Google, Anthropic, OpenAI and Microsoft have committed to honoring a new robots.txt The companies have decided to adopt a proposal under consideration at IETF, the open standards organization for the internet, written by Anthropic technical lead for standards Kevin Kelley. As OpenAI and Google explained in their announcements, website owners currently have to identify individual crawlers and add separate rules for each provider. Kelley's proposal will change that by getting multiple AI companies to recognize and honor a single common signal. Publishers have to set up a new user agent in the robots.txt

A biotech startup let an agent choose a gene therapy and successfully inject the treatment, offering a startling glimpse of the future of research labs. If you give an AI agent a robotic arm, an injector, and a live mouse, it might just perform brain surgery. Biotech founder Gabriel Ocana Santero recently did that using an agent to successfully carry out a brain injection procedure on a living mouse. Though it required some extra steps, it offers a glimpse into how AI could eventually become an active participant in laboratory research . Santero posted about the experiment on social media and tells WIRED he was interested in exploring what happens when AI agents are given direct access to lab equipment, rather than simply being asked to design experiments or analyze results.

This week on, we also discuss Anthropic's IPO filing and the volunteers gearing up to counter ICE at the midterms. This week on, Brian Barrett, Leah Feiger, and Zoë Schiffer dive into our scoop on how a defense contractor connected Claude Code to a secure Department of Defense system. We also discuss the green, yellow, and red flags we see in Anthropic's IPO filing--and why it's a test not just for the AI industry, but for the entire US economy--and how volunteers nationwide are preparing for ICE agents potentially showing up at polling sites in the midterms. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . There is a lot going on in the hundreds of pages that the company submitted as part of its S-1 filing, from staggering earnings and losses, to warnings of AI's existential threat. We'll discuss our key takeaways and why this IPO is kind of high stakes, not just for the AI industry, but honestly the entire US economy. Massive groups of volunteers all over the country are already getting ready to protect their communities from the potential that ICE officers show up at the polls. We'll get into how grassroots efforts like these are a reflection of a deeply uncertain election cycle. This has been highly anticipated for a bunch of reasons. Anthropic is expected to raise more money in its IPO than any company in history, and it would be the first major US company focused solely on building AI software to go public. To give you a sense of the scale that we're talking about, the company's valuation went from $183 billion a little over a year ago to $965 billion in its most recent round, and some expect that it could be worth close to $2 trillion once it starts trading.

Thanks to a lucky break, flawed code in a tainted Claude extension prevented the attacker from fully worming their way into some 5,000 developer machines. The AI software-development platform Cursor, which is owned by SpaceX, had a malicious Anthropic Claude Code extension for Windows, macOS, and Linux live in its integrated development environment extension marketplace for roughly 11 hours on Thursday. The company says the rogue extension was downloaded by "at most 5,000 users." Cursor briefly shut down the extension marketplace while it investigated the situation, which the company says did not impact any other extensions. The tainted extension was designed with a backdoor to give attackers access to victim devices--the type of implant that malicious hackers often use as a stepping stone to deeper control inside a target network.

AI national security risks are growing as advocacy groups warn that a lack of federal oversight at companies like OpenAI and Nvidia leaves sensitive trade secrets vulnerable.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Gift Ideas For Everyone On Your List Mashable @Home In My Bag Safety Net Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series If you don't have a Pixel 11, you can join in on the fun now. Alex Perry is a tech reporter at Mashable who primarily covers video games and consumer tech. Alex has spent most of the last decade reviewing games, smartphones, headphones, and laptops, and he doesn't plan on stopping anytime soon. He is also a Pisces, a cat lover, and a Kansas City sports fan. Google rolled out a small visual change to Gemini on non-Pixel devices, while improving the app's file management.

The folks behind Wikipedia say that an extreme decision in either direction could threaten the open web. OpenAI and Microsoft say that training and deploying AI models based on published data is necessary for technological development and would therefore fall within the definition of fair use. The Wikimedia Foundation, however, is seeking a third way. The amicus brief agrees with Microsoft and OpenAI and suggests that a much more restrictive version of fair use could inhibit tech innovation. However, it also says that a ruling in favor of blanket fair use could lead to a closed web where knowledge is weakened due to a lack of available secondary source materials. The platform's alternative position applies fair use to two specific use cases for AI companies.

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 . Is that campaign merch store official? Data brokers don't just collect facts. Why some people are falling for Meta's Muse AI Google's new AI shopping cart tracks deals across stores Your phone can alert you when prices drop; here's how Veteran electrician says data center boom is creating a'life-changing' path to six-figure pay'Gutfeld!': AI offers different answers to race preference question FBI is taking an'offensive and defensive approach' to cybercrime: Director Kash Patel'The Five': Would you read your partner's ChatGPT messages?

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. I thought my homelab was secure. AI is finding bugs on the internet that were lurking for years, and Claude Code warned me I wasn't immune.

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we chat to AI pioneer, Michael Littman, learn about time-series forecasting for clinical data, investigate evolutionary game theory for cybersecurity, and get the scoop on neuromorphic computing. In the latest interview in our series meeting AI pioneers, Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn. Mayra Elwes is a PhD student developing machine learning methods for clinical time-series data. She is working on practical strategies to evaluate methods in a more contextualised way and on improving existing domain adaptation methods specific to time-series forecasting.