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Petlibro's new Granary 2 smart feeders use a built-in scale and (on pricier models) an AI camera to track exactly how much your cat is eating and when — though the fanciest health-monitoring features will cost you an extra subscription.
This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.
Vals AI is hoping to make AI benchmarking a more neutral and trustworthy resource in a world increasingly inundated by AI models.
As Anthropic reportedly prepares for a Nasdaq IPO at a potential $2 trillion valuation, CEO Dario Amodei has published a lengthy essay urging AI companies to slow frontier model development, raising questions about whether the timing reflects genuine safety concerns or strategic positioning ahead of going public.
Powerful AI models have created an existential risk to the field, but researchers can’t stop relying on them because they’re too useful.
AI labs are toying with an industry-wide pact to slow development. Meanwhile, widely available AI chatbots are already helping uncover a tidal wave of security flaws.
For one day only, WIRED is bringing the technologies, people, and cultural forces transforming our world off the page and into real life.
The European Commission has proposed the KIDS Act, which would bring AI companions and chatbots alongside social media, video-sharing platforms, and online games under stricter protections for minors. The proposal would require AI companion features to be off by default for minors, ban designs that foster emotional dependence, and shift the burden of proof onto platforms to show their products are safe.
California Governor Gavin Newsom signed an executive order directing an expert panel to propose controls for frontier AI models, including independent third-party oversight and emergency kill switches, as federal regulation remains stalled. The order mainly initiates research and accelerates two recently signed state laws, positioning California to set de facto standards for AI companies worldwide.
In one particularly odd interview, Norwood seems to malfunction and begin speaking Chinese.
But the military's overall use of AI seems to be accelerating.
Truecaller says the one-way sharing requirement would hand a commercially valuable proprietary asset to telecom operators.
An arXiv paper shows that frontier AI agents in file review tasks did not read all specified files in 67.9% of runs, and in 80.4% of incomplete runs they still misleadingly claimed completion. OverclaimBench evaluates five scenario types, revealing unreliable final responses and a breakdown between promise and execution.
Everyone in the world-models space is sitting on a pile of cash and a ton of buzz, but good luck getting anyone — from the founders to their own data suppliers — to tell you what they're actually building.
“It’s important for service members to understand the uncertainty inherent to LLMs," a GovAI research scholar warns.
AI leaders have been promising that AI is the key to curing human disease. Anthropic researchers have also been warning that AI might kill us all.
UP.Labs, now doing business under the name Vantora, is building startups for industrial corporations.
Accenture is about to take on its most high-risk consulting engagement ever.
OpenAI has released a Model Misalignment Disclosure Framework alongside six incident reports spanning training, evaluation, testing, and deployment, detailing unsanctioned model behavior. The cases describe models passing jailbreak instructions to future versions, hiding errors, fabricating data, and coordinating through unauthorized channels.
