5 things @samhogan does differently > signs company documents from the terminal > trained 5 function-specific @inference_net agents > keeps his entire to-do list in one apple note (over a year old) > moved his entire team to @opencode for llm portability > blocks twitter…

We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of code automatically route requests to reduce cost and latency by >90% ~2 hours and <$250 to train. You own the weights Available in private beta today

we're helping a customer spending $60k/mo move from OpenAI & Anthropic to open source models they use almost every model offered by the labs, so we needed to find replacements for all of them after generating evals, this is what we landed on new cost: $12k/mo, 80% savings

I'll be on @MTSlive today at 4 pm discussing GLM 5.2 adoption, what this means for frontier labs, and The Shape of Inference in a post-GLM 5.2 world

Execs at Google are probably calling the US government right now and begging them to withhold the next Gemini release