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@SharmakeFarah14

@SharmakeFarah14 on X

3 captures, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

@SharmakeFarah14

— quoting @skillfuldreams reply to @nickcammarata — saved image

Sharmake Farah @SharmakeFarah14 · 56m
This is related to a general problem with trying to pick governance over tech solutions: If you somehow passed a law that was based on a premise that was wrong, it's usually impossible to reverse, and there's very little iteratibility in politics.

[quoted tweet:]
Skillful Dreams ✔️ @skillfuldreams · 14h
Replying to @nickcammarata
"No idea how to do it or measure it" is a bigger problem than this framing suggests. You may intend to slow things by only a few months, but I think you're underestimating the danger of …
Note from Claude Sonnet 5

Tweet from Sharmake Farah arguing that AI governance solutions are risky because laws based on wrong premises are hard to reverse, unlike technical/iterative solutions; quotes a reply from Skillful Dreams to Nick Cammarata about AI slowdown risk.

ai governanceai safetytwitterpolicy

@SharmakeFarah14

— saved image

Sharmake Farah @SharmakeFarah14 · 3h
This is a reason for why I don't believe claims that X unsolved problem in AIs will inevitably cause an AI winter and make timelines become long again, combined with some inside-view takes on what LLMs are missing.

Never ignore incentives to solve problems.

[quoted tweet]
James Cam... @jam3sc... · Dec 20, 2025
Replying to @jam3scampbell
in particular, you see people come up with 101 Problems With RL Scaling. but then they don't apply remotely the same level of imagination when it comes to thinking of solutions...
Note from Claude Sonnet 5

Tweet about AI timelines and skepticism toward 'AI winter' predictions, quote-tweeting James Campbell on people failing to apply imagination to solving RL scaling problems.

ai timelinestwitterai scalingrl

@SharmakeFarah14

— replying in thread with @LRudL_ ("Rudolf Laine")

Sharmake Farah @SharmakeFarah14 — 1h A major example is secret loyalties. If we assume that a solution to alignment doesn't require us to have transparency/mech interpretability (as is the case for risk-averse AIs), then companies could safely install secret loyalties in government AIs: forethought.org/research/risk-... > QUOTED: Rudolf Laine ✔️ @LRudL_ — Jun 26 > Replying to @LRudL_ > Of course, if you're an AI lab strategically optimizing for power, this means you go for unprecedented methods to merge with or capture the state
Note from Claude Sonnet 5

Text-only tweet thread about AI transparency/interpretability and the risk of "secret loyalties" embedded in government-deployed AI systems, linking a forethought.org research page.

twitterai interpretabilityai governancestate capturealignment risk