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42,053,321 | null | 2024-11-05T17:09:18 | null | null | null | null | null | null | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,053,328 | achristmascarl | 2024-11-05T17:09:54 | JavaScript's ? ?= Operator: Default Values Made Simple | null | https://www.trevorlasn.com/blog/javascript-nullish-coalescing-assignment-operator | 1 | 1 | [
42053342,
42053343
] | null | null | null | null | null | null | null | null | null | train |
42,053,356 | webscraping99 | 2024-11-05T17:12:29 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,357 | tosh | 2024-11-05T17:12:32 | Apple Reportedly Working on 90Hz Studio Display, iMac, iPad Air | null | https://www.macrumors.com/2024/11/05/apple-working-on-90hz-studio-display-imac-ipad-air/ | 3 | 5 | [
42053371,
42053364
] | null | null | null | null | null | null | null | null | null | train |
42,053,385 | ExMachina73 | 2024-11-05T17:17:12 | Amazon starts drone deliveries in Arizona | null | https://www.theverge.com/2024/11/5/24288735/amazon-arizona-tolleson-phoenix-drone-prime-air-launch | 3 | 1 | [
42053704
] | null | null | null | null | null | null | null | null | null | train |
42,053,393 | vntok | 2024-11-05T17:17:54 | The Roottrees Are Dead | null | https://jjohnstongames.itch.io/the-roottrees-are-dead | 1 | 0 | [
42053466
] | null | null | null | null | null | null | null | null | null | train |
42,053,398 | saintfiends | 2024-11-05T17:18:49 | Request-Reply in Postgres | null | https://blog.sequinstream.com/request-reply-in-postgres/ | 3 | 2 | [
42055360,
42053452
] | null | null | null | null | null | null | null | null | null | train |
42,053,402 | todsacerdoti | 2024-11-05T17:19:00 | Canadian Man Arrested in Snowflake Data Extortions | null | https://krebsonsecurity.com/2024/11/canadian-man-arrested-in-snowflake-data-extortions/ | 7 | 1 | [
42055634,
42053461
] | null | null | null | null | null | null | null | null | null | train |
42,053,408 | leephillips | 2024-11-05T17:20:01 | Noether's Theorem and Arthur Eddington | null | https://lee-phillips.org/NTandEddington/ | 2 | 1 | [
42054335
] | null | null | null | null | null | null | null | null | null | train |
42,053,431 | linecept | 2024-11-05T17:23:04 | GSAP Acquired by Webflow | null | https://r.sib.greensock.com/mk/mr/sh/1t6AVsd2XFnIGIVaZOKUxeKQgW3LVq/gdxKTPnPky2s | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,439 | kpaoneios | 2024-11-05T17:23:34 | Packomania: Optimal circle packing leaderboard, to n=10000 | null | http://www.packomania.com/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,453 | ssc23 | 2024-11-05T17:25:07 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,457 | smnrg | 2024-11-05T17:25:23 | The Tapestry of Influence: The Inspirations That Shape Us | null | https://simone.org/influence-inspiration/ | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,493 | anon012012 | 2024-11-05T17:30:55 | Show HN: Capd – idea to visually analyze active PowerShell with OpenAI Vision | I'm not sure you'll find that useful but the point is to debug last-displayed error messages no matter where they come from, and without scanning textually (not even sure it can be done textually). Don't forget to insert your API key in the py file.<p>Here's what GPT says about the idea:<p>"Using OpenAI's vision capabilities to scan a PowerShell window and generate prompts for troubleshooting error messages is an innovative idea and could be helpful for diagnosing issues, especially if you have frequent and complex PowerShell scripts. This could allow for quick, contextual recommendations based on the exact error text or code provided."<p>Sounds good to me<p>See you around | https://github.com/Lywald/CommandCapd | 1 | 0 | null | null | null | no_error | GitHub - Lywald/CommandCapd: Visually interpret the active PowerShell/CMD window with OpenAI GPT | null | Lywald | CommandCapd
Visually interpret the active PowerShell/CMD window with OpenAI GPT
This is NOT a chat app. fF it's not in the window, then AI isn't aware.
The point is to process only what is in the current scrolled state, like the last error message off your debugging.
Another good app would process the whole Powershell vertically, but I'm not interested in doing that for now. I don't want it to be so invasive.
HOW TO CREATE A SYSTEM COMMAND IN WINDOWS
This is how I create "capd" command instead of typing "python capd.py" each time:
https://www.yopa.page/blog/2024-09-14-transform-python-scripts-into-global-command-line-tools.html
(I already created the .bat file for you to download. You just need to add the folder to PATH.)
Also run this command to install the needed packages:
pip install -r .\requirements.txt
API Key
Don't forget to add your own API Key in the python file, or it won't run.
You get one here:
https://platform.openai.com/settings/organization/api-keys
| 2024-11-07T17:50:53 | en | train |
42,053,502 | ejboustany | 2024-11-05T17:32:17 | null | null | null | 1 | null | [
42053503
] | null | true | null | null | null | null | null | null | null | train |
42,053,518 | lehi | 2024-11-05T17:34:03 | You probably can't watch the political documentary of the year | null | https://www.avclub.com/no-other-land-years-most-vital-political-documentary-palestine-distribution | 4 | 0 | [
42053524
] | null | null | null | null | null | null | null | null | null | train |
42,053,523 | croes | 2024-11-05T17:34:27 | You can now upgrade to ChatGPT Plus from the settings app on iOS 18.2 beta 2 | null | https://twitter.com/aaronp613/status/1853507298624143366 | 1 | 0 | [
42053526
] | null | null | no_article | null | null | null | null | 2024-11-08T09:40:15 | null | train |
42,053,533 | hn_acker | 2024-11-05T17:35:12 | The Nearly 400 Books Wilson County Has Banned from Its Schools | null | https://nashvillebanner.com/2024/10/25/wilson-county-bans-390-books/ | 2 | 3 | [
42053703,
42055742,
42053546
] | null | null | null | null | null | null | null | null | null | train |
42,053,536 | sandwichsphinx | 2024-11-05T17:35:33 | How Can You Stop Batteries from Catching Fire? Perhaps by Adding Some Water | null | https://www.wsj.com/business/energy-oil/battery-fire-prevention-investment-9d13fb56 | 1 | 1 | [
42053539,
42053548
] | null | null | null | null | null | null | null | null | null | train |
42,053,540 | rntn | 2024-11-05T17:35:56 | Average age of first-time homebuyers is 38, an all-time high | null | https://www.cnbc.com/2024/11/05/the-average-age-of-first-time-us-homebuyers-is-38-an-all-time-high.html | 1 | 4 | [
42053637,
42053543
] | null | null | null | null | null | null | null | null | null | train |
42,053,566 | henriy | 2024-11-05T17:39:12 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,569 | mmphosis | 2024-11-05T17:39:31 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,573 | null | 2024-11-05T17:40:14 | null | null | null | null | null | [
42053579
] | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,053,576 | ayanai | 2024-11-05T17:40:38 | Two big developments in manufactured housing reform: New rules, new bill | null | https://www.niskanencenter.org/two-big-developments-in-manufactured-housing-reform-new-rules-new-bill/ | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,578 | Jimmc414 | 2024-11-05T17:40:51 | Study reveals links between many pesticides and prostate cancer | null | https://medicalxpress.com/news/2024-11-reveals-links-pesticides-prostate-cancer.html | 4 | 0 | [
42053586
] | null | null | null | null | null | null | null | null | null | train |
42,053,582 | hobology | 2024-11-05T17:41:37 | Ask HN: I Built This Clipboad Manager App - Should I launch it? | null | https://www.fastwaitlist.com/clipboard-works | 1 | 0 | [
42053589
] | null | null | null | null | null | null | null | null | null | train |
42,053,599 | hackerjavi | 2024-11-05T17:43:49 | null | null | null | 1 | null | [
42053614,
42053603
] | null | true | null | null | null | null | null | null | null | train |
42,053,606 | fxcenturymaddi | 2024-11-05T17:44:58 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,630 | adamontherun | 2024-11-05T17:47:48 | A FastAPI Reference Architecture | null | https://betaacid.co/blog/introducing-our-clean-and-modular-fastapi-reference-architecture | 6 | 1 | [
42053666
] | null | null | null | null | null | null | null | null | null | train |
42,053,640 | rbanffy | 2024-11-05T17:49:47 | China's long-term lunar plans now depend on developing its own Starship | null | https://arstechnica.com/space/2024/11/chinas-long-term-lunar-plans-now-depend-on-developing-its-own-starship/ | 5 | 1 | [
42053718
] | 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'. | China’s long-term lunar plans now depend on developing its own Starship | 2024-11-04T16:28:35+00:00 | Eric Berger |
When Chinese space officials unveiled the design for the country's first super heavy lift rocket nearly a decade ago, it looked like a fairly conventional booster. The rocket was fully expendable, with three stages and solid motors strapped onto its sides.
Since then, the Asian country has been revising the design of this rocket, named Long March 9, in response to the development of reusable rockets by SpaceX. As of two years ago, China had recalibrated the design to have a reusable first stage.
Now, based on information released at a major airshow in Zhuhai, China, the design has morphed again. And this time, the plan for the Long March 9 rocket looks almost exactly like a clone of SpaceX's Starship rocket.
This looks familiar
Based on its latest specifications, the Long March 9 rocket will have a fully reusable first stage powered by 30 YF-215 engines, which are full-flow staged combustion engines fueled by methane and liquid oxygen, each with a thrust of approximately 200 tons. By way of comparison, Starship's first stage is powered by 33 Raptor engines, also fueled with methane and liquid oxygen, each with a thrust of about 280 tons.
The new specifications also include a fully reusable configuration of the rocket, with an upper stage that looks eerily similar to Starship's second stage, complete with flaps in a similar location. According to a presentation at the airshow, China intends to fly this vehicle for the first time in 2033, nearly a decade from now.
A translated slide from a presentation on China's latest plans for the Long March 9.
Credit:
Weibo
In related news, last week, a quasi-private Chinese space startup, Cosmoleap, announced plans to develop a fully reusable "Leap" rocket within the next few years. An animated video that accompanied the funding announcement indicated that the company seeks to emulate the tower catch-with-chopsticks methodology that SpaceX successfully employed during Starship's fifth flight test last month.
Let's be real for a minute. These are not the first times Chinese rocket programs have emulated SpaceX, such as when Space Pioneer planned to develop a Falcon 9 clone. Both the state-run rocket agency and the company's private industries are copying the best practices of SpaceX as they seek to catch up. At this point, China's launch industry is basically hanging out in the SpaceX waiting room to see which ideas it should swipe next.
| 2024-11-08T04:40:50 | null | train |
42,053,646 | nivethan | 2024-11-05T17:50:29 | Hallucinatory 'voices' shaped by local culture (2014) | null | https://news.stanford.edu/stories/2014/07/voices-culture-luhrmann-071614 | 5 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,647 | dtquad | 2024-11-05T17:50:35 | Georgia Officials Report Russian-Origin Bomb Threat Hoaxes at Polling Spots | null | https://www.newsweek.com/georgia-officials-report-russian-origin-bomb-threat-hoaxes-polling-spots-1980640 | 4 | 0 | [
42053764
] | null | null | null | null | null | null | null | null | null | train |
42,053,650 | aard | 2024-11-05T17:51:11 | How Agile Are You Really? | null | https://rethinkingsoftware.substack.com/p/how-agile-are-you-really | 1 | 0 | null | null | null | no_error | How Agile Are You Really? | 2024-10-11T00:21:52+00:00 | Adam Ard | Agile is everywhere, especially in the world of software development. Unfortunately, the term ‘agile’ has become so overused that it risks losing all meaning. In an industry where everyone claims to be agile, how can we evaluate the quality of specific processes? What criteria can we use to measure agility?The best place to start is with the founding documents: the Agile Manifesto and the Principles Behind the Agile Manifesto. These form the core of true agility and should guide any assessment. However, organizations have interpreted these documents in many conflicting ways. So, I thought some additional criteria could be useful.Below are three overriding core practices of agile. If your organization doesn’t engage in these behaviors, then it is likely NOT agile. You can rate an organization’s agility by assigning a score from 1 to 5 for each practice. I have included both explanations and examples to help you determine the right score. One more thing before you get started: it’s important that individual contributors, not management, do the evaluating. Since management is responsible for choosing and enforcing company processes, they’re likely to be biased in their favor. To get a more accurate rating, feedback should come from those at the ground level.Give it a try and see how your company is doing.Agile should wrest control from the corporate hierarchy. It should push decision-making outward and downward to the software developers. We’ve entered an era of knowledge work where managers are often the least qualified to make technical decisions, simply because they’re furthest from day-to-day operations. When a group of developers met in Snowbird, Utah, in 2001 and agreed on values like “Individuals and interactions over processes and tools” and “Responding to change over following a plan,” they were championing distributed decision-making. Yet, today, managers are still enforcing processes, tools, and plans. Software is far too complex for anyone but individual contributor level developers to be making technical decisions. Agile was designed to put an end to the chain-of-command bottleneck.Is management still valuable? Absolutely. But its role must shift—from directive to supportive. Better yet, management duties can be distributed among team members, allowing managers to return to individual contributor roles. The fact that agile seems to be universally adopted might actually be a bad sign—power doesn’t give up that easily. Clearly, organizations are co-opting agile while leaving too much power in the hierarchy, and then cheerfully declaring their compliance to agile principles.Some forward-thinking companies, however, are embracing this shift. At Google, for instance, it’s not uncommon for managers to have 30 direct reports, making micromanagement impossible. With that many reports, managers simply don’t have the time or energy to interfere with distributed decision-making.Another example is Morning Star, which has taken a more radical approach by eliminating managers altogether. Responsibilities like hiring, purchasing, setting salaries, strategy, and even firing are distributed among all workers. This and other manager-less experiments deserve the attention of the agile community. They’re showing us how to live up to the very principles agile was built on.Here are some concrete process examples along with their ratings:Level 5Engineers choose and modify their own processes on a team-by-team basis.Engineers decide what to work on and who they work with.Engineers select their computer’s OS and have admin rights to their machines.There are no titles. Each engineer has full authority over their own responsibilities. There is a notable absence of non-coding review and design teams/committees/roles.There is a notable lack of company wide standardization. Even though teams tend to naturally converge on a handful of useful practices, they are allowed to experiment in many areas (i.e. languages, operating systems, deployment strategies, continuous integration strategies, code review requirements, libraries).Level 3A standardized process is mandated for all engineers, but they can modify certain aspects of how they practice it.Engineers can provide input on what they work on and with whom, but management makes the final decision.Engineers are assigned an OS but have admin permissions.Titles are used for decision-making authority, though management takes engineering opinions into consideration. There are a minimal number of non-coding review and design teams/committees/roles.Many aspects of engineering are standardized across the whole organization (i.e. languages, operating systems, deployment strategies, continuous integration strategies, code review requirements, libraries).Level 1A standardized process is mandated for all engineers, and they have no power to change it.Engineers are assigned work items and teams.Engineers must use a specific OS and do not have admin rights.Titles are heavily used to determine who makes technical decisions. Advancement mostly involves moving into non-coding review and design teams/committees/roles.Most aspects of engineering work are standardized (i.e. languages, operating systems, deployment strategies, continuous integration strategies, code review requirements, libraries).You’ve probably heard the saying: “the business decides what to build, and engineers decide how to build it.” But this is the opposite of how it should be. Agile pulls developers closer to customers and much deeper into the business side of things.The practice of assigning a customer representative to engineering teams (often called a Product Owner) is problematic. Most product owners act as a barrier between developers and customers rather than as facilitators. This eliminates a direct line of communication, leading to less effective outcomes.Collaborating directly with customers can be uncomfortable for some developers, but this needs to change. Developers shouldn’t passively allow the product organization to take on this responsibility. In an agile organization, customer collaboration is central to a developer’s role.Valve’s employee manual offers a prime example of a structure that embraces customer collaboration:…when you’re an entertainment company that’s spent the last decade going out of its way to recruit the most intelligent, innovative, talented people on Earth, telling them to sit at a desk and do what they’re told obliterates 99 percent of their value. We want innovators, and that means maintaining an environment where they’ll flourish.… This company is yours to steer — toward opportunities and away from risks. You have the power to green-light projects. You have the power to ship products.A flat structure removes every organizational barrier between your work and the customer enjoying that work. Every company will tell you that “the customer is boss,” but here that statement has weight. There’s no red tape stopping you from figuring out for yourself what our customers want, and then giving it to them.Here are some concrete process examples along with their ratings:Level 5Engineers meet regularly with customers, asking questions and observing how they interact with the product. Engineers use these insights to direct their work.Engineers gain additional insights from Product Management, but they make the final product decisions themselves.Level 3Engineers are occasionally involved in customer meetings. Engineers contribute some product direction but primarily work from a backlog defined by Product Management.Level 1Engineers never meet with customers. Engineers take direction solely from customer proxies, like Scrum Product Owners.To respond quickly to change, you can’t afford to spend too much time on the wrong path. The agile way to avoid this pitfall is to present intermediate results to customers early and often, adjusting your direction accordingly.Several of the Principles behind the Agile Manifesto support this approach:Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.Welcome changing requirements, even late in development. Agile processes harness change for the customer’s competitive advantage.Deliver working software frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale.Working software is the primary measure of progress.Simplicity — the art of maximizing the amount of work not done — is essential.Developers should meet with customers regularly to present their progress. However, the practice of sprints or iterations distorts this principle. The distinction is subtle but crucial.Sprints or iterations—which are used in almost every agile implementation I’ve encountered—miss the point in practice. Software should be released frequently to evaluate progress, not to impose artificial deadlines or apply scientific management techniques to optimize developer output.To “deliver software frequently” simply means demonstrating progress every “couple of weeks to a couple of months.” It doesn’t imply a fixed delivery cadence or target scope, as sprints do. Sprints are an attempt to reintroduce the unhealthy planning and estimation practices that the agile movement originally condemned. The many ceremonies tied to sprints—such as burn-down/up charts, cycle time calculations, story points, estimations, and velocity—are agile anti-patterns.The most compelling example of releasing early and often comes from the Open Source software movement, one of the most impressive distributed volunteer enterprises in history. Thousands of developers release software improvements daily, gather feedback, and even solicit help from users—this is the epitome of customer collaboration. The sheer volume and quality of free, open-source software in use today is remarkable.Here are some concrete process examples along with their ratings:Level 5Engineers demo their work frequently.Engineers decide when to demo based on the progress of their work. There is no artificially imposed release cadence. Engineers might demo every day for a week, then take a week before the next demo.Engineers determine how much polish is necessary for a demo. Some demos may be “rough sketches” or prototypes to gather feedback before investing too much time in implementation, while others are finished products. Process metrics are used only within the team and are not reported to management.Level 3Engineers demo their work at a regularly scheduled demo meeting aligned with a fixed, repeating sprint duration, which is mandated by management.Demoed software must always be polished and meet a pre-defined “definition of done.”There are a handful of process metrics reported to management about each team.Level 1Engineers demo their work infrequently, at intervals longer than a couple of months.Process metrics are reported to management and used aggressively to drive productivity.I hope it ranked high, and if so, you’re in a fortunate position. But don’t be discouraged if the score was on the lower end. Unfortunately, most companies today fall short in terms of true agility, despite what they might claim. The key is to focus on levels of agility, rather than on whether an organization merely professes to be agile. By doing so, we can push for improvements that will make working conditions better for all of us. | 2024-11-07T15:07:45 | en | train |
42,053,667 | OnlineInference | 2024-11-05T17:53:28 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,677 | rbanffy | 2024-11-05T17:54:44 | Tenstorrent Extends Japan Engagement – By Dr. Ian Cutress | null | https://morethanmoore.substack.com/p/tenstorrent-extends-japan-engagement | 1 | 0 | [
42053799
] | null | null | null | null | null | null | null | null | null | train |
42,053,695 | saintfiends | 2024-11-05T17:56:42 | Psql Tips | null | https://psql-tips.org/psql_tips_all.html | 1 | 0 | [
42053772
] | null | null | null | null | null | null | null | null | null | train |
42,053,709 | nelsonfigueroa | 2024-11-05T17:58:26 | Don't ask someone to file a ticket | null | https://www.nothingeasyaboutthis.com/dont-ask-someone-to-file-a-ticket/ | 2 | 1 | [
42053803
] | null | null | null | null | null | null | null | null | null | train |
42,053,716 | speckx | 2024-11-05T17:59:06 | Apple News Election Day Live Activity | null | https://www.macsparky.com/blog/2024/11/election-day-live-activity/ | 1 | 0 | [
42053775
] | null | null | null | null | null | null | null | null | null | train |
42,053,723 | Bondi_Blue | 2024-11-05T17:59:42 | Germany's far right stirs up culture war over Bauhaus legacy | null | https://www.reuters.com/world/europe/germanys-far-right-stirs-up-culture-war-over-bauhaus-legacy-2024-10-27/ | 9 | 1 | [
42053730,
42053769,
42053743
] | null | null | http_other_error | reuters.com | null | null | Please enable JS and disable any ad blocker | 2024-11-08T17:32:11 | null | train |
42,053,732 | che_shr_cat | 2024-11-05T18:01:02 | Deep Learning Frameworks: The Fourth Pillar of Deep Learning Revolution | null | https://gonzoml.substack.com/p/deep-learning-frameworks | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,736 | saintfiends | 2024-11-05T18:01:17 | Build Your Own Database from Scratch in Go | null | https://build-your-own.org/database/ | 7 | 0 | [
42053784
] | null | null | no_error | Build Your Own Database From Scratch in Go | Build
Your Own Database From Scratch in Go | null | James Smith |
Introduction
Understand databases from the bottom up by building your own, in
small steps, and with simple Golang code.
Start with a B+tree, the data structure for
querying and manipulating the data.
Make it durable, that’s what makes a DB different
from a file.
Relational DB with concurrent transactions on top
of the copy-on-write B+tree KV.
A SQL-like query language, the finishing
touch.
Contents
Part I: Simple KV Store
(Self-contained, free-to-read web version.)
Introduction
From Files To Databases
Indexing Data Structures
B-Tree & Crash Recovery
B+Tree Node and Insertion
B+Tree Deletion and Testing
Append-Only KV Store
Free List: Recyle & Reuse
Part II: Mini Relational DB
(Included in the ebook and paperback
editions.)
Tables on KV
Range Queries
Secondary Indexes
Atomic Transactions
Concurrency Control
SQL Parser
Query Language
PDF/EPUB and Paperback
Editions
The full book is available for purchase.
Recommended Reading
I have curated a list of books that will further your
understanding.
Database Internals by
Alex Petrov. [Amazon] [Web] Many database books are
either very academic, or talk about topics from a high level, few books
go down to the practical side and examine databases in
detail. Alex’s brilliant book not only explores the details and
different approaches to storage engines, but is also a great
introduction to distributed systems.
Designing Data-Intensive
Applications by Martin Kleppmann. [Amazon] [Web] This classic book is
not just about databases, but covers a much broader range of topics,
especially about distributed systems. It explains topics using
real-world systems and is universally recommended for software
developers.
The Go Programming
Language by Brian W. Kernighan. [Amazon] [Web] While you can follow this
project and code your own DB in any language you like. Golang is still a
solid choice. Coding something from scratch often involves some
low-level stuff and interacting with the OS, which is traditionally done
in C/C++. Golang is incredible because of its balance between system and
application programming. You can pick up Golang quickly with this book
by Brian W. Kernighan, the same “K” who wrote the classic
“K&R”.
| 2024-11-08T01:45:27 | en | train |
42,053,744 | rbanffy | 2024-11-05T18:01:57 | After 31 cargo missions, NASA finds Dragon still has some new tricks | null | https://arstechnica.com/space/2024/11/for-the-first-time-a-dragon-spacecraft-will-be-used-to-move-the-space-station/ | 4 | 0 | [
42053765
] | null | null | null | null | null | null | null | null | null | train |
42,053,747 | willothy | 2024-11-05T18:02:18 | Show HN: Whirlwind – Async concurrent hashmap for Rust | Hey HN, this is Will and David from Fortress (<a href="https://news.ycombinator.com/item?id=41426998">https://news.ycombinator.com/item?id=41426998</a>).<p>We use a lot of async Rust internally, and created this library out of a need for an async-aware concurrent hashmap since there weren’t many available in the Rust ecosystem.<p>Whirlwind is a sharded HashMap with a fully asynchronous API. Just as dashmap is a replacement for std::sync::RwLock<HashMap>, whirlwind aims to be a replacement for tokio::sync::RwLock<HashMap>. It has a similar design and performance characteristics to dashmap, but seems to perform better in read-heavy workloads with tokio's green threading.<p>Benchmarks are in the readme! We used an asyncified version of dashmap's benchmark suite. The project is in a pretty early stage and I'm sure there are flaws, but I'm pretty happy with the performance.<p>There is some unsafe involved, but we run Miri in ci to (hopefully) catch undefined behavior well before it's in an actual release.<p>We'd appreciate any feedback! Thanks in advance :) | https://github.com/fortress-build/whirlwind | 135 | 54 | [
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] | null | null | null | null | null | null | null | null | null | train |
42,053,760 | rbanffy | 2024-11-05T18:03:15 | MIT unveils ultra-efficient 3D nanoscale transistors | null | https://www.tomshardware.com/tech-industry/mit-unveils-ultra-efficient-3d-nanoscale-transistors-that-could-revolutionize-future-electronics | 3 | 0 | null | null | null | no_error | MIT unveils ultra-efficient 3D nanoscale transistors that could revolutionize future electronics | 2024-11-05T15:52:33+00:00 | Kunal Khullar |
MIT researchers have revealed nanoscale transistors that could potentially reshape the future of efficient electronics. Built using a unique 3D nanowire structure, these transistors surpass traditional silicon-based models by operating on a far smaller scale. As silicon-based transistors face critical limitations in miniaturization, MIT’s design paves the way for faster, cooler, and more compact electronic components.The design utilizes vertical nanowire field-effect transistors (VNFETs), which manage electron flow by orienting the structure vertically rather than the conventional horizontal layout. This approach sidesteps several limitations associated with horizontal transistors, which face physical barriers to further scaling.By taking advantage of the 3D structure, MIT’s VNFETs minimize heat production and power leakage, common challenges in densely packed circuits where silicon transistors typically struggle. The potential for stacking layers of these 3D transistors also allows for greater computing density, supporting the demands of modern high-performance computing and data-driven technologies.According to Yanjie Shao, an MIT postdoc and lead author of a paper on the new transistors, “This is a technology with the potential to replace silicon, so you could use it with all the functions that silicon currently has, but with much better energy efficiency.”One of the main benefits of MIT’s approach lies in the adaptability of these VNFETs, which use alternative semiconductor materials rather than silicon. This choice allows higher conductivity at smaller scales, maintaining efficiency and reducing energy consumption. The switch from silicon addresses issues like quantum tunneling—where electrons unintentionally leak through barriers in silicon transistors at nanoscale sizes—allowing for more reliable, stable operations.These nanoscale transistors come when the semiconductor industry is pushing to overcome the limitations of Moore’s Law. This suggests that the number of transistors in an integrated circuit doubles roughly every two years. With silicon transistors nearing their theoretical limits, new materials and designs like VNFETs represent a promising direction for sustaining technological progress. If successfully commercialized, these transistors could influence various industries, from smartphones and computers to large-scale data centers and artificial intelligence applications requiring high processing power.Currently, the VNFETs remain in the experimental phase, but MIT’s work shows clear potential for reshaping the electronics landscape by enabling smaller, faster, and more energy-efficient devices.Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.
| 2024-11-08T14:00:39 | en | train |
42,053,771 | dmpetrov | 2024-11-05T18:04:36 | Overcoming data inconsistency with a universal semantic layer | null | https://www.infoworld.com/article/3596771/overcoming-data-inconsistency-with-a-universal-semantic-layer.html | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,778 | brie22 | 2024-11-05T18:05:07 | Hacked TP-Link routers used in yearslong account takeover attacks | null | https://arstechnica.com/information-technology/2024/11/microsoft-warns-of-8000-strong-botnet-used-in-password-spraying-attacks/ | 1 | 0 | [
42053792
] | null | null | no_error | Thousands of hacked TP-Link routers used in yearslong account takeover attacks | 2024-11-02T00:13:20+00:00 | Dan Goodin |
Hackers working on behalf of the Chinese government are using a botnet of thousands of routers, cameras, and other Internet-connected devices to perform highly evasive password spray attacks against users of Microsoft’s Azure cloud service, the company warned Thursday.
The malicious network, made up almost entirely of TP-Link routers, was first documented in October 2023 by a researcher who named it Botnet-7777. The geographically dispersed collection of more than 16,000 compromised devices at its peak got its name because it exposes its malicious malware on port 7777.
Account compromise at scale
In July and again in August of this year, security researchers from Sekoia.io and Team Cymru reported the botnet was still operational. All three reports said that Botnet-7777 was being used to skillfully perform password spraying, a form of attack that sends large numbers of login attempts from many different IP addresses. Because each individual device limits the login attempts, the carefully coordinated account-takeover campaign is hard to detect by the targeted service.
On Thursday, Microsoft reported that CovertNetwork-1658—the name Microsoft uses to track the botnet—is being used by multiple Chinese threat actors in an attempt to compromise targeted Azure accounts. The company said the attacks are “highly evasive” because the botnet—now estimated at about 8,000 strong on average—takes pains to conceal the malicious activity.
“Any threat actor using the CovertNetwork-1658 infrastructure could conduct password spraying campaigns at a larger scale and greatly increase the likelihood of successful credential compromise and initial access to multiple organizations in a short amount of time,” Microsoft officials wrote. “This scale, combined with quick operational turnover of compromised credentials between CovertNetwork-1658 and Chinese threat actors, allows for the potential of account compromises across multiple sectors and geographic regions.
Some of the characteristics that make detection difficult are:
The use of compromised SOHO IP addresses.
The use of a rotating set of IP addresses at any given time. The threat actors had thousands of available IP addresses at their disposal. The average uptime for a CovertNetwork-1658 node is approximately 90 days.
The low-volume password spray process; for example, monitoring for multiple failed sign-in attempts from one IP address or to one account will not detect this activity.
| 2024-11-08T09:08:22 | en | train |
42,053,779 | danielovichdk | 2024-11-05T18:05:14 | Refactoring a small type with John Carmack's Email in mind | null | https://danielfrost.dk/refactoring-a-small-type-with-carmacks-email-in-mind.html | 1 | 1 | [
42054045
] | null | null | null | null | null | null | null | null | null | train |
42,053,795 | alexlazar97 | 2024-11-05T18:07:22 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,797 | ff133 | 2024-11-05T18:07:26 | Ask HN: Cybersecurity Maritime Environment | A handful of people connected to the "Maritime World" have reached out to me regarding cybersecurity and their concern of developi certain systems being connected through Internet. I have little to no experience working in the maritime world, and I haven't worked professionally with cybersec other than hardening of operating systems following various benchmarks.<p>I want to learn more about infosec/cybersec in general, and especiall in the maritime.
I therefore humbly ask for your experience, advice or external resources. | null | 1 | 2 | [
42054124
] | null | null | null | null | null | null | null | null | null | train |
42,053,802 | m-hodges | 2024-11-05T18:07:40 | ActBlue Isn't Selling Your Data | null | https://matthodges.com/posts/2024-08-25-actblue-isnt-selling-your-data/ | 11 | 8 | [
42053859,
42053934,
42053814
] | null | null | null | null | null | null | null | null | null | train |
42,053,817 | ohjeez | 2024-11-05T18:09:43 | EDC's Research: Developers in Politics Survey Report | null | https://evansdata.com/politics/US-developers-and-politics.php | 1 | 0 | [
42053854
] | null | null | null | null | null | null | null | null | null | train |
42,053,823 | intrepidsoldier | 2024-11-05T18:10:56 | Measuring the impact of AI coding tools | null | https://sourcegraph.com/blog/measuring-the-impact-of-ai-coding-tools | 1 | 0 | [
42053845
] | null | null | no_error | Measuring the impact of AI coding tools | null | null | Every software engineering team is looking at AI tools for coding. In a Stack Overflow survey, 76% of developers reported they are either using or planning to use AI tools for development. However, with the pace of change in this space, many are already disillusioned with the tools they adopted during the early hype. There is little doubt of AI’s promise to transform software development. But how can engineering teams measure the ROI of these tools in a way that aligns with their priorities? These are just some of the questions we are getting from folks who are considering AI coding tools. So, we want to share a few things we learned from our work with some of the most sophisticated software engineering teams in the world.
Before measuring return on investment (ROI), we must think about what the said investment is supposed to accomplish. If the goal of any software development organization is to efficiently build and operate software that delivers value, then any tooling investment should help achieve this goal. Questions that need to be answered:
Does the tool help increase developer productivity - can your team do the same set of things faster?
Does the tool help increase your impact - can your team deliver incremental customer value by finding more leverage from the same effort?
Software engineering is, by design, an innovative pursuit. While convenient, thinking of developer workflows as factory operations is faulty. Whether software developers are happy using their tools and want to come back to them repeatedly is also an important factor in determining whether a tool has been successful in a given setup. Therefore, the third important question in determining the value of a tool is:
Does the tool help increase developer satisfaction - will your team feel happier with the tool than without it? For most engineering teams, “happiness” is directly related to productivity and impact, but we cannot discount the qualitative, non-measurable aspect of being delighted with a tool.
Any ROI measurement should encompass productivity, impact, and satisfaction.
Traditionally, much of the conversation around developer productivity has been in an area referred to as the outer loop of software development—the set of activities that are more about planning, building, integrating, deploying, monitoring, etc. Traditional productivity measurement methods like DORA (DevOps Research and Assessment) fall short due to this limited scope (focus mainly on deployment & operations efficiency, and not on coding). DORA can also lead to metrics manipulation and doesn’t account for the team makeup (size, skills, tenure) or project complexity.
The inner loop of software development - the part that deals with reading, understanding, and writing code - hasn’t traditionally received a ton of attention from developer productivity experts. This diagram from a developer’s thoughts on developer productivity is too good not to reproduce here:
Despite not having established methods to measure productivity of the inner loop, it is the area of software development that has seen the most transformation from the AI revolution. This is because LLMs are especially good at analyzing and understanding patterns within source code. Not covering the inner loop in measurement is definitely a miss.
Another popular framework, SPACE (Satisfaction and well-being, Performance, Activity, Communication and collaboration, and Efficiency and flow), attempts to take a more “holistic approach” to developer productivity. However, too many of the metrics are qualitative and subjective, making it hard to measure and quantify impact consistently.
Productivity: the measurable kind
Not all engineering teams have the same priorities or level of maturity, especially when it comes to the ability to measure things or the consistency and repeatability of processes. We have seen teams on all sides of the spectrum.
There are organizations where software engineering is not just a function/discipline but a way of life. These organizations follow the ethos of hiring incredibly smart problem solvers as software engineers, and therefore, they will trust them and not burden them with assembly-line-like productivity metrics. Many of these companies happen to be some of the most successful software companies in the history of our planet.
We also see organizations that believe that rigorous instrumentation and measurement are the only way to improve the software development process. Many of these companies are also world leaders in their areas and run amazing operations powered by their custom-built software.
However, from our direct work with many such customers, we have learned that most engineering teams want to be cognizant of the following productivity metrics:
Time saved
Output produced
Any of these metrics, when taken together with other inputs like the size of the team, average developer compensation, etc., can provide reasonable estimates of the corresponding monetary impact. However, this write-up doesn’t go into those details, understanding fully well that all engineering teams are different.
Productivity measure #1: Time saved
The “time saved” metric is the easiest starting point for evaluating the ROI of AI coding assistants but also the most basic because it lacks the context of your business, teams, and workflows. Every AI coding assistant on the market has established their own flavor of time savings metric based on the tool’s usage. It is easy to estimate how much time a developer would have spent simply “typing” the code that was generated by the tool. That essentially is the time saved. You can also look at these savings at a more granular level based on the type of interaction that produced the code and analyze where the savings are coming from:
Accepting auto-complete suggestions
Applying chat responses
Executing pre-built prompts
This time savings can easily be measured for an individual and, when aggregated across a team, can provide team-level savings as well.
This measurement is very basic because it has the potential to both underestimate and overestimate the amount of savings:
Since it uses purely “code typing time” as the alternative to the AI coding assistant, it can massively underestimate the amount of time a developer would have had to spend just gathering context before writing code - reading docs, browsing code, coordinating with colleagues, etc. Many developers report that this “context gathering” is often the more time-consuming part of building software, and once this is done, the actual code writing is not that cumbersome.
The AI coding assistant has no context about a developer’s actual intentions or what business problems they are trying to solve. Its measurements are based on observing the micro-task that the developer actually ended up performing. Whether that task was the one they should have been performing, to begin with, or whether the code produced will create more work is never known.
Regardless, it is a good starting point because it is easy to understand. The team at 1Password found that using Sourcegraph saved every developer 7 hours per month.
Sometimes, if the right thing to do—like writing unit tests—is too hard, people won't do it. Cody's value is that it lets developers be their best selves while relieving the burden of repetitive tasks.
— James Griffin-Allwood, Staff Developer at 1Password
Productivity measure #2: Output produced
The second set of metrics is related to the “output” produced. In this case, the output is code. How many lines of code were inserted into the editor? How much of the inserted code actually persisted? Just like the time savings metrics, even code output produced can be easily measured by user interaction types - autocompletes, chats, prompts, etc.- and is possible to measure both at an individual and team level.
These are useful metrics to think about and go one step further than just time savings. However, even here, there is potential for incorrect conclusions:
Since the measurement here is just lines of code, without any knowledge of the business problem the code was meant to solve, this could mean teams start optimizing for output and not outcomes
Similarly, a very intense session of Chat-Oriented Programming (CHOP) could produce very few lines of optimal code that provide a massive unlock for the business. However, going by this metric, it wouldn’t be seen as a successful output.
Impact: harder to measure but tied to what truly matters
The next set of metrics are those aligned with the intended outcomes of the individual, team, or organization. How does an individual think of impact? What does success look like for them in their current project? Similarly, what is the intended outcome of a team project? By measuring the utility of a tool in the context of a business outcome (individual or team), its true value can be understood. While the actual "business outcome" could be different for different people, we have seen the following examples:
Metrics-based outcomes (within project constraints of quality, schedule, and scope):
# of unit tests created
# of incidents resolved
# of new features implemented, etc
Project outcomes:
Entire projects being delivered quickly
Increased test coverage for an entire codebase
Organization-level workflows made faster
Successful migration from one language version to another, one framework to another, etc
These are harder to measure because most organizations do not have the luxury of comparing how a project would go with or without a tool. A better approach is to choose a smaller representative project and run a tight pilot or A/B test with a small number of developers who can perform the type of tasks that they might perform in the actual project—both with and without the tool.
An underappreciated (but potentially revolutionary) aspect of using AI in coding is that it has unlocked many projects that in the past were considered too risky or too cumbersome to even take on. Legacy code, too many dependencies, lack of documentation, or lack of relevant skills in the current team have often dissuaded teams from taking on potentially impactful projects. Now, many such projects are not only being initiated but also successfully completed. Such code transformations can sometimes produce even more business impact than adding a new product feature because they provide the foundation for more people to be able to innovate in this codebase.
Leidos often takes on customer projects related to the modernization and migration of legacy code. For example, migrating from Oracle to PostgreSQL once took a full sprint, if not longer. Cody got them 80% to 90% of the way there within minutes.
I really can't express how blown away I am with Cody. I can't go back to... whatever it was like before. I use Cody every day, all day long. No matter what I write, Cody helps improve it and it goes way beyond coding in some specific language, you can make Cody explain things to you every step of the way. Really, this is it, the future of coding.
— Leidos Engineer
What about developer satisfaction?
Almost all engineers and engineering leaders report that “developer satisfaction” is important to them.
Are the developers actually using the tool and want to come back to it?
Do they feel like the tool is helping them be in the flow and do their job better?
What % of their time are they spending on things that they find exciting and rewarding?
Most developers believe a flow experience involves spending time coding (and not information gathering). In other words, the IDE is the flow zone. Engineers at Qualtrics report having to leave their IDE to find information on the web 28% less often when using Cody, and they can understand code 25% faster.
One of the most daunting things as a junior engineer is working on a large, existing codebase. There is always a ton of domain knowledge about that code that's restricted to the people who wrote it, no matter how well it's documented. There are always nuances that only the code authors know. But if developers know how to prompt Cody, Cody can find context and explain the code to them.
— Brendan Doyle, Senior Software Engineer at Qualtrics
Developer satisfaction, often based on self-reported data, is qualitative. However, it is still useful to run internal surveys among the tool's actual users to keep track of developer sentiment, discover qualitative insights about actual use case scenarios, and identify training needs for your teams.
Summary
Measuring the ROI of AI coding assistants is not trivial. You need to consider what your real business objectives are, whether the data gathering for ROI calculations is through the tool or your own custom measurements, and how mature your team operations are. However, given the promise of AI coding assistants, several smart engineering leaders are willing to dive deep and find out for themselves. If you happen to be one of them, we would love to hear from you and help you with your exploration. Please feel free to sign up for our enterprise trial, in which our team of experts will guide you through the measurement process. | 2024-11-08T05:54:02 | en | train |
42,053,841 | marban | 2024-11-05T18:12:45 | Apple warns investors future products may never be as profitable as iPhone | null | https://www.ft.com/content/e30eb646-a7ad-496e-8fa4-ff1b4445e853 | 4 | 0 | [
42053842
] | null | null | null | null | null | null | null | null | null | train |
42,053,843 | null | 2024-11-05T18:13:08 | null | null | null | null | null | null | [
"true"
] | true | null | null | null | null | null | null | null | train |
42,053,852 | mooreds | 2024-11-05T18:13:56 | Skydeck.ai and Hugging Face: Integration for Businesses | null | https://www.skydeck.ai/blog/skydeck-ai-hugging-face-a-strategic-ai-integration-for-businesses | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,879 | cnqpd | 2024-11-05T18:16:55 | null | null | null | 1 | null | [
42053880
] | null | true | null | null | null | null | null | null | null | train |
42,053,881 | belter | 2024-11-05T18:17:01 | Indonesia steps up trade protectionism with Apple and Google phone bans | null | https://www.ft.com/content/9e939dd1-25d1-43fb-92cd-082ceb80c270 | 1 | 0 | null | null | null | paywall_blocked | Indonesia steps up trade protectionism with Apple and Google phone bans | 2024-11-05T05:08:48.346Z | Diana Mariska, A. Anantha Lakshmi | Accessibility helpSkip to navigationSkip to contentSkip to footerSubscribe to unlock this articleTry unlimited accessOnly $1 for 4 weeksThen $75 per month.
Complete digital access to quality FT journalism on any device.
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42,053,885 | crescit_eundo | 2024-11-05T18:17:25 | null | null | null | 1 | null | [
42053904,
42053893,
42053887,
42053900
] | null | true | null | null | null | null | null | null | null | train |
42,053,889 | haseeb_asad | 2024-11-05T18:17:31 | DataClean: AI-Powered Tool for Converting Unstructured Data to JSON | Introducing DataClean – a SaaS tool that uses AI to transform messy, unstructured text into structured JSON. Ideal for developers and data teams, it helps automate parsing, saving hours of manual work.<p>Features:<p>AI parsing for diverse text inputs
Customizable JSON output
Developer-friendly API for easy integration
We’d love feedback on usability and potential improvements!<p>https://www.dataclean.tech/ | null | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,896 | crescit_eundo | 2024-11-05T18:18:35 | New database highlights gaps in plastic monitoring efforts | null | https://www.chemistryworld.com/news/new-database-highlights-gaps-in-plastic-monitoring-efforts/4020449.article | 2 | 1 | [
42053897,
42053947
] | null | null | null | null | null | null | null | null | null | train |
42,053,912 | trq_ | 2024-11-05T18:19:52 | Should Developers care about AI Interpretability? | null | https://www.thariq.io/blog/interpretability/ | 10 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,928 | crescit_eundo | 2024-11-05T18:20:57 | null | null | null | 1 | null | [
42053958,
42053929
] | null | true | null | null | null | null | null | null | null | train |
42,053,932 | Sevan777 | 2024-11-05T18:21:33 | Western Digital SSDs and Legacy Macs | null | https://www.geeklan.co.uk/?p=3354 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,943 | miles | 2024-11-05T18:22:48 | Windows 2022 Servers Unexpectedly Upgrading to 2025 | null | https://old.reddit.com/r/sysadmin/comments/1gk2qdu/windows_2022_servers_unexpectedly_upgrading_to/ | 3 | 0 | [
42053956
] | null | null | null | null | null | null | null | null | null | train |
42,053,955 | null | 2024-11-05T18:24:29 | null | null | null | null | null | null | [
"true"
] | null | null | null | null | null | null | null | null | train |
42,053,957 | bhealthymom | 2024-11-05T18:25:07 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,961 | hackerjavi | 2024-11-05T18:25:39 | null | null | null | 1 | null | [
42053962
] | null | true | null | null | null | null | null | null | null | train |
42,053,963 | thunderbong | 2024-11-05T18:25:41 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,053,965 | saikatsg | 2024-11-05T18:25:44 | PyHAT-Stack | null | https://github.com/PyHAT-stack | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,053,967 | roseway4 | 2024-11-05T18:25:58 | null | null | null | 7 | null | [
42068422
] | null | true | null | null | null | null | null | null | null | train |
42,053,977 | microflash | 2024-11-05T18:27:20 | Rust-script: Run Rust files and expressions as scripts | null | https://rust-script.org/ | 1 | 1 | [
42054152
] | null | null | null | null | null | null | null | null | null | train |
42,053,988 | 2OEH8eoCRo0 | 2024-11-05T18:28:04 | US fines GlobalFoundries for shipping chips to sanctioned Chinese firm | null | https://www.reuters.com/technology/us-penalizes-globalfoundries-shipping-chips-chinese-firm-2024-11-01/ | 5 | 0 | [
42054057
] | null | null | null | null | null | null | null | null | null | train |
42,054,001 | JumpCrisscross | 2024-11-05T18:30:34 | Facing Extinction, Britain's Aristocrats Make a Curious Case for Survival | null | https://www.wsj.com/world/uk/britain-lords-aristocrats-parliament-e2286913 | 2 | 1 | [
42054338
] | null | null | null | null | null | null | null | null | null | train |
42,054,009 | ryanwaldorf | 2024-11-05T18:31:17 | Show HN: Melchi – Open-Source Snowflake to DuckDB Replication with CDC Support | Hey hacker news! I built Melchi, an open-source tool that handles Snowflake to DuckDB replication with proper CDC support. I'd love your feedback on the approach and potential use cases.<p>*Why I built it:*
When I worked at Redshift I saw two common scenarios that were painfully difficult to solve: Teams needed to query and join data from other organizations' Snowflake instances with their own data stored in different warehouse types, or they wanted to experiment with different warehouse technologies but the overhead of building and maintaining data pipelines was too high. With DuckDB's growing popularity for local analytics, I built this to make warehouse-to-warehouse data movement simpler.<p>*How it works:*
* Supports three CDC strategies: standard streams (full change tracking), append-only streams (insert-only tables), and full refresh
* Handles schema matching and type conversion automatically
* Manages all the change tracking metadata
* Uses DataFrames for efficient data movement instead of CSV dumps
* Provides transactional consistency with automatic rollback on failures
* Processes data in configurable batch sizes for memory efficiency<p>Quick setup example:
```yaml
source:
type: snowflake
account: ${SNOWFLAKE_ACCOUNT}
warehouse: YOUR_WAREHOUSE
change_tracking_schema: streams<p>target:
type: duckdb
database: output/local.duckdb
```<p>*Current limitations:*
* Geography/Geometry columns not supported with standard streams (Snowflake limitation)
* Primary keys must be defined in Snowflake (or a row ID will be auto-generated)
* All tables must be replaced together when modifying transfer configuration
* Cannot replicate tables with identical schema/column names into DuckDB, even from different Snowflake databases<p>*Questions for the community:*
1. What use cases do you see for this kind of tool?
2. What features would make this more useful for your workflow?
3. Any concerns about the approach to CDC?
4. What other source/target databases would be valuable to support?<p>GitHub: <a href="https://github.com/ryanwith/melchi">https://github.com/ryanwith/melchi</a>
Discord: <a href="https://discord.gg/bTg9kJ92" rel="nofollow">https://discord.gg/bTg9kJ92</a><p>Looking forward to your thoughts and feedback! | https://github.com/ryanwith/melchi | 6 | 14 | [
42056672,
42055070,
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42054276
] | null | null | null | null | null | null | null | null | null | train |
42,054,010 | exolymph | 2024-11-05T18:31:21 | Internet Improv | null | https://paragraph.xyz/@whitney/internet-improv | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,044 | cannibalXxx | 2024-11-05T18:35:12 | null | null | null | 7 | null | [
42054135,
42054336,
42054048
] | null | true | null | null | null | null | null | null | null | train |
42,054,047 | thunderbong | 2024-11-05T18:35:51 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,054,055 | preciousoo | 2024-11-05T18:36:41 | Ask HN: Why doesnt windows require password for biometric auth? | Apple (and I believe Samsung) devices require atleast one password auth before allowing finger/face auth. In Apple devices, if you fail bio auth a certain amount of times, they will strictly require password auth.<p>On windows this is not so, in my experience. I can instantly use my face or password on system boot, and failing bio auth multiple times just requires me to click a couple buttons till I can try again. Do they believe in their auth so far? Or is it just a feature of Fastboot?(as in the fact that the password was verified once upon a time is flagged in fast boot) | null | 2 | 4 | [
42054404,
42054648,
42055234
] | null | null | null | null | null | null | null | null | null | train |
42,054,062 | miles | 2024-11-05T18:37:22 | Lingering Mac Office 2008 workaround (2023) | null | https://www.geeklan.co.uk/?p=3209 | 3 | 1 | [
42054063,
42054080,
42054077
] | null | null | null | null | null | null | null | null | null | train |
42,054,064 | thunderbong | 2024-11-05T18:37:35 | Archive of Wiki.bash-Hackers.org | null | https://github.com/flokoe/bash-hackers-wiki | 2 | 0 | [
42054066
] | null | null | no_error | GitHub - flokoe/bash-hackers-wiki: Archive of wiki.bash-hackers.org | null | flokoe | Bash Hackers Wiki
The popular wiki.bash-hackers.org (original IP address: 83.243.40.67) site had its DNS expire in April 2023. The owner seems unresponsive, see the Reddit thread here. Fortunately, the web server behind wiki.bash-hackers.org is still running, so I crawled the entire wiki to archive the current versions of all pages.
This repo tries to preserve and present all this valuable information in a modern way and format, just in case the original wiki won't come back.
Development
To edit and develop locally install the following packages and run the built in dev webserver:
python3 -m venv env
source env/bin/activate
pip install mkdocs-material mkdocs-git-revision-date-localized-plugin mkdocs-awesome-pages-plugin mkdocs-minify-plugin
mkdocs serve
LICENSE
As per the original wiki.bash-hackers.org:
This wiki and any programs found in this wiki are free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This wiki and its programs are distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
See LICENSE for more details.
Modifications
The original source files that I scraped from the wiki can be found unmodified in original_source.
Under docs you will find files that are converted from the original DokuWiki Text to Markdown. Furthermore, I slightly modified the organization of the files to be a better fit for MkDocs Material.
COPYRIGHT
The original copyright belongs to Jan Schampera (TheBonsai) and subsequent contributors, 2007 - 2023.
It is important to me that copyright and attribution are given where required. If you're one of the original contributors, and you believe I've violated your copyright in any way, please let me know and write me an email at [email protected].
| 2024-11-08T00:39:28 | en | train |
42,054,072 | nimbus3001 | 2024-11-05T18:38:32 | Why AI agents keep disappointing us | null | https://saradu.substack.com/p/agent-task-logs | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,083 | bcks | 2024-11-05T18:39:18 | Who Says You Can't Live Off the Grid in Manhattan? | null | https://www.nytimes.com/2024/11/05/nyregion/joshua-spodek-eco-influencer.html | 5 | 1 | [
42054227
] | null | null | null | null | null | null | null | null | null | train |
42,054,086 | skadamat | 2024-11-05T18:39:47 | It's never okay to crop the y-axis, except when it is | null | https://observablehq.com/blog/never-okay-crop-y-axis-except-when-it-is | 1 | 0 | null | null | null | no_error | It’s never okay to crop the y-axis, except when it is | 2024-10-08T00:00:00.000Z | Robert Kosara | When creating a chart, one of the decisions you have to make is what range of values to show. A common visualization rule says that you’re supposed to start the vertical (Y) axis at 0, at least with bar charts. Check out this pair of example bar charts:Both charts in this image show the same data about the number of medals by country in a past Olympic Games. The left chart, however, starts at zero, while the one on the right cuts off all numbers below 300.It’s easy to see that the chart on the right exaggerates the difference between countries. The top-ranked U.S. has about twice as many medals as Spain (ESP) in tenth place, not 20 times as many as the chart on the right might have you believe.The risk here is that people looking at this chart will miss that it’s cut off, misread the values, and potentially base an important decision on a misunderstanding. This isn’t just a theoretical problem, studies have shown that this is indeed something people reliably get wrong. We’ll talk about one such study below.This has led to the general rule to never start a bar chart at a value other than zero. In fact, many visualization tools and charting libraries make it difficult or even impossible to create bar charts with a non-zero baseline. Theory vs. practice: the line chartNow this is all good and well with bar charts, since we read bar charts by length. But what about line charts? We supposedly read line charts by position of the points, so they should be immune to having their vertical axis cropped. See for yourself in this chart of Apple’s stock price over about 2 years, starting at 0 on the left and about 90 on the right.These charts clearly look different, the vertical change from one end of the chart to the other is about twice as much in the chart with the cropped axis. While we might read line charts by position, we often care more about the slope of the chart, which is impacted by the range of values on the vertical axis.This is not a new observation. In his famous 1954 book, How to Lie with Statistics, Darrell Huff uses a line chart to illustrate what he calls a “gee-whiz graph.” He creates it by taking a line chart that originally starts its vertical axis at 0, cropping it, and then rescaling the chart back to the same size (the person in the background is there to indicate the amount of cropping and distortion).The chart on the left has its vertical axis extended all the way to zero. On the top right, it has been cropped, but is otherwise the same slope. Huff argues that this is a distortion, because it makes it seem as if the numbers increased by 100% over the course of the year. The bottom right chart stretches a very small vertical range across the same vertical area as the original graph. Clearly an exaggeration!This example is interesting because it somewhat goes against Huff’s intended point. The first chart takes up a lot of space, making it impossible to see any pattern like the bottom right chart is showing. The inclusion of the zero doesn’t actually seem to be very meaningful for interpreting the data, or helping to read the chart.But either way, the choice to cut off the axis or include zero makes a big difference. The question is, are people able to understand what they’re looking at? What the research saysIn a paper with the great title, Truncating the Y-Axis: Threat or Menace, Michael Correll, Enrico Bertini, and Steve Franconeri report on a set of studies where they tested the effect of cropping the y axis. They look into ways of indicating that the axis was cropped, as well as any differences in how bar and line charts would be affected.In short, they find that there really is no difference between bar and line charts. People misread both kinds of charts, even when there are prominent indicators that the vertical axis has been truncated.In a way, that is what we want: the chart is supposed to work as a graphical representation, and not require us to do mental math with the numbers on the axes. But it also means that we need to be very careful when designing charts and visualizations, and can’t rely on people being able to spot a cropped axis.This might mean that Huff was right, and all charts really should start at 0 – but the authors of this paper reject that. Instead, they think that it comes down to a judgment call: “The designer of the visualization, by selecting a y-axis starting point, has control over the subjective importance of the resulting differences.” If zero is in the neighborhood…This all might be a little unsatisfactory and not very helpful in practice. There is light at the end of the tunnel, though!Famous statistician and blogger Andrew Gelman has come up with a pithy rule of thumb, “if zero is in the neighborhood, invite it in!” – and has illustrated it with a simple example.What this means is that when your range of values bottoms out close to zero, relative to the range of values, extend it down to zero. This doesn’t compress the chart too much, and helps avoid misunderstandings. If the values are in a range nowhere near zero, leave it out!Going back to the example from Lying with Statistics, zero is nowhere near the values being shown, and should therefore not be included. In fact, including zero there compresses the line to the point where it no longer shows useful information. ConclusionGelman’s rule is helpful for line charts, and while it does leave some wiggle room, it is quite straightforward and easy to follow. It does doesn't entirely take the decision out of the hands of the visualization creator, and that’s a good thing. Visualization is not an exact science, so taste and judgment are still important for good results. Bar charts should always start at zero, however. This is also supported by the Threat or Menace paper I mentioned above, and remains a good, general rule.Beyond bar and line charts, this question is usually less problematic. Area charts, when the area is of interest (rather than just for aesthetics), should start at 0, just like bar charts. The axes on scatterplots are usually scaled purely by the range of the values shown, since these really are read as position (unlike line charts, where slope is often more important).For more on building better charts and dashboards, check out our other blog posts:Five underused charts for richer dashboardsDeliver big insights in small spacesSeven ways to design better dashboards | 2024-11-08T20:42:24 | en | train |
42,054,102 | PaulHoule | 2024-11-05T18:41:30 | TextLap: Customizing Language Models for Text-to-Layout Planning | null | https://arxiv.org/abs/2410.12844 | 8 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,114 | mixeden | 2024-11-05T18:42:39 | EfficientNet Enhances Breast Histopathology Classification | null | https://synthical.com/article/EfficientNet-with-Hybrid-Attention-Mechanisms-for-Enhanced-Breast-Histopathology-Classification%3A-A-Comprehensive-Approach-7f14a37b-ac1a-45fc-a0b4-c265f960cf70 | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,119 | avinassh | 2024-11-05T18:43:15 | Writing and Getting from Zero to Done | null | https://jack-vanlightly.com/blog/2024/11/5/on-writing-and-getting-from-zero-to-done | 1 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,129 | skwee357 | 2024-11-05T18:44:29 | Why DX Doesn't Matter | null | https://yieldcode.blog/post/why-dx-doesnt-matter/ | 2 | 5 | [
42054242
] | null | null | null | null | null | null | null | null | null | train |
42,054,144 | raunakchowdhuri | 2024-11-05T18:46:31 | Rd-TableBench – Accurately evaluating table extraction | Hey HN!<p>A ton of document parsing solutions have been coming out lately, each claiming SOTA with little evidence. A lot of these turned out to be LLM or LVM wrappers that hallucinate frequently on complex tables.<p>We just released RD-TableBench, an open benchmark to help teams evaluate extraction performance for complex tables. The benchmark includes a variety of challenging scenarios including scanned tables, handwriting, language detection, merged cells, and more.<p>We employed an independent team of PhD-level human labelers who manually annotated 1000 complex table images from a diverse set of publicly available documents.<p>Alongside this, we also release a new bioinformatics inspired algorithm for grading table similarity. Would love to hear any feedback!<p>-Raunak | https://reducto.ai/blog/rd-tablebench | 29 | 6 | [
42055398,
42054657,
42054368,
42054253
] | null | null | null | null | null | null | null | null | null | train |
42,054,154 | crescit_eundo | 2024-11-05T18:47:19 | Easy to remove tag could make mRNA synthesis for vaccines quicker and cheaper | null | https://www.chemistryworld.com/news/easy-to-remove-tag-could-make-mrna-synthesis-for-vaccines-quicker-and-cheaper/4020409.article | 2 | 1 | [
42054155
] | null | null | null | null | null | null | null | null | null | train |
42,054,156 | dmezzetti | 2024-11-05T18:47:25 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,054,162 | azhenley | 2024-11-05T18:49:01 | Ternary Operators | null | https://buttondown.com/hillelwayne/archive/a-list-of-ternary-operators/ | 64 | 68 | [
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] | null | null | no_error | A list of ternary operators | 2024-11-05T18:40:33.104663+00:00 | Computer Things |
November 5, 2024
Why let conditionals keep hogging the spotlight?
Sup nerds, I'm back from SREcon! I had a blast, despite knowing nothing about site reliability engineering and being way over my head in half the talks. I'm trying to catch up on The Book and contract work now so I'll do something silly here: ternary operators.
Almost all operations on values in programming languages fall into one of three buckets:
Unary operators, where the operator goes before or after exactly one argument. Examples are x++ and -y and !bool. Most languages have a few critical unary operators hardcoded into the grammar. They are almost always symbols, but sometimes are string-identifiers (not).
Binary operators, which are placed between exactly two arguments. Things like + or && or >=. Languages have a lot more of these than unary operators, because there's more fundamental things we want to do with two values than one value. These can be symbols or identifiers (and).
Functions/methods that prefix any number of arguments. func(a, b, c), obj.method(a, b, c, d), anything in a lisp. These are how we extend the language, and they almost-exclusively use identifiers and not symbols.1
There's one widespread exception to this categorization: the ternary operator bool ? x : y.2 It's an infix operator that takes exactly three arguments and can't be decomposed into two sequential binary operators. bool ? x makes no sense on its own, nor does x : y.
Other ternary operators are extremely rare, which is why conditional expressions got to monopolize the name "ternary". But I like how exceptional they are and want to compile some of them. A long long time ago I asked Twitter for other ternary operators; this is a compilation of some applicable responses plus my own research.
(Most of these are a bit of a stretch.)
Stepped Ranges
Many languages have some kind of "stepped range" function:
# Python
>>> list(range(1, 10, 2))
[1, 3, 5, 7, 9]
There's the "base case" of start and endpoints, and an optional step. Many languages have a binary infix op for the base case, but a few also have a ternary for the optional step:
# Frink
> map[{|a| a*2}, (1 to 100 step 15) ]
[2, 32, 62, 92, 122, 152, 182]
# Elixir
> IO.puts Enum.join(1..10//2, " ")
1 3 5 7 9
This isn't decomposable into two binary ops because you can't assign the range to a value and then step the value later.
Graph ops
In Graphviz, a basic edge between two nodes is either the binary node1 -> node2 or the ternary node1 -> node2 [edge_props]:
digraph G {
a1 -> a2 [color="green"]
}
Graphs seem ternary-friendly because there are three elements involved with any graph connection: the two nodes and the connecting edge. So you also see ternaries in some graph database query languages, with separate places to specify each node and the edge.
# GSQL (https://docs.tigergraph.com/gsql-ref/4.1/tutorials/gsql-101/parameterized-gsql-query)
SELECT tgt
FROM start:s -(Friendship:e)- Person:tgt;
# Cypher (https://neo4j.com/docs/cypher-manual/current/introduction/cypher-overview/)
MATCH (actor:Actor)-[:ACTED_IN]->(movie:Movie {title: 'The Matrix'})
Obligatory plug for my graph datatype essay.
Metaoperators
Both Raku and J have special higher-order functions that apply to binary infixes. Raku calls them metaoperators, while J calls them adverbs and conjugations.
# Raku
# `a «op» b` is map, "cycling" shorter list
say <10 20 30> «+» <4 5>
(14 25 34)
# `a Rop b` is `b op a`
say 2 R- 3
1
NB. J
NB. x f/ y creates a "table" of x f y
1 2 +/ 10 20
11 21
12 22
The Raku metaoperators are closer to what I'm looking for, since I don't think you can assign the "created operator" directly to a callable variable. J lets you, though!
h =: +/
1 2 h 3 4
4 5
5 6
That said, J has some "decomposable" ternaries that feel spiritually like ternaries, like amend and fold. It also has a special ternary-ish contruct called the "fork".3 x (f g h) y is parsed as (x f y) g (x h y):
NB. Max - min
5 (>. - <.) 2
3
2 (>. - <.) 5
3
So at the top level that's just a binary operator, but the binary op is constructed via a ternary op. That's pretty cool IMO.
Assignment Ternaries
Bob Nystrom points out that in many languages, a[b] = c is a ternary operation: it is not the same as x = a[b]; x = c.
A weirder case shows up in Noulith and Raku (again): update operators. Most languages have the += binary operator, these two have the f= ternary operator. a f= b is the same as a = f(a, b).
# Raku
> my $x = 2; $x max= 3; say $x
3
Arguably this is just syntactic sugar, but I don't think it's decomposable into binary operations.
Custom user ternaries
Tikhon Jelvis pointed out that Agda lets you define custom mixfix operators, which can be ternary or even tetranary or pentanary. I later found out that Racket has this, too. Objective-C looks like this, too, but feels different somehow.
Near Misses
All of these are arguable, I've just got to draw a line in the sand somewhere.
Regular expression substitutions: s/from/to/flags seems like a ternary, but I'd argue it a datatype constructor, not an expression operator.
Comprehensions like [x + 1 | x <- list]: looks like the ternary [expr1 | expr2 <- expr3], but expr2 is only binding a name. Arguably a ternary if you can map and filter in the same expression a la Python or Haskell, but should that be considered sugar for
Python's operator chaining (1 < x < 5): syntactic sugar for 1 < x and x < 5.
Someone suggested glsl swizzles, which are very cool but binary operators.
Why are ternaries so rare?
Ternaries are somewhat more common in math and physics, f.ex in integrals and sums. That's because they were historically done on paper, where you have a 2D canvas, so you can do stuff like this easily:
We express the ternary by putting arguments above and below the operator. All mainstream programming languages are linear, though, so any given symbol has only two sides. Plus functions are more regular and universal than infix operators so you might as well write Sum(n=0, 10, n). The conditional ternary slips through purely because it's just so darn useful. Though now I'm wondering where it comes from in the first place. Different newsletter, maybe.
But I still find ternary operators super interesting, please let me know if you know any I haven't covered!
Blog Rec
This week's blog rec is Alexis King! Generally, Alexis's work spans the theory, practice, and implementation of programming languages, aimed at a popular audience and not an academic one. If you know her for one thing, it's probably Parse, don't validate, which is now so mainstream most people haven't read the original post. Another good one is about modeling open-world systems with static types.
Nowadays she is far more active on Programming Languages Stack Exchange, where she has blog-length answers on reading type notations, compiler design, and why arrows.
If you're reading this on the web, you can subscribe here. Updates are once a week. My main website is here.
My new book, Logic for Programmers, is now in early access! Get it here.
| 2024-11-07T07:16:27 | en | train |
42,054,170 | noleary | 2024-11-05T18:50:04 | Why our software never returns warnings | null | https://ssoready.com/blog/engineering/why-our-software-never-returns-warnings/ | 2 | 0 | null | null | null | no_error | Why our software never returns warnings | null | null |
We allow only successes and failures -- we have no concept of warnings -- because we think it's our job always to stake an opinion
We at SSOReady spend a good chunk of our day talking about pretty minor product decisions. I mean stuff like should this button say ‘Done’ or ‘Close?’ For a company of our size (i.e., not very big), details like this might seem pretty tedious, maybe inconsequential – but we think it all adds up.
As we make decisions, we tend not to rely on firm rules. We basically improvise. We figure it’s best at our stage to make judgment calls. If we’re wrong, the thinking goes, we can reverse course pretty easily. After all, we’re still small enough that we get direct feedback from every single customer.
However, we have developed at least one firm rule: our software never returns warnings to developers. We enforce binary outcomes. Either the behavior’s exactly right or it’s a full-fledged error.
Here’s one example to illustrate what I mean.
Our SAML single sign-on product allows only two states for SAML responses. A login may either have Succeeded or Failed (for an attempted login to remain In Progress indicates the absence of any response from an identity provider). By choice, we have no way to float warnings to our customers.
We’re borrowing this design choice from the Go compiler, which similarly never reports warnings. That behavior has at times inspired frustration from developers, because it means the Go compiler returns errors in places that other languages wouldn’t. You can’t just have unused variables, for example. Go’s FAQs share more on the reasoning.
We think this is the right approach for our product for basically three reasons.
First, warnings give us room to be lazy. Great product teams take care not to pass too many decisions onto the user. Mediocre teams ship lots of stuff and leave the user with a sea of nested menus and esoteric settings to fiddle with. We see this in big companies with fragmented decision-making authority. Their products just get increasingly indecisive, bloated, and confusing. It’d be too easy for us just to say ‘yeah, idk, add a warning when that happens.’
Second, we have to help our customers feel comfortable and confident during implementation. Most developers don’t really know how authentication works. We most commonly partner with customers undergoing a SAML/SCIM implementation for the first time. Above all else, our product exists to guide our users to the right outcome, so we’re just not doing our job if we introduce ambiguity. At no point can we say ’this thing could be bad, but you need to decide.’ That undermines our value proposition.
Third, security is paramount. We have to do everything in our power to protect our customers. If there’s any chance that a customer’s implementation looks unsafe, we have to be aggressive in enforcing failure. We have to constrain the universe of acceptable behaviors solely to things that we know are safe.
In short, we’re choosing to be opinionated. We’re consciously giving our customers pretty minimal discretion, because we think it’s the right product experience.
| 2024-11-08T05:11:46 | en | train |
42,054,172 | tquarton | 2024-11-05T18:50:10 | Ask HN: How to Fund Preclinical Studies for a New Drug Modality? | Hi HN,<p>I'm a computational systems biologist researching a new drug modality. After extensive in silico simulations and mathematical modeling, I've established some promising theoretical results. I'm ready to advance to preclinical studies to get some experimental validation to see if the approach works in vitro and in animal models.<p>My question is: What are the best funding options or strategies for securing early-stage capital for these preclinical studies? I need 200k to prove my approach works. Any advice or pointers to resources, networks, or specific funds would be greatly appreciated!<p>Thanks in advance! | null | 3 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,176 | tonyljx66 | 2024-11-05T18:50:58 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
42,054,186 | helloericsf | 2024-11-05T18:52:09 | Tencent Hunyuan-Large | null | https://github.com/Tencent/Tencent-Hunyuan-Large | 140 | 94 | [
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42,054,191 | connectsca | 2024-11-05T18:52:24 | Apple Dev account problem taking 2 months to resolve? | I've had an Apple developer account since March 2024.<p>Everything was working fine and our team was developing an app, until one day in August when developer.apple.com starting showing "Join the Apple Developer Program" and the "Enroll today" button.<p>That being said, when i visited appstoreconnect.apple.com, I had full access to all the resources.<p>When I tried to "Enroll today" button, I got this wonderful message "
Sorry, you can’t enroll at this time. Your Apple ID is already associated with the Account Holder of a membership."<p>So, fast forward to today, 2+ months later, after 15+ emails back and forths, 10+ phone calls, new tickets there is no progress.<p>Plenty of my emails have not received any replies, but I have these:<p>August 27:
It’s my understanding that you are having issues with accessing your membership details. I have reached out to my internal team in regards to your account. Once I get a reply, I will be in contact with you.<p>August 30:
To assist you, I have notified our operations team of the details of the case, and when there is an update, I will follow up with you directly.<p>September 4:
Our operations team does not have an update at this time. However, they are aware of the urgency, and when there is an update, I will reach out to you directly.<p>September 26:
We understand you are requesting access to your Apple Developer Program membership. We'll contact you when an update is available.<p>October 29:
My name is Katie, I am a senior Advisor with Developer Support. I understand that you called in today to request an update on your account access issue. I'm happy to look into this with you. Your ticket is still open and is under review by the appropriate teams. We will follow up with you when an update is available.<p>I've even asked to close the account and I'll rejoin from scratch.<p>On September 18, I submitted feedback through Apple Feedback Assistant for Developers, complaining that it was over 3 weeks for anything, and their input was to "follow-up via the dialogue i've already started for Case Id xxxxx".<p>My dev team is on standby and I'm at a loss. Frankly I'm pretty stunned that Apple can't solve something like this in less than 2 months...<p>Anyone experience anything similar, or insight on how I can get someone at Apple to help?<p>Cheers. | null | 15 | 1 | [
42054680,
42054216
] | null | null | null | null | null | null | null | null | null | train |
42,054,203 | thunderbong | 2024-11-05T18:54:26 | Humans Glow in the Dark (2009) | null | https://www.theguardian.com/science/blog/2009/jul/17/human-bioluminescence | 3 | 1 | [
42054491
] | null | null | null | null | null | null | null | null | null | train |
42,054,246 | bookofjoe | 2024-11-05T18:59:14 | Scientists decipher two-photon vision | null | https://phys.org/news/2024-11-scientists-decipher-photon-vision.html | 2 | 0 | null | null | null | http_other_error | Just a moment... | null | null | Please complete security verificationThis request seems a bit unusual, so we need to confirm that you're human. Please press and hold the button until it turns completely green. Thank you for your cooperation!Press and hold the buttonIf you believe this is an error, please contact our support team.24.173.64.2 : 3925c486-fe04-4223-a964-78628898 | 2024-11-08T09:05:40 | null | train |
42,054,250 | rbanffy | 2024-11-05T19:00:43 | Austen and Darwin converged on the question of beauty Essays | null | https://aeon.co/essays/how-austen-and-darwin-converged-on-the-question-of-beauty | 2 | 0 | null | null | null | null | null | null | null | null | null | null | train |
42,054,266 | cannibalXxx | 2024-11-05T19:03:19 | null | null | null | 1 | null | null | null | true | null | null | null | null | null | null | null | train |
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