What AI "remembers" about you is privacy's next frontier Agents' technical underpinnings create the potential for breaches that expose the entire mosaic of your life. The ability to remember you and your preferences is rapidly becoming a big selling point for AI chatbots and agents. Earlier this month, Google announced Personal Intelligence, a new way for people to interact with the company's Gemini chatbot that draws on their Gmail, photos, search, and YouTube histories to make Gemini "more personal, proactive, and powerful." It echoes similar moves by OpenAI, Anthropic, and Meta to add new ways for their AI products to remember and draw from people's personal details and preferences. While these features have potential advantages, we need to do more to prepare for the new risks they could introduce into these complex technologies. Personalized, interactive AI systems are built to act on our behalf, maintain context across conversations, and improve our ability to carry out all sorts of tasks, from booking travel to filing taxes.

From the Gemini Calendar prompt-injection attack of 2026 to the September 2025 state-sponsored hack using Anthropic's Claude code as an automated intrusion engine, the coercion of human-in-the-loop agentic actions and fully autonomous agentic workflows are the new attack vector for hackers. In the Anthropic case, roughly 30 organizations across tech, finance, manufacturing, and government were affected. Anthropic's threat team assessed that the attackers used AI to carry out 80% to 90% of the operation: reconnaissance, exploit development, credential harvesting, lateral movement, and data exfiltration, with humans stepping in only at a handful of key decision points. This was not a lab demo; it was a live espionage campaign. The attackers hijacked an agentic setup (Claude code plus tools exposed via Model Context Protocol (MCP)) and jailbroke it by decomposing the attack into small, seemingly benign tasks and telling the model it was doing legitimate penetration testing. The same loop that powers developer copilots and internal agents was repurposed as an autonomous cyber-operator.

Plus: TikTok won't be heading to court this week The first human test of a rejuvenation method will begin "shortly" Life Biosciences, a small Boston startup founded by Harvard professor and life-extension evangelist David Sinclair, has won FDA approval to proceed with the first targeted attempt at age reversal in human volunteers. The company plans to try to treat eye disease with a radical rejuvenation concept called "reprogramming" that has recently attracted hundreds of millions in investment for Silicon Valley firms like Altos Labs, New Limit, and Retro Biosciences, backed by many of the biggest names in tech. Today, an estimated 2.2 billion people still have either limited or no access to the internet, largely because they live in remote places. But that number could drop this year, thanks to tests of stratospheric airships, uncrewed aircraft, and other high-altitude platforms for internet delivery. Although Google shuttered its high-profile internet balloon project Loon in 2021, work on other kinds of high-altitude platform stations has continued behind the scenes. Now, several companies claim they have solved Loon's problems--and are getting ready to prove the tech's internet beaming potential starting this year.

No Phone, No Social Safety Net: Welcome to the'Offline Club' Across Europe's largest cities, people are gathering for semi-silent, offline hangouts, in search of an experience that isn't mediated through their smartphones. On cue, the room fell silent. A man seated to my left at a long wooden table began to scratch at a piece of paper with a coloring pencil. To my right, another guy picked up a book. Across the way, someone buried themselves in a puzzle.

'This train isn't going to stop': shocking Sundance film shows promises and perils of AI Is AI an existential threat, or an epochal opportunity? Those are the questions top of mind for a new documentary at Sundance, which features leading AI experts, critics and entrepreneurs, including Sam Altman, the OpenAI CEO, with views on the near-to-midterm future ranging from doom to utopia. 'The world is hurting right now': politics and protest hit the Sundance film festival The AI Doc: Or How I Became an Apocaloptimist, directed by Daniel Roher and Charlie Tyrell and produced by Daniel Kwan (one half of The Daniels, the Oscar-winning duo behind Everything Everywhere All At Once), delves into the contentious topic of AI through Roher's own anxiety. The Canadian film-maker, who won an Oscar in 2023 for the documentary Navalny, first became interested in the topic while experimenting with tools released by OpenAI, the company behind the chatbot ChatGPT. The sophistication of the public tools - the ability to produce whole paragraphs in seconds, or produce illustrations - both thrilled and unnerved him.

SoftBank Group is in discussions to invest as much as $30 billion more in OpenAI, a sharp increase in commitment that reflects founder Masayoshi Son's ambitions to play a central role in developing artificial intelligence. The Japanese company, already one of the ChatGPT-maker's biggest backers, is in deliberations to commit more capital toward the fast-growing startup, people familiar with the matter said. The maximum amount SoftBank is considering is $30 billion, one of the people said, asking to remain anonymous to discuss private talks. They cautioned that the discussions are fluid and the amount of funding could change. SoftBank's shares rose 5.8% in Tokyo on Wednesday. Son has been unwinding positions to increase its stake in OpenAI and ready capital for sweeping investments aimed at injecting AI in all devices.

Devastating impact of Minneapolis shooting on Trump is worse than expected: Poll reveals America's crushing verdict... and what he must do next Bodies are STILL in wreckage of private jet that crashed in Maine on Sunday, killing six including powerful lawyer's attorney wife School principal accused of shoplifting from Walmart using'stacking' method at self-checkout Melania's shock role in Trump's showdown with Kristi Noem revealed: MARK HALPERIN's fly-on-wall account of Oval Office meeting... and who is ACTUALLY taking the fall for Alex Pretti shooting I was barely eating but kept gaining weight. Then I discovered the'taboo' cancer doctors NEVER talk about. Now sex will never be the same... don't ignore these signs Harper Beckham, 14, puts on a stylish display in a fluffy coat and vintage Chanel bag in Paris with her family - after Nicola Peltz's heartbreaking comments about sister-in-law Devastating truth about Blind Side actor Quinton Aaron: More to this'than everyone is letting on', friends reveal... as co-star Sandra Bullock'monitors' situation The wild truth about my influencer sons, their psycho dad and how lawsuits nearly left them bankrupt - by Jake and Logan Paul's MOM Trump knifes'little Napoleon' Border Patrol commander over Minnesota mayhem as he declares: 'We'll de-escalate' Lost tomb of the mysterious'cloud people' unearthed after 1,400 years in'discovery of the decade' READ MORE: How AI cops will be used to patrol Britain's streets Scientists have uncovered four entirely new personality types that all ChatGPT users fall into. According to experts from the University of Oxford and the Berlin University Alliance, every chatbot user has a unique personality type, each with their own motivations. Some truly tech-savvy users fall into the category of ' AI enthusiasts'.

We study how to fine-tune LLMs using user-edit deployment data consisting of a set of context, an agent's response, and user edits. This deployment data is naturally generated by users in applications such as LLMs-based writing assistants and coding agents. The _natural_ origin of user edits makes it a desired source for adapting and personalizing LLMs. In this setup, there emerges a unification of various feedback types namely preferences, supervised labels, and cost that are typically studied separately in the literature. In this paper, we initiate the theoretical investigation of learning from user edits. We first derive bounds for learning algorithms that learn from each of these feedback types. We prove that these algorithms have different trade-offs depending upon the user, data distribution, and model class. We then propose a simple ensembling procedure to jointly learn from these feedback types. On two domains adapted from Gao et al. 2024, we show our ensembling procedure outperforms these methods that learn from individual feedback. Further, we show that our proposed procedure can robustly adapt to different user-edit distributions at test time.

OpenAI's latest product lets you vibe code science Prism is a ChatGPT-powered text editor that automates much of the work involved in writing scientific papers. OpenAI just revealed what its new in-house team, OpenAI for Science, has been up to. The firm has released a free LLM-powered tool for scientists called Prism, which embeds ChatGPT in a text editor for writing scientific papers. The idea is to put ChatGPT front and center inside software that scientists use to write up their work in much the same way that chatbots are now embedded into popular programming editors. Kevin Weil, head of OpenAI for Science, pushes that analogy himself. "I think 2026 will be for AI and science what 2025 was for AI in software engineering," he said at a press briefing yesterday.

Apple could unveil Gemini-powered Siri in Feb. The plan is now out everywhere Google sells its AI services. Google AI Plus, the company's most affordable AI subscription plan, is now rolling out in the US. It will cost you $8 a month for its features, though you can get it for $4 a month for the first two months for a limited time only. AI Plus gives you access to 200GB of storage, as well as access to the Gemini 3 Pro model, Deep Research and Nano Banana Pro inside the Gemini app.