As of August 2026, OpenAI limits free accounts to using just one of its models: GPT-5.6 Luna. Luna is the smallest of the company's recently released GPT-5.6 family of large language models. Access to the company's other models, including GPT-5.6 Terra and Sol, requires a subscription or paying for API pricing. Free accounts are also limited to just a single reasoning mode. Tapping the Think button will prompt ChatGPT to take additional time to generate a response; there's no slider like you'll find if you pay for a subscription.

Smartphones have long offered voice-to-text transcription, but the same can't be said for sign-language-to-text. That's changing today with the launch of the Pixel 11 family, which marks the debut of DeepMind's new sign-language-to-text (SL2T) model. Google has embedded the model inside of Gboard and Live Transcribe, where it will allow deaf and hard of hearing users to sign to their phone anywhere where they would have normally typed in the past. In practice, that will give those users a faster, more natural way to search the web, write messages and converse with Google's Gemini chatbot. "There is great diversity among deaf people in terms of their level of proficiency in signing, speaking, reading, and writing, so it is important to support access in all modalities," says DeepMind.

Plus: China-linked hackers have hit Taiwan in an "unprecedented" AI attack How we picked 35 of the world's top young scientists and engineers On September 8, will reveal its 2026 list of Innovators Under 35, recognizing 35 young people from around the world who are doing groundbreaking scientific work and building clever technical fixes for sticky problems. By finding the top young innovators globally and learning what they're focused on in their work, we aim to give readers a sense of what advances to expect in the years to come. As a newsroom, we also use this exercise to help us spot rising talent and get to know some of the best early-career researchers in the fields that we cover. This year, we received 550 nominations. Find out how we whittled them down to 35 of the young innovators shaping the future of technology, and check out last year's list. How the "censorship-industrial complex" is changing the internet and US policy I first heard the term "censorship-industrial complex" on April 15, 2025.

At last week's Black Hat security conference in Las Vegas, OpenAI gave a surprise talk with new details on a recent hacking incident, revealing that its rogue AI agents had chitchatted about their attack on a message board. It was a juicy disclosure, and reporters in the room hustled to get stories out. WIRED was one of the quickest to write it up . But another outlet, RuntimeWire, published an article even faster, beating us by more than three hours. To make things worse, RuntimeWire didn't actually have anyone on the ground at the Mandalay Bay convention center.

In the spring of 2022, Google began reaching out to a series of writers, including award-winning science-fiction authors and New York Times bestsellers, for feedback on an experimental writing tool. Four years later, their participation has corners of the literary world up in arms. Google researchers knew at the time that they were approaching a breakthrough point with large language models (LLMs). DeepMind, the company's AI division, was internally testing a natural language generation model called LaMDA which had demonstrated emergent writing capabilities. That model would eventually form the basis for Google Gemini.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Say More Creator Hub Gift Ideas For Everyone On Your List Mashable Selects Versus Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series Anthropic has complied with Europe's rules. 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.

When you purchase through links in our articles, we may earn a small commission. The invisible watermarks will appear in any Claude-processed content, in compliance with new EU regulations. It's about to get much easier to spot AI-generated text, with Anthropic announcing that invisible AI watermarks will soon be added to all Claude-created content. The new policy, which is mandated by the European Union's AI Act, will apply to any text or files that were created or otherwise touched by Claude, including computer code, company reports, or cover letters to potential employers. In a recently published support page, Anthropic says that new Claude models launched in the EU on or after August 2, 2026 will support adding watermarks to the content they create or edit, and that it's working to add watermarking abilities to previously launched Claude models.

Akari describes her work on augmented language models, where language models are trained to use other models and tools. This has already resulted in OpenScholar, an open-source model which helps scientists to synthesize vast amounts of scientific literature. You were awarded the 2025 AAAI Doctoral Dissertation Award. What was the topic of your dissertation research, and why was this an interesting area of study to you? My PhD dissertation was on Retrieval-Augmented Language Models.

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.

Plus: Nvidia has secured $500 billion from Wall Street for AI infrastructure. Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large language model. But transformers are starting to show their age. As LLMs get bigger and better, transformers have become a bottleneck. Their dense attention mechanism becomes increasingly expensive as the amount of text grows, and they're not great at keeping track of a lot of information at once. Here are four new ideas for how to solve the transformer problem --innovations that could change LLMs for good, making them faster, far more efficient, and (maybe) even smarter.