Wade Foster

speaker
1,009 appearances 2 recordings 1 series first heard Sep 2024 last heard 17 Sep

Wade Foster’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 Sep 2026 with 1.

Appearances

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But in the meantime, I'm pretty bullish on...
how we at Zapier can take these smarter, more flexible models and inject them into like your existing toolkits to help you solve bigger, better problems for an easier to use interfaces.
I think there's still quite a bit more we can do with the existing models, but we're definitely starting to feel like the boundaries of some of this stuff where it's like there's certain types of tasks that we can do pretty predictably if they're simple enough and small enough.
But when it breaks outside the bounds of those things, it definitely feels...
like self-driving cars, where it's like you can get the demo sort of working, but that last mile stuff ends up being exceptionally difficult.
It's all the edge cases, the weird anomalies, the things like that, where humans can spot those things pretty easily, but the AI just will just trip up on those things left and right.
And that's where I do think we're just waiting for the models to see, hey, are they going to have a step function improvement and what it's capable of?
And if so, great.
That's going to unlock a whole new set of tasks for ourselves.
But even within the existing models, I still think there's more we can do to make that experience just better across a whole number of workflows.
things?
I think what you just described is like pretty accurate.
I think in some ways it's almost like the opposite of what you want to do for Google search.
Like in Google search, you're like just so lazy.
It's like the shortest little keyword or whatever snippet that you can get.
When you're working with these models, you want to describe it in its fullest like version of itself.
So that definitely stands out for sure.
More examples is good.
Yeah, I think narrowing the task is also really helpful.
And then starting to chain those narrower sets of tasks, like the more you try and like, do multiple sets of things in one, you're going to see it trip over.
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