The Token Budget Problem Nobody Is Talking About (Matan Grinberg, Co-Founder & CEO of Factory)

“There are a lot of people that are going out there and saying things like, ‘all jobs are going away,’ or ‘we're going to automate everything,’ or this language about the permanent underclass. And it really upsets me because not only is it inaccurate, but it's really harmful to the psychology of a lot of people that I think have a very important role to play in the future of humanity.” – Matan Grinberg

Matan Grinberg is the co-founder and CEO of Factory, an AI company valued at $1.5 billion that helps enterprises like Nvidia, Morgan Stanley, and Adobe automate software development through “Droids,” intelligent agents designed to streamline software engineering. Before Factory, Matan spent more than a decade in theoretical physics, studying string theory at Princeton and UC Berkeley. His work now centers on a different kind of complex system: how software gets built in an era of increasingly capable AI agents, open models, and shifting compute economics.

In our conversation, we explore:

• How Emmy Noether’s theorem continues to shape Matan’s approach to technology, business, and AI

• Why Matan believes there will always be more problems to solve, even as AI becomes more capable

• The resource allocation problem facing CEOs as they balance headcount, compute, and token budgets

• Why Factory is betting on model independence and Matan’s take on the SpaceX-Cursor deal

• Why Matan pushes back on conflating open models with “Chinese models” and wants a stronger open-model ecosystem

• The identity crisis that followed Matan’s decision to leave physics

• Lessons from Factory’s first few years, including learning to push back and identify gaps in his own knowledge

• Factory’s culture, values, and Matan’s partnership with co-founder Eno Reyes

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Explore the episode

Timestamps

(00:00) Intro

(03:50) Noether’s theorem explained

(06:45) How the search for what’s conserved informs Matan’s work

(10:53) Why there will always be more problems to solve

(11:58) The resource allocation problem of the AI era

(15:54) Factory’s mission: bringing autonomy to software engineering

(18:28) How Factory decides what to build next

(20:10) Why Factory abstracts away model choice

(22:07) How Factory wins enterprise customers

(23:15) Matan’s take on the SpaceX-Cursor deal

(27:48) Why open-weight models matter

(29:19) Anthropic’s Fable 5 release and the debate over AI guardrails

(35:33) How Matan got into string theory

(38:21) Working with Juan Maldacena

(41:53) Startup founders vs. theoretical physicists

(46:15) Rethinking physics and redefining his identity

(51:29) Discovering AI and code generation

(52:53) The origins of Factory

(55:52) Lessons from Factory’s first few years

(59:58) Learning to push back and finding the holes in his knowledge

(1:03:17) Factory’s culture and values

(1:08:11) Matan’s predictions for the future of AI and Factory

(1:10:49) Final meditations

Follow Matan Grinberg

LinkedIn: https://www.linkedin.com/in/matan-grinberg

X: https://x.com/matanSF

Website: https://factory.ai

Resources and episode mentions

Books

• A Tale of Two Cities: https://www.amazon.com/Tale-Cities-Dover-Thrift-Editions/dp/0486406512

• The Picture of Dorian Gray: https://www.amazon.com/Picture-Dorian-Gray-Oscar-Wilde/dp/0141439572

• The Brothers Karamazov: https://www.amazon.com/Brothers-Karamazov-Fyodor-Dostoevsky/dp/1685781152

• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296

• Invisible Cities: https://www.amazon.com/Invisible-Cities-Italo-Calvino/dp/0156453800

• Collected Fictions: https://www.amazon.com/Collected-Fictions-Jorge-Luis-Borges/dp/0140286802

People

• Emmy Noether: https://en.wikipedia.org/wiki/Emmy_Noether

• Juan Maldacena: https://www.ias.edu/scholars/maldacena

• William Shakespeare: https://en.wikipedia.org/wiki/William_Shakespeare

• Shaun Maguire on X: https://x.com/shaunmmaguire

• Frank Slootman on LinkedIn: https://www.linkedin.com/in/frankslootman

• Sridhar Ramaswamy on LinkedIn: https://www.linkedin.com/in/sridhar-ramaswamy

• Eno Reyes on LinkedIn: https://www.linkedin.com/in/enoreyes

Other resources

• Noether’s theorem: https://en.wikipedia.org/wiki/Noether%27s_theorem

• Factory: https://factory.ai

• Nemotron: https://developer.nvidia.com/topics/ai/nemotron

• Why One Superintelligence Is More Dangerous Than a Thousand (Vincent Weisser, CEO & Co-Founder of Prime Intellect): https://www.generalist.com/p/why-one-superintelligence-is-more

• IMDb Top 250 movies: https://www.imdb.com/chart/top/

• Harakiri: https://www.imdb.com/title/tt0056058

• La Grande Bellezza: https://www.imdb.com/title/tt6155190

• La Haine: https://www.imdb.com/title/tt0113247

• The Master: https://www.imdb.com/title/tt1560747

• Interstellar: https://www.imdb.com/title/tt0816692

• Proper Time to the Black Hole Singularity from Thermal One-Point Functions: https://www.researchgate.net/publication/345261524_Proper_time_to_the_black_hole_singularity_from_thermal_one-point_functions

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