David Cox

speaker

634 appearances 1 recordings 1 series first heard Jan 2026 last heard 13 Jan

David Cox’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 Jan 2026 with 1.

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The Neuron: AI Explained · Why IBM Wants AI to Be Boring · 13 Jan 2026 podcast

So we can build models that are really fast.

They're really memory efficient.

You don't have to buy the latest, most expensive NVIDIA stuff with a card to run it.

You can run it increasingly on laptops and other devices.

I've seen it running on phones, you know, really nicely.

So everyone's got their own spin on it, which is kind of cool.

This is also the thing that's great about open, right?

Yeah.

Everybody solved the same problem.

We all solved shit a different way.

And now we're looking at each other going, you know, interesting.

Let me take that one from you and then you take this one from us.

And then you end up with things that are even faster than that.

Well, so that's a good question.

We've tested it out to half a million, but we don't really know how far it could go.

One of the things we did, which is interesting in Granite 4, one of the problems when you want to extend the context length

is there's something called the position embedding, which is, I mean, this is like a sort of jargony detail, but it's like, how do you know like where you are in that context length?

There's like a little like, there's a way of encoding that in the sequence.

I personally hate them because like anytime you have to like, you usually train on a small context and you like stretch it out.

So it's like you're stretching taffy.

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