Goodfire has launched activation-probe monitors for Baseten customers that read an AI agent’s internal signals at every step and only call an LLM judge when something looks wrong. We break down TechCrunch’s $51 versus $10,000 comparison, Goodfire’s own per-million-turn costs, the Kimi K3 and GLM 5.3 results, FAR.AI’s red-team test and what the numbers do not show yet.
Baseten launched a safety infrastructure standard on 17 September 2026 alongside Base Labs, its research arm, partnering with Hugging Face and Goodfire AI to build evaluation and monitoring infrastructure for open-weight models. The backdrop is abliteration — a weight-level edit that strips a model’s refusal behaviour — and the more than 6,000 abliterated models Hugging Face currently lists. This article covers what each partner contributes, the openness argument Baseten is making, why the serving layer is an unusual venue for a safety obligation, the funding behind both companies, who is missing from the partnership, and the specific signals that would show whether this becomes a standard or stays an announcement.
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