Try for free
Manifold
Manifold

Beff Jezos and Effective Accelerationism: Machine God of Loving Grace

02 July 2026 1:40:57 Steve Hsu

Listen to episode

About this episode

Beff Jezos (Guillaume Verdon) is a Canadian physicist, quantum computing researcher, and tech entrepreneur. He is best known as the founder of the Effective Accelerationism (e/acc) movement.


This interview was recorded in collaboration with John Greer and Lei Huang for the documentary film Machine God.


John Greer: https://www.johncgreer.com/


Chapter Markers:

  • (00:00) - Meet Beff Jezos
  • (01:56) - Hyperstition vs AI Doom
  • (21:29) - Accelerate or Die
  • (37:51) - Scaling Intelligence Upside
  • (40:26) - Doomers Power Centralization
  • (47:17) - EAC Physics Framework
  • (01:10:10) - Debating Doom Narratives
  • (01:16:13) - Beff Jezos Origin Story
  • (01:28:06) - Pause Debate and Rapid Fire



–

Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to [email protected] or Steve on X @hsu_steve.



Announcing this for some friends at Mechanize - a startup that builds environments for training and evaluating frontier LLMs. Its customers include the top AI labs, and it has contributed to the breakthrough in coding capabilities of frontier models. 


Mechanize is hiring! 

https://mechanize.work/b/hsu 


Compensation is extremely competitive. For technical roles, $300-500k. They are also seeking smart generalists. 


For example: 


Research Engineer, Alignment: Build evals that test for misaligned model behaviors  $500K salary 


Puzzle Maker: Design interesting and original puzzles that LLMs can’t yet solve  $300K salary 


Mechanize understands that my readership is highly selected. There is a VERY GOOD CHANCE you will be interviewed if you apply via the link above.

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Manifold. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support