Alex Wilhelm
speaker
67,402 appearances
274 recordings
1 series
first heard Sep 2024
last heard 19 Aug
Alex Wilhelm’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 — 108 in all, peaking in Oct 2025 with 15.
Appearances
This Week in Startups · This Startup Fused Human Brain Cells with Silicon Chips | E2295 · 1 Jun 2026
podcast
I want to make an analogy here because I think that everyone's very familiar with the idea of parameters in an in an LLM.
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You know, like um one oh five B would be a hundred and five billion parameters.
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If it's mixture of experts, yes, fewer than 105 billion would be activated, blah, blah, blah.
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But we kind of get that number.
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So 200,000 neurons, a million neurons, same number to me.
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I have no idea if that's a lot, not very many.
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So how many neurons do I have upstairs?
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And uh
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How many do you need to actually have the C L1 function as a biological computer?
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So that actually doesn't uh tell me why I'm wrong here, Han, but um
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Cockroach is not famous for their intelligence, famous for their durability, but I mean not not for being super smart.
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But when you combine that number of neurons with a a a a chip, a silicon chip, um, what what's like the the multiplication factor that we get from bringing those two things together?
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So when I w when I think about biological computing, I I presume we're talking about a lot of use cases in
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drug testing and drug discovery, you know, biosimilars, blah, blah, blah, blah, blah.
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All the stuff that's kind of flesh and blood.
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But do you foresee a future in which the probably not the C L one, maybe the C L three, uh manages to bring silicon and neurons together in a way that creates a computer that is better than
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today's GPUs and TPUs and so forth at certain types of calculations that we use in the technology world versus the biology world.
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if if biological computing is good at reinforcement learning, which as I think everyone listening to this knows is an enormous part of improving AI models today.
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You could end up pretty far outside of the realm of the biology side of of industry.
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That's very interesting.
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