Earlier quoted context omitted.
These are the types that want academic freedom in a cut-throat industry setup and conversely never fit into academia because their profiles and growth ambitions far exceed what an academic research lab can afford (barring some marquee names). It's an unfortunate paradox.
Maybe it's time for Bell Labs 2? I guess everyone is racing towards AGI in a few years or whatever so it's kind of impossible to cultivate that environment.
Yann LeCun to depart Meta and launch AI startup focused on 'world models'
491–500 of 680 posts
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#492Earlier quoted context omitted.
Hey, Boris from the Claude Code team here. We try hard to read through every issue, and respond to as many issues as possible. The challenge is we have hundreds of new issues each day, and even after Claude dedupes and triages them, practically we can’t get to all of them immediately. The specific issue you linked is related to the way Ink works, and the way terminals use ANSI escape codes to control rendering. When…
It’s surprising to hear this get chalked up to “it’s the way our TUI library works”, while e.g. opencode is going to the lowest level and writing their own TUI backend. I get that we can’t expect everyone to reinvent the wheel, but it feels symptomatic of something that folks are willing to chalk up their issues as just being an unfortunate and unavoidable symptom of a library they use rather than seeming that unacce…
Tech debt isn't something that even experienced large teams are immune to. I'm not a huge TypeScript fan, so seeing their choice to run their app on Node to me felt like a trade-off between development speed with the experience that the team had and at the expense of long-term growth and performance. I regularly experience pretty intense flickering and rendering issues and high CPU usage and even crashes but that doesn't stop me from finding the product incredibly useful.
Developing good software especially in a format that is relatively revolutionary takes time to get right and I'm sure whatever efforts they have internally to push forward a refactor will be worth it. But, just like in any software development, refactors are prone to timeline slips and scope creep. A company having tons of money doesn't change the nature of problem-solving in software development.
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#493Earlier quoted context omitted.
Yes, successfully many times?
It's not very good
It's just ... slow.
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#494It would have been just as interesting to read that he moved over to Google, where the real brains and resources are located at. Meta is now just competing against giants like OpenAI, Anthropic and Google, plus all the new Chinese companies; I see no real chance for them to offer a popular chat model, but rather to market their AI as a bundled product for companies which want to advertise, where the images and videos…
> moved over to Google, where the real brains and resources are located at Brains yes, outcome? I doubt it. Have you used Gemini?
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#495Most of the folks on this topic are focused on Meta and Yann’s departure. But, I’m seeing something different. This is the weirdest technology market that I’ve seen. Researchers are getting rewarded with VC money to try what remains a science experiment. That used to be a bad word and now that gets rewarded with billions of dollars in valuation.
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#496Earlier quoted context omitted.
People are unsophisticated and see how convincing LLM output looks on the surface. They think it's already intelligent, or that intelligence is just around the corner. Or that its ability to displace labor, if not intelligence, is imminent. If consumption of slop turns out to be a novelty that goes away and enough time goes by without a leap to truly useful intelligence, the AI investment will go down.
If we define intelligence as problem solving ability, then AI makes _me_ more intelligent, and I'm willing to pay for that.
So it's made it easier for people to be taken advantage of at the grocery store etc.
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#497Earlier quoted context omitted.
I don't understand how an intelligent person could accept a job offer from Facebook in 2025 and not understand what company they just agreed to work for.
It helps when they hand you comically large sacks with dollar signs on them
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#498I'm interested to understand how this works from an IP perspective. This guy is still employed by Meta but is actively fundraising for a new competing startup. Presumably he will have negotiated that Meta forfeits all rights to anything related to his new business? Would be interesting to hear of people's experience/advice for doing this. Or are there some legal entitlements he can avail of?
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#499Earlier quoted context omitted.
Can you explain this “world model” concept to me? How do you actually interface with a model like this?
A world model is a persistent representation of the world (however compressed) that is available to an AI for accessing and compute. For example, a weather world model would likely include things like wind speed, surface temperature, various atmospheric layers, total precipitable water, etc. Now suppose we provide a real time live feed to an AI like an LLM, allowing the LLM to have constant, up to date weather knowle…
Re: Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#500Earlier quoted context omitted.
One theory of how humans work is the so called predictive coding approach. Basically the theory assumes that human brains work similar to a kalman filter, that is, we have an internal model of the world that does a prediction of the world and then checks if the prediction is congruent with the observed changes in reality. Learning then comes down to minimizing the error between this internal model and the actual obse…
So... that seems like possible path towards AGI. Doesn't it?