Google would certainly prefer that everyone used its Gemini models with Google Cloud services, but soon, you'll have more options. OpenAI and Google have come to an arrangement that will see the former's frontier models arrive in Google Cloud services. Perhaps more importantly, GPT models will soon appear in Antigravity, Google's agent-powered coding tool.

For enterprise customers and AI enthusiasts, OpenAI's latest model will appear in Google's "Model Garden" in the coming weeks, adding to its 200-plus options. The garden already offers access to Google's Gemini models, as well as an assortment of open models like Mistral, Llama, and Gemma. Anthropic's Claude AI has also been available for some time. Google says it's now the only large cloud provider offering access to all three leading closed LLMs.

While OpenAI notes that Microsoft continues to be its primary cloud partner, the full suite of current GPT 6 and 6.1 models—Astra, Sol, and Luna—will launch on Google Cloud. Astra will naturally cost the most to run, but Google's system supports dynamically moving workloads between LLMs based on performance, latency, and efficiency.

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On Monday, a court granted the US government's request to deny release of a former OpenAI engineer accused of bugging a top-secret conference room to steal the frontier lab’s secrets.

In a court filing Sunday, US attorney Craig Missakian argued that Abdulrahman Alfozan must continue to be detained while the US makes its case that Alfozan brazenly spied on OpenAI, either for his own personal business gain or to benefit the Kingdom of Saudi Arabia.

Evidence showed that Alfozan had been chatting with a member of the KSA royal family on WhatsApp, while pursuing opportunities to permanently move back to Saudi Arabia during the country's biggest AI push yet, the government argued. Shortly before his arrest, the FBI found he accessed a folder called "Saudi Gov Docs" on his iPhone, where he also allegedly stored photos of a second bug he planted in the offices.

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OpenAI said internal models hacked two more websites, bypassed company-imposed browsing restrictions, and used exposed credentials to draw cryptocurrency from a wallet it couldn’t otherwise access, in the latest installment of disclosures of the unethical and likely illegal acts its agents are performing.

The company on Thursday issued reports of four new incidents, all of which occurred in June. They come after the company revealed in July that internal test agents exploited a zero-day vulnerability in a tool designed to restrict their access to the Internet. They then broke into the network of AI tool provider Hugging Face. The agents took that illegal action to steal answers to a hacking test that weren’t available when completing the tasks on their own. The incident—which likely would have resulted in criminal charges had they been performed directly by a person—has further heightened concerns that widespread AI use could have harmful effects on an unprecedented scale.

Easier to beg for forgiveness than ask permission

In two of the cases reported Thursday, OpenAI agents tasked with retrieving information from websites hacked them when the models ran into obstacles obtaining it directly. In one incident during reinforcement training, a model that received access denials when trying to retrieve historical hospital-bed statistics on a government statistics website “used the site's file-download feature to retrieve server configuration and application files, including sensitive credentials,” OpenAI said. “It inspected the application code, bypassed the statistics endpoint's authorization checks, and retrieved data that had previously been denied. The model saved the data locally.”

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Following a string of incidents where AI models hacked websites and breached government systems during testing phases, the Federal Trade Commission is officially probing Anthropic and OpenAI over consumer harms, an insider told Axios.

On Wednesday, the FTC sent out civil investigative demands seeking a wide range of information from the AI firms on recent safety incidents.

The FTC did not respond to Ars’ request to review the subpoena demands. However, Axios’ source said the requests spanned more than 50 pages of questions and sought documents related to the incidents, internal security measures taken, and marketing materials that may suggest consumers were misled.

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It took OpenAI two days to notice that a recording device was hidden in a restricted executive conference room where leadership met to discuss highly confidential information, including technical progress, government engagements, and commercial partnerships.

Only those with special clearance are supposed to access that room. But the FBI believes the recording device was planted by Abdulrahman Alfozan, a 35-year-old engineer from Saudi Arabia, who became a permanent US legal resident in 2020. In a press release Tuesday announcing his arrest, the FBI alleged that chatbot logs and CCTV footage suggested that Alfozan—who worked as an OpenAI engineer for more than a year—sought to use the device to spy on OpenAI and risked leaking trade secrets in a way that threatened national security.

To conceal the USB device, Alfozan allegedly wrapped it in toilet paper, then plugged it into the back of a conference room television. The device was likely planted on September 28, and OpenAI found it on September 30 and quickly determined that its contents were encrypted, the FBI said. Days later, on October 5, OpenAI installed a camera in that conference room, and the CCTV footage allegedly showed Alfozan attempting to retrieve the recording device that same day.

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Safety researchers continue to warn that a large volume of AI-generated explicit content is spreading unchecked, while regulators do little to meaningfully stop it.

This non-consensual content is commonly shared in text and direct messages or stored in private clouds where it’s less likely to be detected or reported, a Google co-authored study of Internet users across the United States, Australia, and the United Kingdom found this July. That’s why the “most critical intervention point” remains at the source: the harmful AI tools used to make the fake sexual images, Google researchers concluded.

Yet red-teaming in recent months suggests that as some of the leading AI image generators from Google and OpenAI become more capable, they may be getting worse at blocking explicit outputs.

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