Google launches Personal Intelligence for Gemini, allowing the AI to access data from Photos, YouTube, and Gmail to provide personalized recommendations and answers. PCWorld reports the feature initially requires Google AI Pro or Ultra subscriptions in the US, with broader availability planned for later. While offering enhanced convenience through data synthesis, Google warns users about potential inaccuracies and privacy considerations when enabling this opt-in feature. If you use Google apps like Gmail or Photos, Google already knows certain aspects of your life. The company is offering to make that knowledge more accessible via what it calls Personal Intelligence, which will synthesize that knowledge into Gemini.

AI's Hacking Skills Are Approaching an'Inflection Point' AI models are getting so good at finding vulnerabilities that some experts say the tech industry might need to rethink how software is built. Vlad Ionescu and Ariel Herbert-Voss, cofounders of the cybersecurity startup RunSybil, were momentarily confused when their AI tool, Sybil, alerted them to a weakness in a customer's systems last November. Sybil uses a mix of different AI models --as well as a few proprietary technical tricks--to scan computer systems for issues that hackers might exploit, like an unpatched server or a misconfigured database. In this case, Sybil flagged a problem with the customer's deployment of federated GraphQL, a language used to specify how data is accessed over the web through application programming interfaces (APIs). The issue meant that the customer was inadvertently exposing confidential information.

"We're going to get into a period of potentially unprecedented I.P.O. "But we are confident they're executable given the scale of these companies and the investor interest." These listings could create an enormous bonanza for Wall Street and Silicon Valley after years of lackluster offerings. They could set off a feeding frenzy among public market investors who have been waiting to get a piece of the A.I. boom, and Wall Street banks stand to make hundreds of millions facilitating the listings. That is stoking more excitement for the A.I. boom as it enters its fourth year, even as the question of a bubble intensifies.

Two years ago, companies like Meta and OpenAI were united against military use of their tools. Now all of that has changed. At the start of 2024, Anthropic, Google, Meta, and OpenAI were united against military use of their AI tools. But over the next 12 months, something changed. In January, OpenAI quietly rescinded its ban on using AI for "military and warfare" purposes, and soon after it was reported to be working on "a number of projects" with the Pentagon. In November, in the same week that Donald Trump was reelected US president, Meta announced that the United States and select allies would be able to employ Llama for defense uses.

Why the World's Best AI Systems Are Still So Bad at Pokémon Pillay is an editorial fellow at TIME. Pillay is an editorial fellow at TIME. Right now, live on Twitch, you can watch three of the world's smartest AI systems-- GPT 5.2, Claude Opus 4.5, and Gemini 3 Pro --doing their best to beat classic Pokémon games. At least by human standards, they are not very good. The systems are slow, overconfident, and often confused.

If you want to put people back on the moon, don't gut the agency in charge of getting them there. The senator wanted a promise. For the last six years--or maybe the last decade or quarter century, depending on how you count it--the United States and China had been locked in a space race, a contest to see which nation could put its people on the moon . Senator Ted Cruz wanted President Donald Trump's nominee to run NASA, Jared Isaacman, to pledge that the US would not lose. Cruz brought a little surprise to Isaacman's confirmation hearing last April. It was a poster of the moon. On one side stood three astronauts and a giant Chinese flag. On the other were two more figures in space suits, with the tiniest Stars and Stripes planted in the lunar soil . Cruz apologized for the imbalance. "My team used ChatGPT," explained the senator, who chairs the committee that oversees NASA. Then Cruz, with a bit more seriousness, asked Isaacman, "Do we have your commitment that you will not allow the scenario on the right of this poster to happen? That China will not beat us to the moon?" Isaacman, a billionaire entrepreneur who had paid for his own missions to space, replied, "Senator, I only see the left-hand portion of that poster."

When you purchase through links in our articles, we may earn a small commission. ChatPlayground AI lets you compare 25+ AI models side by side with unlimited lifetime access for $79--one prompt, better answers every time. AI is moving fast--and if you're only using one model, you're missing half the picture. ChatPlayground AI is built for people who want better answers, not just faster ones. It puts today's top AI models into a single interface so you can compare responses side by side from one prompt.

Large language models (LLMs) such as GPT, Claude, Gemini, and Grok have been deeply integrated into our daily life. They now support a wide range of tasks -- from dialogue and email drafting to assisting with teaching and coding, serving as search engines, and much more. However, their ability to produce highly human-like text raises serious concerns, including the spread of fake news, the generation of misleading governmental reports, and academic misconduct. To address this practical problem, we train a classifier to determine whether a piece of text is authored by an LLM or a human. Our detector is deployed on an online CPU-based platform https://huggingface.co/spaces/stats-powered-ai/StatDetectLLM, and contains three novelties over existing detectors: (i) it does not rely on auxiliary information, such as watermarks or knowledge of the specific LLM used to generate the text; (ii) it more effectively distinguishes between human- and LLM-authored text; and (iii) it enables statistical inference, which is largely absent in the current literature. Empirically, our classifier achieves higher classification accuracy compared to existing detectors, while maintaining type-I error control, high statistical power, and computational efficiency.

Meta-learning methods for regression like Neural (Diffusion) Processes achieve impressive results, but with these models it can be difficult to incorporate expert prior knowledge and information contained in metadata. Large Language Models (LLMs) are trained on giant corpora including varied real-world regression datasets alongside their descriptions and metadata, leading to impressive performance on a range of downstream tasks. Recent work has extended this to regression tasks and is able to leverage such prior knowledge and metadata, achieving surprisingly good performance, but this still rarely matches dedicated meta-learning methods. Here we introduce a general method for sampling from a product-of-experts of a diffusion or flow matching model and an `expert' with binned probability density; we apply this to combine neural diffusion processes with LLM token probabilities for regression (which may incorporate textual knowledge), exceeding the empirical performance of either alone.

Google's parent company hit a major financial milestone on Monday, reaching a $4tn valuation for the first time and surpassing Apple to become the second-most valuable company in the world. Alphabet is the fourth company to hit the $4tn milestone after Nvidia, which later hit $5tn, Microsoft and Apple . The spike in share price comes after Apple announced it had chosen Google's Gemini AI model to power a major overhaul of the iPhone maker's digital assistant Siri, which comes installed in every iPhone. Neither company disclosed how much the deal was worth. "After careful evaluation, we determined that Google's technology provides the most capable foundation for Apple Foundation Models," Apple said in a statement to CNBC . As tech stocks continue a years-long meteoric rise, fears of a bubble in the stock market persist; however, Wall Street's excitement for new avenues of investment in AI does as well.