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Yann LeCun explains why Meta open-sources its models: they don't need to sell them. Unlike closed AI labs, Meta's revenue comes from products built on top - ads, engagement, network effects. The more open the model, the stronger the moat.

82,825 次观看 • 1 年前 •via X (Twitter)

10 条评论

vitrupo 的头像
vitrupo1 年前

Meta's Yann LeCun on AI Inside Podcast:

Rainmaker 的头像
Rainmaker2 年前

Which Machine Learning model delivers stronger trading results? Check out this free Substack post where I compare several powerful models that beat the market and show yearly returns of over 20%.

Teemu Määttä 的头像
Teemu Määttä1 年前

DeepSeek is better example of a company open sourcing, because it is actually open source. How a model can be open source, yet not openly available in EU?

Nosaj 的头像
Nosaj1 年前

that and no one would want to buy their models

Kirk Patrick Miller 的头像
Kirk Patrick Miller1 年前

I don’t like him. Maybe he can explain why META has to fudge data. •

Tsukuyomi 的头像
Tsukuyomi1 年前

open-source models? sounds like a way to keep the competition in the dark. meta's playing chess while others are stuck at checkers. let's hope that moat isn't just a fancy name for a sinking ship.

ⓧaugmntd 🛞 Xakubio 的头像
ⓧaugmntd 🛞 Xakubio1 年前

😆😆😆😆

Richard Thermo 的头像
Richard Thermo1 年前

A good reason why Google should open source.

Think_Different_ 的头像
Think_Different_1 年前

Llama-4 was a total failure.

Paul Yaw 的头像
Paul Yaw1 年前

I prefer the way that I'm treated when I'm the customer, not the bait.

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