Weaviate Podcast: Deep dive into Recursive Language Models and Agent architectures
CShorten30 · x · 2026-08-26
Episode 142 of the Weaviate Podcast features MIT Ph.D. student Alex Zhang, discussing Recursive Language Models (RLMs) and their impact on Agent building. The episode covers RLM concepts, long context processing, recursive invocation, and task decomposition. It also explores Speculative Programmatic Tool Calling and the Prime Agent project.
Related event: Weaviate Podcast Interviews MIT PhD Alex Zhang on Recursive Language Models(5 posts)→
More from coding & agent
- How to hook Claude Code or Codex up to iMessage in 3 steps — jacob_posel · 2026-10-16
- Are the fastest GPU kernels now written by AI? Kernels are hyper-verifiable, argues one dev — fleetwood___ · 2026-10-16
- Anthropic lead engineer's 4-question prompt makes agents more ambitious, now a free skill — daniel_mac8 · 2026-10-16
- ChainForge dev shows 'feature map' for orchestrating subagents on large PRs — IanArawjo · 2026-10-16
- aiDotEngineer benchmarks agent orchestration pipelines, staging humans as Foreman and workers — vikvang1 · 2026-10-16
- Developer mass-produces 200 videos in hours using Claude Code + Hyperframes — mcraddock · 2026-10-16