Stephen Balaban
speaker
657 appearances
4 recordings
1 series
first heard May 2025
last heard 31 Aug
Stephen Balaban’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 Aug 2026 with 1.
Appearances
And
It's really squishy, you know.
Normal software is really brittle, right?
If you make a typo, you you leave a keyword out, you miss a semicolon, it's not gonna compile.
this type of neural software, th it's not really possible to have a bug.
It's really more just that you've
d have a misunderstanding or you've misprompted it or something.
And I think that that's where all this is going.
It's not code generation, but it's gonna be your your large language models are gonna be, you know, sort of take over more and more of program space.
And uh you you will be largely interacting with these sort of transformer models or next, you know, tokens, you know, prediction models generally, and they will be the software that you interact with.
Well, I mean this is like
If if it's whether it's exciting or not is gonna c kind of answer the question you had earlier, which is how successful are baked in transformer ASICs gonna be?
Right.
Because sort of like as the space, the underlying space changes, yep, um uh then every one of those sort of ASICs now becomes a lot less valuable.
And yeah, you kind of have to go back to the the more general uh tensor processing.
uh that you see inside of tensor cores and you see inside of the architecture of like things like TPUs.
Yeah.
And away from you know really specific things that have to do with like um the KV cache and different transformer specific architectural things you might want to put into um an ASIC.
And so
I think that it's it's interesting to see you you've got diffusion models, you've got things like Mamba, um and and where where where
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