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U of T researchers demonstrate AI worm could target any online device
https://www.utoronto.ca/news/u-t-researchers-demonstrate-ai-worm-could-target-any-online-device Comments URL: https://news.ycombinator.com/item?id=48379664 Points: 9 # Comments: 2
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
Announce Type: replace Abstract: AI-based weather forecasting now rivals traditional physics-based ensembles, but state-of-the-art (SOTA) models rely on specialized architectures and massive computational budgets, creating a high barrier to entry. We demonstrate that such complexity is unnecessary for frontier performance. We introduce \ours, a probabilistic forecaster built on a standard U-Net backbone trained with a simple recipe: deterministic pre-training on Mean Absolute Error followed...
U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
Announce Type: replace-cross Abstract: AI-based weather forecasting now rivals traditional physics-based ensembles, but state-of-the-art (SOTA) models rely on specialized architectures and massive computational budgets, creating a high barrier to entry. We demonstrate that such complexity is unnecessary for frontier performance. We introduce \ours, a probabilistic forecaster built on a standard U-Net backbone trained with a simple recipe: deterministic pre-training on Mean Absolute Error...
After warning of entire job category losses, Sam Altman says AI firms are hiring more
OpenAI CEO Sam Altman is pushing back against the growing belief that AI is directly causing widespread job losses. Speaking in an interview with CNBC on June 1, Sam Altman argued that companies embracing AI the most are often the same companies that continue to hire workers, while firms blaming layoffs on AI may not be using the technology extensively at all. “The companies that I know that have adopted A.I. the most are also the ones hiring the most," Altman said.
Anthropic to offer EU access to its advanced Mythos model
Anthropic is sharing access to its most advanced AI model Mythos with the EU after the region sought access over months due to cybersecurity concerns. The European Commission confirmed to CNBC on Monday that it had "several productive meetings" with the American AI firm. "We welcome the latest developments on potential future access," EU tech sovereignty spokesperson Thomas Regnier said in emailed statements, adding that the bloc aims to get a clearer idea of the potential risks that the...
Researchers show how AI-powered worms could wreak havoc on the internet
Researchers show how AI-powered worms could wreak havoc on the internet The new threat can tailor its attack and learn new strategies with each machine infected. We've seen how AI can be used to find flaws in apps and websites, but researchers have now demonstrated how it could be weaponized to exploit those vulnerabilities.
Towards Characterizing Scientific Image Utility and Upgradability
arXiv:2606.03401v1 Announce Type: new Abstract: Scientific images function as critical evidence in research communication, yet their integrity faces unprecedented threats from AI-generated content that introduces subtle but consequential errors. Existing evaluation paradigms prove inadequate: perceptual quality metrics poorly correlate with scientific validity, while language models lack domain-specific verification capabilities. To address this gap, we propose the \textbf{S}cientific...
Brad Paisley criticizes data center planned next to Nashville Zoo
Brad Paisley, a Grammy Award-winning American country music singer and songwriter, urged his followers to sign a petition to stop the construction of a 69,000-square-foot data center that would be 50 yards from the Nashville Zoo, which he called “an absolute nightmare scenario” in an Instagram Reel. “First of all, they don’t have the power to build this. They don’t have the water.
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
arXiv:2605.16163v2 Announce Type: replace-cross Abstract: Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multiscale nonlinear processes that global models cannot explicitly resolve at affordable cost. Global AI weather models can produce skillful medium-range forecasts, but their native 0.25 degrees resolution limits direct use for local hazard applications. Statistical downscaling can help bridge...
SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
arXiv:2605.16163v2 Announce Type: replace Abstract: Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multiscale nonlinear processes that global models cannot explicitly resolve at affordable cost. Global AI weather models can produce skillful medium-range forecasts, but their native 0.25 degrees resolution limits direct use for local hazard applications. Statistical downscaling can help bridge this...