Llama 4
part of Llama includes Llama 4 Maverick
1 statements across 1 episodes · 0 bullish · 1 bearish · 1 people on the record · first statement Aug 29, 2025 by Ari Morcos · said 28 times in 18 episodes since 2024 · across every show →
Mentions by year, the whole family
brought up most by Shawn Wang (11), Varun Mohan (2), Ari Morcos (2), William Beauchamp (1), Stephanie Palazzolo (1), Soumith Chintala (1), Pratik Bhavsar (1), Kyle Kranen (1)
tap a year for its mentions
2026 2 mentions in 2 episodes 1 per episode
2025 15 mentions in 10 episodes 2 per episode
- Better Data is All You Need — Ari Morcos, Datology
- SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
- The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- 🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo
- Information Theory for Language Models: Jack Morris
- 2 more episodes that year, every mention in 2025 →
2024 11 mentions in 6 episodes 2 per episode
- Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- Production AI Engineering starts with Evals
- Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
- Windsurf: The Enterprise AI IDE
- Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- The State of AI in production — with David Hsu of Retool
- every mention in 2024, scene by scene →
Everything said about Llama 4, oldest first
Aug 29, 2025 bearish
Morcos: GPT-4.5 and Llama 4 show limits of naive mega-model scaling
“And I think that's what we've seen to some extent with the failure of the mega models, right? With 4.5 and Lama four and others. I think that there is a challenge of just continuing to do that naively and you have to figure out how to break it.”