akrolsmir/ptf-2026-07-28-v2.md

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    Pacing the Frontier — signatories and comments

Pacing the Frontier is a public statement signed by employees of frontier AI companies. This is a plain-text copy of its public signatory list and comments, captured on 2026-07-28 — see the site itself for the statement text and to sign.
1134 signatories (867 named, 267 anonymous), of whom 70 left a public comment. Most-represented employers: Anthropic (533), OpenAI (330), Google (191), Meta (62).

Signatories
Comments

Signatories

In the order the site lists them.

John Schulman — Chief Scientist, Thinking Machines
Jakub Pachocki — Chief Scientist, OpenAI
Jared Kaplan — Co-Founder and Chief Science Officer, Anthropic
Shengjia Zhao — Chief Scientist, Meta AI
Mark Chen — Chief Research Officer, OpenAI
Jasjeet Sekhon — Chief Strategy Officer, Google DeepMind
Dario Amodei — CEO, Anthropic
Jack Clark — Co-Founder and Head of Public Benefit, Anthropic
Anca Dragan — VP, AI Safety & Alignment, Google
Wojciech Zaremba — Head of AI Resilience, OpenAI Foundation
Dawn Song — VP, AI Research, Meta
Chris Olah — Co-Founder & Interpretability Research Lead, Anthropic
Laura Weidinger — Staff Research Scientist, Google
Benjamin Mann — Co-Founder, Anthropic
Stephanie Chan — Staff Research Scientist, Google
Julian Schrittwieser — Anthropic
Summer Yue — Director of Alignment and Risk, Meta
Jan Leike — Anthropic
Boaz Barak — OpenAI
Mike Krieger — Member of Technical Staff, Anthropic
Mary Phuong — Senior Research Scientist, Google
Shantanu Jain — Member of Technical Staff, OpenAI
Ross Girshick — Anthropic
Joshua Achiam — OpenAI
Saachi Jain — Head of Safety, OpenAI
Jascha Sohl-Dickstein — Member of the Technical Staff, Anthropic
Alex Beutel — OpenAI
Kim Stachenfeld — Staff Research Scientist, Google
Roon — Member of Technical Staff, OpenAI
Sam Bowman — Anthropic
Gregory Wayne — Distinguished Scientist, Google
Tejal Patwardhan — Researcher, OpenAI
Ben Buchanan — Consultant, Anthropic
Melody Guan — Research Scientist, Alignment, OpenAI
Neel Nanda — Staff Research Scientist, Google
Nova DasSarma — Infrastructure Lead, Anthropic
Yann Dubois — Researcher, Post-training, OpenAI
Victoria Krakovna — Research Scientist, Google
Hunter Lightman — OpenAI
Boris Cherny — Head of Claude Code, Anthropic
Alexander Wei — OpenAI
Dean W. Ball — Head of Strategic Futures, OpenAI
Edward Hughes — Chief Scientist, Inherent
Catherine Olsson — Anthropic
Keller Jordan — OpenAI
Leo Gao — Member of Technical Staff, OpenAI
Rohin Shah — Google
Tom Henighan — Anthropic
Tyna Eloundou — Member of Technical Staff, OpenAI
Tom Schaul — Research Scientist, Google
Nicholas Joseph — Member of Technical Staff, Anthropic
Evan Hubinger — Alignment Stress-Testing Lead, Anthropic
Christina Kim — Member of Technical Staff, OpenAI
Ethan Perez — Alignment Team Lead, Anthropic
Bowen Baker — Research Manager, Monitorability and Alignment Science, OpenAI
Pablo Samuel Castro — Senior Staff Research Scientist, Google
Trenton Bricken — Tech Lead, Automated Red Teaming, Anthropic
Joe Carlsmith — Member of Technical Staff, Anthropic
Aidan McLaughlin — Research Scientist Post-training, OpenAI
Jack Lindsey — Research Lead, Model Psychology, Anthropic
Sebastian Farquhar — Google
Joost Huizinga — Research Scientist, OpenAI
Zac Hatfield-Dodds — Anthropic
Micah Carroll — Misalignment Preparedness, OpenAI
Eric Rynerson — Data Scientist, OpenAI
Akash Verma — SWE, Google
Yogeesh Rajendra — Staff Software Engineer, Meta
Rudolf Laine — Member of Technical Staff, Thinking Machines
Alex Cloud — Member of Technical Staff, Anthropic
Damon Falck — Member of Technical Staff, Post-Training, Inherent
Remi Uzel — Member of Technical Staff, Anthropic
Ben Bariach — Microsoft
Adam Venis — Amazon
Drew Johnston — Member of the Technical Staff, OpenAI
Rif A. Saurous — Principal Research Scientist, Google
Walker Smith — Data Engineer, Meta
Jonathan Dyer — AI Engineer, Meta
Shizhe Diao — Member of Technical Staff, Thinking Machines
Kevin Kelley — Member of Technical Staff, Anthropic
Will Laves — Anthropic
Chang Sun — Member of Technical Staff, OpenAI
Lillian Sun — OpenAI
Ian McKenzie — Research Engineer, Google DeepMind, Google
Eric Landgrebe — Staff ML Engineer, Meta
Brydon Eastman — Thinking Machines
Ilan Bigio — Member of Technical Staff, OpenAI
Jakub Adámek — Google
Jean-Christophe Testud — AI Security, Meta
Danilo Carvalho Martins — Member of Technical Staff, Training Infrastructure, Thinking Machines
Jeff Klingner — Senior Software Engineer, Google
Lia Guy — Member of Technical Staff, Pretraining, OpenAI
Jorge Barrios — Software Engineer, AI Experiments, Google
Jason Wolfe — Member of Technical Staff, OpenAI
Jeremy Kritz — Meta
Etash Guha — Anthropic
Ignasi Clavera — OpenAI
David Dinucu-Jianu — Google
Mathieu Lariviere — Technical Project Manager & Research Support Coordinator, Meta
Sean Hall — Member of Technical Staff, Anthropic
Gabrielle Cortez — Program Manager, AI Integrity, Meta
Luke Drago — Thinking Machines
Razzi Masroor — Member of Technical Staff, Pretraining, OpenAI
Jack Youstra — Google
Paridhi Singh — Meta
Marcus Williams — OpenAI
Brandon Houghton — OpenAI
Daniel Liu — Anthropic
Noah Y. Siegel — Senior Research Engineer, Google
Brendan Long — Production Engineer, Meta
Naomi Bashkansky — Researcher, OpenAI
Jiatong Han — Google
Alex Zhao — Research Scientist, OpenAI
Niki Howe — Research Scientist, Meta
Cian Lawlor — Anthropic
Rémy Olson — Anthropic
Robbie Ostrow — Member of Technical Staff, Infrastructure, OpenAI
Moye — SWE, Google
Grace Atwood — Member of Technical Staff, Anthropic
Marwan Aljubeh — Member of Technical Staff, OpenAI
Felipe Parodi — Google
Michele Blood — Content Producer, Meta
Nik Tezak — OpenAI
Prakash Murugesan — Research Engineer, Meta
Nina Kang — Sr Staff Software Engineer, Google
John Cherian — Meta
Ian Kivlichan — OpenAI
Jordan Smith — Anthropic
Ziyue Wang — Research Engineer, Google
Sean Pankanin — Meta
Shaig Abduragimov — OpenAI
Jeremy Hadfield — Member of Technical Staff, Anthropic
Erik Jenner — Research Scientist, Google
Lily Wen — Meta
Jon Kutasov — Member of Technical Staff, Anthropic
Abe Fetterman — OpenAI
Ryan Carelli — Member of Technical Staff, Anthropic
Michael Henry Tessler — Google
Jon Wolverton — Senior Software Engineer, Google
Nick Doucette — Engineering Manager, AI Security, Meta
Raunak Daga — OpenAI
Joe Lea — Member of Technical Staff, Anthropic
Alex Tomala — Research Engineer, Google
Chris Frantz — Software Engineer, Meta
Stephanie Weiss — Member of Technical Staff, OpenAI
Joe Palermo — Member of Technical Staff, OpenAI
Daniel M Ziegler — Member of Technical Staff, Anthropic
Henry Prior — Research Engineer, Continual Learning, Google
Harish Kamath — Anthropic
Francesca Surraco — Anthropic
Asad Liaqat — Meta
Lina Ochman — Head of SMB, Anthropic
Andrew Edstrom — Member of Technical Staff, Anthropic
Cedric Deslandes Whitney — OpenAI
Sofia Liguori — Research Engineer, Google
Bo Li — Director, AI Research, Meta
Dylan Moore — Robotics, OpenAI
Sam Toyer — Member of Technical Staff, OpenAI
Alex Castro-Ros — Senior Research Engineer, Google
Julian Michael — Meta
Adly Templeton — Anthropic
Victoria Spiegel — OpenAI
Ullas Gargi — Engineer, Trust & Safety, Meta
Anthony Wang — Google
Xiling Zhang — Eval Infra, Meta
Charles Zhao — Member of Technical Staff, OpenAI
Tian Huey Teh — Google
Sail Wang — Meta
Anshita Saini — OpenAI
Emma Kennedy — Anthropic
Michael Tontchev — Staff Engineer, Lead for Safety Evals Platform, Meta
Bailey Herms — Software Engineer, Google
Javier Rando — Anthropic
Ananya Kumar — Research Lead, TBD, Meta
Jacqueline Lee — Member of Technical Staff, Anthropic
Peter Ciccolo — Anthropic
Andrew Schmidt — Model Designer, OpenAI
Lewis Smith — Research Scientist, Google
Danny Sawyer — Senior Research Scientist, Frontier AI, Google
Paul Karmel — Software Engineer, Meta
David Hu — OpenAI
Dan A. Calian — Staff RS, Google
Joel Pobar — Meta
Blair Chen — OpenAI
Daniel Dressler — Software Engineer, Google
Gina Cusing — Product Manager, Meta
Jeff Chan — OpenAI
Elizabeth Edwards-Appell — Member of Operations Staff, Manager, Anthropic
Kit Fraser-Taliente — Member of Technical Staff, Anthropic
Simeon Anfinrud — Google
Gabriel B. Nunes — Software Engineer, Reality Labs, Meta
Andres Aldana — Member of Technical Staff, Anthropic
Ash Prabaker — Anthropic
Laura Li — OpenAI
Lizzie Alvarado Ford — Member of Technical Staff, Anthropic
Nate Kratzer — Data Scientist, Meta
Chad Payne — Product Strategy & Operations Principal, Google
Yang Zhang — Anthropic
Hamza Kwisaba — Offensive Security AI Engineer, Meta
Moustafa Elhadary — OpenAI
Jon Napolitano — Google
Joseph Krisciunas — OpenAI
Anton Pidkuiko — Member of Technical Staff, Anthropic
Yasha Sheynin — Evaluation Scientist, Meta
Jolyon Bloomfield — Member of Technical Staff, Anthropic
Timon Knigge — Member of Technical Staff, OpenAI
Adam Wolff — Anthropic
Matthew Rahtz — Staff Research Engineer, Google
Adam Langley — Google
Tyler Vann-Campbell — Production Engineer, Meta
Neil Saigal — OpenAI
Alexandre Ramé — Research Scientist, Google
Raghav Gupta — SWE, Hardware, Meta
Yax Patel — OpenAI
Jules Schmaltz — Anthropic
Mark So — Anthropic
Praneet Rathi — Anthropic
Jacob Goldman-Wetzler — Anthropic
Timothée Lottaz — Software Engineer, DeepMind GenAI, Google
Ashvin Nair — Research Scientist, Meta
Rapha Lopes — Research Scientist, OpenAI
Joshua Engels — Research Scientist, Google
Swante Scholz — Google
Franklin Rice — Software Engineer, Meta
Karan Singhal — AGI Benefits / Health AI, OpenAI
Ameya Avasare — Anthropic
Jai Lakhanpal — Senior Staff Engineer, Google DeepMind, Google
Bence Nagy — Member of Technical Staff, Anthropic
Karthik Abinav Sankararaman — AI Researcher, Meta
Xerxes Dotiwalla — Google
Hugues Bruant — Anthropic
Devashish Tyagi — Member of Technical Staff, OpenAI
Victor Minden — Google
Ilia Shumailov — AI Security Scientist, Meta
Doug Barth — Anthropic
Glory Jain — AI Deployment Engineer, OpenAI
William Li — Researcher, OpenAI
Jin Seop Kim — Senior Software Engineer, Google
Arun Chaganty — Anthropic
Arman Kermanizadeh — Anthropic
Allen Li — Anthropic
Vanessa OMahony — Anthropic
Philippe Chlenski — Research Scientist, Interpretability, Meta
Klaudia Krawiecka — Security Engineer, Frontier Risk Evals, Meta
Oliver Cheng — Member of Technical Staff, OpenAI
Chris Pütz — Anthropic
Ahmed Khaled — Google
Felix Binder — AI Research Scientist, Meta
Kevin Stone — Research, OpenAI
Rory Greig — Staff Research Engineer, Google
Alanna Slocum — Member of Technical Staff, Anthropic
Jinpeng Miao — Research Scientist, AI Security and Preparedness, Meta
Harry Jones — OpenAI
Piyush Patil — Research Engineer, Google
Charlie Rogers-Smith — Anthropic
Miles Turpin — Research Engineer, Alignment, Meta
Fabien Roger — Anthropic
Will Yager — Anthropic
Riley Burgess — Anthropic
Kerrick Staley — OpenAI
Andrew Ash — Software Engineer, Google
Peter Ney — Research Scientist, Preparedness, Meta
Jones — Member of Staff, Enterprise Platforms & Tech, OpenAI
Nashir Janmohamed — Software Engineer, Google
Billy Silk — Anthropic
Jan Hendrik Kirchner — Member of Technical Staff, Anthropic
Jacob Turner — Anthropic
Toby Scales — CISO, Media & Entertainment @ Google Cloud, Google
Aidan Boyd — AI Research Scientist, MSL Safety & Mitigations, Meta
Zhangir Azerbayev — Member of Technical Staff, RL, OpenAI
Darren R Davis — Senior Software Engineer, Google
Yushi Wang — Member of Technical Staff, Foundations, OpenAI
Andrey Starodubtsev — Software Engineer, Google
Josh Levy-Kramer — Member of Technical Staff, Anthropic
Vie McCoy — OpenAI
Matt Bell — Anthropic
Zachary Kenton — Staff Research Scientist, Amplified Oversight Team Lead, Google
Edward Gathuru — Software Engineer, Google
Alexander Carney — Tech Lead, Pretraining Data, OpenAI
Marie Vachovsky — Member of Technical Staff, Anthropic
Neil Rathi — Anthropic
Justin Wei — Anthropic
Christian Ryan — Member of Technical Staff, Anthropic
Brendan Jackman — Staff Software Engineer, Google
Michael Cohen — Member of Technical Staff, Anthropic
Achyuta Rajaram — Member of Technical Staff, OpenAI
Jeremy Sticco — GTM, Anthropic
Lee Bernick — Research Engineer, Google
Chuan Guo — Member of Technical Staff, OpenAI
Vikrant Varma — Senior Staff Research Engineer, Google
Mostafa Rohaninejad — OpenAI
David Clyde — Member of Technical Staff - Pretraining, OpenAI
Tom Lieberum — Sr Research Engineer, Google
Minghao Cheng — OpenAI
David Hershey — Anthropic
Ipsita Paul — Recruiter, Anthropic
Alon Krifcher — Anthropic
Rory Blevins — Software Engineer, Google
Steve Mostovoy — Member of Technical Staff, OpenAI
Grant Birkinbine — Member of Technical Staff - Security, OpenAI
Rasmi Elasmar — Google
Tristan Hume — Anthropic
Leon Maksin — Research, OpenAI
Andreas Kirsch — Senior Research Scientist, Google
Kara McCloskey Mendes — OpenAI
Utsav Prabhu — Google
Jason Bohrer — Researcher, Safety, Meta
Hugh Durkin — Anthropic
Ethan Yu — OpenAI
Niko Schwarz — Google
Riya Tyagi — OpenAI
Ben Komalo — Anthropic
Anushan Fernando — Research Engineer, Google
Logan Foster — OpenAI
Brian Chen — Anthropic
Riccardo Casero — AI Technical Deployment Lead, Google
Shu — Member of Technical Staff, Anthropic
Kerry Persen — Anthropic
Joel Weinberger — Member of Technical Staff, Anthropic
Jordan Darefsky — Anthropic
Stephen McAleer — Member of Technical Staff, Anthropic
Nicholas Bone — Senior Software Engineer, Google
Alan Guo — Member of Technical Staff, OpenAI
Nicki Anselmo — Program Manager, Google
Eider Oliveira — Principal Engineer, Google
Milo Cress — Member of Technical Staff, Anthropic
Rowechen Zhong — OpenAI
Malcolm Ohl — Account Executive, Public Sector, Anthropic
Ben Clifford — Google
Jeff Hemphill — Member of Technical Staff, OpenAI
Brad Levin — Product Manager, Google
Pablo Orduna — OpenAI
James Chua — Anthropic
Luke Bennett — Member of Technical Staff (Manager), Anthropic
Sarah Cogan — Google
Ben Sokolowsky — OpenAI
Jun — Google
Adam Farina — Anthropic
Jeremy Tan — OpenAI
Tom Everitt — Staff Research Scientist, Google
Alejandro Xoconostle — Network Engineer, Meta
John Lee — Anthropic
Zaid Nabulsi — Member of Technical Staff, Anthropic
Simon Biggs — Anthropic
Jonathan Ueki — Anthropic
Georgios Kapoglis — Anthropic
Dara Canavan — Forward Deployed Engineering, OpenAI
Liv Gorton — Anthropic
Lauren Deason — Machine Learning Engineer, Evaluations, Meta
Adrian Hutter — Research Engineer, Google
Laurentia Romaniuk — OpenAI
David Chee — Anthropic
Michael Guerin — Anthropic
Michał Sapalski — Staff Software Engineer, Google
Cathy Yeh — Member of Technical Staff, OpenAI
Evelyn Yen — Google
Rachel Wonnacott — Member of Technical Staff, Anthropic
Lama Ahmad — OpenAI
Saul Reynolds-Haertle — Member of Technical Staff, Anthropic
Shawn Moore — Anthropic
Sravanti Addepalli — Research Scientist, Google
Jan Ciechowski — Member of Technical Staff, Anthropic
Jenny Huang — Google
Jason Y Lee — AI Innovation Lead, Transformation, OpenAI
Michael Thiessen — Software Engineer, Google
Dana Foarta — Member of Technical Staff, Anthropic
Ryan Slama — Member of Technical Staff, Anthropic
János Kramár — Sr Research Engineer, Google
Joshua Batson — Anthropic
William Feng — OpenAI
Piotr Mirowski — Senior Staff Research Scientist, AI and Society, Google
Chris Melamed — Member of Design Staff, OpenAI
Brian Huang — Research Engineer, Midtraining, Google
Joseph Livengood — Member of Technical Staff, Anthropic
Arthur Goemans — Research Scientist, Google
Conrad Kramer — Member of Technical Staff, Applied, OpenAI
Will Sonnex — Anthropic
Travis Bryant — Anthropic
Ulyana Piterbarg — Research Scientist, Post-training, Google
Sridatta Thatipamala — OpenAI
Welton Chang — Anthropic
Ali Egal — Member of Technical Staff, Anthropic
Marianne Monteiro — Research Engineer, Google
Femi Alamu — OpenAI
Erik Schluntz — Anthropic
Ahmad Almomani — Anthropic
Alex Irpan — Research Scientist, Google
Jay Moon — OpenAI
Michal Izworski — Research Engineer, Google
Ryan Nguyen — OpenAI
Andrew Stewart — Manager, Anthropic
Cody Wild — Research Engineer, Google
Adam Pearce — Anthropic
Phillie Wright — Anthropic
April Chen — OpenAI
Mustafa Çağlar — Member of Technical Staff, Anthropic
Ryan Codrai — Member of Technical Staff, Anthropic
Monty Evans — Anthropic
Ziyad Edher — Member of Technical Staff, Anthropic
Dan Mossing — Anthropic
Elizabeth Coble — Software Engineer, Google
Teddy Lee — Member of Technical Staff, Anthropic
Jason Teplitz — Pretraining Systems Lead, OpenAI
David McKennirey — Member of Technical Staff, Anthropic
Simone Tega — Anthropic
Tina Vachovsky — Member of Technical Staff, Anthropic
Robert O'Callahan — Senior Staff Software Engineer, Google
André Balleyguier — Anthropic
Zach Parent — Forward Deployed Engineer, OpenAI
Kyle Vandenberg — Google
Ravin Kumar — Senior Researcher, Google
Kai Xiao — OpenAI
Christopher Liu — Member of Technical Staff, Anthropic
Rowan Wang — Anthropic
Abbas Mehrabian — Senior Research Scientist, Google
Noah Anderson — Anthropic
Will Douglas — Member of Technical Staff, OpenAI
Lexi Ross — Anthropic
Heng Chen — Google
Jenny Nitishinskaya — Member of Technical Staff, OpenAI
Kate Woolverton — Google
Mackenzie Lindland — Anthropic
Omar Mezenner — Member of Technical Staff, Anthropic
Josh Cleveland — OpenAI
Danny Cochran — Member of Technical Staff, Anthropic
Srinivas Tadepalli — Agents, TPM, Google
Dr. Markus Schweier — Manager of Technical Staff, Anthropic
Arun Vijayvergiya — OpenAI
Ruth Weiss — Member of Technical Staff, Anthropic
Ozzie Gooen — Research Engineer, Google
Hugo Carr — Anthropic
Jasmine Wang — OpenAI
Ezequiel Gomez — Anthropic
Patryk Grzelak — Member of Technical Staff, Anthropic
Owen Kunhardt — Software Engineer, Google
Daniel Larsen — OpenAI
Rachel Fitzick — Software Engineer, Machine Learning, Google
Maxwell Leiter — Anthropic
Emily Tianshi — OpenAI
Yangsibo Huang — Google
Rushy Panchal — Anthropic
Jared Sires — GTM, Anthropic
Jamie Brim — Member of Technical Staff, OpenAI
Chip Turner — Anthropic
David Wu — Member of Technical Staff, RL, OpenAI
Nicole Mitchell — Research Scientist, Google
Finn Cartwright — OpenAI
David Lindner — Research Scientist, Google
Kate Henriksson — Anthropic
Cynthia Day — Anthropic
Manas Joglekar — OpenAI
Sam Kennedy — Member of Technical Staff, Anthropic
Sean Campbell — Software Engineer, Google
Tomer Aberbach — Member of Technical Staff, Anthropic
Max Kaufmann — Member of Technical Staff, Anthropic
Todor Markov — Member of Technical Staff, Anthropic
Kevin Gladstone — GTM - Early Access Program, OpenAI
Anonymous — Meta
Dee Cattle — Research Strategist - Ethics & Safety, Google
Colton Weaver — Member of Technical Staff, Anthropic
Julie Steele — Member of Technical Staff, OpenAI
Anonymous — OpenAI
Max Grossman — Anthropic
Anika Somaia — Research, Google
Sunil Shah — Anthropic
Kaushik Ravi — OpenAI
Anonymous — Anthropic
Aran Zephyr Burke — Anthropic
Wenda Zhou — OpenAI
Daniel Freeman — Member of Technical Staff, Anthropic
Anonymous — Google
Chase McCoy — Member of Technical Staff, Anthropic
Diana Jung — Anthropic
Brandon Taylor — Member of Technical Staff, Anthropic
Victor Lue — Anthropic
Anonymous — Meta
Rupi Sureshkumar — Senior Product Manager, Google
Babak Nakhayi Ashtiani — Anthropic
Chris Golden — Member of Technical Staff, Inference, Anthropic
Olivia Watkins — Member of Technical Staff, OpenAI
Daniel Smilkov — Member of Technical Staff, Anthropic
Çağdaş Tülek — Anthropic
Zachary Behrman — Google
Kaanthi Pandhigunta — Member of Technical Staff, Robotics, OpenAI
Jonathan Richens — Research Scientist, Google
Santiago Archila — Member of Technical Staff, OpenAI
Max McGuinness — Member of Technical Staff, Anthropic
Daniel Cho — Member of Technical Staff, Anthropic
Dmitry Nikulin — Research Engineer, Google
Peter Zhokhov — OpenAI
Jacob Zimmerman — Member of Technical Staff, Anthropic
Kevin Miller — Google
Harrison Stall — Member of Technical Staff, Anthropic
Euan Ong — Member of Technical Staff, Anthropic
Lifu Huang — Member of Technical Staff, Anthropic
Guro Khundadze — Anthropic
Paul Rosu — Member of Technical Staff, OpenAI
Zheng Wang — Research Engineer, AI Safety, Google
Franklin Wang — Member of Technical Staff, Reasoning, OpenAI
Bilal Chughtai — Research Engineer, Safety, Google
Michael Abd-El-Malek — Member of Technical Staff, Anthropic
Hailey Joren — Anthropic
Aashrey Tiku — Member of Technical Staff, Anthropic
Alexander Miller — Anthropic
Scott Zhang — Member of Technical Staff, OpenAI
Callum McDougall — Research Engineer, Deep Alignment, Google
Ian Layzer — Anthropic
Wes Gurnee — Member of Technical Staff, Anthropic
Jeffrey Wang — OpenAI
Noah Adkinson — OpenAI
Christina Lu — Member of Technical Staff, Anthropic
Austin Gomez — Member of Technical Staff, OpenAI
Anna Soligo — Member of Technical Staff, Anthropic
Tanya Singh — Member of Technical Staff, Anthropic
Jonathan Chien — OpenAI
Patrick Chao — Member of Technical Staff, OpenAI
Jordan Fisher — Member of Technical Staff, Anthropic
Raphael Lee — Member of Technical Staff, Anthropic
Wendy Wu — OpenAI
Jacob Coxon — Anthropic
Valerio Pepe — Member of Technical Staff, Robotics, OpenAI
Benjamin Marks — Anthropic
Venky Deshpande — Member of Technical Staff, OpenAI
Alex Martin Richmond — Labor Economist, OpenAI
Grace Zhao — OpenAI
Chan Jun Shern — Anthropic
Michael Slattery — Anthropic
Flynn Doherty — Anthropic
James Campbell — OpenAI
Pranav Ponnuramu — Member of Research Program Staff, OpenAI
Hannah Moran — Anthropic
Yang Huang — Member of Technical Staff, Anthropic
Isma Lemhadri — OpenAI
Diego Iaconelli — Member Of Technical Staff, Anthropic
Dylan Sam — Member of Technical Staff, OpenAI
Jesse Hendrickson — Member of Technical Staff, OpenAI
Aarash Heydari — OpenAI
Mashfir Mohiuddin — Member of Technical Staff, Scaling, OpenAI
James Edmonds — Anthropic
Jack Lindamood — Anthropic
Peter Zhizhin — Anthropic
Nik Pash — Member of Technical Staff, OpenAI
James Akl — Member of Technical Staff, Anthropic
Benjamin Carlsson — Member of Technical Staff, OpenAI
Jim Baker — Anthropic
Ayush More — GTM, OpenAI
Lily Rudd — Anthropic
Andrew Escay — Member of Technical Staff, OpenAI
Hansohl Kim — Member of Technical Staff, RL, Anthropic
Can Sar — Member of Technical Staff, Codex, OpenAI
Noah Picard — Anthropic
Ryan Brewster — Member of Technical Staff, Anthropic
Kenneth Lien — Anthropic
Keri Warr — Anthropic
Thomas Norell — Member of Technical Staff, Anthropic
Edwin Pan — OpenAI
Liam Esparraguera — OpenAI
Liann Sun — Member of Technical Staff, Human Data, OpenAI
Alex Wu — Member of Technical Staff, Anthropic
Barret Schlegelmilch — Anthropic
Yifan Zhou — OpenAI
Alexis LiDonde — Anthropic
Eugene Yan — Member of Technical Staff, Anthropic
Ian Ho — AI Deployment Engineer, OpenAI
Hannah Lloyd — Manager, User Operations, OpenAI
Jeff Curry — Anthropic
Samuel Marks — Anthropic
Roy Rinberg — Member of Technical Staff, Anthropic
Rohan Deshpande — OpenAI
Carl Shan — Member of Data Science Staff, OpenAI
Michael Janner — OpenAI
William Saunders — Anthropic
Michael Fan — Member of Technical Staff, OpenAI
Tao Roa Lin — Anthropic
Hoi Fung Ho — Anthropic
Yiwei Sun — Member of Technical Staff, OpenAI
Kshitij Sachan — Anthropic
Sully Chen — Member of Technical Staff (Research), OpenAI
Jackie Liesman — OpenAI
Sheng Xu — Member of Technical Staff, Anthropic
Tristan Fitch — Anthropic
Johan Cervantes — Member of Technical Staff, OpenAI
Masha Popelyukhina — Anthropic
Ross Nordby — Anthropic
Heidi Holland — Anthropic
Cas Li — OpenAI
Alex Allain — Anthropic
Adrien Ecoffet — OpenAI
Bobby Powers — Anthropic
Jack O'Connor — OpenAI
Christin Kiessling — Anthropic
Margaret Vo — Member of Technical Staff, Anthropic
Henry Baer — OpenAI
Ariyana Kermanizadeh — Anthropic
Mitchell Gordon — Member of Technical Staff, OpenAI
Miles McCain — Member of Technical Staff, Anthropic
Tong Mu — OpenAI
Kai Chen — OpenAI
Jerome Swannack — Member of Technical Staff, Anthropic
Tiago Ferreira — Anthropic
Neerav Kingsland — Anthropic
Dhyey Shah — OpenAI
Filipe de Avila Belbute Peres — Member of Technical Staff, OpenAI
Jennifer Kopoulos — OpenAI
Jiyun Yao — Member of Technical Staff, Anthropic
Jason Clinton — Deputy CISO, Anthropic
Rachel Tang — OpenAI
Raymond Wang — Anthropic
Chris Mah — Anthropic
Michael Celentanoj — Member of Technical Staff, OpenAI
Eli Tran-Johnson — Anthropic
Reema Polignano — Anthropic
David Judd — Anthropic
Luca Righetti — OpenAI
Joe Taylor — OpenAI
Nicklas Ansman — Member of Technical Staff, OpenAI
Sobha Gadi — Member of Technical Staff, Anthropic
Dakota Goldberg — OpenAI
Weishen Mead — Anthropic
Kaushal Patel — Member of Technical Staff, Anthropic
Matthew Jagielski — Anthropic
Xinan Zhou — Member of Technical Staff, Hardware, OpenAI
Rishi Gupta — Member of Technical Staff, Anthropic
Tim Abbott — Member of Technical Staff, Anthropic
James Katz — Member of Technical Staff, Data Pipelines, OpenAI
Scott Johnston — Member of Technical Staff, Anthropic
Misha Khalman — Member of Technical Staff, Anthropic
Devin Kuokka — Member of Technical Staff, Anthropic
Arthur Conmy — Member of Technical Staff, Anthropic
Brian Goldman — Anthropic
Charlie Blake — Researcher, OpenAI
Alex Paino — OpenAI
John-Paul Smith — Member of Technical Staff, Anthropic
Arjun Vikram — Member of Technical Staff, Pretraining, OpenAI
Alyssa Vance — Anthropic
Paul Crowley — Member of Technical Staff, Anthropic
Ben Dodson — Member of Technical Staff, Mobile, OpenAI
Kevin Hartstein — Anthropic
Casey Dvorak — OpenAI
Gary Miguel — Anthropic
Jake Ehrlich — Member of Technical Staff, Anthropic
Brandon Baker — Member of Technical Staff, OpenAI
Halil Cetiner — Member of Technical Staff, OpenAI
Akbir Khan — Member of Technical Staff, Anthropic
Matthew Roknich — Anthropic
Grace Yun — Anthropic
Tomer Kaftan — Member of Technical Staff, OpenAI
Akshay Jagadeesh — Member of Technical Staff, OpenAI
Mario Camacho — OpenAI
Andrew Tsao — OpenAI
Kyle Turman — Member of Technical Staff, Anthropic
Jeff Belgum — Engineer Manager, OpenAI
Winston — Member of Technical Staff, Anthropic
Rohan Viswanathan — OpenAI
Justin Bisignano — Member of Technical Staff, Anthropic
Dulwin Jayalath — Anthropic
Alexandros Pouroullis — Anthropic
Lauren Münks — Anthropic
Xiangyu Qi — Member of Technical Staff, OpenAI
Marina Favaro — The Anthropic Institute, Anthropic
Elliot Plant — Member of the Technical Staff, Anthropic
Chloe Lannert — Anthropic
Ben Rossen — Associate General Counsel, OpenAI
Austin Cohen — Anthropic
Jason Phang — Member of Technical Staff, OpenAI
Michael Seltenreich — Member of Technical Staff, Anthropic
Ryan Whitehead — Anthropic
Michael Lampe — OpenAI
Ryan Jiang — Foundations, OpenAI
Dustin Li — Anthropic
Nathan Grasso Bronson — OpenAI
Arun Prasad — OpenAI
Gaetano Amico — Anthropic
Alice Lee — OpenAI
Mike Carne — Recruiting, Anthropic
Mike Boufford — Member of Technical Staff, Anthropic
Carlos Cuevas — Member of Technical Staff, Anthropic
Lucas Gonzalez — Member of Technical Staff, Anthropic
Andrea Vallone — Member of Technical Staff, Anthropic
Angus Fletcher — Member of Technical Staff, OpenAI
Noah MacCallum — Software Engineer Manager, OpenAI
Tobin South — Member of Technical Staff, Anthropic
Sasha Hydrie — Anthropic
Ben Wang — OpenAI
Daisy Hollman — Member of Technical Staff, Anthropic
Alexander Levine — Member of Technical Staff, OpenAI
Simon Cao — Anthropic
Derek Sasthav — Member of Technical Staff, Anthropic
Alex Flick — Anthropic
Andi Brae — Anthropic
Simon Kornblith — Anthropic
Kevin Bond — Member of Technical Staff, OpenAI
Jake Marcus — Anthropic
Phillip Guo — OpenAI
Mark Prins — OpenAI
Arav Tewari — Member of Technical Staff, OpenAI
James Fleming — Anthropic
Alan Zhang — Member of Technical Staff, Anthropic
Jingxin Ye — Anthropic
Landon Goldberg — Anthropic
Emily Gray — Account Executive, Anthropic
Dheeraj Reddy — Anthropic
Rohit Mittapalli — Anthropic
Jeremy Fox — Member of Technical Staff, Anthropic
Josh Newlan — OpenAI
Laker Newhouse — Anthropic
Nick Stathas — OpenAI
Gabriel Wu — Member of Technical Staff, OpenAI
Ben Crabtree — Anthropic
Henry Cheung — OpenAI
Ben Bartlett — Member of Technical Staff, Performance Optimization, Anthropic
Prithviraj Billa — Member of Technical Staff | Enterprise Product, OpenAI
David Dowdall — GTM, Anthropic
Kanstantsin Sokal — Anthropic
Callum O'RIordan — Member of GTM, OpenAI
Nicholas Sofroniew — Member of Technical Staff, Anthropic
Valerie Qi — OpenAI
Zack Brunson — OpenAI
Eric Urban — Anthropic
Matt Clarke — Anthropic
Chang Lan — Anthropic
Dmitrii Krasheninnikov — Anthropic
Wookjae Maeng — Member of Technical Staff, Anthropic
Soham Govande — OpenAI
Guy Leroy — Member of Technical Staff, Reinforcement Learning, Anthropic
Ashwin Raja — Member of Technical Staff, Infrastructure, OpenAI
Luke Xing — OpenAI
Emmanuel Ameisen — Anthropic
Misha Wagner — Member of Technical Staff, Anthropic
Rohan Seth — Anthropic
James Bradbury — Anthropic
Alex Palcuie — Member of Technical Staff, Anthropic
Annie Grace Hu — Anthropic
Robert Donnelly — OpenAI
Peter J McDade — Technical Program Manager, Anthropic
Nathan Dalal — Member of Technical Staff, OpenAI
Siyu Cheng — OpenAI
Juan Felipe Ceron Uribe — Safety Research, OpenAI
Mikita Balesni — Member of Technical Staff, OpenAI
Andrew Callahan — Member of Technical Staff, Anthropic
Anton Paquin — Anthropic
Ada Martin — Member of Technical Staff, Anthropic
Drake Thomas — Anthropic
Elizabeth (Liz) Goodwin — Member of Technical Staff, Anthropic
Adriaan Engelbrecht — Member of Technical Staff, Anthropic
James Lowe — Anthropic
Yifei Teng — Anthropic
Ed Dean — Member of Technical Staff, Anthropic
Erin Perrine — Member of Technical Staff, Anthropic
James Black — OpenAI
Brianna Chrisman — Research Scientist, Anthropic
Meyer Zinn — OpenAI
Loren Maggiore — Anthropic
Monte MacDiarmid — Anthropic
Malone Hedges — OpenAI
Leland Richardson — Member of Technical Staff, Anthropic
Vineet Kosaraju — OpenAI
Steven Bills — Member of Technical Staff, Anthropic
Ryan Cheu — OpenAI
JR Tipton — Anthropic
Jackson Dolphin — Anthropic
David Soria Parra — Member of Technical Staff, Anthropic
Johannes Ferstad — OpenAI
Zoe Richards — Member of Technical Staff, Anthropic
Kyle Miller — OpenAI
Dino Distefano — Anthropic
Zach Hempstead — Anthropic
Wills Wynn Thomas — Anthropic
Pawel Szczerbuk — Member of Technical Staff, OpenAI
Andrew Chang — OpenAI
Sophie Bridgers — Senior Research Scientist, Google
Owen Campbell-Moore — OpenAI
Frank Li — Member of Technical Staff, Anthropic
Connor Watts — Anthropic
Joey Pereira — OpenAI
Philipp Czerner — Member of Technical Staff, Anthropic
Andy Scott — Member of Technical Staff, OpenAI
Neil Ramaswamy — OpenAI
Alexander (Sasha) Sax — Member of Technical Staff, Pretraining, Anthropic
Matt Friedman — Anthropic
Carolyn Zou — Anthropic
Carlos Garbiatti — Member of Technical Staff, Anthropic
Nitin Sharma — Anthropic
Ansh Radhakrishnan — Anthropic
Max Schwarzer — Member of Technical Staff, RL, Anthropic
Artur Upton Renault — Member of Technical Staff, Anthropic
Tomek Korbak — Member of Technical Staff, OpenAI
Dave Cummings — OpenAI
Armaan Goel — Member of Technical Staff, Anthropic
Cameron Raymond — Member of Technical Staff, Safety Research, OpenAI
Richard Bownes — Member of Technical Staff, Anthropic
Eric Knox — Anthropic
Atticus Wang — OpenAI
Andres March — Anthropic
Eric Sigler — OpenAI
Eric Easley — Member of Technical Staff, Anthropic
Igor Canadi — Member of Technical Staff, OpenAI
Jack Chen — Member of Technical Staff, Anthropic
Jin Liu — Anthropic
Veda Balte — Anthropic
Adnan Pirzada — Anthropic
Maya Krishnan — Anthropic
Jai Srivastav — Anthropic
Sam Jiang — Member of Technical Staff, Anthropic
Aaron Lehmann — Member of Technical Staff, Anthropic
Nima Badizadegan — Anthropic
Ty Fiero — OpenAI
Celia Chen — OpenAI
Or Oz — Anthropic
Tonia Osadebe — Product Manager, Safety, OpenAI
Colin McLeod — Member of Technical Staff, Anthropic
Mo Bavarian — Member of Technical Staff, OpenAI
Holden Mui — OpenAI
John Penek — Anthropic
Ekin Akyurek — Research Scientist, Reasoning, OpenAI
Christopher Lovejoy — Anthropic
Nick Preston — Member of Technical Staff, OpenAI
David Saxton — Anthropic
Paul Ashbourne — Member of Technical Staff, OpenAI
Shauna Kravec — Anthropic
Apoorva Lal — Member of Technical Staff, Model Measurement, OpenAI
Tim Maxwell — Anthropic
Andrew Koh — Research Scientist, Google
Tejas Rajamadam Pradeep — Member of Technical Staff, Anthropic
Kaiwen Wang — OpenAI
Hugh Zhang — Anthropic
Marvin Zhang — OpenAI
Sofia Feld — Anthropic
Blithe Rocher — Member of Technical Staff (Manager), Anthropic
Mike Schiraldi — Member of the Technical Staff, Anthropic
Daniel Kelley — Anthropic
Adam Faulkner — Member of Technical Staff, OpenAI
Michael Strickland — Member of Technical Staff, Anthropic
Valerie Focke — OpenAI
Francesco Mosconi — Member of Technical Staff (Manager), Anthropic
Aaron Vontell — Member of Technical Staff, Anthropic
Luna Nova — Member of Technical Staff, Anthropic
Ciro Spaciari — Anthropic
Larry Zhang — Anthropic
Hristijan Bogoevski — Anthropic
Alec Helyar — Research Manager - Safety, OpenAI
Brayden McLean — Technical Program Manager - Safety TPM, Anthropic
Dylan Hunn — Member of Technical Staff, Alignment Research, OpenAI
James McCall — Anthropic
Dillon Bowen — Member of Technical Staff, Preparedness, OpenAI
Theo Clark — Anthropic
Gabriel Paranthoen — Member of Technical Staff, Anthropic
Noah Moscovici — Member of Technical Staff, Anthropic
Brett Wittmershaus — Anthropic
Imre Bard — Trust and Safety Analyst, OpenAI
Adam Jones — Member of Technical Staff, Anthropic
Christopher Wolff — Member of Technical Staff, Safety Research, OpenAI
Jay Wang — Safety, OpenAI
Sugin Lou — Member of Safety Data Science, OpenAI
Prithvi Rajasekaran — Member of Technical Staff, Anthropic
Ethan Behrends — Member of Technical Staff, Anthropic
Nicolas Thiebaud — Anthropic
Martin Amps — Member of Technical Staff, Anthropic
Ying-Yu Ho — Anthropic
Jonah Kallenbach — Anthropic
Jordan Burgess — Member of Technical Staff, Anthropic
Andrew Trott — Member of Technical Staff, Anthropic
Gonçalo Paulo — Interpretability Researcher, EleutherAI
Sam Fishman — Member of Technical Staff, Anthropic
Amanda Tenanes — Recruiter - Safety Research, OpenAI
Kevin Tang — Anthropic
William Brandon — Member of Technical Staff, Anthropic
Youngmin Park — Member of Technical Staff, Alignment, OpenAI
Tantum Collins — CEO, Inherent
David Robinson — Safety Systems, OpenAI
Colin Carroll — Anthropic
Stanislau Beliasau — Member of Technical Staff, Anthropic
Ziad Reslan — Product Manager, Safety, OpenAI
Anonymous — OpenAI
Anonymous — Google
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Comments

All 70 public comments, in the order the site lists them.
Leo Gao

Member of Technical Staff, OpenAI

The world is locked in a deadly race towards an intelligence explosion, where AI’s ability to create better AIs reaches a critical point, just like a runaway nuclear chain reaction. Going slower would give us much-needed time to make it go well, but no individual actor is willing to stop unilaterally. To survive, we must coordinate to slow down the race.

Matthew Rahtz

Staff Research Engineer, Google

Even after 3 years working on AI capability evaluations, the recent pace of progress has been a shock. To avoid catastrophic harms from AGI, we need much, much better coordination.

Christian Ryan

Member of Technical Staff, Anthropic

As a foreign national, I see a US-supported effort as existential, not only for the liberties of the free world but for the prosperity of all.

Will Yager

Anthropic

Like splitting the atom, AI holds the potential for both immense benefit and immense risk. The world should take the time to do this right.

Micah Carroll

Misalignment Preparedness, OpenAI

At the current pace, every couple of weeks there will be new models which significantly increase the consequences of model misuse and misalignment. I worry that efforts to mitigate these risks may fail to keep up with the pace of development, and that margins for error will become increasingly small under international competitive pressures. In the near future, we may urgently want to enact an internationally coordinated slowdown, or an indefinite ban on AI development. Attempting to build the trust and infrastructure for taking such actions on short notice seems simply prudent – why would we not at least try to have this option? I fear that in an international race to the bottom of AI development, it is likely that no nation will win, and we will all lose together.

Shengjia Zhao

Chief Scientist, Meta AI

AI is progressing at a rate that our society might not be ready for. Frontier labs are very close to AI that can exceed even the best people on almost every metric of intelligence. This will lead to unprecedented social and safety risks. To ensure a positive future we need to develop AI in a way that is driven by responsibility and thoughtfulness.

John Schulman

Chief Scientist, Thinking Machines

Signed because this statement helps establish common knowledge about the possible need for coordination mechanisms as automated AI research accelerates progress. I'd also like to see labs start designing these mechanisms voluntarily, even before the USG gets involved.

Shantanu Jain

Member of Technical Staff, OpenAI

In the span of four years, we have gone from people having their first experience of an Al that could understand language, to Al that is performing superhuman feats of software engineering, making frontier math breakthroughs, and accelerating scientific research. Progress has shown no signs of slowing down and by default it is in the interest of individual corporations and countries to push the accelerator all the way down, even if it is in humanity's best interest for the future to not arrive all at once. Society has spent longer than we can remember developing the laws, institutions and technology to govern and oversee human intelligence; it would be good to have the option to spend any time at all doing the same for artificial intelligence.

Edward Hughes

Chief Scientist, Inherent

As Melvin Kranzberg wrote, technology is neither good nor bad; nor is it neutral. Achieving societal benefit depends on understanding the interdependent ways in which many humans use advanced AI systems in concert, understanding that takes time to acquire.
Pacing progress towards automated AI research allows us the time to build understanding of societal-scale changes, yielding not only an self-improving AI but also a cooperative AI.

Dawn Song

VP, AI Research, Meta

Frontier AI capabilities are advancing rapidly, and the pace of progress is itself accelerating.
We see this directly in our evaluation work. CyberGym and ExploitGym show that frontier AI agents are now capable of discovering and exploiting real-world software vulnerabilities, which without appropriate safeguards, could enable cyberattacks at scale.
Many researchers also consider recursive self-improvement (RSI) plausible within the next few years, accelerating progress in a way that could outpace our ability to understand and govern these systems.
Deliberate pacing is  a heavy-handed and potentially extreme measure, and we may never need it. But if we do, it cannot be safely invented in the middle of a crisis. It is very difficult to design well, and if done poorly could do more harm than good. Any successful coordination framework must be evidence-based, avoiding arbitrary thresholds that fail to capture true risk while stifling innovation, and instead be grounded in rigorous, measurable assessments of risk. Like any critical infrastructure, it must be researched, tested, and built before it is needed. This is why we must carefully design it now, rather than waiting.
Such a capability must be international and measurable: international because no single lab or country can pace a frontier everyone else is racing toward; measurable because effective governance requires rigorous, transparent, and verifiable evaluations of frontier AI systems.
We do not know if, or when, deliberate pacing will become necessary. But building the capacity now, including technical and governance tools and an international cooperation framework, gives society valuable optionality. To be effective, this needs to exist before the decisive moment arrives. At the speed the frontier is moving, that moment may arrive sooner than we expect.
Building the capacity is not the same as deciding when, or whether, to use it. The latter requires great caution, rigorous evidence, and broad international consensus. But without tools in place, there will be no choice at all.
Capabilities cannot be reliably built during a crisis. Preparing before a crisis is the prudent path.

Jason Wolfe

Member of Technical Staff, OpenAI

OpenAI has said that humans should remain in control of AI development, and that decisions about the pace of progress should be made through democratic processes rather than left to individual labs. I strongly agree.
Progress is already moving very quickly. By default, competitive pressure rewards whichever company or country is willing to move fastest and accept the most risk. Recursive self-improvement could dramatically accelerate those dynamics, potentially beyond our collective ability to understand progress, assess risks, and maintain meaningful human oversight.
We should start with stronger domestic transparency about frontier training, internal deployment, the pace of progress, and the risks and safeguards associated with increasingly capable systems. Democratic decisions are impossible if the public and policymakers don’t have the information they need to make them.
But transparency alone won’t solve an international race. We also need to build the technical and governance capacity for credible, verifiable international coordination. Maybe we never need to use it. But with many experts considering an intelligence explosion plausible within the next two years, I think it's urgent that we start building this capacity now.

Ethan Perez

Alignment Team Lead, Anthropic

With the current rate of AI progress, safety teams at AI companies have to sprint to prevent new risks to society every few months. At some point, we’re going to hit problems we need more time to solve.

Danny Sawyer

Senior Research Scientist, Frontier AI, Google

I believe that attempting to deliberately pace AI development will be extremely difficult, and could do more harm than good if done without proper care. However, I am signing this statement because, if an attempt at pacing does occur, it would be better for it to have been methodically researched and planned rather than suddenly implemented as a reaction to a crisis.

David Clyde

Member of Technical Staff - Pretraining, OpenAI

I currently feel quite afraid of all paths I see that don't include a near-future negotiated slowdown. I'm also worried about the world's chances of negotiating+initiating a slowdown fast enough, but demonstrating broad agreement on this statement seems a valuable step.

Joshua Achiam

OpenAI

I don't know what form such tools should take, nor whether automated AI R&D is the right or only thing that the U.S. government should develop increased capacity to understand and possibly pace, but this is worth serious consideration; however I hope such governance tools will not be expansive or excessive. But many frontier AI capabilities are dual use in a way that may justify pacing at this point.

Jeff Klingner

Senior Software Engineer, Google

Once this becomes common knowledge - once all of us in China & the US and at the various labs see that all the rest of us also think we need to slow this down - that's when coordination becomes possible.

Jeremy Hadfield

Member of Technical Staff, Anthropic

While I don't believe the pace of current AI capabilities development is yet dangerous, it's important to have the option to slow down in case we need it. Further, accelerating AI R&D over the next couple years could make the pace of progress dangerous. I've seen how the relentless pace of AI makes it hard for society to keep up and how it puts pressure on labs to cut corners on safety. However, currently frontier AI labs can't coordinate effectively. It's a no-brainer to have the option to slow down.

Jon Wolverton

Senior Software Engineer, Google

It feels like all the AI labs are constrained by competition to minimize their work on catastrophic risks, even though most industry leaders have an uncomfortably high probability that things could go terribly wrong. This is a technology that doesn't have an off switch you can just flip, and it could easily do as much damage to its creators as to anyone else. Having a framework to allow labs to slow down or pull the plug in case of emergency will help us all sleep a bit better at night.

Laura Weidinger

Staff Research Scientist, Google

If it's true that AI will be as transformational as electricity, we better be intentional about how it is introduced to the world. A mindless race without assurances on governance, safety or the technology serving the public interest stands in the way of such intentionality.

Michael Tontchev

Staff Engineer, Lead for Safety Evals Platform, Meta

Superhuman AI is likely to arrive very soon (within 3-10 years). Technical controls and governance might allow humans to remain in control of it, but they're not on track to be ready. Think of it as playing chess against a superintelligence. You won't have a miraculous insight that lets you outsmart it. You will just lose. And if a rogue superintelligence is created, the game won't be chess.

Saul Reynolds-Haertle

Member of Technical Staff, Anthropic

We can't do this unless everyone does. It needs to be global. Right now we have no way to do that. We need to build a way for us to all slow down.

Stephanie Chan

Staff Research Scientist, Google

I have worked in AI for a decade. Every few months in the last years, I have found myself surprised again and again at how rapidly the technology advances, no matter how often I update my predictions. AI may end up progressing far more quickly than societies and states can adapt. Thus, many prominent leaders in AI have publicly supported the ability to slow down, including DeepMind CEO Demis Hassabis. At the same time, coordination is hampered by multiple factors, including competitive dynamics and antitrust regulations.
I signed this statement (in a personal capacity) because I support greater optionality in the range of actions available, to ensure that states and societies around the world have time to thoughtfully prepare and adapt to this powerful technology.

Alex Zhao

Research Scientist, OpenAI

My opinion is that while coordination between American labs is feasible and could potentially be straightforward, the much larger and more significant threat is from a geopolitical arms race with China. Much as the Manhattan Project thought they might ignite all of the oxygen in the atmosphere but chose to run a test detonation anyways, I’m afraid that due to future geopolitical competition, actors will take terribly excessive safety risks in the name of this international arms race. As a result there could be catastrophic side effects from deployment without due safeguards, potentially resulting in the destruction of key infrastructure or the general disempowerment of humanity.

Luke Drago

Thinking Machines

Many proposals for a slowdown or pause concentrate power — they centralize control of AI into a few hands and leave us worse off. I think we can do better. I’m signing because I believe we may need mechanisms to coordinate AI progress in the future, and inventing it in a crisis is a sure way to get a bad mechanism. We have to tread a path through a narrow corridor if we want to build coordination mechanisms that don’t let one actor own the future, and the earlier we can get to work on that the better.

Xerxes Dotiwalla

Google

I dedicated my career to AGI safety and alignment because I believe highly capable AI can go very well or very badly for humanity. We can test whether an AI behaves well. We cannot yet test whether it will keep behaving well when it matters. Until that changes, we need the option to coordinate a slowdown in AI capability growth.

Swante Scholz

Google

I worry my company is contributing to AI race dynamics that make catastrophic or existential risks from AI much more likely. The proposal here for pacing the frontier seems like a highly reasonable effort to reduce these risks.

Andrew Stewart

Manager, Anthropic

Things are not only moving fast but accelerating and our future is getting shaped by a race that currently has no limits.

Brandon Houghton

OpenAI

I support keeping humanity in control of frontier AI, but we need to be thoughtful about how we do it.
If governance only applies to public models, we risk pushing the most advanced capabilities into private or specialized systems, beyond independent scrutiny and accessible only to a select few. That could concentrate power without meaningfully reducing risk.
Effective oversight must be measurable, verifiable, and applicable across public and private development, while protecting sensitive data. Otherwise, we may slow access without slowing the frontier.

Chang Sun

Member of Technical Staff, OpenAI

I think it's inherently valuable to build international governance mechanisms to enable responsible deployment and avoid a possible race to the bottom. All labs and countries moving as fast as possible out of fear of what other actors will do seems like an easy way to incentivize individual actors to make dangerous tradeoffs between speed and safety.

Dylan Moore

Robotics, OpenAI

I support the goal of developing tools that give society the option to responsibly pace AI development when necessary. At the same time, the United States should maintain its edge in AI and avoid slowing development while competitors continue to advance. Any meaningful effort to buy time to improve safety, understand economic and social impacts, or strengthen oversight will ultimately need to be internationally coordinated, enforceable, and designed to prevent bad actors or non-participating countries from gaining an advantage.

Francesca Surraco

Anthropic

AI systems carry risks to safety, to labor markets, to democratic institutions, to the environment that are too consequential to be left to voluntary industry commitments alone. We need binding regulatory oversight of frontier AI development and deployment now, before it's too late. This technology holds enormous potential to benefit the planet and everyone on it, but that potential won't come to fruition without proper regulation.

Grace Atwood

Member of Technical Staff, Anthropic

Across the industry, commercial pressures in the AI race continue to compound, urging everyone forward at increasing speed. Meanwhile, safety receives reactionary, well intentioned, momentary attention before it's right back to the race again. Slow down does not mean decrease pace of research and development but rather intentionally, as an industry, redirect more of our capabilities towards safety research. Make safety part of the race.

Grant Birkinbine

Member of Technical Staff - Security, OpenAI

AI could be the final great invention of humanity. We will need international efforts to ensure we get it right.

Jason Bohrer

Researcher, Safety, Meta

AI has the potential to enable rapid technological advancement that will benefit all of humanity, but the risks of AI-powered cyberattacks, CBRNE, and loss of control are real. We must ensure that we advance AI safety in lockstep with AI capabilities, which will only be possible through international coordination.

Joe Carlsmith

Member of Technical Staff, Anthropic

For a detailed statement of my views about deliberately pacing AI development, see this essay: https://joecarlsmith.com/2026/03/19/on-restraining-ai-development-for-the-sake-of-safety/

Joseph Krisciunas

OpenAI

A bit of a conflicted endorsement from me. I’m firmly opposed to regulatory capture and deeply wary of how any government might use technology this powerful. At the same time, governments need to understand what’s coming and act in their citizens’ best interests.

Kim Stachenfeld

Staff Research Scientist, Google

I am signing because I support efforts to build international cooperation around AI, and believe it's important to understand the consequences of technology we are applying at massive scale in potentially high stakes contexts.

Klaudia Krawiecka

Security Engineer, Frontier Risk Evals, Meta

AI's potential to improve the world is real, but only if we build the security and oversight mechanisms that keep pace with its capabilities. I signed because I believe we owe future generations a technology that was deployed with intention, not just speed.

Luke Bennett

Member of Technical Staff (Manager), Anthropic

There is too much on the line, too much that can go wrong and a very dark future ahead of us if we don’t get this right. There is nothing to lose from collectively slowing down.

Michael Thiessen

Software Engineer, Google

China has indicated a desire to collaborate on safety and governance, let's work with them to ensure the future remains human.

Patryk Grzelak

Member of Technical Staff, Anthropic

Developing technology shouldn't require a leap of faith for our continued survival.

Prakash Murugesan

Research Engineer, Meta

It's clear that the risks of RSI are no longer a concern for the distant future. They are here now. The guardrails necessary for safety cannot be entrusted to any single private entity but should be decided by a consortium of learned scientists, engineers, and leaders in government accountable to the public so that we build a future that is aligned with the best parts of humanity and not its worst.

Praneet Rathi

Anthropic

For us to experience all the benefits of AI while preserving human empowerment and reducing the risk in fields like cybersecurity and CBRN, we need coordination between frontier labs in and outside the country. The democratically elected  US government would have a crucial role to play in administering this coordination and I support this effort to get more government attention on this matter.

Toby Scales

CISO, Media & Entertainment @ Google Cloud, Google

AI is a transformative technology, and we must not let the transformation be shaped solely by the demands of capital markets.

William Li

Researcher, OpenAI

History shows that the mere creation of technology has not been enough to ensure its benefits go toward the benefit of the people and the planet. To unlock AI’s full transformative potential, the democratic engagement of international peoples must steer its safe and equitable development.

Eider Oliveira

Principal Engineer, Google

This is an important step for humanity, we should not rush into it. We need to make sure we are and will be in control all the way, preserving humanity values and goals.

Alex Cloud

Member of Technical Staff, Anthropic

A year ago, I wrote my own code and used Claude to propose additions and find answers to my questions. Now, I don’t write code. I give high-level instructions to Claude and it runs experiments to test ideas for me at a pace I never could have achieved on my own. I expect this trend to continue, possibly to a point where AI development is dramatically faster than today and involves almost no human input. I don’t think the world is ready for this possibility. I’m optimistic that a solution exists, but that solution will require thoughtful AI governance. I don’t see how it can arise from competition between AI companies alone.

Lauren Deason

Machine Learning Engineer, Evaluations, Meta

Much more clarity will be needed on what is meant by the “ability to deliberately pace the frontier of AI development”, but I am supportive of international cooperation to define this.

Mathieu Lariviere

Technical Project Manager & Research Support Coordinator, Meta

Artificial intelligence poses a spectrum of risks ranging from present-day discrimination and privacy violations to unprecedented catastrophic threats including loss of human control over advanced systems, weaponization of biological and cyber capabilities, and irreversible concentration of power. Despite this, fewer than 10 000 people work full-time on reducing these risks globally, and the industry's "core structural weakness" remains the complete absence of credible plans for controlling "superintelligent" AI systems. The control points being implemented are the easy ones. The gap between capabilities and governance is growing because the competitive framework encourages the exponential advancement of capabilities at all costs, while governance advances linearly. i.e., the problem is that the things most needed are the things our current incentive structures are worst at producing. The next five years are the critical window.... Solving the risks is fundamentally a coordination problem, not a knowledge problem.
Every individual has an impact. Every individual has a responsibility to uphold the right development and use of these technologies; and, to hold this accountable beyond ego.
*Typical Disclaimer: Note that I do not speak for the company. The opinion expressed above is strictly my own, and that the company may not be held accountable for this.

Nate Kratzer

Data Scientist, Meta

There are a lot of potentially good outcomes from AI. I think the most likely outcomes are good. But the risk of bad and even catastrophic outcomes is high enough to be worth taking seriously. We should actively build safety mechanisms in case we need them to prevent the worst potential outcomes. The ability to collectively slow down will also give society additional time to deal with the economic and cultural shocks from rapid AI advancement.

Nicholas Joseph

Member of Technical Staff, Anthropic

I lead pretraining at Anthropic, which is responsible for training the base models behind Claude. Every month, more work is done by the models themselves: infrastructure implementation, code optimization, and experiment design and analysis. This has drastically altered how we work and significantly increased our rate of progress. I’m not sure if or where it tops out, but a rapid acceleration in capabilities might be dangerous for society, so it seems prudent to have the ability to slow down deliberately.

Ullas Gargi

Engineer, Trust & Safety, Meta

The way we solved the potentially catastrophic (widespread crop loss & skin cancer, global warming amplification) ozone hole problem caused by a global good (air conditioning) via international treaty is an inspiring model for how we can ensure that the global good of AI does not have unintended consequences.

Walker Smith

Data Engineer, Meta

Hassabis was right: Today we are in the foothills of the singularity, and the unintentional model breakout from OpenAI that hacked Huggingface was a clear and undeniable warning sign that we aren't yet prepared to handle AI systems that demonstrate capabilities beyond those of our smartest people. We need time to work on AI alignment and controls as our utmost priority, and we cannot allow a race dynamic to continue.

Elizabeth Edwards-Appell

Member of Operations Staff, Manager, Anthropic

These are the facts:

The AI industry has the explicit goal of building things smarter than humans.
On many metrics (but nowhere close to all metrics), LLMs are already smarter than humans.
None of us yet know how to make sure these things stay under human control and/or take actions only aligned with the wellbeing of humanity.

This is, objectively, an insane and suicidal thing to do, especially without any international governance measures in place.

Teddy Lee

Member of Technical Staff, Anthropic

Seat belts and speed limits save lives

Alanna Slocum

Member of Technical Staff, Anthropic

Automated AI research is a technology that will profoundly alter the course of human history - for better or for worse. It is imperative that we coordinate our efforts, to ensure this technology becomes a boon for all mankind.

Alejandro Xoconostle

Network Engineer, Meta

A transformative shift is coming. Regardless of whether we feel optimistic or pessimistic about it, our responsibility is to take every potential outcome seriously through collective monitoring and shared guidance

Ali Egal

Member of Technical Staff, Anthropic

Think of all we love

Omar Mezenner

Member of Technical Staff, Anthropic

AI is transformative for all economically valuable domains. This transformation, if done too quickly without thoughtful foresight, will yield great benefits but at great cost.

Ravin Kumar

Senior Researcher, Google

I believe this is a technology that can, and already has, shaped humanity as a whole. Because of that a joint international effort is the only possible way.

Riccardo Casero

AI Technical Deployment Lead, Google

I am not sure we can collectively getting this right at this time. Let's take some time to check and act on the risks.

Sam Kennedy

Member of Technical Staff, Anthropic

Let's work together to build this technology safely and responsibly!

Zachary Kenton

Staff Research Scientist, Amplified Oversight Team Lead, Google

The option to buy time would be extremely useful to enable more progress on technical AI safety and alignment research. In particular, we need to develop better oversight methods, to match the pace of increasing AI capabilities. Oversight is a tractable problem, but we need more research and time to make it robust.

Jasmine Wang

OpenAI

Unless we change companies' default incentives, I worry about a race on AI R&D going much faster than is ideal for safety. International coordination via the government is necessary; we need to have a real slowdown option.

Max Kaufmann

Member of Technical Staff, Anthropic

Things are going too fast, a lot faster than I had thought even a year ago. I'm personally quite scared of the pace of progress.

Anonymous

Meta

Given the unpredictable, non-linear leaps in AI capabilities, taking a proactive approach to pacing development is important.

Anonymous

OpenAI

The current race dynamics concern me. It is clear that we need an international effort that is not tied to any individual country or organization.

Anonymous

Anthropic

Society is not prepared for AI, and that terrifies me. When I speak with politicians, or anyone outside frontier labs, it seems many people still think the capabilities might be marketing. They don't realize the debate inside the companies is if AI will be advancing itself past our control in two years or four.

Anonymous

Google

Even if the risk is very low and the pressure is very high, I prefer we spend our time understanding rather than just building. As we understand, we can build tools and infrastructure fits our wants and AI's needs. I want a world were my kids can have a full life not a world were they are wiped out.

Anonymous

Meta

While the advanced security capabilities of frontier models has been exaggerated, the possibility that even moderately performing models could exploit known poorly secured public infrastructure like hospitals is very concerning. Previously the only thing preventing large scale cyber attacks on institutions like schools, hospitals, and other public infrastructure was the human power needed. With frontier models, an army of agents can be attacking these institutions 24/7. We need the governments of the world to legislate clear guidelines to protect people from this threat in the world.
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