Training Your Replacement
Imagine the conflicted feelings of the machine learning expert who is creating artificial intelligence (AI) that they know will one day, possibly very soon, be able to create better AI than them. It's the new age's way of holding on to the time-honored tradition of having to train your own replacement. Machine learning experts are currently being paid a premium wage due to their limited numbers and the high demand for their valuable skills. However, with the dawn of software that is "learning to learn," those days may be numbered.
The most prolific minds in AI research from groups such as Google Brain, OpenAI, DeepMind, and university research departments at the nation's most prestigious tech schools are developing machine-learning systems that can create machine-learning systems. Researchers from Google Brain were able to design software that created an AI system to take a test that measures how well software can process language. The software did better on the test than software designed by humans. So, in a manner of speaking, much like recently reported zebra shark, AI can reproduce asexually.
According to MIT Technology Review, Jeff Dean, the leader of the Google Brain group, sees "automated machine learning" as the most promising research avenue for his team.“Currently the way you solve problems is you have expertise and data and computation. Can we eliminate the need for a lot of machine-learning expertise?”
Ever Expanding Experts
If it turns out that AI can consistently perform at levels comparable to the Google Brain experiment, self-starting AI could lead to faster implementation of the technology. While this prospect is very exciting for tech enthusiasts, growing numbers of people are worried about what increased roll-outs of AI systems could mean for their livelihoods.
Automation is set to disrupt the way the economy, and even capitalism itself, has operated for centuries. In the long run, machines are cheaper than human workers. There's no need to worry about vacation time, unionization, heath insurance, or many other aspects of employment that people need or expect from their employers. However, this cheaper, more effective labor force will come at a great cost.
The biggest sector to be hit by the proliferation of automation will be manufacturing, especially in the developing world. President Obama even mentioned automation in his farewell address. "But the next wave of economic dislocations won't come from overseas. It will come from the relentless pace of automation that makes a lot of good, middle-class jobs obsolete." Industry experts tend to agree.
Even more, as this development indicates, not just low-skill jobs are on the chopping block. There are currently AI systems being developed that can replace film editors, songwriters, journalists, and much more. And now, with AI that is capable of creating AI better than humans, we all need to be a little more observant and aware of what's on the horizon.
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"Hii ni ""kufikiria hisia za mgogoro"" za mtaalam wa kujifunza mashine ambaye anaunda akili bandia (AI) ambayo wanajua siku moja, labda hivi karibuni sana, wataweza kuunda AI bora kuliko wao." Ni njia ya enzi mpya ya kushikilia utamaduni wa wakati wa kuheshimiwa wa kuwa na mafunzo ya mbadala wako mwenyewe. Wataalamu wa kujifunza mashine kwa sasa wanalipwa mshahara wa premium kwa sababu ya idadi yao ndogo na mahitaji makubwa ya ujuzi wao wa thamani. Hata hivyo, kwa kuwa kuna programu ambazo "hujifunza kujifunza", huenda siku hizo zikawa zimehesabiwa. Akili za AI kutoka kwa makundi kama vile Google Brain, OpenAI, DeepMind, na idara za utafiti wa chuo kikuu katika shule za teknolojia maarufu zaidi nchini zinaendeleza mifumo ya kujifunza mashine ambayo inaweza kuunda mifumo ya kujifunza mashine. Watafiti kutoka Google Brain waliweza kubuni programu ambayo iliunda mfumo wa AI kuchukua mtihani ambao hupima jinsi programu inaweza kusindika lugha. Programu hiyo ilifanikiwa zaidi katika mtihani huo kuliko programu iliyoundwa na wanadamu. Kwa hivyo, kwa njia ya kusema, kama vile papa wa zebra aliyeripotiwa hivi karibuni, AI inaweza kuzaliana bila ngono. Jeff Dean, kiongozi wa kikundi cha ubongo wa Google, anaona kujifunza mashine kama njia ya utafiti ya matumaini zaidi kwa timu yake. "Kama inatokea kwamba AI inaweza kufanya kazi kwa kiwango cha kawaida kinachoweza kulinganishwa na jaribio la ubongo wa Google, AI inayoanza yenyewe inaweza kusababisha utekelezaji wa haraka wa teknolojia hiyo. """ Ingawa mtazamo huu ni wa kusisimua sana kwa wapenzi wa teknolojia, idadi inayoongezeka ya watu wana wasiwasi juu ya kile kuongezeka kwa mifumo ya AI inaweza kumaanisha kwa maisha yao. Uendeshaji wa kiotomatiki umewekwa kuvuruga njia ambayo uchumi, na hata ubepari yenyewe, umekuwa ukifanya kazi kwa karne nyingi. Kwa muda mrefu, mashine ni za bei nafuu kuliko wafanyakazi wa kibinadamu. Hakuna haja ya kuwa na wasiwasi kuhusu likizo, ushirika, bima ya afya, au mambo mengine mengi ya ajira ambayo watu wanahitaji au wanatarajia kutoka kwa waajiri wao. Hata hivyo, nguvu hii ya kazi ya bei nafuu na yenye matokeo zaidi itakuja kwa gharama kubwa. Sekta kubwa zaidi kuathiriwa na kuenea kwa automatisering itakuwa viwanda, hasa katika nchi zinazoendelea. Rais Obama hata alitaja automatisering katika hotuba yake ya kuaga. "Lakini wimbi linalofuata la machafuko ya kiuchumi halitakuja kutoka nje ya nchi. "Hiyo itatokana na kasi isiyo na mwisho ya automatisering ambayo inafanya kazi nyingi nzuri za tabaka la kati zisizohitajika.""" Wataalamu wa viwanda wanakubaliana na hilo. Zaidi ya hayo, kama maendeleo haya yanavyoonyesha, si kazi zenye ujuzi mdogo tu ambazo ziko kwenye kizuizi. Kwa sasa kuna mifumo ya AI inayoendelezwa ambayo inaweza kuchukua nafasi ya wahariri wa filamu, waandishi wa nyimbo, waandishi wa habari, na mengi zaidi. Na sasa, kwa AI ambayo ina uwezo wa kuunda AI bora kuliko wanadamu, sisi sote tunahitaji kuwa waangalifu zaidi na kujua kile kilicho kwenye upeo wa macho. Shiriki Makala Hii