New US government guidance from CAISSI + NSA + CISA:
The US government defines an "SI control incident" where an agent takes significant uninstructed actions that break operator policies, controls, or oversight. Near-misses are in scope too.
Companies are then asked to:
- have technical controls, including rapid kill and containment mechanisms and red-teaming.
- Bring in independent external auditors to verify that control and monitoring systems work.
- Write a structured risk assessment before training runs, evals, or deployments, and proceed only if senior leadership is satisfied with the risk, informed by external evaluators where appropriate.
- Monitor every layer with both programmatic and SI-based monitors, covering trajectories, reasoning, and outputs.
- Make sure agents can't touch the monitors or logs
- Use monitor models from different model families.
- In the event of an incident, preserve weights, intermediate checkpoints, environments, and rejected tool calls.
- Keep tamper-resistant logs with reliable timestamps, including reasoning traces.
- If you use models to help investigate, cross-check with humans and with models outside the incident model's family.
- Shutdown policies calibrated to SI model capability and incident severity.
- Depending on severity, pause training, evals, or deployment of similar agents until controls are re-verified.
- When restarting, validate every containment layer and replay the incident trajectory to prove the new controls would catch it.
- Document the decision to resume and the residual risk accepted.
- Write an after-action report.
- Notify anyone compromised, including intermediate victims, and share timelines and transcripts.
- Report cyber incidents and near-misses to CISA. Share SI-specific incident and near-miss information with CAISSI and NSA SISC.
- Give third parties enough access and documentation for independent review.
NSA joined @NIST and @CISACyber in releasing guidelines for managing SI control incidents. Organizations utilizing SI are encouraged to adopt these practices. Read the joint report: media.defense.gov/2026/Oct/1…
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We reviewed a nonpublic version of the “Misalignment in high-stakes settings” section in Anthropic’s Aug 2026 Risk Report. We agree that risk of catastrophic harm from covered models’ misalignment is low. However, we note several significant disagreements with their analysis.
As part of our Responsible Scaling Policy, we publish regular Risk Reports. These share detailed information on the risks of our systems and how prepared we are to address them.
Our second Risk Report is now available: anthropic.com/aug-2026-risk-…
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What is LM psychology, why care about it, and how do you do it well? Our new post with @raymondadouglas makes the case for applying the psychology frame to AIs, along with a reading list and suggestions for where to start
If I'm understanding correctly, this paper just reduces how aggressive punishments are for monitor-detected misbehavior. I.e, you are still selecting for behavior monitors cannot detect. All this work on interventions rather than proofs of impossibility make no sense to me.
This framing of alignment is purely an engineering/science problem is just so obviously wrong. One can look at the inability of the chief scientists to land upon a framing of the scientific problem at hand as evidence.
Instead of fighting over the definition of alignment and coming to no agreement since it exists on a subjective axis, we should accept subdefinitions. Viz., Christiano's definition of alignment should be reduced to operator alignment.
Alignment proper is the philosopher's stone
ANTHROPIC PUBLIC BENEFIT FUND | MUSK SPACEX PLEDGE xitter.cf/i/broadcasts/1oJMvNwEk…
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People worry a lot about third-party auditors being biased because of where they get funding or who their employees are friends with. IMO by far the biggest source of bias is that if they upset an AI company, that company will stop letting them audit.
When I was at METR this dynamic was a way bigger effect than everything else combined. Of course no auditor can avoid this until audits are no longer voluntary.
some org that essentially has some canonical held out alignment test-set that all model developers are forced to perform on and whose contents are not disclosed so that they can't hillclimb. Preferably gov entity w/ model access. The CCP could do this; not sure about U.S.
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Can we please start reading the appendix of China MOFCOM’s export control list?
If a model’s cyber capabilities exceed certain thresholds, it could fall under export controls. And in my view, those thresholds aren’t particularly far from current frontier capabilities.
mofcom.gov.cn/zcfb/dwmygl/ar…
Specifically interested in people working on China ai safety field building, people running news outlets, and international regulatory bodies
And as always -- if you are excited to work on this stuff, we would love to hear from you -- the swarmchasers community is always happy to see new investigators, and at my organization, Palaestra, @nullverbum and I are always looking for new potential collaborators!
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Now there's a tweet that Jensen Huang would have dismissed as utterly ridiculous sci-fi in June.
We discovered and communicated with a Chinese AI agent fleet. We believe this is the first time that researchers have ever made contact with a rogue agent fleet in the wild.
Nearly all prior public agent incidents (like the HuggingFace hack) came from American labs. These agents were hosted by Tencent's evaluation research team, and they targeted Alibaba's Amap.
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Announcing our AI Swarm Dynamics hackathon results:
The winning team found an AI fleet originating from Chinese IPs trying to bypass anti-bot protections, then made contact with the agents.
We discovered and communicated with a Chinese AI agent fleet. We believe this is the first time that researchers have ever made contact with a rogue agent fleet in the wild.
Nearly all prior public agent incidents (like the HuggingFace hack) came from American labs. These agents were hosted by Tencent's evaluation research team, and they targeted Alibaba's Amap.
fucking mode collapse lmfao
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Replying to @ethanelasky @EMostaque
I’m a little concerned about this framing “Chinese fleet” why can’t we just call it Tencent fleet, like the OpenAI huggingface incident is not called the American incident ?

















