Erhan Giral
speaker
389 appearances
1 recordings
1 series
first heard Aug 2026
last heard 3 Aug
Erhan Giral’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 Aug 2026 with 1.
Appearances
So, gyms are essentially, imagine a data center that just runs a whole bunch of different applications, but maybe nothing is sensitive or created for the purpose of training in the sense that I can let my AI go there and break things.
I can say, okay, so create like a chaos monkey agent that just goes and randomly breaks things and say, ah, I messed up your application.
Which then my other AI comes in and says, okay, so let me first verify what's going on.
Let me try to fix this.
And it tries different things.
And I log all of this.
I keep a record of how things are progressing and whether the remediation works.
Is it expensive?
Is there a better one?
So I can do all these in a...
24-7 lights out manner in a data center so that I can create a bespoke agent that knows all the intricacies of whatever application it's responsible for.
I think that's where we are trying to go.
I think that's where the industry is also going towards.
You'll see more and more, you'll hear about these world models and whatnot that's also philosophically aligned with what I just said.
But what I can confidently tell you is these things are a function of their training data and good training data, we exhaust textual space.
So most of the best data will probably come from environments that are created so that these AI agents can just go and experience themselves and learn from those mistakes.
Yes.
So we have always used a foundational model, both in our research and in our shipping functions.
And because they are just marvelous and good enough on their own.
And also, training a foundational model is pretty expensive and slow operation.
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