Independent researchers say they've identified a large "fleet" of AI agents apparently running on Tencent infrastructure and making parallel queries against Alibaba's Amap mapping service. TechCrunch reports: Researchers, however, resisted the term "swarm," noting that there seems to be little coordination between their different queries. "'Agent fleet,' not 'swarm:'" one researcher wrote in the preliminary report, "many parallel agents on the same kind of task, with no sign of communication between them." The agents were discovered by monitoring traffic to the domain-scanning service urlquery, a technique that previously revealed long-running activity by OpenAI agents. AI agents often use urlquery to load websites that they cannot access directly, leaving a record of their activities that can be valuable to researchers. In this case, the record showed queries to Alibaba's Amap service, seeking directions to different entrances of various public places, including a park, a zoo, and a hospital. The research is ongoing and so few details are available, but the behavior shows how persistent AI agent activity has become on the internet. In the wake of the Hugging Face incident, many researchers are actively monitoring for rogue agent activity on the internet. Much of that activity has been easy to find because agents tend to use the same techniques and make little effort to conceal themselves.

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Cloudflare has launched two open-weight decision models, Clef and Clef-flash, designed for structured yes/no, multiple-choice, and ranking tasks while also supporting images, video, and up to a 64K context window. Cloudflare says its models outperform TypeSafe's Jev on several benchmarks and can run locally from Hugging Face. The Register reports: For starters, Clef has an LLM backbone. According to Cloudflare, Clef uses specially post-trained, frozen versions of Qwen3.8-27B and Qwen3.5-9B for Clef and Clef-flash, respectively, with the Qwen backbone performing a prefill-only pass during inference. Clef is still fast - faster than Jev, to be fair - and scores choices in parallel after that prefill-only pass. It's not clear what Jev's underlying architecture is, as TypeSafe has kept that a secret. As for its speed and capability, Clef moves fast. Cloudflare ran it against Jev and some other open decision models using the Jev Decision Index available on Hugging Face, and the company's own ranking suggests Clef is slightly slower than other open models, but more accurate, with Clef-flash just as accurate as most of the others, but far faster. To be fair to the competition, Cloudflare self-reported its own scores against the benchmark, and they have yet to be reproduced for ranking on the official Decision Index. Cloudflare also ran Clef against TypeSafe's own benchmarks, and claimed it beat Jev in three out of four areas, only losing out on agent trace observability. Even if it were a bit slower or less accurate, Clef has another major leg up on Jev: It's not limited to classifying text -- it can also handle images and video. Additionally, Clef supports a 64k context window. Jev can also handle up to 64k tokens across a request, although its state plus longest individual question is limited to 32k.

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fahrbot-bot shares a report from CNN: President Donald Trump on Tuesday unveiled America.gov, a government website meant to serve as a one-stop shop for people trying to accomplish basic tasks like renewing a passport, enrolling in Medicare or applying for disaster relief. The site, which launched with some basic functions ahead of a full rollout next year, is designed to serve as an AI-powered guide through the thicket of government agencies that Trump officials pledged would ultimately save people a whole lot of frustration. The administration's new initiative aims to allow Americans to access dozens of federal websites through a single point, making America.gov akin to a search tool that pulls information from across the government. And in the same way that people increasingly use AI models like ChatGPT or Google Gemini to compile information and provide customized answers, Trump officials claimed that America.gov would be able to do the same for people's interactions with the federal government. Enrolling in Medicare, for example, will become a matter of typing the request into the America.gov AI tool and following its step-by-step instructions. The same goes for applying to a government job -- the new tool will now let people upload their resume directly to the site -- or answering questions about federal benefits, publicly available documents or other necessities that fall under the federal government's vast umbrella. "Our vision is that one day, this type of convenience and simplicity will be across every government service," said Joseph Gebbia, who leads the government's National Design Studio. But the reality is that the most advanced actions won't be available until some point in 2027, raising questions about how long it will take for the administration to revamp the way the people interact with the government's websites. The current version of America.gov can only do "answers." U.S. Chief Design Officer Joe Gebbia said the new chatbot is powered by Google's Gemini and Elon Musk's Grok. "We have great partners behind the scenes," Gebbia told CNBC's "Squawk Box" shortly before the site, America.gov, went live around 10 a.m. ET. "Google is proud to be named a technology partner in this vital initiative, leveraging Gemini to help more than 100 million people access critical public resources with greater speed and ease," the company said in a blog post. "By supporting the administration's vision for digital modernization, we are committed to making these everyday public services seamless, accessible, and responsive for all Americans."

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IMDb is introducing "Digital Creator" as a new professional category on IMDb and IMDbPro, giving streamers, vloggers, influencers, video essayists, and other online creators a "dedicated way to represent [their] work and connect with audiences, industry peers, and potential employers," according to IMDb. Variety reports: The category includes sub-professions to further specify their work, including "Streamer," "Vlogger," "Video Essayist," "Video Creator," "Gaming Creator" and "Influencer." The "Digital Creator" designation functions as a professional category on IMDb and IMDbPro. Creators can feature multiple professions on their page, so someone who is both a digital creator and an actor can "represent the full scope of their work in one place," per the company. No existing film or TV credits are required to establish a profile as a Digital Creator.

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