I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Nvidia's open Nemotron 3.5 Lightning model is all about specialized, local agentic AI Our AI Model Release Tracker keeps new models in context with their peers, so you know which are worth your time. AI labs are shipping new models nonstop. Besides being better and faster than their predecessors, not every new model is guaranteed to be a major step change, despite how the company's PR may wax poetic about them. Model strengths really emerge in context: Where are competitor models lacking or excelling? Which models have outstanding specialties, and which are just catching up to industry standards? Our Model Release Tracker helps you make sense of where models stand relative to each other and whether they're worth a deeper look. While we don't test every model or model update on this list, we'll always include the key elements you need to know, along with our hands-on expert test, where applicable.

Measuring accuracy in LLMs can be tricky, as there's no straight answer. The specific model you're using and the prompt you feed into it play an important role in the quality of the output. When it comes to flagship models -- Claude Fable 5 (Max) and GPT 5.6 Sol (Max) -- Claude is marginally more accurate according to the AA-Omniscience Accuracy benchmark. The scores stand at 61 percent and 59 percent, respectively. Because the difference is so marginal, you'll rarely notice it in day-to-day usage.

Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School Furtastic All Series Everything we know about the quantum math-solving model. OpenAI confirmed the existence of Astra, a smarter, unreleased model that's already achieving big results in the math world. Timothy Beck Werth is the Tech Editor at Mashable, where he leads coverage and assignments for the Tech and Shopping verticals. Tim has over 15 years of experience as a journalist and editor, and he has particular experience covering and testing consumer technology, smart home gadgets, and men's grooming and style products. Previously, he was the Managing Editor and then Site Director of SPY.com, a men's product review and lifestyle website.

There's a debate going on in the Trump administration over how to handle increasingly powerful Chinese AI models. The Trump administration is split over how to respond to the rapid rise of China's leading AI models, according to multiple people familiar with deliberations. The debate is broadly divided between parts of the White House, which has pushed for stricter controls on Chinese AI that may soon rival the most powerful US models, and the Commerce Department, which has viewed those restrictions as unworkable. The conundrum has become the latest flash point for the administration over AI, after China's Moonshot AI lab last week released its Kimi K3 model that rivals the top US models from Anthropic and OpenAI . In recent days, senior White House officials have discussed possible measures to stop China's AI labs from developing their models by training them on US models, a practice known as distillation, the people say.

Here's Why Anthropic Is Pushing States to Regulate AI Faster The company endorsed landmark AI transparency laws in California and New York last year, but its head of US state and local policy says they may already be outdated. Anthropic threw its support behind the first wave of frontier AI safety laws in the United States last year, securing new transparency requirements in California and New York that much of Silicon Valley fought against, arguing they would stifle the AI boom . But Anthropic says those laws may already be outdated, and the company is now pushing states to adopt even tougher regulations. "The transparency-focused safety bills of 2025 were a really important start, but as the capabilities of AI systems continue to advance quickly--the policy responses need to match," Cesar Fernandez, Anthropic's head of US state and local government relations, told WIRED in an interview. "We think that transparency and self reporting are no longer sufficient safety measures for the most powerful AI systems."

PCWorld reports that OpenAI and Anthropic have temporarily relaxed usage limits for their latest AI models, including GPT-5.6 Sol and Claude's Fable 5. ChatGPT Plus, Business, and Pro subscribers can now access GPT-5.6 Sol without the previous five-hour usage window restrictions. This increased access appears driven by competition between the AI companies, giving users more opportunities to experience advanced reasoning capabilities. If you haven't kicked the tires yet on the latest and greatest ChatGPT and Claude models, this is your lucky week. OpenAI is (fittingly) opening the flood gates to GPT-5.6 Sol, its just-released and most powerful model, announcing Sunday that it's "temporarily" lifting the five-hour usage window for ChatGPT Plus, Business, and Pro subscribers. At the same time, Anthropic is - again - extending the trial period for Fable 5, its own new top-of-the-line, giving Claude subscribers another week of in-plan access .

Claude subscribers must soon pay usage-based fees to access Anthropic's best consumer AI model--a sign that the golden era of AI subscriptions is ending. AI model developers have long offered consumers a simple deal: Use our technology for free through an online chatbot, or pay a monthly subscription to receive more usage, premium features, and advanced models. Anthropic is about to make that bargain a lot more complicated. Starting on July 12 at 11:59PM PT, subscribers to Anthropic's $20, $100, and $200-a-month plans will need to pay additional usage-based fees to access Claude Fable 5, the consumer version of the company's highly capable Mythos 5 AI model . This appears to be the first time a frontier AI lab has gated a consumer AI model behind usage-based billing.

Companies will once again be allowed to scan citizens' personal texts, emails, and social media messages via the "chat control" bill to find child abuse material online. The European Parliament has voted to extend legislation allowing tech companies to voluntarily scan users' private messages for child sexual abuse material, despite a majority of lawmakers voting against the proposal. The ruling reinstates permissions for firms including Meta, Google, and Microsoft to scan private text, email, and social media messages through a bill nicknamed "Chat Control" by critics. End-to-end encrypted chats, such as those on WhatsApp and Signal, remain exempt. "It will mean that private companies may deny your right to have confidential digital conversations," Simeon de Brouwer, policy advisor at Brussels-based advocacy group European Digital Rights tells WIRED, "they could, if they want to, read every message you write, every email you send, every picture you share."

The $28 Million Mistake That Inspired Estonia's AI "Fuckup Finder" Now Estonia is using AI to spot legal errors before they become law--and to automate more of the state. Estonia's AI embarrassment began with a single wrong phrase. In December, the Riigikogu, Estonia's parliament, passed changes to the country's Gambling Tax Act meant to lower the tax rate on remote gambling. But the wording of the law referred only to "skill games" for that year, not games of chance or remote gambling. Estonia's entire gambling industry is worth around €300 million ($343 million), and its online gambling market is one of the fastest growing in the EU.

During negotiations on Wednesday, employees voiced frustrations with what they consider an unwillingness among senior DeepMind executives to engage meaningfully with the prospect of unionization. Negotiations between Google DeepMind and its London-based employees over the possibility of unionization stumbled this week, after initial talks left union representatives feeling they had wasted their time, WIRED has learned. In May, DeepMind employees asked Google to recognize the Communication Workers Union and Unite the Union as joint representatives. The company later denied that request, but agreed to participate in negotiations arbitrated by a third-party body. An initial meeting on Wednesday was attended by union officers, DeepMind employees involved in the unionization push, the third-party arbitrator, and DeepMind HR representatives.