Today’s show:

Alex is back with three more awesome interviews with founders on the bleeding edge of innovative tech.

Dr. Hon Weng Chong walks us through the basics of biological computing and Cortical Labs’ first-ever commercial computer running on living human cells.
Turing founder Jonathan Siddarth unpacks the secrets of LLM benchmarking, and explains why even our most advanced tests need to get much much harder right away.
Finally, Mercor founder Brendan Foody on how AI is about to reinvent the hiring process, and marrying the effectiveness of recruiters with the ease of online job boards.

It’s three — count ’em, three — can’t miss TWiST interviews guaranteed to make you smarter

Timestamps:

(0:00) OpenAI’s GPT-5: When is it coming out? Is it going to be TOO smart?

(08:06) Cortical Labs’ Hon Weng Chong on the electric connection between neuroscience and machine learning

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(11:27) Show Continues…

(15:17) The extreme difficulty of going from the lab to a shippable product

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(21:05) Show Continues…

(28:15) Why data is a factor of time

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(31:16) Show Continues…

(42:44) Turing CEO Jonathan Siddarth explains why it’s so important to keep benchmarking our LLMs

(47:24) What it means when a model “saturates” a test, and why benchmarks need to get HARDER

(50:22) What happens with the LLMs can answer all of our smartest questions?

(53:44) AI Agents train in gyms? Wait, really?

(01:01:33) Coding teaches models how to think, and more training mysteries don’t understand

(01:03:11) Brendan Foody from Mercor explains the “matching problem” that makes hiring such a pain

(01:07:02) How Mercor combines a job board’s distribution with the value of a recruitment agency

(01:10:49) Brendan recalls building his first AI interviewer in his college dorm

(01:20:16) Mercor has the opposite of a retention problem and crazy growth

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