Akshat Bubna
speaker
405 appearances
1 recordings
1 series
first heard Jul 2026
last heard 8 Jul
Akshat Bubna’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 Jul 2026 with 1.
Appearances
And the first example we published was we took a small developer and put in a loop so the agent can iterate on itself.
Loops are hard these days.
Yeah.
Yeah, it's like mid-2023.
Yeah.
I don't remember if you used tool calling in this one, but yeah, the models are just diverse after like 10 iterations and not produce anything meaningful.
I mean, it's hard to have that kind of inherent conviction that the stuff will get that much better.
Yeah, I mean, it's still needed today.
Obviously, workload shapes have changed a lot as...
We run stuff for people with really massive production scale.
And there, it's not about scaling from zero to one, but it's how do we scale really elastically from like 1,000 to 1,500 GPUs very quickly in a given region.
It's the same chip problem.
Actually, I'll take a step back and maybe talk about how people use model today.
because our biggest use case actually is Elastic Inference.
And the thing we first found product market fit with was inference for custom models.
So we kind of stayed away from the LM space and we were serving companies like Suno for audio, Runway for video.
robotics companies that train their own model elsewhere, but modal is the best black box for deployment, scaling to however many GPS you need as your traffic pattern changes.
And we saw all of them actually have a very unpredictable traffic pattern.
It's like diurnal, it's
And some days, like, the company will be launched and, you know, they'll need, like, way more.
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