Connect your Claude, Codex or OpenClaw for full transcripts on millions of podcasts. Two week free trial, cancel anytime.

Start free trial →
AC Andrew Chan On My Food Job Rocks!

“We're on a bubble. I don't know when it's going to burst or how. I've said for a while that we're spending exponentially more money for a logarithmic increase in performance. There hasn't been a step change. Although one thing I did not predict: tool use did improve the models a lot. But from a strict model-quality side, it's maybe a linear improvement over a year, if even. And they're spending hundreds of billions of dollars now.”

My Food Job Rocks! · Alternative Proteins · November 2026

“We're on a bubble. I don't know when it's going to burst or how. I've said for a while that we're spending exponentially more money for a logarithmic increase in performance. There hasn't been a step change. Although one thing I did not predict: tool use did improve the models a lot. But from a strict model-quality side, it's maybe a linear improvement over a year, if even. And they're spending hundreds of billions of dollars now.” — Andrew Chan, My Food Job Rocks!

Context

Asked for his thoughts on AI, Andrew, a pre-seed venture investor, gives the short version. He credits tool use and integrations for the practical gains rather than the raw models.

Transcript

My Food Job Rocks! Around 48:06 into the episode
Andrew Chan

But yeah, people are always going to troll you on the internet. I get a lot of hate comments. It's part of being an influencer.

Adam Yee

…a lot on LinkedIn over the years. I get maybe one or two posts a year on hate comments for me specifically. But obviously, it's a different platform and all that, right? So yeah. Anyways, thoughts on AI? I'd like to go there. I know you're going to have a lot. It's probably too much. Yeah, I'll

Andrew Chan

give the two-second version, which is we're on a bubble. I don't know when the bubble is going to burst. I don't know how it's going to burst. I have said for a while that we're spending exponentially more money for a logarithmic increase in performance. I think you're seeing that firsthand. There hasn't been a step change in performance. Although, I'll be honest, and one thing I did not predict, tool use did improve the models a lot. And the ability to use- What do you mean by that? Just like web search integrations, the integrations that OpenAI has with, like, I, God, I love Codex. This is not part of the sponsorship here. I use it for literally everything. It integrates with Adobe Premiere. Like, I've used it to added videos. And because they've just spent so much time doing the computer use, the integrations, it does increase the power a lot. Now, from a strict API side and from a strict model quality and response side, it is a maybe linear improvement over a year, if even. They're spending hundreds of billions of dollars now. So I've had that thesis for a while. And then similarly, and this is, again, not something I necessarily predicted, but had something because open source has caught up a lot more, which…

Adam Yee

the Chinese LLMs, you mean? I mean, not just

Andrew Chan

Chinese, even the Facebook, like meta LLMs are performing a lot better these days.

Adam Yee

Okay.

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.

More from My Food Job Rocks!