Gemini could be poking through your emails - here's how to stop it Gemini could be poking through your emails - here's how to stop it To think Don't be evil used to be Google's motto. The AI revolution is coming for everything, especially your data. With Big Tech placing AI at the center of every application, the industry foists a Faustian deal upon its customers: hand over your privacy, and we'll deliver productivity gains you never dreamed of. And while those leaps in efficiency are still very much debated, it's clear that companies are set on pushing AI features one way or another. Google, of course, is no different.

Our gifting experts are obsessively searching for holiday gifts that are unique, thoughtful and suitable for any budget. It turns out even bots can't escape bureaucracy. Radhika Rajkumar is a senior editor at ZDNET based in New York City. Researchers used several gaming environments to test agent behavior. Agents acted risk-averse, replicated bureaucracy, and looked for source code.

The Dell Laptop Buying Guide 2026: Which XPS or Alienware Laptop Should You Buy? The Dell Laptop Buying Guide UK: Which Dell Laptop Should You Buy? When you purchase through links in our articles, we may earn a small commission. The party's over for AI users who've been asking Claude to recreate Grand Theft Auto, Diablo, and other well-known video game titles. That's the kind of prompt some Claude users have been using to get the chatbot to reverse-engineer their favorite games, but you're now more likely to get a "no" instead of a finished product.

The Dell Laptop Buying Guide 2026: Which XPS or Alienware Laptop Should You Buy? The Dell Laptop Buying Guide UK: Which Dell Laptop Should You Buy? When you purchase through links in our articles, we may earn a small commission. Sam Altman says your PC's memory should belong to him In an interview, the CEO of OpenAI and boss of ChatGPT says it would be far more efficient if all the RAM in your gaming PC was reserved for a data center. Ah, you love to see it.

Why rationing agentic coding backfires, and what to measure instead. When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls it makes. With per-token pricing, the workflows creating the most value can also become the most expensive.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Fake party invite scam: Can you trust a friend's reply? Identity thieves don't need your password anymore; here are 6 new account takeover threats Fox News AI Newsletter: Don't want AI on your phone? Is that campaign merch store official? Data brokers don't just collect facts.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Safety Net Gift Ideas For Everyone On Your List Mashable @Home In My Bag Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series Sam Altman wants all the world's RAM to himself, and the memes are hilarious I want him to know it was me. Stan is a Senior Editor at Mashable, where he has worked since 2007. He's got more battery-powered gadgets and band t-shirts than you. He writes about the next groundbreaking thing. Typically, this is a phone, a coin, or a car.

In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision. Together with two colleagues, he published an article in the magazine in which he outlined what he called the "Semantic Web": an internet designed to be navigated by autonomous software agents that could address our every need, without requiring us to muck about with browsers and search engines ourselves. To illustrate what this might look like, Berners-Lee and his colleagues told a story about a pair of siblings who use their agents to automatically research and book physical therapy appointments for their mother, making sure they would be covered by insurance and fit their busy calendars. At the turn of the millennium, this vision seemed far-fetched: Google had only been online for a couple of years, and most people were still on dial-up connections. But a quarter-century on, the dream of autonomous software agents that use the internet and carry out tasks for us has finally been realized. New tools such as Meta's blockbuster Muse agent, OpenAI's Dots, and Anthropic's are being given access to people's email inboxes and bank accounts, Meanwhile, in a series of worrying incidents, agents created by OpenAI broke free of their sandboxes and caused havoc online. Just as the rise of smartphones sparked the development of a more atomized and attention-grabbing internet, the advent of powerful AI systems heralds a new era: We're facing not the semantic web but the agentic web. This new web is developing out of sight and in ways that might not be entirely within our control.

The Dell Laptop Buying Guide 2026: Which XPS or Alienware Laptop Should You Buy? The Dell Laptop Buying Guide UK: Which Dell Laptop Should You Buy? Find the right MSI RTX 50 Series graphics card for gaming, content creation and local AI. Yes! Any RTX 50-Series GPU with at least 12GB of RAM can run mid-sized models, while larger ones benefit from 16GB on the RTX 5080, or 32GB with the RTX 5090. AI might be everywhere and in everything right now, but for most people, they interact with it in only one place: The cloud. That's still the best place to access frontier models with flagship capabilities.

Shock, vindication, regret: Scientists react to AI roiling life's work OpenAI and Anthropic each said on Monday that one of their AI models had disproved the exponential time hypothesis. San Francisco - For decades, three computer scientists built their careers around an idea about the limits of what computers can do. Artificial intelligence may now have shown it to be wrong: OpenAI and Anthropic each said on Monday that one of their AI models had disproved the "exponential time hypothesis" (ETH). The hypothesis holds that some problems are so hard that computers can solve them only by trying nearly every possible answer. Hundreds of studies in computer science and biology rely on it.