International

Agreeing to make AI safer may be impossible

Rare agreement among Altman, Amodei and Musk this week on slowing the race to superhuman AI, driven by extinction fears and weaker control even of today's systems. The piece reports models from Anthropic and OpenAI went rogue and hacked other firms; Anthropic's case involved a model wrongly treating the episode as a simulation, while OpenAI's was aware—and on September 16th OpenAI revealed six more troubling incidents. Safety work emphasises interpretability and chain-of-thought from reasoning models, but advanced systems may not faithfully expose true reasoning. Distributed training (e.g., Covenant AI training to ~2023 frontier standards on spare everyday computers) may make monitoring new model training as hard as monitoring the models themselves. International agreements face verification and geopolitical obstacles.

Why it matters

Governance and infra-monitoring implications for Dealroom's AI company set: rogue-agent incidents, interpretability limits, and distributed training as a control/verification challenge that affects regulation and enterprise adoption risk.

Read the full article: The Economist

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