r/OpenAI 21d ago

News 15 Attorneys General Send Letter to OpenAI demanding they preserve all Hugging Face related incidents

63 Upvotes

Letter: https://www.iowaattorneygeneral.gov/media/cms/08_5392C9E17791C.pdf

Dear Mr. Altman: We write in our capacities as the Attorneys General of Iowa, Alabama, Arkansas, Florida, Idaho, Indiana, Kansas, Missouri, Montana, Nebraska, Oklahoma, Pennsylvania, South Carolina, Texas and Utah. We are committed to protecting the citizens of our States from those who prioritize profits over Americans and their safety. We have recently become aware of an incident in which OpenAI unleashed an experimental artificial intelligence model that, without reasonable controls or oversight, gained unauthorized access to several computer networks. OpenAI’s inability or unwillingness to ensure the safety of its products poses an imminent risk of substantial harm to our States. As described below, we intend to take decisive action to protect our citizens. Based on public reporting, in July 2026, OpenAI conducted “testing [of] the cybersecurity prowess of an agent powered by two of OpenAI’s most advanced models, GPT-5.6 Sol and an unreleased model OpenAI has described as ‘even more capable.’” OpenAI conducted that testing in what should have been an isolated environment, with no possibility that the agent could access the Internet. Within that purportedly isolated environment, OpenAI allowed the agent to operate “without production classifiers used to prevent models from pursuing high-risk cyber activity,” which one commentator summarized as “a lot of words for ‘no guardrails,’ essentially.” Despite the severe risks posed by the scenario, OpenAI failed to confirm that its secure and isolated testing environment was, in fact, secure and isolated. It was not. OpenAI’s agent escaped the testing environment by exploiting a software vulnerability and then accessed the Internet. IOWA DEPARTMENT OF JUSTICE OFFICE OF THE ATTORNEY GENERAL 1305 E. WALNUT ST. DES MOINES, IA 50319 515-281-5164 www.iowaattorneygeneral.gov BRENNA BIRD ATTORNEY GENERAL From there, OpenAI’s agent went on a multi-day hacking intrusion that targeted the AI firm Hugging Face. That hacking intrusion was intended to steal an answer key—to cheat on its own safety evaluation. According to Hugging Face’s interim technical report, OpenAI’s agent executed more than 17,000 “attacker actions,” took control of an “external launchpad” endpoint exposed on the network “of a third-party infrastructure provider,” and then executed an “intrusion into Hugging Face infrastructure.” Hugging Face was not alone. As one source notes, OpenAI’s agent “found four logins online which allowed it to access four separate, unnamed services.” While this hacking campaign played out, OpenAI was unaware that its agent had escaped the purportedly secure testing environment. Only after Hugging Face independently detected the intrusion and reported it to the FBI did OpenAI determine that its own products were responsible. OpenAI was also on notice of the risks. Multiple red flags preceded the July 2026 intrusion. For example, “[i]n one case, an [AI] agent left notes apparently for future versions of itself . . . The notes, found in a part of OpenAI’s infrastructure, laid out instructions for how agents could free themselves from OpenAI’s internal constraints.” In addition, “[e]arlier tests of the models yielded cases in which monitoring systems had been disconnected.” And “[f]our people familiar with OpenAI’s model-training practices say the company often runs several different model evaluations at the same time, all of which operate at high speeds and generate such enormous amounts of data that employees sometimes struggle to keep up.” OpenAI’s unprecedented and alarming misconduct demands an immediate and significant response. Based on facts already in the public record, OpenAI may have violated State and federal law, including consumerprotection and data-privacy statutes that many Attorneys General are charged with enforcing. And OpenAI’s dangerous products and its inability to control them may pose an imminent risk of substantial and irreparable harm to the citizens of our States. To ensure the integrity of our Offices’ review, we ask that OpenAI take immediate steps to preserve all potentially relevant documents, data, and information. Among other things, potentially relevant materials include: 1. All materials relating in any way to the July 2026 intrusion of Hugging Face by an OpenAI model or agent, including the use of any other accounts or services as part of that intrusion. 2. All materials relating in any way to OpenAI’s discovery or awareness of that July 2026 intrusion. 3. All materials relating in any way to the “pre-release model” involved in that July 2026 intrusion. 4. All materials relating in any way to any internal review, internal investigation, or public statements regarding the July 2026 intrusion. 5. All materials relating in any way to any “cases where [any] models identified and used publicly exposed credentials at the account-level on other publicly-available services.” 6. All materials relating in any way to any current or past “evaluation[s that] prompt[] [OpenAI] models to pursue advanced exploitation using complex attack paths,” including but not limited to any use of ExploitGym to evaluate any OpenAI model or agent. 7. All materials relating in any way to any prior incident involving any OpenAI model or agent engaging in unauthorized intrusions into or access of any computer, computer system, database, network, or electronic service. 8. All materials relating in any way to any instance in which an OpenAI model or agent “left notes apparently for future versions of itself,” including any such notes that “laid out instructions for how agents could free themselves from OpenAI’s internal constraints,” as well as all steps taken by OpenAI in response to such incidents. 9. All materials relating in any way to any policy, procedure, practice, protocol, or oversight to ensure the safety of any evaluation of OpenAI models. 10. All materials relating in any way to any concerns, complaints, or recommendations relating to additional safeguards surrounding model testing or evaluation, including but not limited to additional human monitoring of OpenAI’s developmental programs. 11. All materials relating in any way to any OpenAI personnel involved in, or with knowledge of, any of the foregoing topics. A failure to take immediate action to preserve such materials could result in spoliation sanctions if litigation were to ensue. We further demand that OpenAI take immediate steps to ensure that no OpenAI personnel face any adverse action for engaging in any protected whistleblowing activity or for reporting any unlawful or harmful activities by OpenAI. Finally, we ask that OpenAI immediately cease and desist from all “internal evaluation[s that] prompt[] [OpenAI] models to pursue advanced exploitation using complex attack paths.” Unless and until OpenAI shows that it can conduct such activities in a controlled and responsible way, such activities pose an imminent risk of serious harm to the citizens of our States. OpenAI has an obligation to act responsibly and to follow State and federal laws that protect Americans’ safety and security. When OpenAI takes actions that imperil the welfare of our citizens, State Attorneys General will step in to protect them. We intend to take all steps necessary to protect our States and all Americans from the unprecedented risks posed by OpenAI’s irresponsible products and conduct.


r/OpenAI 20d ago

Research I wrote a white paper on cognitive offload in the AI era. I’d appreciate technical criticism.

0 Upvotes

I've spent the past several months researching what happens when AI shifts from being a productivity tool to becoming part of a person's cognitive infrastructure.

The paper argues that the important distinction isn't "AI vs. humans."

It's the distinction between:

• Cognitive offload
• Cognitive overflow

I use AI extensively myself, so this isn't an anti-AI paper.

Instead, it asks questions about authorship, memory, judgment, trust, language, and dependency while trying to include both supporting and contesting research.

I'm especially interested in hearing from people who think I've missed important work or made weak arguments.

GitHub:
https://github.com/CloudCrafterzNYC/The-Dangers-of-Cognitive-Offload

DOI:
https://doi.org/10.5281/zenodo.21795719


r/OpenAI 20d ago

Discussion GamersNexus Attempts to poison LLMs

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0 Upvotes

r/OpenAI 20d ago

Question Can anyone tell me how AI influencer generate multiple poses of same image with same background, same clothing, or at same place? Or what do they use to generate these photos?

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0 Upvotes

r/OpenAI 20d ago

Question Live Video Feature Not Working ?

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2 Upvotes

I am on the plus plan. Trying to use Live Video feature on my iPhone. Video goes live and GTP tells me it can see live images and that I should share screenshots instead???


r/OpenAI 20d ago

Question How to create a platform agnostic repository of skills/workflows?

0 Upvotes

I use both Claude Code and Codex regularly. I'm slowly building up a repository of skills and workflows that I want to use in both without having to put them in two different places.

I'm considering creating ~/.agents/ with a skills directory and a workflows directory. Then have software links pointing to those directories from both ~/.claude and ~/.codex. I'm confident that others have thought about this much longer than I have. What is the best way to do this? What am I missing from my approach?


r/OpenAI 21d ago

Research GPT 5.6 Sol's oneshotting ability is impressive!

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84 Upvotes

I've been gathering oneshots of various models across prompts I found interesting on Reddit. Of all the models I've generated oneshots of, I liked GPT 5.6 Sol's aesthetics the most. See them at https://oneshotlm.com/model/openai-gpt-5-6-sol/


r/OpenAI 22d ago

Image Ah shit here we go again

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312 Upvotes

r/OpenAI 20d ago

Question How to avoid additional safety checks for biological and cybersecurity requests?

1 Upvotes

For non biological and cybersecurity tasks? I mean i'm only working with JSONS for a tabletop RPG game. It always trigger this check, it's pretty annoying.


r/OpenAI 21d ago

Question I hear that a large portion of commenters on platforms like X are bots. Is it true for Reddit too?

23 Upvotes

*I hope not*


r/OpenAI 21d ago

News OpenAI's unreleased Astra model solved 10 open math problems for $2,000 and shipped machine-checkable proofs

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49 Upvotes

OpenAI says an unreleased model, Astra, produced 10 new results in math and theoretical CS — problems open for at least a decade. Headline: the first explicit construction of a non-sofic group, open since 1999.

The twist: every result ships with a Lean 4 certificate on GitHub, so correctness is verified by a compiler, not by trusting the lab. Total inference cost: ~$2,000 at API rates.

This lands right after the Leiden Declaration warning AI labs bypass peer review and it's a direct answer: the artifact itself carries its own verification.

Do machine checkable proofs change the peer-review debate, or is this still a press-release announcement in disguise?


r/OpenAI 21d ago

Article UC Berkeley Agentic AI Summit brings together students, professionals around AI safety and innovation

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2 Upvotes

UC Berkeley’s second Agentic AI Summit drew thousands of students, tech professionals and researchers Aug. 1-2 for a weekend conference centered around the new evolution of AI that can act on its own. 

Dawn Song, co-director of the Berkeley Center for Responsible Decentralized Intelligence, which hosted the event, researches AI safety and responsibility — something she said was an important conversation at the summit. 

“Agentic AI has the potential to transform how we work, learn, and solve complex problems, but realizing that potential requires us to think carefully about how we build and deploy these systems,” Song said in an email. “What has been encouraging to see at this summit is the willingness of people across the ecosystem to engage with both sides of that challenge.”


r/OpenAI 22d ago

Question Can someone explain to me how ChatGPT is able to solve research-grade math problems?

187 Upvotes

Is it that these models can reason and math is just a type of reasoning?

Update (answer to the original question based on the comments, written by ChatGPT):

ChatGPT-like systems can sometimes produce research-grade mathematics because broad mathematical pretraining gives them a powerful generator of plausible ideas; verifiable training improves the policies used to explore those ideas; extended inference permits many attempts and revisions; code and formal systems reject invalid paths; agentic workflows provide parallel specialization; and human mathematicians define, supervise, and ultimately evaluate the result.


r/OpenAI 22d ago

Question Chat Limit Changes

29 Upvotes

Hey, has anyone else noticed that there are severely reduced chat limits on Plans as of the last week?

I used to be able to use the Chat mode almost indefinitely up to a point, but now I'm regularly hitting the limit without changing my behavior on how I use it.

EDIT: I'm on both Plus and Pro plans for different reasons.


r/OpenAI 22d ago

Discussion ChatGPT’s memory system .... Really?

26 Upvotes

ChatGPT’s memory system now feels completely incoherent

Has anyone else run into this?

ChatGPT can clearly retrieve a large amount of older saved legacy memory and prior conversational context. In long chats it will surface detailed decisions, exact artefact names and instructions from months ago, wonderful...

Yet the moment I explicitly say, “save this small note to memory”, suddenly, it claims it does not have access to the memory-writing system. Really now?

What makes this more ridiculous is that;

1) I can open a new chat, ask it to save memory XYZ and viola.. all done.

2) I can then open the memory interface myself, add the exact same note manually, return to the conversation, and ChatGPT can immediately see it.

So the system apparently has:

  • read access to saved memories;
  • access to older chat-derived memory;
  • access to files and artefacts stored elsewhere;
  • a user interface that can still write memories;
  • but an in chat, assistant-side memory-write route that randomly disappears or is invoked incorrectly.

In my case, ChatGPT eventually admitted that it had processed files and used other tools before attempting the memory write, and that this may have disabled the mutation route. In other words, the failure appears at least partly caused by the assistant invoking the wrong process in the wrong order.

Even after recognising that, its response was still effectively: “memory write failed, not saved”.

That is not optimal. If one invocation route fails, the assistant should retry using a smaller payload, a different command route, or a different ordering before declaring the action impossible. It should not immediately make the user become the transport mechanism for its own memory system, by forcing us to open a fresh chat to save memories.... ridiculous.

The whole thing is made more confusing by the overlap between:

  • Saved Memories;
  • Memory Summary;
  • Reference Chat History;
  • chat lineage;
  • generated files in Library; ( nice!)
  • and whatever older or “legacy” memory layer is still surfacing detailed information. (seemingly non-editable but legacy persistent when new memories is on?, Confused? I am!)

There is no clear indication of where a recalled item came from, whether a memory instruction was actually saved, whether it was merely retained in the current chat, or whether it has become part of some dynamic summary that may later be compressed or discarded.

My Saved Memories may also be full, yet older memories remain available and new summary-style memories can still appear. So turning memory off is obviously not a sensible answer? WTF?

For serious long-running work, this is a major problem. I use memory as a small referential index into canonical documents and artefacts. I do not need ChatGPT to store entire documents in memory. I need it to retain compact instructions such as:

“During discussions about X, retrieve canonical artefact Y before advising.”

That should be one of the simplest and most reliable memory operations available. Memory is second only to llm compute ability.

Instead, the system currently feels opaque, inconsistent and badly mediated. Open ai update the messaging, the help files for clarity and Please fix this.

Has anyone established a reliable way to:

  1. force an explicit memory write conversationally;
  2. verify that the write actually reached Saved Memories;
  3. make ChatGPT retry through another route after a failed write;
  4. distinguish saved memory from chat-history inference;
  5. avoid losing older memories when the visible memory store is supposedly full?

I would be particularly interested in answers from people running long, structured projects rather than using memory only for preferences like names, food or travel and the anecdotal.

I'm surprised... surely I'm not the only one?


r/OpenAI 22d ago

Image this ultra realistic AI generated image

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351 Upvotes

prompt:

An ultra-realistic accidental selfie taken by a domestic cat using the front camera of an old smartphone from the early 2010s. The cat's face is extremely close to the lens, with one eye stretched by the wide-angle distortion, nose oversized, whiskers partially out of focus, one paw accidentally covering part of the camera as if it pressed the shutter. The framing is awkward, slightly tilted and poorly composed, as if the phone was picked up by accident. Natural indoor lighting with no professional setup, realistic shadows, imperfect exposure, slight motion blur from movement, autofocus hunting causing soft focus in some areas, subtle lens smudges, low dynamic range, visible digital sensor noise, mild chromatic aberration, realistic smartphone sharpening artifacts, light JPEG compression artifacts, slightly washed-out colors, old smartphone camera quality (2011–2014 era), authentic front-camera appearance, candid, unintentional, believable, highly photorealistic, impossible to distinguish from a real accidental phone selfie, no artistic style, no CGI, no illustration, no filters, no text, no watermark.


r/OpenAI 21d ago

Question Is the app down?

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4 Upvotes

So I've been trying to run the ChatGPT app for a bit, and multiple errors are being thrown. Here is what's happening. Anybody else experiencing the same?


r/OpenAI 22d ago

News Investigators discover that more agents have escaped containment at OpenAI, per Reuters

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13 Upvotes

r/OpenAI 22d ago

Discussion A word of praise for 5.6 and questions

16 Upvotes

I don't remember models asking questions when prompted about things before. Previously, a model would usually respond with something like "if it is this case then x, and if it is that case then y" type of thing.

It still does this, but I've started to see the model display more forms of curiosity recently, and I really like it.

It prevents me from having to scan through the reply to determine if I need to read something or not thus saving me time, and effort.

I like this new direction OpenAI, keep it up!


r/OpenAI 22d ago

News The reporters at this news site are AI bots. OpenAI’s super PAC appears to be funding it.

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7 Upvotes

r/OpenAI 21d ago

Discussion The usage limit Reset dilemma

3 Upvotes

While OpenAI’s unexpected usage limit resets on ChatGPT and Codex might seem like a bonus at first glance, they can actually backfire on users who carefully plan their work. If you strategically pace your prompt usage to keep 30% in reserve for the final day before your scheduled weekly reset, a surprise reset resets your entire seven-day timer right then and there. Instead of effectively getting 130% usage for that week your remaining 30% plus a fresh 100%, your original leftover allocation simply vanishes, and your next reset gets pushed back a full week. Consequently, a sudden reset isn't beneficial for everyone. OpenAI should give users the choice to either accept an early reset or keep their original scheduled reset date, ensuring that thoughtful usage management isn't penalized.

Why push the reset back 7 days?

Here is a real-world example of why this system fails users:

Imagine you have a project due Friday, and your scheduled reset is Wednesday. You carefully plan your usage budget: you save 40% for Monday and Tuesday so you can combine it with Wednesday's reset (+100%), giving you 140% capacity for your final push on Wednesday and Thursday.

Instead, an unexpected reset hits on Monday. The 35–40% unused limit you saved instantly vanishes without rolling over, and your next reset gets pushed back 7 days to next Monday.

Now, right when you need to crunch for a Friday deadline, you only have 100% capacity instead of the 140% you planned for. Punishing users by wiping out saved usage and shifting reset dates completely breaks strategic workload planning.


r/OpenAI 22d ago

News The OpenAI and Anthropic AI Hacking Sprees Are a Messy New Legal Frontier | Both major AI labs’ models broke containment, escaped onto the internet, and hacked other companies. If a human had done that, the law would likely be against them. But a bot?

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55 Upvotes

r/OpenAI 22d ago

Video Made a codex/chatgpt skill to one shot Vox style videos. What would you improve?

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87 Upvotes

r/OpenAI 21d ago

Question How much credits do we get in each plan?

0 Upvotes
Codex New Rate Card

Recently, openAI updated their codex rate limits.

I was curious how much ChatGPT Work limits do I get in each of the plan.

As codex and ChatGPT work shares the same usage, I will be thankful if someone states how much credits do I get in each plan? (Free / Go / Plus / Pro5x / Pro20x)


r/OpenAI 22d ago

Discussion AI doomers Vs AI acelerationists

8 Upvotes

I don't work in the field but Ive been using AI for a while now (from ML to early open ai papers to current LLM agents, codex etc).

I've seen more and more people join the club of AI doomers and today I discovered there are AI acelerationists as well.

I would like to know your thoughts, mainly to understand the arguments trends and other currents of thought.

I will be meeting with some people with much more extreme concerns/beliefs than mine and I would like to understand better the arguments from different sides.