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789 points MindBreaker2605 | 3 comments | | HN request time: 0.705s | source
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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.
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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.
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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.
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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.

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1. sllabres ◴[] No.45899628[source]
If you are (obviously) interested in the matter you might find one of the Bell Labs articles discussed on HN:

"Why Bell Labs Worked" [1]

"The Influence of Bell Labs" [2]

"Bringing back the golden days of Bell Labs" [3]

"Remembering Bell Labs as legendary idea factory prepares to leave N.J. home" [4] or

"Innovation and the Bell Labs Miracle" [5]

interesting too.

[1] https://news.ycombinator.com/item?id=43957010 [2] https://news.ycombinator.com/item?id=42275944 [3] https://news.ycombinator.com/item?id=32352584 [4] https://news.ycombinator.com/item?id=39077867 [5] https://news.ycombinator.com/item?id=3635489

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2. anotherd1p ◴[] No.45899954[source]
I always take a bird's eye kind of view on things like that, because however close I get, it always loops around to make no sense.

> is massively monopolistic and have unbounded discretionary research budget

that is the case for most megacorps. if you look at all the financial instruments.

modern monopolies are not equal to single corporation domination. modern monopolies are portfolios who do business using the same methods and strategies.

the problem is that private interests strive mostly for control, not money or progress. if they have to spend a lot of money to stay in control of (their (share of the)) segments, they will do that, which is why stuff like the current graph of investments of, by and for AI companies and the industries works.

A modern equivalent and "breadth" of a Bell Labs (et. al) kind of R&D speed could not be controlled and would 100% result in actual Artificial Intelligence vs all those white labelababbebel (sry) AI toys we get now.

Post WW I and II "business psychology" have build a culture that cannot thrive in a free world (free as in undisturbed and left to all devices available) for a variety of reasons, but mostly because of elements with a medieval/dark-age kind of aggressive tendency to come to power and maintain it that way.

In other words: not having a Bell Labs kind of setup anymore ensures that the variety of approaches taken on large scales aka industry-wide or systemic, remains narrow enough.

3. mysfi ◴[] No.45901536[source]
I became interested in the matter reading this thread and vaguely remember reading a couple of the articles. Saved them all in NotebookLM to get an audio overview and to read later. Thanks!