Sarah Rose Siskind and I start on who wins the data game — Apple, Amazon, Google — and why so many AI tools are features, not products or platforms, especially once a team has to switch with you.

We get into tech storytelling: the hunger for failure stories, her line that fire is technology, user-controlled algorithms, and real wins like speech recognition that finally listens and Be My Eyes helping someone find lavender pancake batter.

Sarah Rose Siskind and I talk about AI panic, job loss, and the work robots should actually take from us — the dirty, dreary, and dangerous tasks that keep humans from doing more human work.

We trace the messiness of past revolutions, from manufacturing and the internet to self-driving trucks, and ask how to stay compassionate with people caught in transition without pretending technology should stop.

Sarah Siskind turned the presidential fitness test into a one-person experiment: sober, on cannabis, on MDMA, and on ketamine. Then she ran a 50K on LSD, at Burning Man.

We talk about pain, pleasure, breath-holding, chasing your bliss, the science of psychedelics, and why pharmaceutical scale may strip away the surrender that makes these experiences meaningful.

Every powerful technology gets subverted — AI already is. Pedro’s realistic optimism, the nuclear analogy, why The Master Algorithm still holds up as perennial truth, and how 2040 weaponizes satire to say what nonfiction can’t.

Realistic optimism vs subversion of every tech; nuclear analogy; Master Algorithm still holds; writing 2040 as near-future satire.

Seattle vs. the Bay Area, departments that ignored machine learning until it ate the world, and the long hunt for whatever algorithm the brain is actually running. This is the Master Algorithm conversation: Minsky’s “one damn thing after another” versus a few deep primitives still waiting to be found.

Where to build (Seattle vs. Bay Area); departments that ignored ML; n-grams to deep learning; the brain’s algorithm and the Master Algorithm quest.

The frontier labs are in a neck-and-neck race that burns talent and barely holds an edge for weeks. Pedro argues the open research ecosystem still dominates breakthrough odds — and why locking up publishing kills the golden goose.

Big labs chase edges they can’t keep; talent, publishing, and why open academia still beats closed labs; IP, secrets, and culture.

If a system still needs a brittle harness, is it AGI? We dig into cybersecurity as an adversarial game, personal agents that become extensions of the self, and why the model layer wants to be a commodity platform — not a permanent monopoly.

Pedro Domingos is an OG of AI — researcher, author of The Master Algorithm and the satire 2040. Moonshot’s Kimi K3 model sparks a conversation about distillation, copied capability, open AI, and the white-hat advantage.

Founders want investing decisions to be rational, legible and fast. Venture capital is none of those things. A great company can be wrong for a fund, a perfect pitch can arrive at the wrong moment and a polite maybe can consume months that should have gone into finding ten more investors.

In the final part of our conversation, Jamie Wood turns the questions around. We talk about what would stop me from investing in AUTONOMIC, why fund fit matters, what warm introductions really buy and why the only durable fundraising strategy is to maximize your shots on goal.

A promising technology is not a company until the hard parts reinforce one another. Product, distribution, evidence, data and timing all have to spin together; if one link keeps breaking, the founder spends eternity pushing the wheel uphill.

Jamie Wood invited the teardown, so in part four we do it properly. We pressure-test AUTONOMIC's product experience, data advantage, wearable strategy, sales motion and scientific proof—then ask what has to be true for all of it to become a compounding brain-data flywheel.