also isn’t any model that costs less than $100M to train largely exempt? billion dollar companies can do a little paperwork for the public good; it won’t kill them.
@garymarcus
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AI Regulation Necessary: Tech Companies Acknowledge Clear Risks
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not worse than aviation, automobiles etc by any stretch. there should be some regulatory burden since there are clear risks that the tech companies themselves have acknowledged.
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California AI Regulation Debate: Developer Liability Concerns
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Hey @garrytan @ycombinator your letter on California’s AI regulation seems awfully sensationalist and alarmist to me. Have I missed something? You say “AI software developers could go to jail simply for failing to anticipate misuse of their software–a standard of product
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Stochastic Nature of AI Systems and Context Dependencies
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all true and yet they are effectively stochastic, however, because of the interactions of context, the ways that slight variations yield different answers, and the way in which the output depends on exact idiosyncrasies of input.
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LLMs Alone Won’t Solve AI: The Next Decade
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LLMs alone won’t get us there, and even if we do have better algorithms, there’s a lot of work to do. See my essay Next Decade in AI.
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AGI before 2040: acknowledging LLM limits and next steps
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AGI before 2040 could definitely happen. There are a lot of problems to solve but a lot of money and people working on it. The sooner people acknowledge the limits on LLMs, the sooner we might move on to what happens next. And it is hard to predict that. See also my fun dialog
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Kurzweil Reaffirms 2029 Timeline for Artificial General Intelligence
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update; kurzweil is standing by 2029, see https://
open.substack.com/pub/garymarcus
/p/clarification-from-ray-kurzweil
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Kurzweil Clarification: Gary Marcus Analyzes AGI Predictions
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https://
open.substack.com/pub/garymarcus
/p/clarification-from-ray-kurzweil
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