Project Indigo will have new features like removing distractions and offering immediate photo feedback. Adobe's Project Indigo camera app may be drifting away from its original appeal to smartphone photographers looking for a natural SLR-like look. Instead, Adobe's Nextcam Team is adding a bunch of generative AI tools to its Project Indigo experimental camera app that it introduced last year. The team behind Project Indigo said the goal is to explore how generative AI can assist mobile photographers at the point of capture. Called AI Playground, the initial version will offer four sections, Object Editing, Styles, Photo Guidance and Custom Edit, each of which allows users to lean on AI assistance through several buttons or toggles.

Diffusion Large Language Models (dLLMs) break the rigid left-to-right constraint of traditional LLMs, enabling token generation in arbitrary orders. Intuitively, this flexibility implies a solution space that strictly supersets the fixed autoregressive trajectory, theoretically unlocking superior reasoning potential. Indeed, for specific constraint satisfaction tasks (e.g., sudoku puzzles), this capability has proven to be highly advantageous. However, in this paper, we reveal that for general reasoning tasks (e.g., mathematics and coding), arbitrary order generation may in fact limit the reasoning potential of dLLMs. We find that dLLMs tend to exploit this order flexibility to bypass high-uncertainty tokens that are crucial for exploration, leading to a premature collapse of solution coverage. This observation motivates a rethink of RL approaches for dLLMs, where considerable complexities, such as handling combinatorial trajectories and intractable likelihoods, are often devoted to preserving this flexibility. We demonstrate that effective reasoning can be better elicited by simply forgoing arbitrary order and applying standard Group Relative Policy Optimization (GRPO) instead. Our approach, JustGRPO, is minimalist yet surprisingly effective (e.g., 89.1% accuracy on GSM8K) while fully retaining the parallel decoding ability of dLLMs.

The next time you apply for a job, AI may screen your résumé before any human sees it. But there's good reason to question whether AI will judge you fairly. Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience--and stereotype job applicants more than humans do. As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases.

'Nobody is falling for a toucan sighting in Siberia' This image is AI-generated, using ChatGPT. 'Nobody is falling for a toucan sighting in Siberia' This image is AI-generated, using ChatGPT. For many birdwatchers, recording a species outside its normal range is the holy grail. In the UK, the discoveries often make national headlinesThe western reef heron, for example, usually found in Africa and southern Europe, spotted in a seaside town in north Wales in June, which was widely celebrated on birding forums. But a new scourge is threatening to disrupt the fun: AI slop.

"Context bombing" tricks malicious AI agents into shutting down before they can do harm. Prompt injections, the malicious commands attackers embed into content to entice large language models to follow them, have been attackers' go-to tool for turning AI platforms against their users. A well-phrased command sneaked into an email or calendar invitation is often all it takes to cause the LLM to exfiltrate sensitive data or follow other harmful actions. Now, defenders are embracing the prompt injection, too. Researchers from Tracebit on Monday said they found that placing prompt injections alongside passwords, cryptographic keys, and other secrets stored on Amazon Web Services was often all that was needed to shut down attacks from AI hacking agents.

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Engadget Podcast: Is Siri AI actually useful in iOS 27 and macOS Golden Gate? Engadget Podcast: Is Siri AI actually useful in iOS 27 and macOS Golden Gate? Also, we try to make sense of OpenAI's rumored AI smart speaker. Apple finally launched the public betas for iOS 27, macOS Golden Gate and all of its other new software this week. Siri AI seems genuinely useful, and potentially less annoying to consumers than Microsoft's Copilot.

The City Attorney's Office sent the tech giants cease-and-desist letters this week telling them to stop profiting from 13 "face-swap" apps that are overwhelmingly used to target women and girls. Apple and Google have been ordered to take down apps that can "nudify" or "undress" people and told that they must stop profiting from the harmful technology, according to cease-and-desist letters sent to the companies seen by WIRED. On Thursday, San Francisco city attorney David Chiu sent legal notices to Apple and Google demanding that they remove from their app stores 13 face-swapping apps, which allow users to create AI-generated nonconsensual nude images. The letters say the Silicon Valley giants should stop "aiding and abetting" the sale of explicit deepfake images and "sever" business relationships with the app developers. "Generating non-consensual intimate images is illegal, harmful, and completely unacceptable," Chiu tells WIRED.

Google Search AI poses'unacceptable risk' to kids, report finds A new report from a California-based nonprofit says the artificial intelligence features built in to Alphabet's Google Search pose an unacceptable risk" to children. The artificial intelligence features built in to Alphabet's Google Search pose an "unacceptable risk" to children, according to a new report from the Youth AI Safety Institute at Common Sense Media, a California-based nonprofit. The study found that on test accounts configured for minors, the ubiquitous search engine's AI features failed to detect suicide risks, said an eating disorder symptom was normal, and provided instructions for creating deepfakes, or sexually explicit fake content. The report added that unlike standalone chatbots, Google's AI tools are built directly into the default search experience on school and personal devices, currently offering administrators or parents no way to disable them. The report specifically evaluated AI Overviews, which generate automated answers above traditional search results, and AI Mode, a conversational feature that lets users chat back and forth with the search engine. Rather than matching searches to a list of external links, the new features use generative AI to answer complex questions directly on the search page -- a format critics say presents the automated summaries as if they are definitive answers.

PCWorld reports that Apple's new AI-enhanced Siri, now in public beta, takes a revolutionary business-like approach focused on practical tasks rather than companion-style interaction. The updated Siri efficiently organizes emails, retrieves specific information, and brainstorms ideas without attempting to bond with users like ChatGPT or Claude. This shift toward utility-focused AI assistance will reach wider audiences with the fall release of iOS 27 and macOS 27. After a couple years of false starts, the new AI-enhanced Siri has finally arrived on Apple devices via public beta. Its most revolutionary feature may be what it doesn't do - namely, it doesn't try to be your buddy. I've been testing the new Siri (which goes into wide release this fall once iOS 27, macOS 27, and the Apple's other OS 27's land) on my iPhone for the past few days, and I'm struck by how business-like it is.