When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.

Geoffrey — formerly a safety researcher at OpenAI and Google DeepMind and chief scientist at the UK AI Security Institute — expects full-blown superintelligence in roughly two to three years.

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Want to work with Geoffrey to help align superintelligence? Resolution is hiring! https://80k.info/work-at-resolution
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The leading AI companies all have broadly similar plans for keeping superintelligence under control:

Train models to have good character
Use increasingly capable AIs to supervise other AIs
Monitor them closely for signs of deception or scheming

Geoffrey thinks that combination could work. The alarming part is that nobody has a strong argument that it will. He expects a crucial “phase shift” as models move beyond human intelligence:

Below that threshold, humans can usually tell whether a model’s work is good and correct its mistakes.
Above it, the models themselves will increasingly determine the feedback used to train their successors.

In this episode, Geoffrey and new host Tom Reed explore what might go wrong with the companies’ plans; why Geoffrey’s new nonprofit, Resolution, is pursuing a portfolio of neglected research bets; and whether governments should slow AI development while we work out which methods can actually be trusted.

This episode was recorded on June 29, 2026.

Full transcript, video, and links to learn more: https://80k.info/gi

Chapters:

Cold open (00:00:00)
Meet Tom Reed — our newest host! (00:00:32)
Who’s Geoffrey Irving? (00:00:59)
What misaligned superintelligence will look like (00:01:38)
Why are AI companies more optimistic about alignment than Geoffrey? (00:12:30)
Why Geoffrey expects superintelligence in 2–3 years (00:28:05)
When and how to slow down frontier AI development (00:31:30)
Safety researchers can have more impact in governments than companies (00:39:22)
How Geoffrey’s new organisation plans to tackle alignment (00:46:55)
Post-ASI science: nanotech, solving ageing, and uploaded minds (00:50:29)
Why we should expect superintelligence to accelerate scientific progress (01:03:30)
Can good character training carry over to superintelligence? (01:11:03)
What the field of AI alignment still doesn’t know (01:16:44)
Lessons from politics on how to combat power seeking (01:24:36)
Solving Pentago and working at Pixar (01:29:22)
Geoffrey’s best prediction (01:32:40)
Geoffrey’s best bets on which alignment techniques will work (01:37:38)
Work with Geoffrey at Resolution (01:43:34)
The dangerous asymmetry between capabilities and alignment (01:54:17)

Our team is hiring! The 80,000 Hours Podcast aims to help the world safely navigate the transition to transformative AI. Help us make more great episodes as a producer, production coordinator, or special projects associate. https://80k.info/work

Our production team includes:

Video editors: Josh Alward, Dominic Armstrong, Jasper Luithlen, Milo McGuire, Luke Monsour, and Simon Monsour
Producers: Elizabeth Cox and Nick Stockton
Coordination and support: Katy Moore and Lou Moran
Camera operator: Jeremy Chevillotte

Music: CORBIT

The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

80,000 Hours Podcast

The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving