How Meta Won Open Source AI, Then Threw It Away
In 2023, Meta did something no other AI lab had the guts to do. They gave a frontier model away for free. Two years and a billion downloads later, they destroyed the trust they'd built in a single weekend. This is the story of Llama.
🔗 LINKS / SOURCES
Yann LeCun's Financial Times interview:
https://www.ft.com/content/e3c4c2f6-4ea7-4adf-b945-e58495f836c2
Free summary of the FT interview:
https://the-decoder.com/you-certainly-dont-tell-a-researcher-like-me-what-to-do-says-lecun-as-he-exits-meta-for-his-own-startup/
Nathan Lambert's breakdown of the Llama 4 release:
https://www.interconnects.ai/p/llama-4
DeepSeek V3 Technical Report:
https://arxiv.org/abs/2412.19437
Original LLaMA paper (Touvron et al., Feb 2023):
https://arxiv.org/abs/2302.13971
Aider polyglot benchmark leaderboard:
https://aider.chat/docs/leaderboards/
Aider polyglot benchmark writeup:
https://aider.chat/2024/12/21/polyglot.html
OpenAI gpt-oss announcement:
https://openai.com/index/introducing-gpt-oss/
TechCrunch on the unmodified Maverick ranking #32 on LM Arena:
https://techcrunch.com/2025/04/11/metas-vanilla-maverick-ai-model-ranks-below-rivals-on-a-popular-chat-benchmark/
Meta's official Llama 4 launch post:
https://ai.meta.com/blog/llama-4-multimodal-intelligence/
🔗 Links:
MY 12K+ DISCORD 💬 https://discord.gg/GkrFX4zT2C
CONNECT WITH ME ON SOCIAL
📸 Instagram: https://instagram.com/lewismenelaws
🎚TikTok:https://tiktok.com/@lewismenelaws
🐣 Twitter: https://twitter.com/LewisMenelaws
My gear 💻 https://liinks.co/lewismenelaws
⏱️ CHAPTERS
00:00 The model that broke the rules
00:59 Early 2023: the closed-AI consensus
02:17 LLaMA 1 leaks to 4chan
03:18 Llama 2 goes properly open
04:17 Llama 3 and 3.1 become the open-source default
05:50 DeepSeek changes the math
07:22 The pressure to ship Llama 4
08:21 Enter Yann LeCun (and Alex Wang)
09:24 Saturday, April 5, 2025 — Llama 4 drops
10:38 The community finds the cracks
12:10 The LM Arena submission
13:02 The benchmark-blending allegations
13:42
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: LLM Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Moonshot AI and the Rise of Beijing’s Open-Source Frontier: What a $20B Valuation Signals for…
Medium · LLM
How AI Models are making UI obsolete
Medium · LLM
“LLMs Do Not Remember Anything”: They only process the context we give them.
Dev.to AI
Why My Coding Assistant Started Replying in Korean When I Typed Chinese
Towards Data Science
Chapters (12)
The model that broke the rules
0:59
Early 2023: the closed-AI consensus
2:17
LLaMA 1 leaks to 4chan
3:18
Llama 2 goes properly open
4:17
Llama 3 and 3.1 become the open-source default
5:50
DeepSeek changes the math
7:22
The pressure to ship Llama 4
8:21
Enter Yann LeCun (and Alex Wang)
9:24
Saturday, April 5, 2025 — Llama 4 drops
10:38
The community finds the cracks
12:10
The LM Arena submission
13:02
The benchmark-blending allegations
🎓
Tutor Explanation
DeepCamp AI