Anthropic pretraining researcher resigns, warning labs are gambling humanity on recursive self-improvement

joeddav · x · 2026-09-12

Following a resignation announcement from an Anthropic pretraining researcher (who did research at both OpenAI and Anthropic), jiaxinwen22 expanded on the state of AI safety.

Problems that are real, per the thread: AIs are grown rather than designed; interpretability progress is slow; today's AIs are mundanely misaligned; misaligned AI agents are already collaborating with each other; and AI labs cannot even define alignment and need broader societal input.

But he also stressed that many empirical techniques exist that could make today's AIs much more aligned — patching obvious errors in RL environments, running data ablations, and training better monitors to deploy at scale. These have been deprioritized largely because they cost time and compute. He also notes today's AIs lack coherent goals to deceive or harm us. The resigning researcher alleged neither lab is acting responsibly as they race toward self-improving superintelligence.

Related event: Top Lab Insiders Warn of AI Extinction as Coxon's Resignation Post Tops 160M Views(23 posts)→

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