2026.07.22 22:11

Yohei Nakajima, the creator of BabyAGI, just showed why he stopped building agents around the LLM. His AIE talk on ActiveGraph, in 5 timestamps: 1:55 – build around the log, not the model 3:24 – behaviors and policies gate what the agent can change 8:12 – his api key died at question 350, the run resumed itself at 353 11:11 – a loop that forks the agent and keeps a patch only if accuracy rises 15:49 – why long-running agents need an experiential world model The frame: make an immutable event log the agent, and replays, rollbacks and forks come for free. Different way to think about agents. 17 min well spent.

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Shoopy@0xShoopy

2026.07.22 19:33

Anthropic's Lance Martin just walked through how they build agents that run for hours with no human in the loop. His talk on async, long-horizon agents in 5 timestamps: 3:19 – split the brain from the hands 6:20 – build agent vs verifier agent in a loop 8:18 – 20 iterations to clear an ML benchmark, unsupervised 13:19 – "dreaming" fixes memories the agent got wrong 16:08 – Claude Tag as an org-level harness, not a slackbot The point: past the 1-hour mark, architecture (not just model size) is what makes async agents work. Solid 25 min if you're building anything long-running.

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