Most powerful open-source AI model
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Yes, you can automate about 80% of your newsletter: n8n triggers, Claude drafts, and the Beehiiv MCP writes the draft while you keep the publish gate. Full pipeline, setup, and costs inside.
A module-by-module map of Intrinsic Core, the industrial robotics stack Alphabet just open-sourced under Apache 2.0: what ships free (k3s runtime, ICON control, FoundationPose perception, a CNC tending app), what stays paid, and the true setup cost before you adopt it.
Opus 5.5 and GPT-6 Sol charge the same $0.20 per million cached tokens where agent loops spend most of their money. Sol halves Opus 5.5 on input and output; GPT-6 Luna undercuts both by 20x on cache reads.
StepFun's Step 5 Preview is a 600B-total/27B-active sparse MoE coding model with 1M-token context and a live API at $1.00/$2.70 per M tokens plus a 95% cache discount. Independently measured at AA index 44; open weights promised October 15, no license named yet. Here is what is verified, what is vendor-reported, and what it really costs per coding-agent task.
