Charlie O'Neill
speaker
259 appearances
2 recordings
1 series
first heard Jul 2026
last heard 15 Sep
Charlie O'Neill’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 — 2 in all, peaking in Sep 2026 with 1.
Appearances
I think that it's an unlikely outcome.
Definitely.
Like I think if we didn't have the dynamics we had now where we have a duopoly in the sense that there are like two labs very, very close to each other in terms of capabilities, um, and the dynamics that it that engenders with, you know, wanting to both be seen as the good guys and wanting to both like, you know, pace the frontier in this particular case.
I think that if if if it wasn't the case, like, you know, let's say OpenAI is winning and and Sam doesn't necessarily have to worry about optics as
Much.
I would be worried that regulation couldn't slow things down to the extent that they need to, or at least provide the amount of oversight that it would need to.
However, saying that, that doesn't mean that I think anyone has the answer as to what regulation in the industry moving as fast as this one looks like.
Um, at the moment, we do basically just have to trust the people developing these models to regulate themselves and have it over oversight themselves.
And and one thing that I would like to see is like a little bit more public communication from.
Labs as well.
Like one of the key examples of this is trying to understand how good the models these labs have internally are, because that gives us a really, really clear signal on like how quickly to prepare things and how to prepare.
Um, maybe like regulation which enforces the labs to declare those sorts of things on like, you know, key benchmarks would be a really good way to start.
But yeah, again, I don't think we know what the holistic picture is for regulation.
I think it wasn't necessarily so much a call for the government to step in and provide expertise and guidance.
Um, I think the labs are too smart for that.
They know how, you know, the the lack of awareness the government has about the capability of this technology, let alone how to monitor it and regulate it.
Um I think to me it was more about leveraging the people who have actually really fundamentally cared about this problem for a long time.
Like of course the labs have been focused on, you know, building capabilities as quickly as possible.
Well, even Anthropic, which is very safety focused, has just been focused on scaling RL since the RL paradigm was discovered.
And organizations like Meta, the UK AI Safety Institute, and others have and as well as Redwood, have really just locked in on this problem and have seen the full progression from the really poor models of four or five years ago through to the models we have now, and have just developed really good science around how to monitor and evaluate these things.
Showing 121–140 of 259 · page 7 of 13
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