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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 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von vitrupo
vitrupovor 1 Jahr

Meta's Yann LeCun on AI Inside Podcast:

Profilbild von Rainmaker
Rainmakervor 2 Jahren

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%.

Profilbild von Teemu Määttä
Teemu Määttävor 1 Jahr

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?

Profilbild von Nosaj
Nosajvor 1 Jahr

that and no one would want to buy their models

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Kirk Patrick Millervor 1 Jahr

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

Profilbild von Tsukuyomi
Tsukuyomivor 1 Jahr

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.

Profilbild von ⓧaugmntd 🛞 Xakubio
ⓧaugmntd 🛞 Xakubiovor 1 Jahr

😆😆😆😆

Profilbild von Richard Thermo
Richard Thermovor 1 Jahr

A good reason why Google should open source.

Profilbild von Think_Different_
Think_Different_vor 1 Jahr

Llama-4 was a total failure.

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Paul Yawvor 1 Jahr

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

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