Yann LeCun
26.8K posts

Yann LeCun
@ylecun
Professor at NYU & Executive Chairman at AMI Labs. Ex-Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.




I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s reception, so I have made my slides available, annotated with a lightly edited transcript: cs.princeton.edu/~arvindn/talks… I made three arguments. First, the "AI as Normal Technology" framework is a correct and useful as a way to think about AI’s impacts, unless and until there is some future discontinuity such as through recursive self-improvement. Second, even though we should take recursive self-improvement seriously, there is no milestone that companies might achieve in the lab that will suddenly put us all out of work. Third and finally, jobs of the future will be radically different, and a lot of adaptation will be needed. I shared my thinking about what this might look like and ended with a vision of human/AI “co-superintelligence”.



UPDATE: Donald Trump plans to claim in his speech that newly declassified intelligence reports reveal a foreign nation's plans to interfere in the 2020 presidential election, two White House officials told MS NOW








@KenRoth The biggest risk of AI is the concentration of power in a few dominant providers of proprietary AI assistants. The only solution to AI sovereignty is open source foundation models.




@KenRoth The biggest risk of AI is the concentration of power in a few dominant providers of proprietary AI assistants. The only solution to AI sovereignty is open source foundation models.

Typical NYT understatement for what is an apocalyptic destruction of the American innovation ecosystem. I can't understand how the Trump administration is doing this while boasting about American technology leadership. Don't they realize that a nation can't get technological innovations without scientists, and that scientists are former PhD students?




I'm firmly in the third camp. The basic problem with AI 2040 is that it uses a fictional and speculative doomsday scenario to justify very real surveillance and control capabilities that governments would be certain to use in authoritarian ways, well beyond AI safety. It warns against concentration of AI power but its policy proposals serve to increase the power of the most powerful entities on planet Earth. It concretely sacrifices freedom in ways guaranteed to cause harm, in an effort to forestall a made up threat. It proposes safety tools that give governments unprecedented capabilities to monitor, suppress, and manipulate. These tools are intended only to stop the development of overly powerful AI, but once they exist, governments will use them as they please. Its authors mean well, but are so convinced of a fictional and unproven threat that they'd do real harm to the world to prevent it. It would create a world that is less free and less safe in the name of safety for a threat that may not even exist. I can't imagine making this trade off.






