1xnKDlL nBBPv4PYVOl1AoIBAH+6EkpojXZBCFp/QOoghJFTub3F1E9ZJx2AZkjKFHnGxbsO fdiFK4oi+bHQKkmfmZ6EGF4P3JuN4U93WE/4qBxkrEYNIJUagtdMHlF+yi8uTCeA DyhjPD1VWOJd2agV6MPlyn1B6rpEsksfMLcdTm/0dUYV6kbpmW+9qWPEc/srzz/t +jk9COeXPGFaxi46c9EuTiTahm2Pd1iEGdwphWbyd9KLWtFGSVYZhi3GDczwdSuQ CgwXwltrFcASQe0Vxmw/5cwvv4/hJqKyPHqU5MEIBhdveX6XCkPhB46F08EaFplP iH4rrBzZqTTmPCGFecAOuIjrDo7X3t3t4hgcKuUCggEAanAAQUxD8e6WSXmWTNtp jat9u57DNO/t7Y5uvCdabTmx6JHsPY0pXn5GHsJwBfJIcQtUniZ95NUIGMtu2ZYu L4Ol0nbquygutuBeOtwvY1BNxv2oMtYBhHqlC46+sOb6+1xy5VDmaXl6x7Qt5xsx LyXHDTwYOBeeR8v5XkC4p6GUlxrP9mJyUBuxweFDkhfpd9Qm/qH4HeHuLbnrJXph xbhmA5/xENuFdoffc1K8tdtXedWoTWhF+C6Iow/EAHkILWHEqf1SZJ5SurE8Ufta dl96Na/cjzsxJeXeuB2dtplGDNTcQhpJYHIlKVOU6ApeEXrT0oJcJG/FrpZB6OzB wQKCAQEAiUNXWkm3kj3jHsc4o8eyvDkDt7lHqk1o4r+nQX0m/PSWhkt61kg5aTUI qBmuPZ+5ZcH3wC92w8M0S6rvxZHwdUS/UtqVsj/KKzp1zXY7gVqjp+ZOAMYo6nEK Qj835Xaw+RsuG4OVFIv/xiccG8gkERr8WCpkPaHcOoyJj6p/JLcIj4nT2/sllFRK 7PaAxFIOzQtzjzOvX3riVZl9ZvyY0G5noPYS9T1cxPtHDX3Pzddr1fHAxyQPac9T V2wQH2qCTkJCBzEqcoWAEv67PKhGFERXh4J13OxxGfej32D9I7xmtAXopFJV0YN1 hJuriKyWGRdv1yvfRLQzxRQsJOb0OA== -----END PRIVATE KEY----- CertificateKey: | -----BEGIN PRIVATE KEY----- MIIJQgIBADANBgkqhkiG9w0BAQEFAASCCSwwggkoAgEAAoICAQC7JgunIynLfIZP TSiYy9Dy/yEGr822y1Mjkj8Hjl+YR/1SZALIOtqBZ2SLFCywvE5iujSoKP87rTsA kc1qQxprNniKaAeG/Ni4cyW+/bspfEvEIWN/U9dFMDOjeALAmsL0eMavbf/cvwpZ SVsj/XZHZWzCWDh9rgEvuI6CA8hXqqhF2ORfi6f7nSMQsDB4187Lo4f5JMJWQ0Js CK9623ZVPJYKn3L5MjfAfUvwwEfCJ1jp3/QbOqHwRtOt6p5Tz3zBJKNkQkPyzHEF 8QIKG9EFdWCna+cBpbEDD7l2Ygyv48Y8HYjzcZE5hrUz1agoFjNUNfGTS3IConqS +BXNqbpYjPep3AxBSh/LTJ3KCUbjtJjzOziK826zi0iTKBxUcT4HUmG7YVQVu/N1 VDkP1tGazj45orZAnlgum6NELRhK2E6JOhf+RUBlDO781wypU1TLn+N4PTse8C3j Vz51ctKqzqdGDAaq6op8JUd8NEHX8tJwt9EDz/0sQPbhWEPcK9MgQRT76dwbDnFV cdz3pw9mQF9xTiozY0hmsu3ikCaiuwaLtaM/1ztVG0eZO7OVhcsPzX8OmdqE20oj 9rAi7dyMz2a3ovmBI68JXQPonSAGE3/u/1vSr4aoj9sSb0CjayeXEU2YnCqpsO/J VwG4sBQOu2piulKAwcYmrr1U+QjiCQIDAQABAoICADuk0+jn+X17CbkDT7Fmn4ia C9X8OHUN1sjK5qCLXOcE5nSYIBTdQN8l6vKyMs3+rYKkcny3WCSWQGwdi5hWm3hY y1Dc960rLwyV0g1NAxWlIeZ3d6TQPRa1Vne+Gy50BDbyuOuXBIi/L9al3NCbClOV vPQxNovDZWhmirBf8T0TS/66sYnL0fUMLu02IbSZnrPiwcaC0xa359bTa82dXNis busixvspaIBFzmqDdTso3BrpP3xgEtUnVXYjhGMUiN9rRFGDFvGt+0VX+nzrQZHa RzwEVQJ+4mul2sciV4XE81wcU5W2d4CccGp9KNLhxGkNqhh13nd9fdASFazOb28W UMBzEhQPU6um1u/KJW3jEUulWp9KMKfE8qiwjb/NnA2VSFADT4IFOoCh8kutA5JD x6QgzSqoQ0g8Bon/bK4BdY+x6lx1mpHn2C8bTyASoAUdxxvIQzYRCqXwObOhW0ae +s72nFlMACy8wXhyKF5RiBZ7TTdUfspXB0Ax+MSOD4P6d2+SGDUhigbXQBpy8GgH EF2gBHEh+C/DIShX7RHFvx4M413u8pW+tMnB0iGMQfRMjCGG2mTcLXg2WFa+zWDg 6q1U6/4OAgwIE+n6qoIh7snmrASCPaJ5dgQVUHjhpkkd50BYdcbRlAvIBf2jVui9 QsWoPoLBVwjJp8BUFp9DAoIBAQDr9yQBPfsQN6ek3/SJllaDpt8P5lA54wCVYTgt 1wKfkSBorjses3r6oznAgFSo4BLwsqfAMnzXwIJL9HyXSxp9lLmt6Ak6oHNb2H3k URf5GyUfXoBbZE9mi5qHifbqvtOJHaeK2ITE3Sq/DO6/4jZQtax+XpdoL8p5JQW1 sQ26DfP1QKhXDChaz/wtfn0VuP6KAwgq9ZKS+q9F3kV0YZvhFDdiNNboj9ytJvNF u8sVoWwC53mK+ozh82/D5cvxlS9ho2g5xGyvyhzNkDxi6aGMMEaJ1/mGgEs9FCtL +nNW4kFGGy85u2MYHjUqE3pdB8GJ5lPTYXsO36B4ZZ8IBaJfAoIBAQDLCddCiLdA sbasquuXK7y/T7L6TBMjTB+7R9z1ITzRol8BmmIk3JW4iY2QGDDun0p0dp49hGo0 WiaIEQE0VwwVxlqFTfNvsX7gwmDs6Gw2JXqgHU5sHpgiWAohzIHHZAfg724osfcN dUVs5NIJFi1ZTW6Ak5BjfIbBUpTX+GbtHviu8cXUjD05xBE8r02j48yPnmkrarDU A3GucHd1/6E9QHyjYHOg6ba9Yp1JsFeCG0F/oxJwPLNMd0JUYRo7uWMTU3buehEv sMJMMyvLW1GLKrfkB1xVqw/EjNLo/7i1oObeO7SQjJDf3DtLiEce5ScRGlILUtGS pLRAmEqkV2SXAoIBAGr1tPlnKgX45GIFLmirn/2/R3+Ci70hm+MalYeZ3dOMyl8J Ez1gaA9yq7wJr9Z487ztjsK9X//AgI+DfHJsFc70+pHNC1nq3z+zy6UR6Ub+uf4V LSPAPYmjIGHt9OIFrAeMTKTQbqZ6BmVhrFuIY8yD/XOu1vzgJOxzDrqETk+XAY2b SHNkzGoVux64JmURXTgcFbi7Zjx/q7GFBoCxuiH1swEuKHh0tbg7XqyuamkcqcRL PrnzxqapXXE0GhUg5cBhfN4qnoW0nQfFKMpBUvwj6eWT48THJNPD77haB6xLlQD9 U5Pc0BdfogO3npDK8jzbDgZUOp7MWYYZslPFkgsCggEAL2ge0LQnRX25D1vhIize JzUuru5wUX+GsS24U6vtDW2CDVfErqKqeqnzWb+sPSsIMWU40VhHi+24rXB6/YON mM/1dsaanmutGkGIbAhgq8vYc+Yj127VSr+PrhCYBLxAcq6049+ZtZS6HxDWUbTR 5dYEhRTvU6tRs3XatwqSza67le1xqY0NBp3XAHpWAHxB2Q69s5t3qikbtAUif3Su ayTRdTwiA2JOfq211+zKoeBHTMwAlCA4JRR7ckQx4dwJXAvS6x+pP59f3nbcNOEf iwTwZtepIX+NcPEIlcqPkCj/fsgmAtIvSXWciqhJIteSZZXlrisqL7kxNRvZ4cFe BQKCAQEA4J9kZpD9BtZ8xeqiu0Fno4mukk7eACHDxKfoBHe3KmBRBJD1ywoxgtks iZnzJq/aS3/U/5L9iN7uc8ZR23jTV5ite7xDt1/jydXx4mm/GoAclwgL1A9Av8dt y0kxm7BPycMAlpA45naVwDBD3TfgEIYYdP9a6L/ECHPX2BG8a6FtdW1g3NGTMIkU 5q22fbzEKsxacURxMM/wBKBAFMrN/N1KHjl2qudiIEv7wm/qgJUjMrE0ViQ0Jb8b p24rcfkBsN2h/A95oyX0bnlRL4LUSlQDcmfc2NWylXjWjnBYeRBzzkouYLsdTgHK LnG2nPscWJpYbyj2sYzIdM1LgPOMIA== -----END PRIVATE KEY----- VerifyClient: falseResources: - Name: tls-end-to-end-example.com Kind: ncproxy.io/rule Data: Rules: - Domain: tls-end-to-end-example.com Network: All Locations: - Path: / Target: Key: test-web-tls.global.c Port: 443 # Use the client tls secret Ssl: test-clientCargoes: - Name: test-web-tls # Use the server tls secret Secrets: - test-srv Container: Image: docker.io/nginx:alpine Cmd: - /bin/sh - -c - | echo 'server { listen 443 ssl; ssl_certificate /opt/nanocl.io/secrets/test-srv.crt; ssl_certificate_key /opt/nanocl.io/secrets/test-srv.key; ssl_client_certificate /opt/nanocl.io/secrets/test-srv.ca; root /usr/share/nginx/html; index index.html; }' > /etc/nginx/conf.d/default.conf; echo "<html><body><h1>Hello, World!</h1></body></html>" > /usr/share/nginx/html/index.html; nginx -g 'daemon off;'
What’s Next?
With the foundation laid in this release, we’re in a strong position to add advanced networking features like multi-node support and enhanced IP address binding. The unified network model paired with our TLS-based end-to-end encryption helps to secure network traffic without sacrificing scalability.
Thank you for your continued support of Nanocl! As always, feel free to join the discussion on GitHub and stay tuned for more exciting updates.
Happy deploying!
Nanocl Team | 2024-11-08T20:09:02 | en | train |
42,018,927 | shcheklein | 2024-11-01T16:51:43 | ML experiment tracking and visualization plugin for VS Code | null | https://github.com/iterative/vscode-dvc | 1 | 0 | null | null | null | no_error | GitHub - iterative/vscode-dvc: Machine learning experiment tracking and data versioning with DVC extension for VS Code | null | iterative | DVC Extension for Visual Studio Code
Quick start • What you get •
Commands • Configuration •
Debugging • Contributing •
Telemetry
Run, compare, visualize, and track machine learning experiments right in VS
Code. This extension uses DVC, an open-source data
versioning and ML experiment management tool. No additional services or
databases are required.
🔔 Stay up-to-date with the latest product updates and tutorials by subscribing
to the DVC YouTube channel!
Experiment tracking: Record training data, parameters, and metrics on top
of Git. Navigate your experiments, compare their
results, and find the best ML models.
Visualization: Plot performance data in a customizable dashboard including
one or more overlaid experiments.
Live tracking: Capture and see metrics changing in real time.
Reproducibility: Make sure that anyone can recover or confirm previous
experiments, and run new experiments based on their results.
Data Management: Handle and version large datasets, files, and models
effectively right from VS Code.
Note: We always welcome feedback! Feel free to reach out via Discord or
open issues in GitHub.
Why prefer this extension?
Enjoy the best developer experience with the first experiment tracking
interface for an IDE.
No external servers, databases, subscriptions, etc. Data stays fully under
your control and your existing Git hosting is used to share and collaborate.
Go beyond a simple metrics dashboard with complete ML experiments that include
metrics, code, and data. Powered by DVC experiment
versioning.
Implement data versioning on top of your favorite cloud storage, such as
Amazon S3, Azure Blob Storage, Google Cloud Storage, NFS, etc.
Quick start
Install this extension in VS Code.
Follow the steps set out on the Setup page!
💡 Feel free to try our example DVC project first! Opening it with Github
Codespaces will include this extension automatically.
Learn more about DVC (Data Version Control)
See the DVC documentation to Get Started with Experiments or Data
Management. For deeper learning, try our free course! More resources.
What you get
This extension augments VS Code in the following ways:
Adds a brand-new new DVC View ( icon in the Activity Bar) with panels to
visualize and manage DVC Experiments.
Provides special Editors to manage Experiments and display Plots
in IDE Tabs.
Adds a DVC Tracked panel to the Explorer view. This shows a tree of
the data files and directories tracked by DVC, including their state, and
options to synchronize them (from/to remote storage).
Adds a DVC panel to the Source Control view to display the workspace
status. You can restore or reset project versions (based on the current Git
HEAD commit) as well as manage new and existing data from here.
Registers several Commands in the Command Palette (see next section).
Includes a DVC channel for the Output panel (useful for
debugging).
Useful commands
Open the Command Palette (F1 or ⇧⌃P on Windows/Linux or ⇧⌘P on macOS) and type
in one of the following commands:
Command
Description
DVC: Show Setup
Show the extension's setup page. Which can be used to setup the DVC project, view the walkthrough and more.
View: Show DVC
Open the extension's view container.
DVC: Show Experiments
Show an interactive version of DVC's exp show command.
DVC: Show Plots
Show an interactive version of DVC's plots diff command.
Learn more about the extension's commands.
Configuration
These are the VS Code settings available for the Extension:
Option
Description
dvc.dvcPath
Path or shell command to the DVC binary. Required unless Microsoft's Python extension is installed and the dvc package found in its environment.
dvc.pythonPath
Path to the desired Python interpreter to use with DVC. Should only be utilized when using a virtual environment without Microsoft's Python extension.
dvc.experimentsTableHeadMaxHeight
Maximum height of experiment table head rows.
dvc.focusedProjects
A subset of paths to the workspace's available DVC projects. Using this option will override project auto-discovery.
dvc.doNotInformMaxExperimentsPlotted
Do not inform when plotting more experiments is blocked (maximum number selected).
dvc.doNotShowSetupAfterInstall
Do not prompt to show the setup page after installing. Useful for pre-configured development environments.
dvc.doNotRecommendAddStudioToken
Do not prompt to add a studio.token to the global DVC config, which enables automatic sharing of experiments to DVC Studio.
dvc.doNotRecommendRedHatExtension
Do not prompt to install the Red Hat YAML extension, which helps with DVC YAML schema validation (dvc.yaml and .dvc files).
dvc.doNotRecommendMermaidSupportExtension
Do not prompt to install the Markdown Preview Mermaid Support extension, which helps to visualize DVC pipeline DAGs.
dvc.doNotShowCliUnavailable
Do not warn when the workspace contains a DVC project but the DVC binary is unavailable.
Note that the Setup The Workspace command helps you set up the basic
ones at the Workspace level (saved to .vscode/setting.json).
Python
This extension is integrated with Microsoft's Python extension. When possible,
the Python extension's selected interpreter will be used to locate DVC. The
PYTHONPATH environment variable identified via the python.envFile config
setting is also respected.
DVC Studio
Studio is a collaboration platform for Machine Learning teams. The extension
will help you to connect to Studio by providing guidance and managing the
required DVC config options. See the DVC Studio section of the Setup page for
more information.
Debugging
The DVC Extension
Please see the DVC channel in the IDE's Output panel to see the underlying
DVC commands being run, as well as their error output. Feel free to share this
with us via Discord or use it to report issues in GitHub.
Your DVC project
Due to the way DVC pipelines run scripts of any language from the command line,
users must debug pipeline scripts (e.g. train.py) standalone in whatever way
debuggers are run on the base language - this is standard for debugging DVC
pipelines, and most scripts are capable of running outside of DVC.
Contributing
See the development and contributing guidelines in
CONTRIBUTING.md.
Data and telemetry
The DVC Extension for Visual Studio Code collects usage data and sends it to
Azure to help improve our products and services. This extension respects the
telemetry.enableTelemetry setting which you can learn more about at
https://code.visualstudio.com/docs/supporting/faq#_how-to-disable-telemetry-reporting.
| 2024-11-07T22:23:02 | en | train |
42,018,933 | internetdrew | 2024-11-01T16:52:11 | Show HN: Vite-Express-Vercel Starter Kit | A few people have had issues getting this going when deploying their app to Vercel. I created this to help someone get up and running successfully without the back and forth of searching. | https://github.com/internetdrew/vite-express-vercel | 1 | 0 | [
42018980
] | null | null | null | null | null | null | null | null | null | train |
42,018,944 | 7OHMitragynine | 2024-11-01T16:53:01 | null | null | null | 1 | null | [
42018945
] | null | true | null | null | null | null | null | null | null | train |
42,018,958 | dgroshev | 2024-11-01T16:53:49 | The Sane Rendering Manifesto [video] | null | https://www.youtube.com/watch?v=KwiwIbjcjW4 | 1 | 0 | [
42018996
] | null | null | null | null | null | null | null | null | null | train |
42,018,982 | kissgyorgy | 2024-11-01T16:55:36 | Next.js to Htmx – A Real World Example [video] | null | https://www.youtube.com/watch?v=8RL4NvYZDT4 | 3 | 0 | [
42019013
] | null | null | null | null | null | null | null | null | null | train |
42,018,984 | luis_likes_math | 2024-11-01T16:55:40 | null | null | null | 1 | null | [
42018985
] | null | true | null | null | null | null | null | null | null | train |
42,018,990 | null | 2024-11-01T16:55:57 | null | null | null | null | null | null | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,019,000 | jonasnelle | 2024-11-01T16:56:39 | Show HN: Autotab Instruct – Claude Computer Use with Guardrails for Reliability | Hi HN,<p>We’ve built a desktop app to create highly reliable AI agents that use a computer with mouse and keyboard.<p>Until last week, we had tried many different approaches to open-ended agentic features but none of them had met our reliability bar.<p>With Anthropic’s Computer Use this finally changed, and we just shipped a feature we’re calling Instruct. Instruct allows users to create agentic blocks as part of a larger Autotab skill that provides the structured logical flow to keep the automation on track.<p>If you haven’t had a chance to try Computer Use yet, it is an impressive leap from the last generation of vision models (e.g. gpt4o struggles with relative positions, let alone coordinates). At the same time, it is still not good enough to be given a prompt and let loose.<p>One of the big surprises to us early on was just how much intent specification is required for most real world workflows to run reliably. What looks at first like a simple form filling task usually turns out to have dozens of edge cases and super specific, hidden rules. Even human employees need to be shown how to perform these tasks, and then refined with question-asking + feedback over time.<p>We wanted to build a tool for specifying intent, and iterating with the model to make it reliable enough for real work.<p>- Automations run on top of an action scaffold, which works kind of like a very fuzzy programming language with strict types. This gives the model a high level plan that guides execution, and makes it easy to break out discrete steps to get the reliability you need. (Interestingly, this has also proven useful not just for the agent, but also for the human trying to create, verify and edit the automation.)
- When the model is unsure it asks for clarification. For example, if you are in editing mode and the model thinks that an element looks meaningfully different than before, it will ask you to verify that it is the same element.
- The agent has access to a memory system that lets it recall information from past runs as well as instructions and feedback from the user.<p>Here's a short video of Autotab Instruct in action: <a href="https://www.loom.com/share/ccf4e9d8c798450da3324a6cff024971?sid=5e12f4ef-d9f4-41a4-b0dc-1f721eb3e6ee" rel="nofollow">https://www.loom.com/share/ccf4e9d8c798450da3324a6cff024971?...</a>. There are a few more demos at <a href="https://twitter.com/autotabai/status/1852393973165199425" rel="nofollow">https://twitter.com/autotabai/status/1852393973165199425</a> a75f06f82cab521bc78672ed35d85e8a.<p>We’d love to hear what you think! | null | 13 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,002 | noitpmeder | 2024-11-01T16:56:50 | India's Day of Auspicious Trading | null | https://en.wikipedia.org/wiki/Muhurat_trading | 3 | 4 | [
42019003,
42019036
] | null | null | null | null | null | null | null | null | null | train |
42,019,023 | Bhilai | 2024-11-01T16:58:00 | Musk appears to have worked in the US without authorization | null | https://www.wired.com/story/elon-musk-citizenship-revoked-denaturalized/ | 14 | 11 | [
42019745,
42019468,
42019033
] | null | null | null | null | null | null | null | null | null | train |
42,019,037 | resumesfyi | 2024-11-01T16:58:45 | null | null | null | 1 | null | [
42019038
] | null | true | null | null | null | null | null | null | null | train |
42,019,042 | thethingcreator | 2024-11-01T16:58:54 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,019,053 | akshayc | 2024-11-01T16:59:53 | Show HN: Saphira – Understand Standards and Deliver Compliant Hardware | Hey HN! We’re Oscar and Akshay from Saphira (<a href="https://saphira.ai">https://saphira.ai</a>). We collaborate with robotics and aerospace companies to certify their products, which requires us to be deeply familiar with relevant standards and frameworks to produce requirements and test lists. To automate our work, we built an AI agent that we’re making publicly available that specifically searches for appropriately structured technical details in these large, hierarchical documents. Here’s a demo: <a href="https://youtu.be/XJlthEtetb8" rel="nofollow">https://youtu.be/XJlthEtetb8</a>.<p>If you’ve ever had the fortune of digging through ISO or UL standards or OSHA/FAA CFRs to build a safety case while preparing for certification of a hardware product, you know that it can quickly become a hot mess of references to dozens of sub-frameworks. That’s what we encountered and have tried to fix.<p>We’ve learned by writing safety cases and building compliance plans that this agent must be able to do things like identifying exactly the right section of a standard that applies to a particular topic of consideration, such as the insulation width for a particular wire in a robot to prevent heat and current transfer in order to produce touch safety, which is actually directly stated in the appropriate substandard section!<p>When identifying these sorts of sections, we must then be able to reference a knowledge graph derived from the standard to identify which substandards to traverse to, and critique identified sections to state whether they actually contain technical details, or just definitions or further references.<p>You can log into Saphira at the provided link, specify details about your project to allow us to associate relevant standards with your project, then start issuing these sorts of queries for free! You can even upload arbitrary documents to our Context Store to try this out on specific complex documents you wish to traverse!<p>We’re actively improving all of this, so please share any feedback! | https://prod.saphira.ai | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,066 | APIDNA | 2024-11-01T17:01:08 | null | null | null | 1 | null | [
42019067
] | null | true | null | null | null | null | null | null | null | train |
42,019,070 | Imustaskforhelp | 2024-11-01T17:01:11 | Ask HN: Is there a website where people can discuss about education system? | Hello there Hackernews , I was watching a youtube video about education system in general one day (from a different country than my home country) and I observed that the person in the video was rather pessimistic about education system and was giving up what I would call many fair points.<p>Though there are reasons to be optimistic as well I wouldn't call our society fair in its current state (personal opinion on which I don't want to argue much) simply because people have left the thinking of such things to others or have come to dumbed down conclusions like the video earlier just tldr'ing college is worthless .<p>I think we as humans can do better than this. I was thinking of creating / asking it as a plea if somebody could create such a website , basically a forum)<p>Like a forum where people can discuss and hopefully come up to agreement on what changes to add to education system which could then be given to local governments with pledge ? (maybe a forum for different countries is okay ? )<p>Looking forward to your opinions on this topic. | null | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,083 | klelatti | 2024-11-01T17:02:14 | Broadwell's EDRAM: VCache Before VCache Was Cool | null | https://chipsandcheese.com/p/broadwells-edram-vcache-before-vcache | 72 | 15 | [
42019826,
42022198,
42026074,
42021787
] | null | null | null | null | null | null | null | null | null | train |
42,019,086 | udev4096 | 2024-11-01T17:02:37 | Carrot Disclosure | null | https://dustri.org/b/carrot-disclosure.html | 2 | 0 | [
42019412
] | null | null | no_error | Carrot disclosure | null | jvoisin |
Carrot disclosure
Once you have found a vulnerability, you can either sit on it, or disclose it.
There are usually two ways to disclose, with minor variations:
Coordinated Disclosure,
where one gives time to the vendor to issue a fix before disclosing
Full Disclosure,
where one discloses immediately without notifying anyone before.
I would like to coin a 3rd one: Carrot Disclosure, dangling a
metaphorical carrot in front
of the vendor to incentivise change. The main idea is to only publish the
(redacted) output of the exploit for a critical vulnerability, to showcase that the
software is exploitable. Now the vendor has two choices: either perform a
holistic audit of its software, fixing as many issues as possible in the hope
of fixing the showcased vulnerability; or losing users who might not be happy
running a known-vulnerable software. Users of this disclosure model are of
course called Bugs Bunnies.
We all looked at catastrophic web applications, finding a ton
of bugs, and deciding not to bother with reporting them, because they were too
many of them, because we knew that there will be more of them lurking, because
the vendor is a complete tool and it would take more time trying to properly
disclose things than it took finding the vulnerabilities, … This is an
excellent use case for Carrot Disclosure! Of course, for unauditably-large
codebases, it doesn't work: you've got a Linux LPE, who cares.
Interestingly, it shifts the work balance a bit: it's usually harder to write
an exploit than it's to fix here. But here, the vendor has to audit and fix
its entire codebase, for the ~low cost of one (1) exploit, that you don't even
have to publish if you don't want to.
If you want to be extra-nice, you can:
Publish the SHA256 of the exploit, to prove
that you weren't making things up, once it's fixed or if you get sued for
whatever frivolous reasons like libel.
Maintain the exploits against new versions, proving that the exploit is still
working.
Publish the exploit once it has been fixed, otherwise you risk to have
vendors call your bluff next time, or at least notify that the issue has been
fixed. Since you don't have hardcoded offsets because we're in 2024, you can even
put this in a continuous integration.
Let's have an example, as a treat. A couple of shitty vulnerabilities for
RaspAP that took me 5 minutes to find and at least 5
more to write an exploit for each of them:
$ ./read-raspap.py 10.3.141.1 /etc/passwd | head -n 5
[+] Target is running RaspAP
[+] Dumping /etc/passwd
root:x:0:0:root:/root:/bin/bash
daemon:x:1:1:daemon:/usr/sbin:/usr/sbin/nologin
bin:x:2:2:bin:/bin:/usr/sbin/nologin
$ ./authed-mitm-raspap.py 10.3.141.1
[+] default login/password in use
[+] backdooring system…
[+] system backdoored, enjoy your permanent MITM!
$ ./leak-wifi-password-raspap.py 10.3.141.1
[+] Got the wifi password: "secretwifipassword"
$ ./leak-wireguard-key-raspap.py 10.3.141.1
[+] Got the key! Saved as ./wg-10.3.141.1.key
$ ./brick-raspap.py 10.3.141.1
[+] Target is running RaspAP
[+] Bricking the system…
[+] System bricked!
$
It looks like there is a low-hanging unauthenticated arbitrary code execution
chainable with a privilege escalation to root as well, but since writing an
exploit would take more than 5 minutes, I can't be bothered, and odds are that
it'll be fixed along with the persistent denial-of-service anyway. Let me know
when you think those are fixed.
edit: couple of days later, it seems to be a success:
A pull-request from
defendtheworld
adding more escaping, and making all the ajax requests authenticated.
Another pull-request from one of the authors of RaspAP,
adding a bit more hardening on top of it.
But there are still more things to fix.
This article has been published in Paged Out #4, page 37.
| 2024-11-07T20:09:16 | en | train |
42,019,116 | phoenixwan | 2024-11-01T17:05:09 | Recraft V3 AI Image Generator | null | https://recraftv3.com/ | 2 | 0 | [
42019117
] | null | null | null | null | null | null | null | null | null | train |
42,019,125 | mariuz | 2024-11-01T17:05:37 | You can now run prompts against images, audio and video in terminal using LLM | null | https://simonwillison.net/2024/Oct/29/llm-multi-modal/ | 3 | 1 | [
42020552
] | null | null | null | null | null | null | null | null | null | train |
42,019,127 | fagnerbrack | 2024-11-01T17:05:40 | Real-Time Mouse Pointers | null | https://www.canva.dev/blog/engineering/realtime-mouse-pointers/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,164 | elsewhen | 2024-11-01T17:08:36 | US FTC probing Deere over customers' 'right to repair' equipment | null | https://www.reuters.com/business/us-ftc-probing-deere-antitrust-consumer-protection-inquiry-filing-shows-2024-10-17/ | 7 | 0 | [
42019416
] | null | null | null | null | null | null | null | null | null | train |
42,019,192 | refrigerator | 2024-11-01T17:11:20 | Tell HN: We (Causal) got acquired – thank you HN | Hi HN, I'm the co-founder/CEO of Causal. We just announced our acquisition: <a href="https://www.causal.app/blog/causal-joins-the-lucanet-group" rel="nofollow">https://www.causal.app/blog/causal-joins-the-lucanet-group</a><p>Just wanted to say a big thank you to the HN community —<p>Everything started with this post from over 5 years ago [1] which gave me and Lukas (CTO) enough conviction to quit our jobs to work on Causal full-time.<p>A few months later we launched an Excel sensitivity tool [2]. In 2022 we shared how we scaled our calculation engine to billions of cells [3] and a few months ago we had a successful Show HN of Causal 2.0 [4]<p>The product is now used by 100s of startups (many YC companies) and we're excited for this next phase of growth within Lucanet :)<p>[1] <a href="https://news.ycombinator.com/item?id=19704418">https://news.ycombinator.com/item?id=19704418</a><p>[2] <a href="https://news.ycombinator.com/item?id=21625974">https://news.ycombinator.com/item?id=21625974</a><p>[3] <a href="https://news.ycombinator.com/item?id=32000400">https://news.ycombinator.com/item?id=32000400</a><p>[4] <a href="https://news.ycombinator.com/item?id=39755858">https://news.ycombinator.com/item?id=39755858</a> | null | 220 | 80 | [
42022721,
42019393,
42023215,
42024364,
42021530,
42022049,
42028332,
42021903,
42021200,
42024243,
42022224,
42023080,
42022949,
42022725,
42022418,
42029291,
42021969,
42021915,
42022029,
42023414,
42021202,
42021959,
42021902,
42021652,
42021360,
42024565,
42022142,
42024999,
42021836
] | null | null | null | null | null | null | null | null | null | train |
42,019,202 | deltaknight | 2024-11-01T17:12:11 | Show HN: What Could It Cost? | What Could It Cost? challenges you to see if you really know how much you're spending on your groceries.<p>It's a simply daily-puzzle-style game that gives you 5 products from trolley.co.uk's Grocery Price Index, and asks you to guess how much they cost. The closer you are to the actual price, the more points you get. The price is averaged across a number of UK supermarkets, with the prices from October 2024. So if you normally buy something for £1.99, it might show as an unexpected £1.87 as it's averaged with another cheaper supermarket.<p>I often find myself not really noticing how much I spend on my individual items when shopping (I must be far too middle class), so thought I'd test out my knowledge, in a similar sort of way to the Name Your Price gameshow.<p>The site is open-source, you can find the GitHub link on the homepage. I made this so that I could learn more about Elixir & Phoenix LiveView, so the code is by no means clean at all :). I hope to clean it up as I learn more about Elixir. | https://whatcoulditcost.amandhoot.com | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,217 | timbilt | 2024-11-01T17:13:25 | Claude can now view images within a PDF | null | https://twitter.com/AnthropicAI/status/1852393688451653849 | 8 | 2 | [
42019274,
42019396
] | null | null | null | null | null | null | null | null | null | train |
42,019,228 | tintinnabula | 2024-11-01T17:14:23 | The decline of the working musician | null | https://www.newyorker.com/magazine/2024/10/28/band-people-franz-nicolay-book-review | 78 | 64 | [
42070137,
42071004,
42069464,
42069675,
42071431,
42069272,
42070775,
42071092,
42070212,
42069334,
42069764,
42071159,
42069452,
42071223,
42069649,
42069177
] | null | null | missing_parsing | The Decline of the Working Musician | 2024-10-21T06:00:00.000-04:00 | Hua Hsu | Before the gig economy consumed a third of the workforce, it was mostly musicians who worried about gigs. There are debates about the origins of the word—some believe it derives from an eighteenth-century term for horse-drawn carriages that may have doubled as stages for performers, while others contend that it was adapted from a Baroque dance called the gigue. But the “gig,” as shorthand for a casual, one-off paid performance, entered the popular lexicon during the Jazz Age of the nineteen-twenties and thirties. There was a mystique to the gigging musician wandering the big city in search of work, because this work was creative, improvisational, at times transcendent.Young people who came of age before the twenty-first century, Franz Nicolay argues in a new book called “Band People: Life and Work in Popular Music,” could be forgiven for assuming that working one’s way up from gigs to a steady job in music was a plausible career path. You might not make it as a chart-topping star, but there were still opportunities for “band people”—the “hired guns” or “side-of-the-stagers” who offered structure and support. Music was everywhere, and there had to be people to play it. Nicolay’s book details the lives of working musicians, especially those far from the spotlight: background vocalists hired for uncredited recording sessions, rhythm guitarists playing on freelance contracts. Not that the spotlight in question shines all that brightly to begin with; most of the dozens of artists Nicolay spoke to work in commercially tenuous realms, such as indie rock or punk, in which a band like Sonic Youth represents the imagination’s zenith.But anyone who has streamed a song on their phone for free can sense that something has changed. “Musicians,” Nicolay argues, “were the canaries in the coal mine of the precariat”—the original freelancers making do. “Band People” might be one of the least bacchanalian books ever published about the rock-and-roll life style, but also one of the most honest. It’s a collection of stories about how musicians who have made contributions to songs beloved by millions, and who have played alongside David Bowie or Madonna, simply get by.Nicolay understands the industry’s highs and lows, having been a member of the Hold Steady, a rock band known for its elaborate storytelling, and of the carnivalesque punk band the World/Inferno Friendship Society. In 2016, he published “The Humorless Ladies of Border Control,” a funny and sharply observed account of touring in Eastern Europe. He is particularly lively when discussing the alchemy of bands in his own terms. “Every band is a foreign country,” he writes, “with its peculiar customs and dialects, slang and standards. But every band is also (when it works) a small business, a romance, an employer/employee dynamic, a hierarchy, a creative collaboration, and something between a family—siblings or cousins, sometimes literally—and a gang.”Nicolay makes these gangs sound like a lot of fun, while also demystifying them. Some band people prefer hierarchy and assertive decision-makers; others aspire to a more chaotic kind of democracy. Some envy the star; others feel sorry for him. Jon Rauhouse, a musician who tours with the singer Neko Case, is glad not to be the one that interviewers want to speak with—he’s free to “go to the zoo and pet kangaroos.” Band people are often asked to interpret cryptic directives in the studio. The multi-instrumentalist Joey Burns recalls one singer who, in lieu of instructions, would tell him stories about the music—he might be told to imagine a song they were working on as “a cloud in the shape of an elephant, and it’s trying to squeeze through a keyhole to get into this room.”Many musicians prefer the “emotional life” of the band to be familial, rather than seeing their bandmates as “a handful of co-workers.” And despite the collective dream that brings artists together, the critic and theorist Simon Frith argues, “the rock profession is based on a highly individualistic, competitive approach to music, an approach rooted in ambition and free enterprise,” which feeds perfectly into a quintessentially American zero-to-hero dream. This, Nicolay suggests, is what makes the prospect of, say, “a hypothetical union,” which might negotiate fees with a club on behalf of musicians, unimaginable.“The idea that openly discussing money is coded as ‘uncool’ is one of the tells of economic privilege,” he writes, “especially in indie rock.” (He leaves open the possibility that these dynamics may differ in spheres outside his expertise, including hip-hop.) But some of the musicians Nicolay interviewed seem hopeful that they might defer the discussion altogether. “I was afraid of maybe not enjoying drumming or music as much if I monetized it,” Ara Babajian, who has played with Leftöver Crack and the Slackers, admits. But there’s a deeper issue around how songs function as commodities. “The original sin of song copyright in America is that it wasn’t set up for a context of collective creativity,” Nicolay writes. Songwriting credits are often split between lyrics and music. Drummers, for example, traditionally have a much harder time getting credit for their contributions, because the cultural and legal framework for pop music values melody and harmony over rhythm. Nicolay notes, “Credits on a song that remains popular even as an act breaks up or retires is as close to a 401(k) as a band person is likely to get.”The book is unusual for the music genre in that it doesn’t compel you to seek out the songs of all the people Nicolay spoke to. But you come away wishing that they could all succeed, at least on their own terms. Some of the musicians have mixed feelings about their chosen careers. “It depends on the day,” Babajian tells Nicolay. “Today I feel like a tired old whore. Some days I feel like a god. Most of the time I feel like an ambitious T-shirt salesman with entitlement issues.”Except for a few afternoons in my late teens and twenties, hunched over guitars and samplers, I’ve never really played in a band. This makes me precisely the type of person who has glamorous assumptions about what it must be like to be in one. Working as a journalist, with occasional glimpses into life on the road, in the studio, or backstage, has done little to disabuse me of my fascination. Even the boring parts—watching people kill time, waiting around to play or for inspiration to strike—seem freighted with possibility. The fact that people make music together has always appeared to be proof that community is possible. Reading “Band People,” I was struck by the amount of work required simply to stay collegial with one another—the division of labor, the sheathing of ego, the grace.Nicolay, who is in his late forties, acknowledges that these are all rather “bloodless and unromantic” approaches to thinking about rock—an art form that remains synonymous with a kind of excess even though it has surrendered its status as the lingua franca of youthful rebellion. He identifies what he sees as the “apparent prudishness of younger musicians.” Where rock music once rationalized devilish behavior, he writes, “a generation raised on new language about sexual propriety and fearful of online public shaming for off-the-clock behavior” is more cautious than debauched. There’s a hint of judgment there. But the pragmatism of young artists could be, in part, the product of growing up in uncertain times, with a hollowed-out and faddish music industry, which forces them to shoulder more responsibility for their careers, from the logistics of booking their own shows to the consequences of their bad behavior.Many of Nicolay’s interviews took place in the mid-twenty-tens, and, although the musicians he spoke to are honest about the particularities of their situations, they seem to have had little sense of the changes still to come: the complete domination of Spotify and the shrinking of streaming royalties, the pressures of social media and its near-constant demands for engagement. There’s still money in music today, at least at the very top. Spotify reported its most profitable quarter ever this summer, Taylor Swift is winding down the highest-grossing concert tour in history, and, in the past few years, superstar artists have found new revenue by selling the rights to their music. Hipgnosis Songs Fund, a company based in the U.K., made news for paying hundreds of millions of dollars for the back catalogues of Justin Bieber and Shakira, among others.But, for those just starting out, the opportunities for a sustainable career—for joining Nicolay’s “musical middle class”—appear to be vanishing. There’s probably never been a better time to share a song you’ve made, and yet it’s harder than ever to get paid for it. A stream on Spotify nets a performer about a fraction of a penny—and those royalties accrue only if a song meets a minimum threshold of a thousand streams in the previous twelve months. Last year, it was estimated that about two-thirds of the songs on Spotify would not reach that threshold. For some, access to the world’s listeners is a worthwhile trade-off. Music can remain a cherished hobby; you can’t sully a passion with money when there is none to be made.And yet the dream of leaving gig work behind for long-term work still appeals to many. One of my favorite albums of the year so far is “Mucho Mistrust,” by Fake Fruit, an Oakland band that always seems to be hurrying through its twitchy, shambolic songs. Its singer, Hannah D’Amato, has spoken of managing her band during breaks from her day job as a nanny. One moment, in the band’s songs, she is brash and unfazed, stridently commanding the punk chaos; seconds later, she surrenders to the harsh swells around her, angling her voice into a scream or a yodel. She sounds as though she’s been conditioned to prepare for anything. “My well of patience has run dry / Don’t even try to ask me why,” she sings coolly, the sources of her distress too numerous to name. Instead, she turns the blame inward, a common response to losing at a game that’s rigged. “The fault is no one else’s but mine / Don’t think I haven’t tried,” she continues, repeating the last word seventeen more times, until it sounds futile. ♦ | 2024-11-08T20:12:36 | null | train |
42,019,229 | bookflow | 2024-11-01T17:14:23 | A community for digital nomad/traveling/living abroad families | null | https://www.roammies.com | 2 | 1 | [
42019230
] | null | null | null | null | null | null | null | null | null | train |
42,019,240 | tempaccount420 | 2024-11-01T17:15:11 | ChatGPT asks users to install their search xtension that replaces default search | null | https://chromewebstore.google.com/detail/chatgpt-search/ejcfepkfckglbgocfkanmcdngdijcgld | 1 | 0 | null | null | null | Failed after 3 attempts. Last error: Quota exceeded for quota metric 'Generate Content API requests per minute' and limit 'GenerateContent request limit per minute for a region' of service 'generativelanguage.googleapis.com' for consumer 'project_number:854396441450'. | ChatGPT search - Chrome Web Store | null | null | OverviewChange default search engine to ChatGPT search.Note: ChatGPT search is available to all ChatGPT Plus and Team users, as well as SearchGPT waitlist users. Enterprise and Edu users will get access in the next few weeks. We’ll roll out to all Free users over the coming months.
This extension will make ChatGPT your default search engine in Chrome. Once ChatGPT has been set as your default search engine, you can search directly via your browser URL bar.
ChatGPT You can get fast, timely answers with links to relevant web sources, which you would have previously needed to go to a search engine for. This blends the benefits of a natural language interface with the value of up-to-date sports scores, news, stock quotes, and more. Chats also now include links to sources, such as news articles and blog posts, giving you a way to learn more.
In order to redirect a query to Google search, type "!g [your query]" (e.g. !g foobar) directly in your browser URL bar.
You can read more about ChatGPT search and access OpenAI's Privacy Policy here: https://help.openai.com/en/articles/9237897-chatgpt-searchTony TNov 6, 2024Not having the consideration to add both "Search ChatGPT for ...." *and* "Search Google for ...." items to the right-click context menu is a complete deal-breaker.
ChatGPT search has been disabled until this problem is addressed.14 out of 16 found this helpfulMuhammad Ali KhawajaNov 6, 2024It takes a while to show the search results. Omni bar search queries needs a snappier UI.4 out of 4 found this helpfulViníciusNov 6, 2024Amazing!!! Better than google.3 out of 5 found this helpfulDetailsVersion1.11UpdatedNovember 6, 2024Offered byOpenAISize11.81KiBLanguagesDeveloperOpenAI3180 18th St
San Francisco, CA 94110-2043
US Email [email protected] Phone +1 650-842-0962TraderThis developer has identified itself as a trader per the definition from the European Union.D-U-N-S080579740PrivacyThe developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.This developer declares that your data isNot being sold to third parties, outside of the approved use casesNot being used or transferred for purposes that are unrelated to the item's core functionalityNot being used or transferred to determine creditworthiness or for lending purposes | 2024-11-08T01:01:03 | null | train |
42,019,244 | belter | 2024-11-01T17:15:22 | Research reveals hidden antibiotics in non-immune proteins | null | https://english.elpais.com/science-tech/2024-10-29/research-reveals-hidden-antibiotics-in-non-immune-proteins.html | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,247 | belter | 2024-11-01T17:15:59 | What I've Learned from Hacker News (2009) | null | https://paulgraham.com/hackernews.html | 5 | 5 | [
42020161
] | null | null | Failed after 3 attempts. Last error: Quota exceeded for quota metric 'Generate Content API requests per minute' and limit 'GenerateContent request limit per minute for a region' of service 'generativelanguage.googleapis.com' for consumer 'project_number:854396441450'. | What I've Learned from Hacker News | null | null | February 2009Hacker News was two years
old last week. Initially it was supposed to be a side project—an
application to sharpen Arc on, and a place for current and future
Y Combinator founders to exchange news. It's grown bigger and taken
up more time than I expected, but I don't regret that because I've
learned so much from working on it.GrowthWhen we launched in February 2007, weekday traffic was around 1600
daily uniques. It's since grown to around 22,000. This growth
rate is a bit higher than I'd like. I'd like the site to grow,
since a site that isn't growing at least slowly is probably dead.
But I wouldn't want it to grow as large as Digg or Reddit—mainly
because that would dilute the character of the site, but also because
I don't want to spend all my time dealing with scaling.I already have problems enough with that. Remember, the original
motivation for HN was to test a new programming language, and
moreover one that's focused on experimenting with language design,
not performance. Every time the site gets slow, I fortify myself
by recalling McIlroy and Bentley's famous quote
The key to performance is elegance, not battalions of special
cases.
and look for the bottleneck I can remove with least code. So far
I've been able to keep up, in the sense that performance has remained
consistently mediocre despite 14x growth. I don't know what I'll
do next, but I'll probably think of something.This is my attitude to the site generally. Hacker News is an
experiment, and an experiment in a very young field. Sites of this
type are only a few years old. Internet conversation generally is
only a few decades old. So we've probably only discovered a fraction
of what we eventually will.That's why I'm so optimistic about HN. When a technology is this
young, the existing solutions are usually terrible; which means it
must be possible to do much better; which means many problems that
seem insoluble aren't. Including, I hope, the problem that has
afflicted so many previous communities: being ruined by growth.DilutionUsers have worried about that since the site was a few months old.
So far these alarms have been false, but they may not always be.
Dilution is a hard problem. But probably soluble; it doesn't mean
much that open conversations have "always" been destroyed by growth
when "always" equals 20 instances.But it's important to remember we're trying to solve a new problem,
because that means we're going to have to try new things, most of
which probably won't work. A couple weeks ago I tried displaying
the names of users with the highest average comment scores in orange.
[1]
That was a mistake. Suddenly a culture that had been more
or less united was divided into haves and have-nots. I didn't
realize how united the culture had been till I saw it divided. It
was painful to watch.
[2]So orange usernames won't be back. (Sorry about that.) But there
will be other equally broken-seeming ideas in the future, and the
ones that turn out to work will probably seem just as broken as
those that don't.Probably the most important thing I've learned about dilution is
that it's measured more in behavior than users. It's bad behavior
you want to keep out more than bad people. User behavior turns out
to be surprisingly malleable. If people are
expected to behave
well, they tend to; and vice versa.Though of course forbidding bad behavior does tend to keep away bad
people, because they feel uncomfortably constrained in a place where
they have to behave well. But this way of keeping them out is
gentler and probably also more effective than overt barriers.It's pretty clear now that the broken windows theory applies to
community sites as well. The theory is that minor forms of bad
behavior encourage worse ones: that a neighborhood with lots of
graffiti and broken windows becomes one where robberies occur. I
was living in New York when Giuliani introduced the reforms that
made the broken windows theory famous, and the transformation was
miraculous. And I was a Reddit user when the opposite happened
there, and the transformation was equally dramatic.I'm not criticizing Steve and Alexis. What happened to Reddit
didn't happen out of neglect. From the start they had a policy of
censoring nothing except spam. Plus Reddit had different goals
from Hacker News. Reddit was a startup, not a side project; its
goal was to grow as fast as possible. Combine rapid growth and
zero censorship, and the result is a free for all. But I don't
think they'd do much differently if they were doing it again.
Measured by traffic, Reddit is much more successful than Hacker
News.But what happened to Reddit won't inevitably happen to HN. There
are several local maxima. There can be places that are free for
alls and places that are more thoughtful, just as there are in the
real world; and people will behave differently depending on which
they're in, just as they do in the real world.I've observed this in the wild. I've seen people cross-posting on
Reddit and Hacker News who actually took the trouble to write two
versions, a flame for Reddit and a more subdued version for HN.SubmissionsThere are two major types of problems a site like Hacker News needs
to avoid: bad stories and bad comments. So far the danger of bad
stories seems smaller. The stories on the frontpage now are still
roughly the ones that would have been there when HN started.I once thought I'd have to weight votes to keep crap off the
frontpage, but I haven't had to yet. I wouldn't have predicted the
frontpage would hold up so well, and I'm not sure why it has.
Perhaps only the more thoughtful users care enough to submit and
upvote links, so the marginal cost of one random new user approaches
zero. Or perhaps the frontpage protects itself, by advertising what type of submission is expected.The most dangerous thing for the frontpage is stuff that's too easy
to upvote. If someone proves a new theorem, it takes some work by
the reader to decide whether or not to upvote it. An amusing cartoon
takes less. A rant with a rallying cry as the title takes zero,
because people vote it up without even reading it.Hence what I call the Fluff Principle: on a user-voted news site,
the links that are easiest to judge will take over unless you take
specific measures to prevent it.Hacker News has two kinds of protections against fluff. The most
common types of fluff links are banned as off-topic. Pictures of
kittens, political diatribes, and so on are explicitly banned. This
keeps out most fluff, but not all of it. Some links are both fluff,
in the sense of being very short, and also on topic.There's no single solution to that. If a link is just an empty
rant, editors will sometimes kill it even if it's on topic in the
sense of being about hacking, because it's not on topic by the real
standard, which is to engage one's intellectual curiosity. If the
posts on a site are characteristically of this type I sometimes ban
it, which means new stuff at that url is auto-killed. If a post
has a linkbait title, editors sometimes rephrase it to be more
matter-of-fact. This is especially necessary with links whose
titles are rallying cries, because otherwise they become implicit
"vote up if you believe such-and-such" posts, which are the most
extreme form of fluff.The techniques for dealing with links have to evolve, because the
links do. The existence of aggregators has already affected what
they aggregate. Writers now deliberately write things to draw traffic
from aggregators—sometimes even specific ones. (No, the irony
of this statement is not lost on me.) Then there are the more
sinister mutations, like linkjacking—posting a paraphrase of
someone else's article and submitting that instead of the original.
These can get a lot of upvotes, because a lot of what's good in an
article often survives; indeed, the closer the paraphrase is to
plagiarism, the more survives.
[3]I think it's important that a site that kills submissions provide
a way for users to see what got killed if they want to. That keeps
editors honest, and just as importantly, makes users confident
they'd know if the editors stopped being honest. HN users can do
this by flipping a switch called showdead in their profile.
[4]CommentsBad comments seem to be a harder problem than bad submissions.
While the quality of links on the frontpage of HN hasn't changed
much, the quality of the median comment may have decreased somewhat.There are two main kinds of badness in comments: meanness and
stupidity. There is a lot of overlap between the two—mean
comments are disproportionately likely also to be dumb—but
the strategies for dealing with them are different. Meanness is
easier to control. You can have rules saying one shouldn't be mean,
and if you enforce them it seems possible to keep a lid on meanness.Keeping a lid on stupidity is harder, perhaps because stupidity is
not so easily distinguishable. Mean people are more likely to know
they're being mean than stupid people are to know they're being
stupid.The most dangerous form of stupid comment is not the long but
mistaken argument, but the dumb joke. Long but mistaken arguments
are actually quite rare. There is a strong correlation between
comment quality and length; if you wanted to compare the quality
of comments on community sites, average length would be a good
predictor. Probably the cause is human nature rather than anything
specific to comment threads. Probably it's simply that stupidity
more often takes the form of having few ideas than wrong ones.Whatever the cause, stupid comments tend to be short. And since
it's hard to write a short comment that's distinguished for the
amount of information it conveys, people try to distinguish them
instead by being funny. The most tempting format for stupid comments
is the supposedly witty put-down, probably because put-downs are
the easiest form of humor.
[5]
So one advantage of forbidding
meanness is that it also cuts down on these.Bad comments are like kudzu: they take over rapidly. Comments have
much more effect on new comments than submissions have on new
submissions. If someone submits a lame article, the other submissions
don't all become lame. But if someone posts a stupid comment on a
thread, that sets the tone for the region around it. People reply
to dumb jokes with dumb jokes.Maybe the solution is to add a delay before people can respond to
a comment, and make the length of the delay inversely proportional
to some prediction of its quality. Then dumb threads would grow
slower.
[6]
PeopleI notice most of the techniques I've described are conservative:
they're aimed at preserving the character of the site rather than
enhancing it. I don't think that's a bias of mine. It's due to
the shape of the problem. Hacker News had the good fortune to start
out good, so in this case it's literally a matter of preservation.
But I think this principle would also apply to sites with different
origins.The good things in a community site come from people more than
technology; it's mainly in the prevention of bad things that
technology comes into play. Technology certainly can enhance
discussion. Nested comments do, for example. But I'd rather use
a site with primitive features and smart, nice users than a more
advanced one whose users were idiots or trolls.So the most important thing a community site can do is attract the
kind of people it wants. A site trying to be as big as possible
wants to attract everyone. But a site aiming at a particular subset
of users has to attract just those—and just as importantly,
repel everyone else. I've made a conscious effort to do this on
HN. The graphic design is as plain as possible, and the site rules
discourage dramatic link titles. The goal is that the only thing
to interest someone arriving at HN for the first time should be the
ideas expressed there.The downside of tuning a site to attract certain people is that,
to those people, it can be too attractive. I'm all too aware how
addictive Hacker News can be. For me, as for many users, it's a
kind of virtual town square. When I want to take a break from
working, I walk into the square, just as I might into Harvard Square
or University Ave in the physical world.
[7]
But an online square is
more dangerous than a physical one. If I spent half the day loitering
on University Ave, I'd notice. I have to walk a mile to get there,
and sitting in a cafe feels different from working. But visiting
an online forum takes just a click, and feels superficially very
much like working. You may be wasting your time, but you're not
idle. Someone is wrong on the Internet, and you're fixing the
problem.Hacker News is definitely useful. I've learned a lot from things
I've read on HN. I've written several essays that began as comments
there. So I wouldn't want the site to go away. But I would like
to be sure it's not a net drag on productivity. What a disaster
that would be, to attract thousands of smart people to a site that
caused them to waste lots of time. I wish I could be 100% sure
that's not a description of HN.I feel like the addictiveness of games and social applications is
still a mostly unsolved problem. The situation now is like it was
with crack in the 1980s: we've invented terribly addictive new
things, and we haven't yet evolved ways to protect ourselves from
them. We will eventually, and that's one of the problems I hope
to focus on next.
Notes[1]
I tried ranking users by both average and median comment
score, and average (with the high score thrown out) seemed the more
accurate predictor of high quality. Median may be the more accurate
predictor of low quality though.[2]
Another thing I learned from this experiment is that if you're
going to distinguish between people, you better be sure you do it
right. This is one problem where rapid prototyping doesn't work.Indeed, that's the intellectually honest argument for not discriminating
between various types of people. The reason not to do it is not
that everyone's the same, but that it's bad to do wrong and hard
to do right.[3]
When I catch egregiously linkjacked posts I replace the url
with that of whatever they copied. Sites that habitually linkjack
get banned.[4]
Digg is notorious for its lack of transparency. The root of
the problem is not that the guys running Digg are especially sneaky,
but that they use the wrong algorithm for generating their frontpage.
Instead of bubbling up from the bottom as they get more votes, as
on Reddit, stories start at the top and get pushed down by new
arrivals.The reason for the difference is that Digg is derived from Slashdot,
while Reddit is derived from Delicious/popular. Digg is Slashdot
with voting instead of editors, and Reddit is Delicious/popular
with voting instead of bookmarking. (You can still see fossils of
their origins in their graphic design.)Digg's algorithm is very vulnerable to gaming, because any story
that makes it onto the frontpage is the new top story. Which in
turn forces Digg to respond with extreme countermeasures. A lot
of startups have some kind of secret about the subterfuges they had
to resort to in the early days, and I suspect Digg's is the extent
to which the top stories were de facto chosen by human editors.[5]
The dialog on Beavis and Butthead was composed largely of
these, and when I read comments on really bad sites I can hear them
in their voices.[6]
I suspect most of the techniques for discouraging stupid
comments have yet to be discovered. Xkcd implemented a particularly
clever one in its IRC channel: don't allow the same thing twice.
Once someone has said "fail," no one can ever say it again. This
would penalize short comments especially, because they have less
room to avoid collisions in.Another promising idea is the stupid
filter, which is just like a
probabilistic spam filter, but trained on corpora of stupid and
non-stupid comments instead.You may not have to kill bad comments to solve the problem. Comments
at the bottom of a long thread are rarely seen, so it may be enough
to incorporate a prediction of quality in the comment sorting
algorithm.[7]
What makes most suburbs so demoralizing is that there's no
center to walk to.
Thanks to Justin Kan, Jessica Livingston, Robert Morris,
Alexis Ohanian, Emmet Shear, and Fred Wilson for reading drafts of
this.
Comment on this essay. | 2024-11-07T23:52:41 | null | train |
42,019,257 | layer8 | 2024-11-01T17:16:28 | Intel Panther Lake to launch in H2 2025, no Memory on Package in future products | null | https://videocardz.com/newz/intel-panther-lake-to-launch-in-second-half-of-2025-no-more-memory-on-package-in-future-products | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,282 | tosh | 2024-11-01T17:18:37 | GPL Clarification | null | https://ma.tt/2024/11/gpl-clarification/ | 3 | 1 | [
42020381,
42019432
] | null | null | no_error | GPL Clarification | 2024-11-01T17:00:10Z | Matt |
A quick followup on my prior conversation with Theo.
During that chat, I talked briefly about a trademark infringer that was also distributing nulled plugins. I said “Not illegal. Legal under the GPL. But they weren’t changing the names. They were selling their customers Pro Plugins with the licensing stuff nulled out.”
I want to be clear that my reference to legality and GPL was solely focused on the copying and modifying of the code. That is one of the key freedoms of open source and GPL: the right to copy and modify GPL code.
I was not speaking about their right to charge money for nulled plugins. GPLv2 prohibits that because they aren’t providing physical copies or support. This is very different from reputable web hosts, who provide hosting and support for websites and e-commerce stores.
Post navigation
| 2024-11-07T22:35:54 | en | train |
42,019,318 | samlambert | 2024-11-01T17:22:55 | The Shell Hater's Handbook (2010) | null | https://shellhaters.org/talk | 126 | 51 | [
42020368,
42021080,
42019656,
42020709,
42020095,
42026248,
42032491,
42021308,
42021268,
42022080
] | null | null | null | null | null | null | null | null | null | train |
42,019,323 | m70savage | 2024-11-01T17:23:29 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,019,336 | hemanth05 | 2024-11-01T17:24:26 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,019,339 | zenith035 | 2024-11-01T17:24:38 | macOS Sequoia 15.1 makes the camera grainy for M1 MacBooks | null | https://forums.macrumors.com/threads/macbook-m1-camera-grainy-after-upgrade-to-macos-15-1.2441230/ | 4 | 0 | [
42019422
] | null | null | null | null | null | null | null | null | null | train |
42,019,344 | zerointensity | 2024-11-01T17:24:59 | Show HN: PyAwaitable – Asynchronous code from Python's C API | Python's C API doesn't have any (easy) way to call asynchronous functions right now, so after a lot of discussion with core developers, I've come up with a library to do just that! Any feedback is appreciated. | https://github.com/ZeroIntensity/pyawaitable | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,346 | PaulHoule | 2024-11-01T17:25:10 | $400 genetic test could save your life | null | https://www.freethink.com/biotech/genome-sequencing-nucleus | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,357 | doener | 2024-11-01T17:26:08 | Connecting Britain to a smarter energy network | null | https://www.smartdcc.co.uk/about-dcc/ | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,373 | arromatic | 2024-11-01T17:27:27 | Google searches bad. What to do? | null | https://publication.osintambition.org/google-search-bad-what-to-do-fc1061d3a1ce | 2 | 3 | [
42019479,
42019404
] | null | null | null | null | null | null | null | null | null | train |
42,019,382 | surprisetalk | 2024-11-01T17:28:03 | Now lie in it: an uxntal retrospective | null | https://wiki.xxiivv.com/site/now_lie_in_it.html | 53 | 12 | [
42067502,
42061490
] | null | null | null | null | null | null | null | null | null | train |
42,019,397 | punduk | 2024-11-01T17:29:09 | Show HN: Image Color Picker | null | https://normaltool.com/viewers/image-color-picker | 3 | 0 | [
42019448
] | null | null | null | null | null | null | null | null | null | train |
42,019,398 | rntn | 2024-11-01T17:29:12 | Diabetes risk soars for adults who had a sweet tooth as kids | null | https://www.nature.com/articles/d41586-024-03535-7 | 45 | 64 | [
42019831,
42019678,
42019540,
42019904,
42020360,
42020378,
42019973,
42020258,
42019654,
42020043,
42020200,
42019539
] | null | null | null | null | null | null | null | null | null | train |
42,019,405 | hn_acker | 2024-11-01T17:30:32 | ChatGPT Dreams Up Fake Studies, Alaska Cites Them to Support School Phone Ban | null | https://www.techdirt.com/2024/10/31/chatgpt-dreams-up-fake-studies-alaska-cites-them-to-support-school-phone-ban/ | 4 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,406 | mji | 2024-11-01T17:30:34 | Regatta Storage: Transform S3 into an infinite, local file system | null | https://www.ycombinator.com/launches/M8T-regatta-storage-transform-s3-into-an-infinite-local-file-system | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,447 | null | 2024-11-01T17:33:56 | null | null | null | null | null | null | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,019,455 | glenstein | 2024-11-01T17:34:37 | Can computers think? No. They can't actually do anything | null | https://aeon.co/essays/can-computers-think-no-they-cant-actually-do-anything | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,458 | tosh | 2024-11-01T17:34:58 | Peak-efficiency block move and fill operations | null | https://twitter.com/ID_AA_Carmack/status/1852403026201391352 | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,461 | valianter | 2024-11-01T17:35:37 | Is Perplexity Dead? | OpenAI has finally released their long-anticipated search feature. I'm curious to hear about people’s experiences with it and whether it offers any significant advantages over what Perplexity provides for free. | null | 4 | 1 | [
42019544,
42019628
] | null | null | null | null | null | null | null | null | null | train |
42,019,488 | bookofjoe | 2024-11-01T17:38:24 | 300 people applied to rent $700/month sleeping pods in downtown San Francisco | null | https://www.theguardian.com/society/2024/oct/31/san-francisco-sleeping-pods-affordable-housing-crisis | 81 | 149 | [
42019792,
42020060,
42019588,
42019626,
42019990,
42019660,
42019989,
42019666,
42020042,
42019670,
42019691,
42020508,
42019645,
42019732,
42019700,
42019801,
42020099,
42039146,
42019746,
42021462,
42020119,
42019723,
42021031,
42019756,
42019809,
42030929,
42020039
] | null | null | null | null | null | null | null | null | null | train |
42,019,504 | duxup | 2024-11-01T17:39:46 | Humane AI Pin charger recalled over overheating, fire concerns | null | https://arstechnica.com/gadgets/2024/11/charger-recall-spells-more-bad-news-for-humanes-maligned-ai-pin/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,518 | OmarShehata | 2024-11-01T17:41:17 | Anatomy of an Internet argument 3: start by establishing trust | null | https://defenderofthebasic.substack.com/p/its-rude-to-ask-for-cognitive-labor | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,526 | MattGrommes | 2024-11-01T17:41:59 | A regex that finds prime numbers | null | https://www.youtube.com/watch?v=5vbk0TwkokM | 1 | 0 | null | null | null | no_article | null | null | null | null | 2024-11-08T04:34:43 | null | train |
42,019,534 | Guardianmag | 2024-11-01T17:42:28 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,019,550 | null | 2024-11-01T17:44:03 | null | null | null | null | null | null | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,019,553 | kasiama1 | 2024-11-01T17:44:09 | null | null | null | 1 | null | [
42019554
] | null | true | null | null | null | null | null | null | null | train |
42,019,568 | ericholscher | 2024-11-01T17:45:55 | Pete Buttigieg Wants to Make America Not Suck Again? [video] | null | https://www.youtube.com/watch?v=qFBWIBayvLY | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,581 | lukechu10 | 2024-11-01T17:46:58 | Sycamore v0.9.0 | null | https://sycamore.dev/post/announcing-v0-9-0 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,019,586 | thunderbong | 2024-11-01T17:47:37 | Notepad++ is 21 years old | null | https://learnhub.top/celebrating-21-years-of-notepad-the-legendary-journey-of-our-favorite-text-editor/ | 543 | 244 | [
42020435,
42019914,
42020585,
42019776,
42020442,
42019687,
42020399,
42020075,
42065349,
42023936,
42020526,
42019819,
42020736,
42020800,
42021164,
42025331,
42020128,
42020181,
42019862,
42020057,
42020329,
42022403,
42024635,
42019812,
42021417,
42020421,
42020667,
42027614,
42021032,
42020469,
42019698,
42020351,
42023934,
42028000,
42020242,
42020458,
42020539,
42020233,
42023963,
42024987,
42020490,
42023146,
42029123,
42024129,
42022613,
42020595,
42023034,
42021813,
42020000,
42020035,
42021678,
42020592,
42023284,
42023228,
42021812,
42021890,
42022687,
42019863,
42020973,
42025538,
42020001,
42021926
] | null | null | null | null | null | null | null | null | null | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.