Sep 09, 2026

It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners

Kevin Madura introduces Recursive Language Models (RLMs), a paradigm shift where an LLM treats its context as an interactable object within a REPL, rather than mere tokens. This allows for direct computation, recursive decomposition of problems by delegating to sub-models, and significantly mitigates context rot, outperforming traditional RAG, agents, and tool calls. Use cases range from complex data analysis and long document processing to code auditing and harness optimization, hinting at a future where models are natively RLM-aware.

Jul 18, 2026

Your Agents Need a Save Button - Hamza Tahir, ZenML

Most AI agents lack a "save button" for persistent state, making debugging and optimization challenging. This talk introduces the concept of a durable runtime with checkpointing, allowing developers to replay agent executions, perform "what-if" analyses (e.g., swapping models, mocking tools), and conduct cohort-based evaluations using production data. The open-source tool Kitaru is demonstrated as a solution to build, debug, and improve agents at scale by capturing full execution state, not just traces.

Jul 09, 2026

See How Customers Actually Use Your Product

Founders often make the mistake of relying on aggregate user metrics like DAU, which obscure how individuals truly use a product. This video introduces the 'dot plot,' a powerful visualization tool mapping individual user activity over time. It reveals hidden patterns, helps identify retention issues, and pinpoints features driving engagement, offering deeper insights than traditional metrics and proving invaluable for both B2C and B2B product health analysis.