Ali Ghodsi
speaker
877 appearances
1 recordings
1 series
first heard Sep 2026
last heard 5d ago
Ali Ghodsi’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 Sep 2026 with 1.
Appearances
If I'm not even coding anymore and it's coding itself.
Uh but I think they're conflating, hey, what's my value and is it scary for me?
versus, hey, that then means we'll get that superintelligence that 2014 theoretically was uh hypothesized by Botstrom.
Um
No, I think Sarah has a great point, which is it's this is a good argument against this whole thing, which is that the next model, first of all, there's only one or two such runs a year that each of these labs do.
And they take the it's the opposite of the four criteria that I mentioned, right?
Which is it's gonna take more resources, more humans involved, and it's even more brittle and they have to build out the data centers.
I mean, like the labs are not necessarily doing that, but others have to build the data centers and they have to be gigantic and they have to get the GPUs and they have to get the networking right and they have to do the engineering to make sure that they can tolerate 'cause you know, every order of magnitude, more GPUs you cram in there, you have to now worry about errors that before you didn't have to worry about.
have to increase rebu robustness of the so it's like a very brittle process and if it fails you've squandered so much money so they're like very very careful with that run and there's been multiple runs that have been watched.
So it's it's the opposite of that that hey the next model is faster, cheaper, smarter and recursive improvement.
It's the opposite.
It's like it's taking longer and it's more brittle and it's more people and it's harder to pull off.
So um I do think that that is true.
With respect to RSI, with respect to actually cyber risks and things getting hacked, we need to
That's not fair, because you know companies are not necessarily efficient, right?
So like what what if you have like I mean, OpenAI itself was doing like a million different activities.
A very small team of like ten people were doing L LMs and the LLM stuff was useful.
Twitter there was a lot of people.
Now it's much less people like Twitter than
That's sufficient criteria, but it's not necessary condition, right?
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