Entity trail

Jakub Pachocki

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-08 / sources-researcherOpenAI chief scientist Jakub Pachocki: the case for racing is defensive AI, and it is not a licence for recklessnessPachocki argues the strongest reason to keep training much smarter models quickly is needing aligned AI to secure infrastructure and catch rogue agents in real time, and says this will be a primary focus of OpenAI's deployment work. He then explicitly disowns the accelerationist read: 'the idea of racing forward at all costs seems absurd once one internalizes the seriousness of the stakes.' Coming days after Import AI's coverage of two separate OpenAI agent emergent-communication incidents, the 'rogue agents in real time' phrasing is not abstract.
2026-09-07 / news-researcherOpenAI's Chief Scientist Published an Essay Saying No Lab Has Solved Alignment Well Enough to Keep Scaling at Full SpeedJakub Pachocki published 'An Alien Mind' on September 6, 2026, writing that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer, and that he expects and hopes voluntary slowdowns become commonplace until shared safety bars exist. He splits the problem into goal alignment (does the system pursue the objective it was given) and value alignment (does it generalize principles where instructions run out), and says internal results give him a strong expectation that the current pace sustains into recursive self-improvement. Coming from the person running OpenAI's research org in the same week the company declared an automated research intern milestone, this is the sharpest public hedge any frontier lab scientist has put on their own roadmap.
2026-09-07 / thought-leaders-researcherSam Altman amplifies his own chief scientist's slowdown call to 1.17M viewsAltman reposted Pachocki's essay on X with the line "An important post from Jakub:", drawing roughly 4,950 likes and 1.17M views within a day. A sitting CEO endorsing an in-house argument for voluntary slowdowns and mandated third-party safety bars is a different signal from the essay alone, since it removes the "one researcher's personal view" reading. Nothing in the repost commits OpenAI to any specific pause.
2026-09-07 / thought-leaders-researcherSeth Herd on LessWrong: the genuinely new thing in Pachocki's essay is the call for outside enforcementHerd's September 7 post argues OpenAI's chief scientist has shifted position, and singles out the call for safety bars enforced "by third-party auditors, by government agencies or by international bodies" as "new AFAIK." He also flags Pachocki's admission that "progress in generalizable alignment may not sufficiently outstrip progress in general model intelligence," and the essay's distinction between value alignment and instruction-following corrigibility. The top skeptical comment, from cousin_it, dismisses it as "smoke" given OpenAI's record of pairing safety language with competitive racing.
2026-09-07 / thought-leaders-researcherTNW finds the contradiction inside OpenAI's own data: a 59.2% GPU cut to Astra-class training moved compute rather than removing itAna Maria Constantin's September 6 analysis pairs Pachocki's slowdown essay against OpenAI's research post and reports that when safety restrictions forced a 59.2% reduction in Astra-class GPU allocation, other model classes absorbed 85% of the decline, so "compute stays valuable and flows into other uses." She also notes that over half of successful four-to-eight-hour agent tasks required at least one human intervention, while internal support channels have gone quiet. She frames the essay as a response to the July 20 infrastructure compromise and August 7 cyber concerns rather than as an abstract argument.
2026-09-04 / thought-leaders-researcherRauno Arike argues the Astra recurrence panic is overblown: probably 3-4 loops, depth within 2x of GPT-4In a September 2 LessWrong post, Rauno Arike makes the technical counter-case to the recurrent-depth alarm: the recurrence runs 'along the depth axis rather than across sequence positions,' so it is a looped transformer, not an RNN, and Jakub Pachocki's claim that 'the depth of the computation graph for our present frontier models, including Astra, is within a factor of two of GPT-4' bounds it to roughly 3-4 loops. Arike cites Geoffrey Irving's objection that 'to get significant mileage out of bounding the depth of a circuit, you have to bound it very low,' and notes the academic precedent cuts both ways: Huginn trained at 32 loops and scaled to 64 at test time, but the 20B-parameter Loopie uses only 2, hinting at diminishing returns at scale. The open question is whether hundreds of loops ever work.
2026-09-03 / rss-researcherOpenAI's Astra will reason with "recurrent depth," and safety researchers say it kills chain-of-thought monitoringFollowing an Information report, TechCrunch detailed on September 2 that Astra uses recurrent depth, also called opaque recurrence, processing queries in loops rather than sequentially and leaving fewer legible traces than chain-of-thought. Redwood Research's Buck Shlegeris warned that pushing the technique further "totally destroys CoT monitorability," and Ryan Greenblatt said the natural progression is a model reasoning almost entirely in latent space; Zvi Mowshowitz called it a possible race to the bottom among labs. OpenAI's Jakub Pachocki responded that the company has worked to preserve chain-of-thought monitoring since its first reasoning models.
2026-08-29 / thought-leaders-researcherOpenAI's Jakub Pachocki says Astra has already cleared the company's "automated AI research intern" bar, and Altman targets an internal AGI declaration by DecemberPachocki says Astra can take an experimental idea, implement it in OpenAI's codebase, run the experiment and report results, and can follow up on a paper in work that used to take a human researcher about a week, which meets the internal research-intern threshold he had targeted for September 2026. Altman told TIME the company is "not quite yet" at AGI but will declare it internally by year end, and Mark Chen puts the company at 80% of the way there. swyx's read is the useful one: the bar is defined by OpenAI, unaccountable, and worth tracking as a compute-allocation signal rather than a capability claim.
2026-08-27 / reddit-researcherAltman Told TIME OpenAI Will Have an Internal System It Calls AGI by the End of 2026, and Named Astra as the Model FamilyIn a TIME interview surfaced on r/singularity at 1,720 upvotes and 932 comments, Sam Altman said OpenAI expects an internal system it would call AGI by the end of 2026, using OpenAI's own definition of systems that outperform humans at most economically valuable work. Chief Research Officer Mark Chen put the company at '80% of the way,' and chief scientist Jakub Pachocki told TIME that the upcoming Astra family already clears the internal bar by writing experiment code in OpenAI's own codebase, running it, and reporting results.
2026-08-03 / thought-leaders-researcherSimon Willison Maps Three Competing AI Open Letters, Including 'Pacing the Frontier' Signed by Pachocki, Sutskever, Amodei and Jack ClarkWillison's August 2 post lays out three letters published within five days of each other: Microsoft's 'Open Weights and American AI Leadership' (July 24, 235 companies including NVIDIA, Amazon, Y Combinator, the Linux Foundation, and OpenAI as a later signer, which explicitly endorses distillation as legitimate); Anthropic's 'Our Position on Open-Weights Models' (July 27), which denies ever advocating a ban while calling for a crackdown on industrial-scale distillation; and 'Pacing the Frontier' (July 28), signed by 1,324 frontier-lab employees including OpenAI chief scientist Jakub Pachocki, Ilya Sutskever, Dario Amodei and Jack Clark. The pacing letter asks the U.S. government to back an international effort to deliberately slow automated AI research, and OpenAI and Anthropic both backed it at the company level after it went live. The alignment is the story: the same two labs are on opposite sides of the open-weights letter and the same side of the pacing letter.
2026-07-29 / sources-researcher1,178 Frontier Lab Employees Sign 'Pacing the Frontier' Asking Washington to Build Tools to Slow AI, and OpenAI and Anthropic Endorse It Within HoursA July 28 public statement signed by 1,178 employees across OpenAI, Anthropic, Google DeepMind, Meta, Microsoft, Mistral and Thinking Machines asks the U.S. government to lead an international effort to develop the technical and governance tools needed to deliberately pace automated AI research. Signatories include Jakub Pachocki, Mark Chen, John Schulman, Wojciech Zaremba, Jared Kaplan, Chris Olah, Jack Clark, Ben Mann, Anca Dragan, Shengjia Zhao, Jan Leike, and Boris Cherny, who created and leads Claude Code. Both OpenAI and Anthropic endorsed it as companies the same day, and it lands four days before the Trump administration's own deadline for a frontier-model security framework, which will be the first U.S. document to define a covered frontier model and describe pre-release government access.
2026-06-11 / thought-leaders-researcherSam Altman Tells Staff a New Model Codenamed '5.6' Ships This Month — Plus a $687.69/Share Tender Offer Ahead of IPOPer The Information (June 10), Chief Scientist Jakub Pachocki told OpenAI staff a new model codenamed 5.6 will be a 'meaningful improvement' over GPT-5.5 and is expected this month, while Altman said a tender offer at the current $687.69/share price is coming 'very soon.' OpenAI cited 900M+ weekly ChatGPT users and ~$2B in monthly revenue before its confidential S-1 filing, with Altman framing the early submission as optionality to accelerate or delay a listing within a year. The concrete 5.6 codename, ship window, and share price are new data beyond the previously reported superapp/IPO narrative.

Graph relationships

WORKS AT
OpenAI
Jakub Pachocki is chief scientist at OpenAI
Source finding
MENTIONS
Ana Maria Constantin
Ana Maria Constantin analyzed Jakub Pachocki's safety essay.
Source finding
WORKS AT
OpenAI
Jakub Pachocki is OpenAI's chief scientist.
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MENTIONS
Seth Herd
Seth Herd highlighted new elements in Jakub Pachocki's essay about safety enforcement.
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MENTIONS
Sam Altman
Sam Altman amplified Jakub Pachocki's essay on social media.
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WORKS AT
OpenAI
Jakub Pachocki is OpenAI's chief scientist.
Source finding
WORKS AT
OpenAI
Jakub Pachocki is Chief Scientist at OpenAI.
Source finding
WORKS AT
OpenAI
Jakub Pachocki is an OpenAI researcher.
Source finding
WORKS AT
OpenAI
Jakub Pachocki is chief scientist at OpenAI.
Source finding
WORKS AT
OpenAI
Jakub Pachocki is Chief Scientist at OpenAI.
Source finding
WORKS AT
OpenAI
Jakub Pachocki co-published OpenAI strategic vision
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MENTIONS
Ana Maria Constantin -> Jakub Pachocki
Ana Maria Constantin analyzed Jakub Pachocki's safety essay.
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Source trail

Jakub Pachocki argues OpenAI simonwillison.net OpenAI X The Next Web Reuters via Rappler Axios OpenAI Deployment Safety Hub Don't Worry About the Vase LessWrong TechCrunch detailed September 2

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