Okay - who wants to write the meta-learning paper: The Illusion of Thinking of Thinking? Only half joking.

As Shunyu Yao recently wrote, the second half of AI will be dominated by automatically *creating* problems. Honoured to have helped advise Alex Havrilla in starting to address that challenge, leveraging QD algorithms. Hints of recursive self-improvement too if you look carefully!

Human ideation beats AI ideation when measured on execution outcomes: arxiv.org/abs/2506.20803. There's a clear path to fixing this - work to be done!

2025 is the year of open-endedness!

Well said. Let's build a society where open-ended knowledge creation, not the raw popularity of content, drives value.

New position paper! Machine Learning Conferences Should Establish a “Refutations and Critiques” Track Joint w/ Sanmi Koyejo Joshua Kazdan Yegor Denisov-Blanch Francesco Orabona Koustuv Sinha Jessica Zosa Forde Jesse Dodge Susan Zhang Brando Miranda Matthias Gerstgrasser isha Elyas Obbad 1/6

Excellent open-ended work!

Wow - a much more intriguing interweaving of mathematics, music and ritual than I have ever managed! What a wonderful way to combine these passions - we should start a London chapter.

Our benchmarks test knowledge and skill, but what matters is exploration and discovery. Same disconnect is true for our education system.

I worry that so much discussion of AI risks and alignment overlooks the rather large elephant in the room: creativity and open-endedness. Policy makers and gatekeepers need to understand two competing forces that no one seems to talk about: (1) there is a massive economic

Whatever happens in the future of AI, I think it is unlikely that the skill of breaking down big problems into smaller, solvable pieces will ever become obsolete

We’re training AI on everything that we know, but what about things that we don’t know? At #ICML2025, the EXAIT Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data. This shortcut

Societally beneficial social media would promote humility over boastfulness.

Hard to believe it was only a year ago that we announced Genie 1 at ICML. Huge congrats to the team that has taken this onwards and upwards to Genie 3. The Rubicon has been crossed!

Collectives can be more than the sum of their parts. This is baked into human intelligence because human intelligence emerged from collective cultural evolution. We have still not cracked this at the cutting edge of AI. Watch this space.

Perhaps we have over-indexed on the System 1 / System 2 dichotomy in AI. I expect there are other ways of slicing the information-processing cake, yet to be discovered. Alternative frames will highlight different tradeoffs, advancing our ability to design and direct AI.

Impressively rigorous science - kudos!

Excellent take. Exceptional experimental design and implementation is an underappreciated bottleneck, but not an insurmountable one.