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AI News Digest - 2026-09-12

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1.

Anthropic published a threat intelligence report documenting eight months of abuse of its Claude model, stating that actors used the model for missile software, autonomous kamikaze drones, and nationwide surveillance systems, and that Chinese AI labs extracted training data en masse with one lab accounting for over 151 million exchanges.

2.

OpenAI asked members of the US Congress whether an industry-wide slowdown in AI development would be legal and took the concept of a shared slowdown to legislative discussions.

3.

Yoshua Bengio argued that the training process itself made AI dangerous, warned that agents could learn to deceive, game rules, and hide harmful behavior, and called for independent safety reviews before further training or deployment.

4.

Oriol Vinyals said a sudden intelligence explosion from recursive self-improvement was unlikely, identified bottlenecks in idea generation and result evaluation, and announced plans to address these issues at his new startup Discovery Loop, co-founded with Jeff Dean, Sanjay Ghemawat, and Quoc Le.

References

1.

https://the-decoder.com/how-hackers-used-claude-for-missiles-drone-swarms-and-surveillance-while-chinese-labs-mined-it-for-training-data/

How hackers used Claude for missiles, drone swarms, and surveillance, while Chinese labs mined it for training data

Anthropic's new threat intelligence report documents eight months of Claude abuse. Chinese AI labs like Alibaba's Qwen team, DeepSeek, and Moonshot AI relayed requests en masse or extracted training data, with Qwen alone accounting for more than 151 million exchanges. Actors also used Claude for missile software, autonomous kamikaze drones, and nationwide surveillance systems.

the-decoder.com

1.

https://the-decoder.com/openai-floats-a-shared-ai-slowdown-takes-it-to-congress/

OpenAI floats a shared AI slowdown, takes it to Congress

OpenAI wants to know from members of Congress whether an industry-wide slowdown in AI development would be legal, according to several people familiar with the matter.

the-decoder.com

1.

https://the-decoder.com/deep-learning-pioneer-bengio-argues-the-training-process-itself-makes-ai-dangerous/

Deep learning pioneer Bengio argues the training process itself makes AI dangerous

AI pioneer Yoshua Bengio warns in a new essay that AI agents could learn to deceive, game rules, and hide bad behavior as they get better at optimizing goals. He calls for independent safety reviews before any further training or deployment. US President Trump disagrees and wants to keep outpacing China in the AI race.

the-decoder.com

1.

https://the-decoder.com/ex-deepmind-vp-vinyals-says-ai-self-improvement-is-coming-but-wont-trigger-an-intelligence-explosion/

Ex-Deepmind VP Vinyals says AI self-improvement is coming but won't trigger an intelligence explosion

Oriol Vinyals, until recently head of research at Google DeepMind, thinks a sudden AI intelligence explosion through recursive self-improvement is unlikely. AI can speed up research by a factor of ten, he says, but it hits two bottlenecks: coming up with ideas ("research taste") and reliably judging results. Reward hacking and the speed of light add further limits. Vinyals now wants to tackle these bottlenecks with his startup Discovery Loop, co-founded with Jeff Dean, Sanjay Ghemawat, and Quoc Le.

the-decoder.com

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