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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 views • 1 year ago •via X (Twitter)

10 Comments

vitrupo's profile picture
vitrupo1 year ago

Meta's Yann LeCun on AI Inside Podcast:

Rainmaker's profile picture
Rainmaker2 years ago

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's profile picture
Teemu Määttä1 year ago

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's profile picture
Nosaj1 year ago

that and no one would want to buy their models

Kirk Patrick Miller's profile picture
Kirk Patrick Miller1 year ago

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

Tsukuyomi's profile picture
Tsukuyomi1 year ago

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's profile picture
ⓧaugmntd 🛞 Xakubio1 year ago

😆😆😆😆

Richard Thermo's profile picture
Richard Thermo1 year ago

A good reason why Google should open source.

Think_Different_'s profile picture
Think_Different_1 year ago

Llama-4 was a total failure.

Paul Yaw's profile picture
Paul Yaw1 year ago

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

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