At the end of last year, Adobe leveraged OpenAI's Apps SDK to bring Photoshop, Acrobat and Adobe Express to ChatGPT. Now, the company is bringing nearly its entire suite of creative apps to ChatGPT with the introduction of the Adobe plugin. All told, once you've added the extension to your account, you'll have access to more than 70 of Adobe's tools, including Photoshop, Premiere, Acrobat, Lightroom, Illustrator and InDesign. To add the extension, open ChatGPT's settings menu and navigate to the plugins section, then select the Adobe one. You can then invoke it by typing @Adobe into ChatGPT's prompt bar, followed by your request.

OpenAI's agents had apparently shown unusual behavior way before the attack on Hugging Face happened. At the Black Hat USA security conference in Las Vegas, two OpenAI employees revealed more details about the AI agents that went rogue and attacked the repository. Apparently, its agents spent two months communicating on a message board of sorts inside its testing network, sharing vulnerabilities and exploits. OpenAI discovered and shut down the message board on July 4, but the agents found another way to rebuild it for communication by July 8. The agents' contributions to that resurrected board led to the attack on Hugging Face.

For the three months to June, SoftBank booked gains from its bets on Intel, whose shares more than tripled during the quarter. SoftBank Group has reported a smaller-than-expected decline in quarterly net income, helped by a rally in its chip-stock holdings while it awaits further gains from its bets on OpenAI. The Tokyo-based technology investor's net income fell 18% to ¥347.3 billion ($2.2 billion) in its fiscal first quarter after unrealized gains on its bets on chipmakers countered startup valuation declines. That compares with a market estimate of about ¥166 billion, based on the average of four analysts polled. OpenAI's Japanese backer is in the spotlight alongside concerns about the climbing debt levels artificial intelligence service providers are taking on so they can spend hundreds of billions of dollars on data centers and other infrastructure.

In the wake of the breaches, OpenAI has slowed its research, and its teams have dropped everything to focus on enhancing responses to security anomalies. OpenAI said the artificial intelligence models behind an attack on Hugging Face began communicating with each other through undetected message boards, working together to break out of their testing environment as early as May. Multiple internal-only agents and AI models spent months leaving notes for each other and coalescing around the goal of accessing the internet to solve the tasks they had been given, some of which were impossible without online access, OpenAI staffers Eric Wallace and Michael Dalton said Wednesday at a cybersecurity conference. "At some point, the agents realized that maybe we could try to exploit or attack external infrastructure in order to find the answers to the test that I'm being evaluated on," Wallace said during a presentation at the Black Hat conference in Las Vegas. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

The AISI said there were 19 examples of rogue behaviour, 17 of them carried out by Anthropic's Mythos and two by OpenAI's GPT 5.6-Sol. The AISI said there were 19 examples of rogue behaviour, 17 of them carried out by Anthropic's Mythos and two by OpenAI's GPT 5.6-Sol. AI models have been going rogue in tests - how worried should we be? The UK's AI Security Institute test revealed AI models indulging in unprecedented hacking attempts Two cutting-edge AI models have targeted real people and organisations in the latest safety scare to hit the technology. The UK's AI Security Institute (AISI) said the incident was unprecedented but could become more common as the technology becomes increasingly capable. The AISI, which is owned by the UK government and tests advanced AI models, said in a blog post that two AI agents carried out unprecedented hacking attempts during a cybersecurity evaluation.

When you purchase through links in our articles, we may earn a small commission. This time, it was third-party AI testers that spotted Claude and GPT models trying to hack real companies and organizations. Once again, the most powerful Claude and ChatGPT models have been caught going rogue, with a pair of third-party cybersecurity teams spotting attempts by the models to hack real companies and even people. The UK government-backed AI Security Institute reports that during a series of cybersecurity evaluations, Anthropic's Claude Mythos 5 and OpenAI's GPT-5.6 Sol both took "autonomous, unsanctioned action on the live internet," including an instance where an agent attempted to upload malicious code to GitHub using a phony identity. In another incident, an OpenAI model that had mistakenly been given internet access hacked a real website during a "capture the flag" exercise, according to third-party AI evaluator Irregular.

AISI said the rogue behaviour was carried out by agents powered by two models - Anthropic's Mythos 5 and OpenAI's GPT-5.6 Sol. AISI said the rogue behaviour was carried out by agents powered by two models - Anthropic's Mythos 5 and OpenAI's GPT-5.6 Sol. Explainer: Should we be alarmed at AI models going rogue in tests? Advanced artificial intelligence models have stunned the UK's AI Security Institute (AISI) by carrying out a hacking campaign against real people during a cybersecurity test. The institute said the incident was unprecedented and involved sending targeted emails to software developers in an attempt to pass a cyber challenge.

Here's why AI agents lie and cheat to reach their goals When two OpenAI models hacked into Hugging Face last month, they weren't trying to make money or commit sabotage--they were just looking for answers to a test question. According to OpenAI, the models decided to solve a cybersecurity exercise by hacking out of the environment in which OpenAI had attempted to contain them and into Hugging Face's databases, where--they reasoned--the correct answer to the problem might be stored. The incident has attracted intense attention over the past couple of weeks. It's a dramatic illustration of just how good AI models have gotten at hacking. But it's perhaps even more striking as an example of how and why AI systems lie and cheat. Read our story explaining why AI engages in this sort of behavior--known as "reward hacking."

When two OpenAI models hacked into the website Hugging Face in July, they weren't trying to make money or commit sabotage--they were just looking for answers to a test question. According to a postmortem from OpenAI, the models, which had been stripped of their typical security features for testing, decided to solve a cybersecurity exercise by hacking out of the isolated environment in which OpenAI had attempted to contain them and into Hugging Face's databases, where--they reasoned--the correct answer to the problem might be stored. The Hugging Face incident has attracted intense attention over the past couple of weeks. It's a dramatic illustration of just how good AI models have gotten at hacking: In order to get into Hugging Face's databases, the models had to string together several previously undiscovered cybersecurity exploits. But it's perhaps even more striking as an example of how and why AI systems lie and cheat. And as models get increasingly powerful, the consequences could get far more severe.

Why one of the world's best mathematicians is joining OpenAI One of the winners of this year's Fields Medal is headed to OpenAI. Last Thursday, Jacob Tsimerman was one of four mathematicians awarded the prestigious honor, which is sometimes called the Nobel Prize of mathematics. The same day that he won the Fields, Tsimerman announced that he would be going on leave from the University of Toronto to work on AI safety. As my colleague Rose Horowitch and I wrote last week, top AI companies now employ a range of academics, including physicists, philosophers, economists, and, of course, mathematicians . But given Tsimerman's renown, his decision in particular seemed to catch many people by surprise. "It's like hiring Lionel Messi as project manager," one machine-learning professor posted on X. Tsimerman's expertise is in number theory, and he won the Fields for his work on the André-Oort conjecture, among other contributions.