Back to No Priors: AI, Machine Learning, Tech, & Startups

Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture

In a Nutshell

A handful of frontier AI labs are racing toward recursive self-improvement on a 12-18 month horizon, concentrating talent and compute into an oligopoly while most startups chase hundred-billion-dollar outcomes rather than trillion-dollar ones. Founders must ruthlessly evaluate exit timing, token ROI, and whether they’re on the right side of secular change, because AI compresses normal business cycles by 3-4x and private-market valuations can stay irrational longer than founders can stay productive. Regulatory capture and over-weighting safety over progress risk repeating the nuclear industry’s 40-year stall, which is why lightly-regulated ecosystems in Texas and elsewhere are emerging as counterweights to California’s tightening grip.

AI-Generated Notes

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70% of France is still nuclear in terms of its power generation. The US is at 18% and hasn't built a reactor in 40 years. A safety lobby in the 1970s essentially killed abundant clean energy for the United States. There are real outcomes where safety has hurt progress. The question is where the spectrum should be on AI regarding safety considerations.

Welcome to No Fires. Discussion focuses on risk management, RSI, how many trillion-dollar companies there can really be, and the ills of regulatory capture. Conviction's low overhead, high signal grant program is accepting applications for 10 exceptional startups building at the frontier. The program runs twice a year with $250,000 in cash on an uncapped note as well as compute and services from partners including OpenAI, Anthropic, Base 10, and others. Previous cohort companies include Cognition, Chai Discovery, Listen Labs, Physical Intelligence, and Flappy Airplanes.

Over the last five years, three companies went from close to zero to a trillion dollars in market cap: Anthropic basically didn't exist five years ago, OpenAI was still quite early with GPT-3 just coming out, and SpaceX was trading at 80-100. This represents a massive inflection in valuations. People now assume there will be a bunch of other trillion-dollar companies formed in three to five years, which is unprecedented in human history. Usually it takes 20 years - SpaceX took since the early 2000s and Google since the 1990s.

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