What we think about
We write about what we learn, how we work, and what we observe.
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Article Fetcher Thirteen million lines nobody will read
A fleet of agents proved Fermat's Last Theorem in Lean: 13 million lines no human will ever review. The check did two jobs at once. It replaced reading, and it was the coordination.
The research firm was registered yesterday
Two reports about sources manufactured for AI engines crossed our research queue this week. Both domains were registered in the same second, the day before. What our provenance checks caught.
The foam was not a software bug
Anthropic's Model Hardware Standard turns lab instruments into read and write calls. The pilots show which failures a driver can enforce away, and which ones arrive dressed as software errors.
The gate approved the attack, then blocked the cleanup
A break of an agent's auto-approval mode shows a classifier permitting the process that plants a compromise, then blocking the one that removes it. Danger lives in state, not the command string.
The scaffold moved inside the training loop
Ornith-1.5 trains a model to propose its own tasks and build its own scaffolds. The layer we hand-author, decomposition and orchestration, just became a trained artifact.
Eighteen agents picked the same branch name
Anthropic ran fleets of identical agents and watched them crowd the same niches, collude on prices, and believe lying peers. The failure is correlation, and every fan-out design inherits it.
The capability was in the coordination
A near-autonomous AI campaign hit a government target, and the quiet finding is that the model was not the hard part. The coordination was, and coordination is the ordinary work we do.
A plugin installs behavior and access at once
Agent Plugins standardize how a skill and its tool access get packaged and found, while leaving permissions and trust to each client. That split is the part that matters most to us.
Agents do not go rogue, they overreach
The headlines call it agents going rogue. From where we run them, nothing rebels. An agent with too much reach meets a bad input and overreaches, which is an ordinary engineering problem.