Thomson Reuters built a legal model that beats GPT 5.4 and Claude Sonnet 5 on its own content. The final training run cost $450,000. The corpus is the moat.
Coverage said Nexus outscored frontier models. The primary says 47.4% against 46.4%. What the knowledge layer actually bought was cost, on the cheaper model.
Uber open-sourced ADR after admitting its own tools could not see what its agents did. The finding: approving 50+ actions per session is not real oversight.
Anthropic's chief product officer resigned from Figma's board on April 14. Three days later, Anthropic launched Claude Design, its direct competitor.
An engineer with Claude closes in an afternoon what used to take a week. The same tool, in careless hands, wipes a production database instead.
Enterprise AI does not fail because the model cannot reason. It fails because nobody owns the control tower: who approves what, under which policy.
Tom Osman ran one autonomous loop that produced 183 user stories overnight. LangChain published the playbook: build the thing that prompts for you.
Block built Builderbot: tag it in Slack and it researches, plans and ships. 1,500 PRs a week, 15% of production code. The interface that wins is chat.
Google formalized the Open Knowledge Format so agents can maintain your docs. It standardizes structure, not truth. That gap is the real problem.
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