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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.

vitrupo

28,023 subscribers

82,825 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля vitrupo

vitrupo1 год назад

Meta's Yann LeCun on AI Inside Podcast:

Фото профиля Rainmaker

Rainmaker2 лет назад

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%.

Фото профиля Teemu Määttä

Teemu Määttä1 год назад

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?

Фото профиля Nosaj

Nosaj1 год назад

that and no one would want to buy their models

Фото профиля Kirk Patrick Miller

Kirk Patrick Miller1 год назад

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

Фото профиля Tsukuyomi

Tsukuyomi1 год назад

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.

Фото профиля ⓧaugmntd 🛞 Xakubio

ⓧaugmntd 🛞 Xakubio1 год назад

😆😆😆😆

Фото профиля Richard Thermo

Richard Thermo1 год назад

A good reason why Google should open source.

Фото профиля Think_Different_

Think_Different_1 год назад

Llama-4 was a total failure.

Фото профиля Paul Yaw

Paul Yaw1 год назад

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

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