Anish Acharya

speaker

8,262 appearances 20 recordings 3 series first heard Mar 2025 last heard 12 Sep

Anish Acharya’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 15 in all, peaking in Jun 2026 with 4.

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The a16z Show · Why Companies Are Becoming a Series of Loops | Anish Acharya on Lenny’s Podcast · 12 Sep 2026 podcast

But if you look at even something like Fable 5, you know, for one IQ, conceptually one IQ of extra intelligence, you're paying 100x more.

than Opus 4-8.

So it's not rational, but I think there's a lot of jobs in which you have unbounded upside, like drug discovery, you know?

And if that one IQ point lets you discover the next, you know, statin, it's a trillion dollar outcome.

So it's sort of rational to pay for the highest intelligence in these types of jobs and industries.

Now, on the other hand, I'm going to pick on, you

there's perhaps only so much upside to be had in legal or finance.

And for those jobs, you actually do want to be very Pareto efficient and probably pay for, you know, good performance at a good price, not infinitely priced, infinite potential upside performance.

So I think what we're going to see is a split between job functions that demand kind of mid IQ intelligence and

And those will often be open weight, sort of biased with reinforcement learning, you know, things that make the models even cheaper, more performant for a narrow job, along with, you know, incredibly quote unquote expensive, but performant frontier tokens.

for sales, support, research, engineering.

So I think you're going to end up having both architectures.

And we can touch on this in a little bit, but I do think there are these sort of comparative advantages amongst model families.

And then also amongst, of course, individual models that we're seeing more and more of.

It's not going to be one or the other.

Yeah, and I don't want to be diminutive.

Like there's extraordinary people in those job functions.

I just think that they're bounded upside problems that they work on.

You know, you can only kind of close the books correctly.

You know, you can't close the books 100x better.

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