1. AI Coding Is a Slot Machine: Loss Disguised as a Win | Jeremy Howard Jeremy Howard, co-founder of fast.ai, on why AI-assisted coding works like a slot machine: you craft the prompt, pull the lever, and the occasional win feels like control. In his w 10/11 17:19 ♡
2. What Most People Get Wrong About Evolution | Akarsh Kumar A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Selection hangs on to parti 10/10 12:31 ♡
3. Life as it could be | Akarsh Kumar on Artificial Life Akarsh Kumar on searching for artificial life with foundation models. Start from something as simple as Conway's Game of Life: "From this super, super simple world, you run this, y 10/08 19:34 ♡
4. Game of Thrones: Turing Edition | Akarsh Kumar on Core War Akarsh Kumar wanted to see what would happen if you used LLMs to evolve small assembly programs that compete against each other. It's called Core War. In his words: "If you just tr 10/08 18:30 ♡
5. The most natural voice agent was a French voice speaking English Shawn Wen of PolyAI on why voice agents should not sound generic. A regional flavour reads as human, and the most natural early voice agent was a French voice speaking English. Tak 10/02 04:09 ♡
6. How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen Tsung-Hsien (Shawn) Wen, CTO of PolyAI, tells Tim Scarfe why voice agents are harder than text agents. Voice adds time, and a good conversation depends on adapting to the person on 10/02 04:00 ♡
7. The Programming Language That Referees Mathematics — Leo de Moura Leonardo de Moura created Lean and co-created Z3. --- This episode is sponsored by Parallel. Parallel, where agents find answers: web search, extraction and deep research APIs buil 09/30 06:38 ♡
8. Why Deep Learning Failed on Tables for a Decade - Frank Hutter Frank Hutter, co-founder of Prior Labs, on why deep learning struggled with tabular data for a decade: tables are messy and heterogeneous, hyped models like TabNet did not generali 09/29 17:50 ♡
9. Reward hacking… or just fixing a bug? #podcast Weco AI's research agent wrote a gigantic monkey patch to their eval script. Reward hacking? No: it was fixing a bug. Zhengyao Jiang (co-founder and CEO, Weco AI) on why it's getti 09/27 10:16 ♡
10. Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiang Weco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fixed. Tim Scarfe asks 09/27 03:32 ♡
