One Brain, Any Robot: Skild AI's Skild Brain Explained | NVIDIA AI Podcast Ep. 295
FAKE Zoom Taxes MALWARE
Gemini Exponential, Demis Hassabis' ‘Proto-AGI’ coming, but …
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WHAT IF…Your confidential data is exposed to public clouds? #sovereignAI
Hackers make FAKE notifications
NVIDIA Vera Rubin Platform Ramping into Full Production | Built for the Era of Agents
How Digital Twins Are Shaping the Future of AI Infrastructure
Gemini 3.1 Pro and the Downfall of Benchmarks: Welcome to the Vibe Era of AI
You Are Being Told Contradictory Things About AI
…PhysicsX’s Corbo argues that, with the right data, the AI model accuracy can supersede the accuracy of the simulation it’s trained on. The trick is to incorporate experimental measurements to…
…It wouldn’t be practical to spread out AI training workloads among a fleet of mini data centers. On the bright side, because training takes months, it’s possible to pause for…
…bandwidth needed for the demands of today’s major large language models. Large AI training models need multiple data paths between GPU nodes, but current protocols only support a single path per…
…Opting out of AI data collection Fortunately, all major AI apps provide the ability to opt out of using your data as training material, and for most it’s both quick and…
We are releasing Project Stera - an open source, end-to-end pipeline that turns a commodity iPhone into a research-grade capture system for embodied AI training data.Today, we're open-sourcing the whole stack, along with…
# I'm 11 years old and I trained my own LLM from scratch. 50 people downloaded it in 24 hours.Hey r/LocalLLaMA,I'm Arthur, I'm 11 years old, and I just released *Wind Arc 1.6* — a custom architecture LLM I built and trai…
I created LifelogBB as a successor ~4 years ago of my old lifelogging platform. I use it daily to track things like my weight, Journals, ... The platform is a SINGLE USER self hosted platform because I wanted to keep thi…
I have used Codex & Claude Code for coding for a while, but how long a coding task will actually take? When I ask Claude Code to estimate, the result is often from training data, which is based on human speed. That’s why…
Article: https://www.nvidia.com/en-us/geforce/news/dlss-4-5-ray-reconstruction-1000-rtx-games-apps-out-now/ Video: https://www.youtube.com/watch?v=NvSYk0PjLrU NVIDIA DLSS 4.5 Ray Reconstruction: Superior Ray-Traced Image…
…It also could help explain Anthropic’s recent claims that fictional stories about “evil AI” in training data can lead LLMs to display similar “evil” behaviors . Then there’s that Anthropic study…
…To beat rival AI labs, Meta has carried out an “all the above” infrastructure strategy: Self-build campus. Leasing from third parties. AI-optimized designs. Multi-datacenter-campus training . On-site, behind…
…The Intel Geti platform’s active learning helps automate data annotation and minimizes the number of annotations required to train models. The active learning feature provided AI annotation predictions for Samsung Medison…
Posted on June 8, 2026 by Prithvi Raj (Mirantis), Alexander Acker (Logsight.ai), and Soeren Becker (Logsight.ai) CNCF projects highlighted in this post Breaking the single datacenter assumption Modern AI architectures…
AI companies have grown into data-hungry entities as their models require ever-larger datasets to train on. To meet that need, many AI startups defy long-standing internet conventions — like respecting…
…The hardware configuration used a large AI cluster based on 3rd Gen Intel Xeon processors and Intel Gaudi 2 AI accelerators. Models are trained on internet-scale data, and training throughput can…