Eiso Kant

speaker
1,158 appearances 1 recordings 1 series first heard Jul 2026 last heard 23 Jul

Eiso Kant’s voice in public audio — every appearance, attributed to the second.

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

Appearances

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Because the Laguna S model, as you'll see it, and why it does so well in benchmarks, and why it does so well in using it on a day-to-day basis, is that it's just incredibly persistent.
It reasons a lot.
I do call that out.
We have work to do on making it more efficient.
We have work to do on offering different reasoning modes.
But this is the model that has been able to do things that I never thought it could do.
118 billion 8B active model, which is not that large.
It fits on a DGX Spark and still runs at, you know, 30, 40 tokens a second on a Spark.
It's able to solve Erdos 397 independently.
It's able to do complex programming tasks.
It's able to...
I asked it this morning to make me a Wi-Fi scanner without using any external libraries on my Mac.
And it's like figuring out like the core WLAN API by really persistently trying to understand it without access to the internet.
And more and more, I love vibe checking.
I've probably spent eight to 10 hours a day with this model for the last 10 days.
I'm not exaggerating.
I was on my 11 hour flight yesterday.
I spent 10 hours reading trajectories and traces and like of the model.
And what I take away from it is exactly what Peng Ning said.
We are going to be able to squeeze so much more out of smaller models than I think we had imagined in the industry.
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