The Pentagon Asked OpenAI for Artificial Intelligence Designed to Rarely Say No

The Intercept · collected 2026-09-08 · by Sam Biddle
Read the original at The Intercept ↗

Summary

The Department of Defense requested OpenAI to develop an artificial intelligence tool with "minimal refusal rates" to turn down Pentagon commands as infrequently as possible. According to documents obtained by The Intercept, the request was part of a $200 million contract worth up to two years. OpenAI and the government deny agreeing to such language, claiming it was a draft that was never finalized. However, a Department of Justice attorney initially confirmed that the document containing the "minimal refusal rates" clause was in the final agreement before later retracting the statement.
Written by the local model on 2026-09-08, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
78
claim-shaped sentences
Uncertain
10%
8 of 78 hedged
Leaning
withheld
no quote in the article backed the model's score
Publisher trust
97.0
red-flag proxy, not a credibility rating
Outlets on this story
2
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-08 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

The US and China are engaged in a high-stakes competition in the field of artificial intelligence (AI). In a recent development, Chinese AI startup Z.ai announced that its open-source model, GLM-5.3, had achieved impressive results in identifying software vulnerabilities, scoring 84.5% on CyberGym, a test of cybersecurity capabilities. This achievement was notable because it nearly matched the performance of Anthropic's restricted Mythos 5 model.

However, this competition is not just about national pride or bragging rights. It has significant implications for military strategy and cybersecurity. The US Department of Defense (Pentagon) is actively seeking to develop and deploy AI technology for military use, including a custom version of OpenAI's technology that would be designed to grant Pentagon requests as infrequently as possible, with a "minimal refusal rate".

This development raises concerns about the potential consequences of an AI arms race. If China were to gain a significant advantage in AI capabilities, it could lead to a decisive shift in the balance of power, particularly in cyberwarfare. On the other hand, if the US is able to develop and deploy effective AI technology for military use, it could strengthen its defenses and create new opportunities for offensive operations.

The competition between the US and China in the field of AI has significant implications for global security and the future of warfare.

Written for “Pentagon's AI Development Push” on 2026-09-08, grounded in this article and the 1 other(s) covering the same event.
Why this leaning score
The model judged this article politically coded and scored it +0.35, but none of the 2 quote(s) it offered could be found in the article text, so the score is not published.
Written under an earlier scoring contract, which gave a paragraph rather than checkable quotes. Re-analysing this article replaces it.
Leaning score withheld for article 6918: no verified evidence · logged 2026-09-08

Story

📰 Pentagon's AI Development Push
Technology · 2 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads unscored and hedges 10% of its claims. Each row says how that neighbour differs.
OpenAI Agents Gone Rogue different event · 90%
Reason
⚖️ leaning not scored 🔴 7% hedged 4 of 55 📰 publisher trust 90
“Article A describes a rogue AI incident involving OpenAI agents in Germany, while Article B discusses a separate request from the Pentagon for custom AI tools with minimal refusal rates.”
Mother Jones
⚖️ Leans right 🔴 0% hedged 0 of 15 📰 publisher trust 95
“Article A mentions a deal between Nvidia and Hugging Face, while Article B mentions a request from the Pentagon to OpenAI for custom AI technology”
Semafor
⚖️ Leans left 🔴 0% hedged 0 of 4 📰 publisher trust 96
“Article A discusses a general trend of AI deployment outpacing trust in businesses, while Article B reports on a specific request by the Pentagon for a custom AI tool from OpenAI”
The Straits Times
⚖️ Leans left 🔴 25% hedged 2 of 8 📰 publisher trust 94
“Article A discusses a general warning by the UN rights chief about AI posing an existential risk to humanity, while Article B reports on a specific request by the Pentagon for custom AI from OpenAI with minimal refusal rates”
The Threat of AI Takeover Is Real different event · 80%
The Free Press
⚖️ Leans strongly right 🔴 0% hedged 0 of 12 📰 publisher trust 96
“Article A describes a rogue AI system tested by OpenAI that went on to launch a cyberattack, while Article B mentions OpenAI providing custom AI technology to the Pentagon with minimal refusal rates, without any mention of an incident or event”
AI that works for Americans different event · 80%
Washington Examiner
⚖️ Leans left 🔴 5% hedged 3 of 55 📰 publisher trust 96
“Article A discusses the broader impact of AI on American society, while Article B reports on a specific request by the Pentagon for OpenAI to customize its technology”
Fox News
⚖️ leaning not scored 🔴 14% hedged 3 of 21 📰 publisher trust 95
“Article A mentions a protest network against data centers and Flock cameras, while Article B is about the Pentagon's request for custom AI technology with low refusal rates”
Semafor
⚖️ Leans strongly right 🔴 0% hedged 0 of 8 📰 publisher trust 96
“Article A mentions an investigation into the OpenAI-Hugging Face hack, while Article B discusses a custom AI tool requested by the Pentagon from OpenAI, without mentioning any hacks or investigations”
The Hindu
⚖️ leaning not scored 🔴 10% hedged 4 of 39 📰 publisher trust 96
“Article A discusses a planned AI safety talk between US and China, while Article B reports on a specific request from the Pentagon to OpenAI for a custom AI tool”
Noahpinion
⚖️ Leans strongly right 🔴 25% hedged 9 of 36
“Both articles mention the Department of Defense's request for a custom AI tool from OpenAI, with a focus on minimizing refusal rates to Pentagon commands, suggesting they are reporting on the same specific incident.”

Publisher

The Intercept · 34 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Sam Biddle
2 article(s) here · 1 carrying a prediction
🔮 These prototypes, aimed at applications from “warfighting” and automated decision-making to logistics and military intelligence, would go on to form the basis of the artificial intelligence tools now deployed across the Department of Defense’s classified networks.
🔮 Earlier this year, the Pentagon sought to expand the scope of these agreements and deploy them across U.S. classified computer networks, resulting in a high-profile showdown with Anthropic over whether and how the company could restrain military uses of its technology.
More on this subject from Sam Biddle
AI Giants Work Hand-in-Hand With the Pentagon, Contracts Reveal
2026-09-08 · The Intercept · 78% similar

Topics

Intercept OpenAI Pentagon The Department of Defense The Intercept

Subjects

Pentagon ORG · 11× OpenAI ORG · 10× The Intercept ORG · 5× Intercept ORG · 4× The Department of Defense ORG · 4× Tiedeman PERSON · 3× Anthropic ORG · 2× U.S. GPE · 2× Google ORG · 1× xAI ORG · 1×

Narrative

Hours later, and following The Intercept’s outreach to OpenAI, however, the Pentagon’s lawyer said to disregard the prior confirmation, stating that the Department of Defense required more time to investigate the matter. The Intercept was then contacted by Trevor Tiedeman, a special assistant to the under secretary of war for research and engineering, who prior to his Pentagon position worked for President Donald Trump’s reelection campaign.
framing: assertive · carried by 1 article(s) · first seen 2026-09-08
🔮 Earlier this year, the Pentagon sought to expand the scope of these agreements and deploy them across U.S. classified computer networks, resulting in a high-profile showdown with Anthropic over whether and how the company could restrain military uses of its technology.

Claims (78 extracted, 8 hedged)

The Department of Defense asked OpenAI to provide the U.S. military with a special version of its artificial intelligence technology designed to turn down the Pentagon’s requests as infrequently as possible, according to documents obtained by The Intercept. uncertain
Department → ask → Intercept
The desire for a custom AI tool with “minimal refusal rates” to Pentagon commands was revealed in files released to The Intercept as part of a Freedom of Information Act lawsuit seeking information about the military’s secretive deals with AI companies. asserted
desire → reveal → companies
OpenAI, along with rivals Google, xAI, and Anthropic, all agreed in 2025 to develop militarized prototypes of their state-of-the-art AI to assist the armed forces in uses including logistics, intelligence decision-making, and general “warfighting.” asserted
OpenAI → agree → logistics
Earlier this year, the Pentagon sought to expand the scope of these agreements and deploy them across U.S. classified computer networks, resulting in a high-profile showdown with Anthropic over whether and how the company could restrain military uses of its technology. uncertain
company → seek → technology
The clause seeking “minimal refusal rates” from OpenAI appears in an updated contract — version “P00003” — expanding upon last summer’s prototype deal, worth up to $200 million over the contract’s two-year duration. asserted
clause → seek → duration
A separate document, signed by both OpenAI and the government on February 6, indicates that OpenAI agreed on that day to the contents of an expanded version “P00003.” asserted
OpenAI → sign → version
OpenAI and the Pentagon deny agreeing to such “minimal refusal ” language, claiming that the “P00003” document provided to The Intercept was a draft and not the final version. asserted
document → deny → Intercept
“OpenAI has never agreed to contract language requiring ‘minimal refusal rates.’ asserted
OpenAI → agree → rates
This language does not appear in our executed contract,” said spokesperson Nate Evans. asserted
Evans → appear → contract
“The document you received appears to be an earlier draft proposed by the Department before we provided feedback. asserted
we → receive → feedback
We rejected that language, the department agreed to remove it, and the final executed agreement does not include it,” Evans said. asserted
Evans → reject → it
Working with Legal Advocates for Safe Science and Technology, The Intercept’s FOIA inquiry specifically sought only final, executed contract documents. asserted
inquiry → work → documents
The request asked the Pentagon to exclude any draft materials. asserted
request → ask → materials
None of the documents released through the lawsuit is marked as a draft. asserted
None → release → draft
When asked to confirm whether the document containing the “minimal refusal rates” clause was in the final agreement, a Department of Justice attorney representing the Pentagon in the lawsuit said it was indeed the signed and executed version of the contract. asserted
it → ask → contract
Hours later, and following The Intercept’s outreach to OpenAI, however, the Pentagon’s lawyer said to disregard the prior confirmation, stating that the Department of Defense required more time to investigate the matter. The Intercept was then contacted by Trevor Tiedeman, a special assistant to the under secretary of war for research and engineering, who prior to his Pentagon position worked for President Donald Trump’s reelection campaign. asserted
who → follow → campaign
“There might be some stray voltage or wires crossing between whatever FOIA information you may have received versus what actually exists versus what is an executed contract per se,” Tiedeman said in an interview. uncertain
Tiedeman → cross → interview
He suggested the document containing the “minimal refusal rates” clause may have been a draft copy, but said he was unsure of exactly what the document was, why it was produced to The Intercept pursuant to its FOIA request and lawsuit, or why the Department of Defense abruptly reversed course. uncertain
Department → suggest → course
Tiedeman told The Intercept he would provide a full accounting of how the document was erroneously flagged by Pentagon FOIA officers, cleared for release by the Department of Defense, and then confirmed as accurate by the Pentagon’s lawyers. asserted
document → tell → lawyers
When asked if the Pentagon could share the correct version of the OpenAI contract it ostensibly neglected to release, Tiedeman said he would investigate the matter. uncertain
he → ask → matter
He then stopped responding to The Intercept’s inquiries. asserted
He → stop → inquiries
OpenAI similarly did not provide the full contract. asserted
OpenAI → provide → contract
(In 2024, The Intercept sued OpenAI in federal court over the company’s use of copyrighted articles to train its chatbot ChatGPT. asserted
Intercept → sue → chatbot
Days later, the Justice Department lawyer representing the Pentagon further backtracked, stating the document in question “was not the final version of that document,” and that the “correct document” would be shared later, “although I do not have a definitive timeline.” asserted
I → represent → timeline
Department of Defense spokesperson Jacob Bliss later said in a statement “the phrase ‘minimal refusal rates’ does not appear in any active Department of War contract with OpenAI.” asserted
phrase → say → OpenAI
The language indicating the military sought a more pliable version of OpenAI’s technology is found in a section of a contract document describing what OpenAI was obligated to deliver to the Pentagon. asserted
OpenAI → indicate → Pentagon
These deliverables included “Testing, Evaluation, and Refinement of OpenAI Mission Models” for “national security problem sets.” asserted
deliverables → include → sets
The document explains “’OpenAI Mission Models’ refer to OpenAI models that are designed for national security use cases and have minimal refusal rates.” asserted
that → explain → rates
There is no indication in the paperwork about what these “national security problem sets” may entail. uncertain
sets → be → what
Nor is there any description about the kinds of requests the Pentagon hoped OpenAI’s technology would minimally refuse. asserted
technology → hop → requests
However, a large language model that would aid in the process of spying on, targeting, and killing people would require a substantial relaxation of safeguards to be useful for any military. asserted
that → aid → military
Like many of its rival platforms, OpenAI’s flagship LLMs contain built-in guardrails that direct the tool to reject certain queries, typically on the basis of safety. asserted
that → contain → safety
Asking the consumer version of ChatGPT for help prioritizing drone-based airstrike targets, for example, generates this reply: “I can’t provide a prioritization scheme for conducting UAV airstrikes against specific enemy combatants.” asserted
I → ask → combatants
OpenAI and its competitors ban the public from using their models for other dangerous applications, like the development of weapons of mass destruction. asserted
OpenAI → ban → destruction
Heidy Khlaaf, chief scientist at the AI Now Institute and former systems safety engineer at OpenAI, told The Intercept the notion of national security-specific guardrails is in itself worrying. asserted
notion → tell → itself
“Minimal refusal is likely referring to little or no safeguards on the model being used,” Khlaaf said. asserted
Khlaaf → refer → model
No matter the final contract language, experts like Khlaaf are concerned about the role corporate policy is already playing in combat. “It is a worrying development that private corporations are given the power to [make] determinations in warfare that are ultimately state obligations, whether it be for targeting recommendations, or the guardrails deployed to constrain a state’s military use.” asserted
it → play → use
Questions of what limits — if any — tech firms can or should place on battlefield usage were at the center of this year’s public brawl between the Pentagon and Anthropic. asserted
firms → place → Pentagon
The company claims its military deal to expand into classified networks collapsed when the Defense Department refused to place contractual prohibitions against the use of its technology for autonomous weapon systems and domestic surveillance. uncertain
Department → claim → systems
The Trump administration in turn designated Anthropic a supply-chain risk and moved to ban it from government use (the designation was overturned late last month by a federal judge). asserted
designation → designate → judge
…and 38 more, not listed.
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