George Cameron
speaker
221 appearances
1 recordings
1 series
first heard Jan 2026
last heard 8 Jan
George Cameron’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jan 2026 with 1.
Appearances
kind of range of academics from from uh different academic institutions.
Really smart people.
They talked about how they turned the models up in terms of the temperature.
As high temperature as they can where they're trying to explore kind of new ideas in physics as a as a thought partner just because they they want the models to hallucinate.
Um so not right in every situation, but um think it makes sense, you know, to test hallucination in scenarios where it makes
Scenarios where
They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment.
For the labs who are doing inference at scale, it's I think less about
Total parameters in many cases when thinking about inference costs and and more around number of active parameters.
And so there's a bit of an incentive towards larger, sparser models.
It's a fantastic data set.
OpenAI released a great data set and they released a good paper which looks at performance across the different web chatbots on the data set.
It's a great paper.
Encourage people to read it.
What we've done is taken that data set and turned it into an eval that can be run on any model.
So we created a reference agentic harness that can run the models on the data set.
And then we developed an evaluator approach to compare outputs that's kind of a AI enabled.
So it uses uh Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human human preferences.
One data point there is that um even as the as an evaluator, Gemini 3 Pro.
Interestingly, uh doesn't do uh actually that well in GDP val uh AA.
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