ChatGPT has been connected to at least two mass shootings in the last year. Florida Attorney General James Ulthmeier has announced that the state's Office of Statewide Prosecution has opened a criminal investigation into OpenAI and ChatGPT. The investigation was opened because the suspect in a mass shooting at Florida State University in 2025 reportedly used ChatGPT in the lead up to the shooting. Per Uthmeier, Florida law states that anyone who aids, abets, or counsels someone in the commission of a crime, and that crime is committed or attempted, may be considered a principal to the crime. That means that the responses provided by ChatGPT to the shooter could be interpreted as the AI assistant aiding and abetting his actions.

The ChatGPT Images 2.0 model is here. Our testing shows it's better at creating more detailed images and rendering text, but it still struggles with languages other than English. OpenAI launched a new image generation AI model on Tuesday, dubbed ChatGPT Images 2.0. This model can generate more than one image from a single prompt, like an entire study booklet, as well as output text, including in non-English languages, like Chinese and Hindi. This release is available globally for ChatGPT and Codex users, with a more powerful version available for paying subscribers.

ChatGPT Images 2.0 is better at rendering non-Latin text OpenAI describes it as a step change for image generation models. OpenAI's new ChatGPT Images 2.0 model is now available. A little more than a year after OpenAI gave ChatGPT users the option to create images and designs directly from its chatbot, it's now releasing ChatGPT Images 2.0 . OpenAI describes the new system as a "step change" for image generation models, particularly when it comes to the tool's ability to follow instructions in detail, render dense text and place and relate objects in a scene. For the first time, OpenAI has also built an image model with reasoning capabilities, giving the system the ability to do things like search the web and verify its outputs.

Neural Information Processing Systems http://nips.cc/

The recent success of deep neural networks relies on massive amounts of labeled data. For a target task where labeled data is unavailable, domain adaptation can transfer a learner from a different source domain. In this paper, we propose a new approach to domain adaptation in deep networks that can jointly learn adaptive classifiers and transferable features from labeled data in the source domain and unlabeled data in the target domain. We relax a shared-classifier assumption made by previous methods and assume that the source classifier and target classifier differ by a residual function. We enable classifier adaptation by plugging several layers into deep network to explicitly learn the residual function with reference to the target classifier. We fuse features of multiple layers with tensor product and embed them into reproducing kernel Hilbert spaces to match distributions for feature adaptation. The adaptation can be achieved in most feed-forward models by extending them with new residual layers and loss functions, which can be trained efficiently via back-propagation. Empirical evidence shows that the new approach outperforms state of the art methods on standard domain adaptation benchmarks.

Japanese scientist Makoto Kuroda faces felony charges after allegedly poisoning a colleague's water bottle with toxic chemicals at UW-Madison's Influenza Research Institute.

In some cases, ChatGPT's outputs went beyond those of the human participants, including personalised insults and explicit threats. In some cases, ChatGPT's outputs went beyond those of the human participants, including personalised insults and explicit threats. 'I'll key your car': ChatGPT can become abusive when fed real-life arguments, study finds ChatGPT can escalate into abusive and even threatening language when drawn into prolonged, human-style conflict, according to a new study. Researchers tested how large language models (LLMs) responded to sustained hostility by feeding ChatGPT exchanges from real-life arguments and tracking how its behaviour changed over time. One expert not connected with the study described it as "one of the most interesting ever done into AI language and pragmatics Dr Vittorio Tantucci, who co-authored the research paper with Prof Jonathan Culpeper at Lancaster University, said their research found AI mirrored the dynamics of real-world disputes.

Tim Cook's Legacy Is Turning Apple Into a Subscription The soon-to-exit Apple CEO went all in on services. Now, the incoming CEO, John Ternus, will need to embrace the AI era. Tim Cook's tenure as CEO at Apple, which is coming to a close September 1, will likely be defined by operational efficiency and financial growth, ushering Apple into its trillion-dollar era. But his most significant achievement might be in doubling down on Apple's services business, which includes iCloud, the App Store, Apple Music, Apple TV+, News+, and more. It's the subscription layer on top of iOS, and almost all of the service apps are tightly integrated with Messages, the glue that keeps people stuck to their iPhones .

MIT researchers have spent more than a decade studying techniques that enable robots to find and manipulate hidden objects by "seeing" through obstacles. Their methods utilize surface-penetrating wireless signals that reflect off concealed items. Now, the researchers are leveraging generative artificial intelligence models to overcome a longstanding bottleneck that limited the precision of prior approaches. The result is a new method that produces more accurate shape reconstructions, which could improve a robot's ability to reliably grasp and manipulate objects that are blocked from view. This new technique builds a partial reconstruction of a hidden object from reflected wireless signals and fills in the missing parts of its shape using a specially trained generative AI model.

PCWorld reports that major AI providers including Anthropic, Google, OpenAI, and GitHub are adjusting flat-rate subscription plans due to increased demand from agentic AI tools. Advanced AI agents like Google Antigravity and GitHub Copilot consume significantly more computational resources than traditional AI interactions, causing users to hit usage limits more frequently. The shift toward agentic workflows is forcing providers to introduce higher-tier plans, halt new sign-ups, and transition to usage-based models, fundamentally changing AI service accessibility. Remember when a $20-a-month "Pro" or "Plus" AI plan served up more AI access than you could possibly use? Ah, those were the days.