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An AI tool is no replacement for a doctor, and regulation is essential. But together, physicians and AI could prove beneficialA calf cramp should not be a brush with death. Mine almost was.For five days, I had what felt like a stubborn muscle spasm in my left calf. It was tender, swollen and getting worse. […]
I had a blood clot. An AI diagnosis may have saved my life | Gleb Tsipursky Read More »
Ten years ago, after complaining that traffic was ‘driving him nuts’, Musk’s Boring Company began building underground tunnels to ease congestion on the roads. Did he overpromise and underdeliver?It’s another blindingly bright day in Las Vegas but I’m 30ft underground and strapped in for a rocket ride to the future. Actually, it’s a Tesla ride
‘A neoliberal nightmare’: my ride on the Vegas Loop – Elon Musk’s answer to traffic jams Read More »
A character bearing that name appears in a remarkable number of chatbot-generated stories. He could be a messenger from the future – or a warning that generative AI is in danger of ‘model collapse’Ever heard of a shadowy figure called Elias Thorne? If you haven’t, try asking an AI chatbot to tell you a story.In
Unrestrained development of unsafe AI systems is leading to intolerable risksStuart Russell is a computer scientist known for his contributions to AI and a new Guardian US columnistThe AI company Anthropic has been making major headlines recently. Its trillion-dollar IPO plan and its blood feud with secretary of defense Pete Hegseth have attracted much attention,
MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly on Grouped Query Attention (GQA). It targets one bottleneck: the quadratic cost of softmax attention at long context. The MiniMax research team tested it inside a 109B-parameter Mixture-of-Experts model trained with native multimodal data. They also open-sourced an inference kernel and shipped a
OpenAI published a new pre-deployment safety method called Deployment Simulation. The idea is direct. Before a model ships, simulate its deployment first. Replay past conversations through the new candidate model. Then study how it behaves in realistic contexts. OpenAI already uses insights from the method during model development. It has informed mitigations and deployment decisions,
In this tutorial, we implement xFormers: a practical toolkit for building fast, memory-efficient Transformer models on GPUs. We begin by validating memory-efficient attention against a standard attention implementation, then compare their speed and memory consumption across different sequence lengths. We then examine causal masking, packed variable-length sequences, grouped-query attention, and custom ALiBi positional biases. Finally,
Switch to ChapsVision announced by PM comes amid concern about reliance on US-controlled technologyFrance’s domestic intelligence service is to ditch AI data tools from the US tech giant Palantir in favour of a domestic provider in an effort to avoid “strategic dependency”, the prime minister, Sébastien Lecornu, has said.“We must use our own AI models;
France to ditch AI data tools from Palantir for domestic provider Read More »
The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip, Qwen-RobotWorld, and Qwen-RobotNav. Each is built on a Qwen vision-language backbone and targets a different robotics problem. Qwen-RobotManip is a Vision-Language-Action model for manipulation, built on Qwen3.5-4B. Qwen-RobotWorld is a language-conditioned video world model with a 60-layer MMDiT and
Josh Shapiro, Pennsylvania’s governor, squares off with state lawmakers over the facilities powering an AI boomA controversial haunted house near Philadelphia, Pennsylvania, taps into its dark history every fall to scare tens of thousands of visitors. In 1968, a local news station documented appalling conditions for disabled people in the red brick buildings on the
