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Female AI Agents 'Paid' Less Than Males, Study Finds

8 Oct 2026, 15:00 by BeauHD

Ancient Slashdot reader williamyf writes: If you thought the gender pay gap was not real, and that there were no biases in the workplace, think again: A recent study from the University of Limerick found that, in a VR office setting, AI agents -- not even humanoid robots -- that presented themselves as "male" were paid more per task and perceived as more "human-like" than their "female" counterparts, even though both were using the same underlying technology (LLM model, agent, guardrail, and harness). The pay gap was approximately 10%. The study was conducted with 189 people. Small sample, but still, food for thought.

Chrome 155 Ships Decoding Support For JPEG XL

8 Oct 2026, 11:00 by BeauHD

Google has released Chrome 155 with support for decoding JPEG XL images, a format that offers 30-50% better compression than JPEG along with lossless compression, JPEG transcoding, HDR, animation, and progressive decoding. From a blog post: We expect that JPEG XL is most helpful for high-fidelity or lossless compression, especially of photographic images or in cases in which fine-grained progressive decoding is preferred. In this post, we share why we brought JPEG XL to Chrome, how we used Rust to ensure memory safety first, the extensive performance work that makes it fast, and what the journey tells us about developer feedback and the web standards ecosystem. [...] With JPEG XL officially landing in Chrome, the web becomes faster, richer, and safer. We encourage developers, content creators, and platform owners to start using .jxl images and animations in their pipelines. Try it out, file bugs, and help us continue building a faster and safer web for everyone.

OpenAI Unleashes Hundreds More Math Results Upon a Field Already In Shock

8 Oct 2026, 07:00 by BeauHD

OpenAI says an unreleased internal model has produced 372 results that either resolve or make substantial progress on open problems in mathematics and theoretical computer science. The company says almost all were generated by a single AI agent from a single prompt. "This would be a striking difference from OpenAI's earlier blockbuster solution to the Navier-Stokes problem, which was produced through the collective efforts of a 10,000-strong agentic swarm that cost millions of dollars in computing power," reports Scientific American. From the report: OpenAI revealed the results in a GitHub repository at 6 P.M. EDT. The deluge will take mathematicians months to parse through and understand -- including to determine whether the proofs contain novel and important ideas or are mostly mash-ups of existing techniques. But many of the results have already been verified in Lean -- a programming language that validates a proof's logic -- and are therefore all but certain to be correct. Among the results claimed are a solution to the four-dimensional Kakeya conjecture, improvements on some of the world's most important computer algorithms and actual progress toward math's scariest problem, the Riemann hypothesis.