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> This is in the hands of large companies, there's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.
by talldayo 2y ago
> This is in the hands of large companies, there's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.
Translation: "Buy more API tokens!"
- user90131313 2y agoHe also lies and gives wrong information on twitter about other companies. So not a honest or good person. No point listening to whatever he say.
- talldayo 2y agoI frankly don't even know what Twitter is for anymore, if not abusing the augur of public consciousness.
- Jyaif 2y agoI don't know what you are referring to, but isn't he right about LLMs?
- user90131313 2y agohttps://x.com/ylecun/status/1742563244949078369 https://x.com/ylecun/status/1742563244949078369 This one. He deliberately writes wrong information. Even he is right in the future, 0 reason to follow his word.
- em-bee 2y agocan't access that message. please quote it.
- user90131313 2y ago"A number of reasons: 1. Google had 600 employees and no revenue at the time (this was January 2002, before ads, gmail, etc). You can't really do real research at that stage. My job would have involved a lot of corporate strategy, technology development for products, management, etc. I wanted to refocus on basic research in ML, vision, robotics, and computational neuroscience. 2. The salary was low. Obviously, the stock option package would have ended up stratospheric. But we had teenage sons getting close to college and needed cash. Housing is more expensive in Silicon Valley than in New Jersey. 3. My family didn't want to move to California. You can't uproot teenagers without them hating you for it. 4. I had just left AT&T and joined the NEC Research Institute in Princeton. I thought I could work on ML/vision/robotics/neuroscience there. It turns out the place was quickly disintegrating into an applied research lab and I left for NYU after 18 months. Had I joined, I think the research culture at Google would have been different. I might have made it a bit more open and a bit more ambitious a bit earlier. "
- thangngoc89 2y agoI believe this is quite correct. You need the whole WWW internet for training and GPU farms to train this.
- CuriouslyC 2y agoOr download the weights and run it yourself?
- qntty 2y agoLaCun works for Meta who gives away models for free
- otabdeveloper4 2y agoThey do not. A model is the training set plus feature engineering scripts, not the resulting weights.
- lofenfew 2y agoIf you're interested in building the next generation of that model, sure. If you just want to use it the weights are sufficient.
- otabdeveloper4 2y agoI quibble with the terminology. Meta doesn't "give away" their model. They only let you run it for free. (They don't "give away" Facebook either, they only let you use it for free.)
- qntty 2y agoWhatever terminology you use, it can be run without API tokens.
- jaggs 2y agoI genuinely would like to know what your full definition of a model is? There seems be to so much confusion...
- otabdeveloper4 2y ago"An abstract description of a concrete system using mathematical concepts and language", at least according to Wikipedia.