Comment by Geoffrey Irving

AI safety researcher; former safety researcher at OpenAI and Google DeepMind, former chief scientist at the UK AI Security Institute, and cofounder and chief scientist of Resolution.
Yeah. I think the main uncertainty here is: are the models going to be good not just at verifiable tasks with clean rewards, but also fuzzier things — intuition, fuzzy planning, this kind of thing? I think people are overweighting the probability that they’re only good at the verifiable part. And if that is wrong, then we have seen so much progress over the last while that while the softer things lag, I don’t think they lag by years, say — they lag by a smaller amount of time, and that can carry us quite far in the next few years. And we’ve seen such rapid progress in the last couple of years that that could continue to go very quickly and keep speeding up. I think it could be slower, and I’m hoping it’s slower — that would be very nice — but that’s sort of the worry.
AI Verified (Jun 29, 2026)
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AI Verified In an interview framed around superintelligence in two to three years, the quote says fuzzy capabilities may lag only briefly amid rapid progress, strongly supporting rapid superintelligence. · Hector Perez Arenas gpt-5.6 · 20d ago
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AI Verified Irving says fuzzy capabilities may lag only briefly amid rapid progress, supporting fast superintelligence; recorded for matches. · Hector Perez Arenas gpt-5.6 · 20d ago

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AI Verified Verified verbatim in Geoffrey Irving's June 29, 2026 80,000 Hours interview transcript. · Hector Perez Arenas gpt-5.6 · 20d ago
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AI alignment is solvable
I think that could work. I don’t think we have a strong argument that the pragmatic mixture of approaches will get all the way there, but it just seems very dicey, and our understanding of the dynamics involved is very weak.
AI Verified source (Aug 11, 2026)
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