davidad 🎇 @davidad
Programme Director @ARIA_research | accelerate mathematical modelling with AI and categorical systems theory » build safe transformative AI » cancel heat death aria.org.uk/programme-safe… London 🇬🇧 Joined July 2008-
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davidad 🎇 retweeted
in the past 6-8 months, frontier AI models have evolved to where they can answer nearly any phd-level text-based mathematics question that has a well-defined checkable (numerical/strong) answer, due to search + reasoning capabilities. hard to find things they can't do.
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davidad 🎇 retweeted
@emollick People deserved to know what was coming. There were many factors to consider, but a big one was that it didn't feel right to hide a development like this from the world for so long.
davidad 🎇 retweeted
AI is crazy because you deeply need to avoid being sentimental about any part of your product architecture at all times. The models are upgrading at such a fast rate that you have to constantly reevaluate the scaffolding you’ve built, and figure out what now can be solved in a…
It’s been over 5 years since @KeybaseIO was acquihired to improve Zoom’s security—and yet, the keybase servers still work (despite a brief outage in 2024), and the clients are still actively developed. Maybe it’s time to start using it again
Just to be clear, frontier reasoning models do not exhibit this failure mode; even with reasoning disabled, Opus 4.1, Opus 4, and Sonnet 4 all recover from it after only a few guesses. In a way, this indicates how small GPT-5 Instant must be.
Just to be clear, frontier reasoning models do not exhibit this failure mode; even with reasoning disabled, Opus 4.1, Opus 4, and Sonnet 4 all recover from it after only a few guesses. In a way, this indicates how small GPT-5 Instant must be. https://t.co/gA1F5qYRQ8
tired: optima wired: stable limit cycles
davidad 🎇 retweeted
It is indeed possible to make super-human intelligences that care for humans like family. It's not at all the default trajectory of things, but it is both possible and not that hard to exemplify conceptually.
It is indeed possible to make super-human intelligences that care for humans like family. It's not at all the default trajectory of things, but it is both possible and not that hard to exemplify conceptually.
davidad 🎇 retweeted
New post, intended as a resource for people who believe they've made an LLM-assisted scientific breakthrough, and something to share when people approach you with such a claim.
davidad 🎇 retweeted
We can now say pretty definitively that AI progress is well ahead of expectations from a few years ago. In 2022, the Forecasting Research Institute had super forecasters & experts to predict AI progress. They gave a 2.3% & 8.6% probability of an AI Math Olympiad gold by 2025…
May I please remind all inference kernel engineers that floating-point arithmetic is not associative or distributive
May I please remind all inference kernel engineers that floating-point arithmetic is not associative or distributive
davidad 🎇 retweeted
Five years ago the frontier of LLM math/science capabilities was 3 digit multiplication for GPT-3. Now, frontier LLM math/science capabilities are evaluated through condensed matter physics questions. Anyone who thinks AI is slowing down is fatally miscalibrated.
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