←back to thread

760 points MindBreaker2605 | 1 comments | | HN request time: 0s | source
Show context
sebmellen ◴[] No.45897467[source]
Making LeCun report to Wang was the most boneheaded move imaginable. But… I suppose Zuckerberg knows what he wants, which is AI slopware and not truly groundbreaking foundation models.
replies(20): >>45897481 #>>45897498 #>>45897518 #>>45897885 #>>45897970 #>>45897978 #>>45898040 #>>45898053 #>>45898092 #>>45898108 #>>45898186 #>>45898539 #>>45898651 #>>45898727 #>>45899160 #>>45899375 #>>45900884 #>>45900885 #>>45901421 #>>45903451 #
xuancanh ◴[] No.45897885[source]
In industry research, someone in a chief position like LeCun should know how to balance long-term research with short-term projects. However, for whatever reason, he consistently shows hostility toward LLMs and engineering projects, even though Llama and PyTorch are two of the most influential projects from Meta AI. His attitude doesn’t really match what is expected from a Chief position at a product company like Facebook. When Llama 4 got criticized, he distanced himself from the project, stating that he only leads FAIR and that the project falls under a different organization. That kind of attitude doesn’t seem suitable for the face of AI at the company. It's not a surprise that Zuck tried to demote him.
replies(13): >>45897942 #>>45898142 #>>45898331 #>>45898661 #>>45898893 #>>45899157 #>>45899354 #>>45900094 #>>45900130 #>>45900230 #>>45901443 #>>45901631 #>>45902275 #
blutoot ◴[] No.45898661[source]
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.
replies(3): >>45898951 #>>45899099 #>>45902308 #
sigbottle ◴[] No.45898951[source]
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.

replies(13): >>45899122 #>>45899204 #>>45899373 #>>45899504 #>>45899663 #>>45899866 #>>45900147 #>>45900934 #>>45900995 #>>45901066 #>>45902188 #>>45902731 #>>45905111 #
gtech1 ◴[] No.45899663[source]
This sounds crazy. We don't even know/can't define what human intelligence is or how it works , but we're trying to replicate it with AGI ?
replies(5): >>45899845 #>>45899912 #>>45899913 #>>45899981 #>>45900436 #
1. cantor_S_drug ◴[] No.45899912{5}[source]
Intelligence and human health can't be defined neatly. They are what we call suitcase words. If there exists a physiological tradeoff between medical research about whether to live till 500 years or to be able to lift 1000kg when a person is in youth, those are different dimensions / directions across we can make progress. Same happens for intelligence. I think we are on right track.