News on GPUs, specialized silicon, data center scaling, and the infrastructure powering the AI revolution.
BERT exploded onto NLP in 2018, leaping GLUE scores by 7.7 points. But its 'bidirectional' brag? Mostly a clever training hack on old Transformer bones.
Modern questions crash into ancient prose. One engineer's clever RAG overhaul makes the Bible searchable like never before.
Anthropic can't sabotage its own AI in wartime, execs insist in court. But the Pentagon's pulling the plug anyway—overkill or caution?
Own an Intel Arc GPU? Tough luck with Crimson Desert—you're staring at an error and a nudge to refund. Intel's crying foul after years of outreach, exposing the GPU giant's uphill battle.
Three days curating data, pristine loss curves, yet your model vomits garbage at deployment. The culprit? Data rot that strikes before gradients flow.
Ever wonder why your fancy 100B+ AI still fumbles basic math? NVIDIA's new 30B Nemotron-Cascade 2 might have the answer — and it's open-weight.
What if Amazon's next phone isn't about beating Apple—it's a sneaky bid to own your AI conversations? Rumors of the Transformer device stir old ghosts from the Fire Phone era.
AI's choking on its own data feast. Recursive language models flip the script, turning endless inputs into sharp reasoning.
Your next Amazon delivery? Handled by Nvidia-powered claws. Jensen Huang just bet $1 trillion on it — and stumbled with a chatty snowman.
Leather jacket gleaming under GTC lights, Jensen Huang just promised $1 trillion in AI chip sales. But who's really clawing the cash here?
Nvidia unveiled DLSS 5's generative AI faces. Gamers recoiled in horror. Devs? They're fuming too.
NVIDIA drops a recipe for domain-specific embeddings trained in hours, no labels needed. Sounds too easy – and that's the problem.