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Xiaomi's MiMo-V2.6-Pro arrives as the top open-weights model on a reported $3M training run. The number matters more than the benchmark: frontier open models are becoming a manufactured commodity, and the cost floor for agent labor just dropped.
The industry spent decades mocking lines of code as a productivity measure. Coding agents quietly changed the math, and it's worth understanding why before you dismiss the number again.
Simon Willison shipped condense-json 1.0 to shrink the SQLite logs his LLM tool generates. The unglamorous release is a signal about where the token era's costs actually accumulate: not in the model call, but in everything you keep afterward.
OpenAI killed the model picker to simplify AI, then shipped extra options that confuse people anyway. The lesson for agent operators: the routing layer is the new control surface, and hiding it doesn't make it disappear.
A minor Langfuse release adds the ability to delete evaluators across UI, API, and MCP. The unglamorous feature signals where the agent observability market actually sits on the evolution curve.
