Reynold Xin

speaker
331 appearances 1 recordings 1 series first heard Jun 2026 last heard 24 Jun

Reynold Xin’s voice in public audio — every appearance, attributed to the second.

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

Appearances

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MARK MANDELMANN- Yeah.
And that, like, for example, if string is super dense, you could actually convert every string into a, like, imagine you have to do a irrigation.
Instead of having a hash table, you could actually have an array.
Because if your string is dense enough, if you only have 256 options, you don't need a hash table.
You can just do array lookup.
And they'll be far faster.
So it's actually like probably millions of features in that model.
But using that, they can, one, basically prioritize the different algorithms that might actually impact in practice.
And many of them are very counterintuitive.
It isn't actually things that you think, hey, might work super well actually don't work that well in practice.
But also, more importantly, at runtime, you can dispatch the right algorithm and structure.
We designed it in a way that it can be incremental.
So first we're releasing a new endpoint.
But this goes to the broader ocean versus what we wanted to do is wanted to, by design, this new engine should be able to do everything we're able to do before and better.
In particular, the better part refers to very low latency workloads that can finish in tens of milliseconds.
But we want to roll it out incrementally with incremental capabilities so it doesn't take like five years to actually see the light at the end of the tunnel.
Vector database should never be in a separate category.
You know, if everything becomes LTAP, like, what's... I think the thesis of LTAP is we're not collapsing the databases at the actual query layer.
We're just collapsing the storage layer.
And that's, I think, a very important part.
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