Skip to content
No PriorsNo Priors

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight reasoning model. Misha breaks down the pre-training and reinforcement learning required to produce Beam’s reasoning efficiency, the shift in enterprise compute from renting to owning intelligence, and how he believes that open models will capture the majority of global token demand. He also talks about the open model ecosystem in China and why competition with China’s models is a good thing, safety considerations around open models, and how frontier-level open models may accelerate the pace of scientific discovery. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @MishaLaskin | @reflection_ai Chapters: 00:42 – Misha Laskin Introduction 00:59 – Latest with ReflectionAI 02:07 – Challenges Building an Open Model 03:56 – ReflectionAI’s Agentic Shift 07:37 – Resources for Model Training 10:09 – Scaling Efficiency 12:18 – Training Beam 16:51 – Where Model Value Comes From 19:55 – Beam’s Reasoning Efficiency 22:35 – Monetizing Open Weight Models 25:03 – Future of Open Versus Closed Tokens 31:29 – Competition with Open Models 34:38 – Chinese Open Source Model Ecosystem 38:40 – Will Chinese Models Remain Open 44:44 – Safety and Open Models 53:02 – Debating Access to Powerful Tools 57:16 – AI and Scientific Progress 01:00:36 – Data Centers and Jobs 01:02:07 – Beam and Scientific Research 01:05:37 – Research Head Count to Compute Ratio 01:10:29 – Conclusion

Misha LaskinguestElad GilhostSarah Guohost
Oct 9, 20261h 9mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
October 9, 2026
Duration
1h 9m
Channel
No Priors
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight reasoning model. Misha breaks down the pre-training and reinforcement learning required to produce Beam’s reasoning efficiency, the shift in enterprise compute from renting to owning intelligence, and how he believes that open models will capture the majority of global token demand. He also talks about the open model ecosystem in China and why competition with China’s models is a good thing, safety considerations around open models, and how frontier-level open models may accelerate the pace of scientific discovery. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @MishaLaskin | @reflection_ai Chapters: 00:42 – Misha Laskin Introduction 00:59 – Latest with ReflectionAI 02:07 – Challenges Building an Open Model 03:56 – ReflectionAI’s Agentic Shift 07:37 – Resources for Model Training 10:09 – Scaling Efficiency 12:18 – Training Beam 16:51 – Where Model Value Comes From 19:55 – Beam’s Reasoning Efficiency 22:35 – Monetizing Open Weight Models 25:03 – Future of Open Versus Closed Tokens 31:29 – Competition with Open Models 34:38 – Chinese Open Source Model Ecosystem 38:40 – Will Chinese Models Remain Open 44:44 – Safety and Open Models 53:02 – Debating Access to Powerful Tools 57:16 – AI and Scientific Progress 01:00:36 – Data Centers and Jobs 01:02:07 – Beam and Scientific Research 01:05:37 – Research Head Count to Compute Ratio 01:10:29 – Conclusion

SPEAKERS

  • Misha Laskin

    guest

    Co-founder and CEO of Reflection AI, previously worked on Gemini/DeepMind reinforcement learning and has a physics background.

  • Elad Gil

    host

    Entrepreneur and investor; co-host of the No Priors podcast.

  • Sarah Guo

    host

    Founder of Conviction and venture capitalist; co-host of the No Priors podcast.

EPISODE SUMMARY

In this episode of No Priors, featuring Misha Laskin and Elad Gil, Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin explores reflectionAI’s Beam: scaling open-weight frontier models with reinforcement learning Misha Laskin explains why ReflectionAI shifted from betting on RL atop existing open models to building frontier open-weight models end-to-end, culminating in the release of Beam.

RELATED EPISODES

Frontier Chips for Frontier AI Labs, with Walter Goodwin, Founder/CEO of Fractile

Frontier Chips for Frontier AI Labs, with Walter Goodwin, Founder/CEO of Fractile

Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee

Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee

Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon

Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon

Coinbase’s Everything Exchange: Agentic Finance, Stablecoins & Tokenization with CEO Brian Armstrong

Coinbase’s Everything Exchange: Agentic Finance, Stablecoins & Tokenization with CEO Brian Armstrong

From Restoring Sight to Reimagining the Brain, with Max Hodak

From Restoring Sight to Reimagining the Brain, with Max Hodak

Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein

Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.