Open Source AI is the Path Forward

Key ideas

Zuckerberg argues open-source AI will follow Linux's path, explaining why releasing Llama suits developers and Meta's business, and why he thinks it is safer for the world.

1. 1

   Avoid building on someone else's terms

   Zuckerberg writes that being limited by what Apple allows on its platforms shaped his thinking, citing its fees, rules and blocked products. He says this is a major reason he believes in open ecosystems for the next generation of computing. He reports hearing the same worry from organizations that do not want a closed provider to change terms or stop serving them.

2. 2

   Give away what you don't sell

   Zuckerberg answers the worry about losing a technical edge by pointing out that Meta does not earn its money from selling model access, so releasing Llama does not undercut its revenue. He adds that he expects competition to stay close enough that one open model gives little away. He says this also separates Meta from closed providers, whose revenue would be undercut.

3. 3

   An open standard needs other users

   Zuckerberg argues that Llama only becomes a full ecosystem of tools and optimizations if companies beyond Meta use it, otherwise it would fare no better than closed Unix variants. He cites Meta's past open designs and tools as having paid back when it stuck with them over the long term. He says earlier Llama releases did not focus on this, so Meta is now building teams and partnerships for it.

4. 4

   Read the future from past platforms

   Zuckerberg opens with Unix and Linux: closed versions seemed unbeatable, then the open one won first on flexibility and price, and later on capability. He says he believes AI will develop in a similar way, and predicts the Llama 3.1 release will be an inflection point. These are his forecasts, written while announcing Meta's own product.

5. 5

   Why he says open serves the world

   Zuckerberg says open source spreads AI's benefits and keeps power from concentrating, and that open systems can be more widely scrutinized, which he expects to help with unintentional harm. On intentional harm, he argues that broad deployment lets larger institutions check smaller bad actors. He also argues that closing models would not keep them from states like China, and says a closed-only world seems most likely to leave startups and universities missing out.

In Mark’s words

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