What the people building AI actually say
Sven Balnojan recommends these
thdpth.comArguments, not headlines.
These are long and none of them resolve neatly, which I think is the honest state of the field right now. If you want a tidy summary of where AI is going, this is the wrong list.
4 episodes · 6h 16m total
Updated 2 hours ago
- 1Listen

Ryan Greenblatt – What happens once AI can automate AI research?
Dwarkesh Podcast2 hr 13 min
Two hours arguing about recursive self-improvement: whether roughly a year after human-level intelligence you slingshot far past it. It is a debate rather than a briefing, and that is exactly why it is worth the time — you hear where the disagreement actually sits instead of a confident summary.
- 2Listen

Noam Brown – Agent swarms, alignment, & recursive self-improvement
Dwarkesh Podcast1 hr 20 min
Multi-agent systems, and what the current run of mathematics results suggests about automating AI research. The harder question sits underneath: how would you even know whether a model is aligned.
- 3Listen

Ex-NVIDIA Engineer: Why AI Is About to Get 1000x Cheaper
Invest Like The Best1 hr 24 min
The case that the next era is not faster chatbots but background agents running on their own for hours or days — and what has to get cheaper before that works at all.
- 4Listen

Why the Markets Are Pricing AI Wrong | Gavin Baker
Invest Like The Best1 hr 19 min
A post-mortem of the July 2026 sell-off from someone who calls it 2022 packed into a single month. Useful counterweight if you only ever read the optimistic version.
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