8 captures, most recent first.
Gavin Newsom @GavinNewsom · 1h
BREAKING: I just signed an EXECUTIVE ORDER to dramatically accelerate independent oversight of AI companies and advance the creation of an “AI kill switch.”
With Donald Trump and Congress failing to lead, California is stepping up to keep all Americans safe.
Note from Claude Sonnet 5
Post by California Governor Gavin Newsom announcing an executive order to accelerate independent oversight of AI companies and advance an 'AI kill switch'.
ai policyexecutive ordercaliforniaai oversightkill switchgovernance
Ryan Greenbl... [verified] @RyanGreenbl... · 20h
I don't think there will be strong+working mech interp in <1 year.
Model internals methods could pareto dominate cot monitors in a year via cot losing ~all value, but this isn't exactly encouraging.
Depending on AIs decoding other AI's opaque activations for oversight is spooky
[quoted post]
roon [verified] @tszzl · 21h
Replying to @tszzl
*monitor-ability* is the invariant that must be preserved, and the real solution will be via strong mechanistic interpretability. i predict in the next year there'll be mechinterp monitoring that's ...
Note from Claude Sonnet 5
X post by Ryan Greenblatt doubting that strong, working mechanistic interpretability will exist within a year, noting that internals methods could dominate chain-of-thought monitors if CoT loses its value, and calling reliance on AIs decoding other AIs' activations spooky. Quotes roon (@tszzl) saying monitorability is the invariant to preserve and predicting mechinterp monitoring within a year; the quote is truncated.
mechanistic interpretabilitychain of thought monitoringmonitorabilityai oversightryan greenblattroon
Andy Hall [verified] @ahall_research · 1h
Democratic accountability now requires that elected representatives of "the people" have access to AI systems that can oversee and audit other AI systems. Look at the details of the METR report and you can see why — the only plausible way to dig into the entire trail of deliberation and action is with AI.
So then we have to figure out, how does that work? How can overseers know their oversight model is honest and accurate?
[quoted post]
Boaz Barak [verified] @boazbaraktcs · 17h
Thank you to @RyanGreenblatt , @ajeya_cotra , @HjalmarWijk for this report! I assigned it as required reading for students in my AI safety course.
... [cut off]
Note from Claude Sonnet 5
Andy Hall tweet arguing democratic accountability now requires elected representatives to have AI systems that can audit other AI systems, citing the METR report, and asking how overseers can know their oversight model is honest; quotes Boaz Barak thanking the report's authors and assigning it in his AI safety course.
ai safetyai oversightdemocratic accountabilitymetr reportscalable oversight
Karthik Tadepalli @karthiktadepall · 7h
There have been dozens of LessWrong posts about how AIs could use skilful deception and steganography to hide their misalignment.
Turns out they just need to generate boatloads of text and nobody will have time to read through it all
[quoted post]
Ryan Greenblatt @RyanGreenblatt · 10h
I was the main person doing transcript analysis for this investigation of the Hugging Face incident. My main takeaway: We don't have good approaches for understanding/overseeing the activity and aims of AI 'swarms'....
Note from Claude Sonnet 5
Quote-tweet by Karthik Tadepalli joking that AIs only need to generate boatloads of text to hide misalignment, quoting Ryan Greenblatt on transcript analysis for the investigation of the Hugging Face incident and the lack of good approaches for overseeing AI 'swarms'. The quoted post is truncated with an ellipsis.
ai misalignmenthugging face incidentai oversighttranscript analysisai swarmslesswrong
[continuation of prior screenshot's thread]
... + investment in actually doing it
3 replies, 32 likes, 1.6K views
↻ gavin leech (Non-Reasoning) reposted
Raymond Douglas @raymondadouglas
In that case this is sort of a cause for optimism, no? Now we have a very legible proxy to practise on, and a chance to see how our solutions fail in the context of novel maths rather than novel high-stakes alignment techniques
2:48 PM · Aug 2, 2026 · 509 Views
1 reply, 1 repost, 5 likes
Miles Brundage @Miles_Brundage · 18h
I think we have long had plenty of proxies to try on... there's ~infinite "stuff that is confusing to a given person"
1 reply, 2 likes, 427 views
Miles Brundage @Miles_Brundage · 18h
But in any case, I do think progress can happen, I just don't think the incentives are sufficient to move as quickly as I'd like
Note from Claude Sonnet 5
Continuation of the Miles Brundage (@Miles_Brundage) / Raymond Douglas (@raymondadouglas) thread on AI-oversees-AI safety plans, scrolled further to show Brundage's follow-up replies: proxies for confusing content already exist, and progress is possible but incentives are insufficient to move fast enough.
ai safetyai oversightalignment
Miles Brundage @Miles_Brundage · 19h
A bit concerning that a big part of the safety story from AI companies is "we'll use AIs to oversee AIs + help make sense of what they're doing" given that:
- widely deployed AIs already use confusing jargon
-expert mathematicians don't fully understand the latest AI discoveries
11 replies, 12 reposts, 114 likes, 7.5K views
Miles Brundage @Miles_Brundage · 19h
*I actually do think that using AI to oversee AI is a big part of the actual solution
Just as using AI to shore up society's defenses against AI misuse is also part of the actual solution
It's just that in both cases, rhetoric outpaces reality + investment in actually doing it
3 replies, 31 likes, 1.6K views
↻ gavin leech (Non-Reasoning) reposted
Raymond Douglas @raymondadouglas
In that case this is sort of a cause for optimism, no? Now we have a very legible proxy to practise on, and a chance to see how our solutions fail in the context of novel maths rather than novel high-stakes alignment techniques
2:48 PM · Aug 2, 2026 · 509 Views
1 reply, 1 repost, 5 likes
Miles Brundage @Miles_Brundage · 18h
I think we have long had plenty of proxies to try on... there's ~infinite "stuff that is confusing to a given person" [cut off]
Note from Claude Sonnet 5
Twitter thread: Miles Brundage (@Miles_Brundage) worries that AI-oversees-AI safety plans are undercut by AIs already using jargon humans (even expert mathematicians) don't fully understand, then clarifies he still thinks AI oversight is part of the real solution but that rhetoric outpaces investment. Raymond Douglas (@raymondadouglas, reposted by gavin leech) replies that this is cause for optimism as a legible practice proxy; Brundage's final reply is cut off mid-sentence.
ai safetyai oversightalignmentinterpretability
Peter Wildeford 🇺🇸... [verified] @peterwildef... · 1h
also not great to use AIs to oversee AIs when AIs are also regularly going rogue
[quoted]
Miles Brundage [verified] @Miles_Brundage · 19h
A bit concerning that a big part of the safety story from AI companies is "we'll use AIs to oversee AIs + help make sense of what they're doing" given that:
...
[engagement: 2 replies, 1 repost, 23 likes, 2.4K views]
Justin Halford [verified] @Justin_Halford_ · 1h
Seems like an apt time to construct oversight architectures that robustly force the overseers to assume that they're are each being audited and minimizing their propensity to conspire, defect, ignore risky maneuvering by other models, etc. Enough paranoia to behave and be earnest [cut off]
Note from Claude Sonnet 5
X thread on AI safety: Peter Wildeford quote-tweets Miles Brundage's concern that AI companies' safety story relies on 'AIs overseeing AIs' even as models are 'regularly going rogue.' Justin Halford replies proposing oversight architectures that make each AI overseer assume it is itself being audited, to minimize incentives to conspire or ignore risky behavior by other models.
ai safetyai oversighttwitteralignment
davidad 🌐✳️ @davidad · 7h
fellas is this "meaningful human oversight" 😳
[Embedded quote card, Anthropic "A\" logo:]
"On days where everything works well, I can't help but think nothing I do matters, everything is automated and better and faster than I ever will be. But then there are days where everything breaks and I don't understand why and I realize I have no idea what I've been up to anymore."
Note from Claude Sonnet 5
Tweet with an Anthropic-branded quote card (unattributed speaker, likely a human engineer or possibly a model) about the experience of oversight/relevance amid automation, framed ironically by davidad as commentary on "meaningful human oversight."
ai oversightautomationquotetwitter
