人工智能是不同的。
AI is different

原始链接: https://www.antirez.com/news/155

尽管人工智能存在不足,但其快速发展——曾经是科幻小说——仍然引人注目,尤其是在语言理解和代码操作方面。然而,由于我们对这些复杂系统的理解有限以及过去预测其进展的失败,预测人工智能的未来是困难的。 当前人工智能能力的停滞是可能的,并且可能刺激进一步的研究,但持续的进步带来独特的经济挑战。与以往的技术繁荣不同,人工智能威胁到广泛的就业岗位,并可能降低对现有服务的需求。 当前市场反应,受到与过去技术繁荣模式匹配的驱动,可能具有误导性。未来由少数人工智能提供商主导是不可持续的,可能需要转向将人工智能作为一种商品,或进行政府干预,甚至从根本上重新评估我们的经济体系。尽管全球局势不稳定,市场仍然乐观,但历史表明,即使是成熟的体系也容易受到变革性变化的冲击——而人工智能很可能引发这种变化。

最近一篇发表在antirez.com上的文章引发了Hacker News的讨论,焦点在于人工智能独特的颠覆潜力。与以往的技术变革同时创造新工作机会不同,评论员们担心人工智能*学习*新角色的能力可能会超过人类再培训的能力。这引发了对失业工人将如何转型的问题,目前尚无明确答案。 一些人认为当前的大型语言模型(LLM)正在停滞,未来的进步需要彻底不同的架构,而另一些人则警告不要过度炒作,并认为目前的轨迹类似于过去的技术泡沫,例如加密货币。对于市场反应是否能洞察人工智能未来的影响,存在分歧。 一个共同的观点是对“大规模取代熟练工人”的说法持怀疑态度,一些人认为这种预测源于渴望显得有见地或缺乏该领域的专业知识。甚至有评论幽默地质疑人工智能是否会取代互联网评论本身!
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原文
antirez 2 days ago. 10186 views.
Regardless of their flaws, AI systems continue to impress with their ability to replicate certain human skills. Even if imperfect, such systems were a few years ago science fiction. It was not even clear that we were so near to create machines that could understand the human language, write programs, and find bugs in a complex code base: bugs that escaped the code review of a competent programmer.

Since LLMs and in general deep models are poorly understood, and even the most prominent experts in the field failed miserably again and again to modulate the expectations (with incredible errors on both sides: of reducing or magnifying what was near to come), it is hard to tell what will come next. But even before the Transformer architecture, we were seeing incredible progress for many years, and so far there is no clear sign that the future will not hold more. After all, a plateau of the current systems is possible and very credible, but it would likely stimulate, at this point, massive research efforts in the next step of architectures.

However, if AI avoids plateauing long enough to become significantly more useful and independent of humans, this revolution is going to be very unlike the past ones. Yet the economic markets are reacting as if they were governed by stochastic parrots. Their pattern matching wants that previous technologies booms created more business opportunities, so investors are polarized to think the same will happen with AI. But this is not the only possible outcome.

We are not there, yet, but if AI could replace a sizable amount of workers, the economic system will be put to a very hard test. Moreover, companies could be less willing to pay for services that their internal AIs can handle or build from scratch. Nor is it possible to imagine a system where a few mega companies are the only providers of intelligence: either AI will be eventually a commodity, or the governments would do something, in such an odd economic setup (a setup where a single industry completely dominates all the others).

The future may reduce the economic prosperity and push humanity to switch to some different economic system (maybe a better system). Markets don’t want to accept that, so far, and even if the economic forecasts are cloudy, wars are destabilizing the world, the AI timings are hard to guess, regardless of all that stocks continue to go up. But stocks are insignificant in the vast perspective of human history, and even systems that lasted a lot more than our current institutions eventually were eradicated by fundamental changes in the society and in the human knowledge. AI could be such a change.
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