Yoshua Bengio

speaker

2,216 appearances 5 recordings 5 series first heard Oct 2018 last heard 7 May

Yoshua Bengio’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 3 in all, peaking in May 2026 with 1.

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80,000 Hours Podcast · #243 – 'Godfather of AI' Yoshua Bengio: "I now see a path" to safe superintelligent AI · 7 May 2026 podcast

So the form of training here is much closer to what we do in pre-training, except that we teach the AI the difference between what people say and what it actually believes.

And we force it to reason about why did people say those things rather than imitate what people would do.

So actually, it's even less than that, but more depending on how you count.

So we've raised about $35 million from philanthropy.

But we are in negotiation with various governments to get much, much more.

So we are pretty confident that we are going to be in like the hundreds of millions pretty soon.

But as you say, that's still peanuts compared to what the leading AI companies have.

However, I think it is sufficient

to make a proof of concept.

And with a proof of concept, then we can convince companies to actually put the money to train larger systems or systems that are trained from scratch using the same principle.

So there are various kinds of experiments.

The bottom line is we want to show

the improvement in honesty and basically getting rid of deceptive behavior.

And we can do it with two kind of categories of experiments.

We can train really small models of the kind that academic organizations have been training, like less than 10 billion weights or something from scratch, but just using the scientist AI objective and the data representation that I mentioned.

So that won't be competitive because it's going to be much smaller models, but we can compare head-to-head the original open-weight model that has that same size and train the same data.

We can compare both in terms of capability and safety, essentially.

at least honesty being the main thing we're looking for.

So that's one kind of demonstration.

The other kind of demonstration, which is maybe closer to being deployable,

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