Jerry Murdock
speaker
1,795 appearances
3 recordings
2 series
first heard Feb 2026
last heard 22 Aug
Jerry Murdock’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 3 in all, peaking in Feb 2026 with 2.
Appearances
And you look at the efficiency there and you think, oh, well, Base 10 is raising money at the same valuation.
Well, it's not the same business.
I'd bet on fireworks over base 10, 10 times better business, in my opinion, because they're more capital efficient.
based on capital efficiency?
Capital efficiency and their willingness to make profits on business.
I think Cursor was pretty smart in the base 10 contracts from last year with Cursor.
I don't think there was much profit in it for base 10.
They just got revenue and they got scale from it, but they didn't get a lot of earnings.
And so if you're not making a lot of money and you're putting up a lot of money, you're at risk.
Well, on two things, in the big overall view, if we say that models are there to provide intelligence and we look at the world and you've got 7 billion people, how many intelligent people do we have in the world?
I mean, in some ways, you're going to see that models are going to replicate humans in this sense of being specialized and being able to do a specific task in a specific way.
You know, someone who's cutting a gem has a certain intelligence about how to do that work that's pretty specialized.
And I think
You're going to see intelligence is, in the early days of these models, it's all going to be about specialization and the ability to customize.
What's happening is that you can't customize anthropic models or open AI models right now, not the big frontier models.
You're not allowed to do that.
So that's just giving an opening, I think, for open source models to be tuned.
As I mentioned on our last call, I thought that open source models and ASICs chips were going to kind of be part of a tsunami of their own.
And if you're looking at a frontier model with double dollar digit cost per token, and you're looking at an open source model that's 10, 11 cents per token, while all tokens aren't created equal, it's still enough of a difference that there's going to be a massive adoption.
And by the way, it's not like AI is only demands for enterprise customers or a few consumers.
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