GPT-5
includes GPT 5 Codex, GPT 5 Pro
8 statements across 7 episodes · 7 bullish · 1 bearish · 7 people on the record · first statement Nov 3, 2023 by Michael Royzen · said 139 times in 48 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Shawn Wang (29), Alessio Fanelli (8), Quentin Anthony (6), Josh McGrath (6), Alex Lupsasca (6), Will Bryk (4), Greg Brockman (4), Kevin Weil (3)
2026 28 mentions in 13 episodes 2 per episode
- 🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
- Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
- Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)
- The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
- 5 more episodes that year, every mention in 2026 →
2025 99 mentions in 27 episodes 4 per episode
- Greg Brockman on OpenAI's Road to AGI
- How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI
- [State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI
- ⚡️Traversal: Causal ML and Reinforcement Learning
- Amp: The Emperor Has No Clothes
- Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
- 19 more episodes that year, every mention in 2025 →
2024 4 mentions in 3 episodes 1 per episode
2023 8 mentions in 5 episodes 2 per episode
- The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- The End of Finetuning — with Jeremy Howard of Fast.ai
- RAG is a hack - with Jerry Liu of LlamaIndex
- every mention in 2023, scene by scene →