Curated AI coverage from TechCrunch, MIT Technology Review, WIRED and other top global tech media. Please cite this site when republishing.
The U.S. is shutting out more foreign-made drones and robots. China’s scale means the global competition may simply move elsewhere.
Caterpillar has spent decades putting autonomous machines to work at remote mining sites. It's now bringing that experience to AI deployment.
Elon Musk says a secretive new SpaceX foundry will let him cast his own turbine blades and get gas power online 18 months faster than anyone else — but it's a bet on a fuel source that's already triggering lawsuits and health studies everywhere his (and others') turbines have gone in.
Burnt out on wrist buzzes and notification overload? A new crop of minimalist wearables promises to collect your health data without demanding your attention.
The company is testing robots on tasks that can performed by technicians.
This latest lawsuit is particularly broad and homes in on accusations of illegal piracy.
Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.
The new generation of data center systems is increasing efficiency with smarter traffic control instead of just more processor cycles.
Plus: Hackers target over 100 US water systems, ICE puts in an order for robot dogs, and you’ll never guess what “MrChildPorn” was arrested for.
Installing a large language model on your personal computer gives you a handy digital assistant that won’t compromise your data privacy.
MLCommons' MLPerf Inference working group has launched the first end-to-end retrieval-augmented generation (RAG) inference benchmark, measuring the full pipeline from document ingestion to multi-hop question answering across two workloads.
This article explores how double-blind evaluation design protects privacy and benchmark integrity, highlighting MLCommons' first proof of concept for closed-source model evaluation and its path toward becoming an industry standard.
Neocloud Lambda has raised $1B in private debt to buy Nvidia AI chips and lease them to Microsoft. It's the latest in a string of loans, underscoring the high cost of the AI boom.
Anthropic refused to support lethal autonomous warfare and mass surveillance.
There's a lot of capital pouring into the business of giving models away.
Given 10 benchmarks for specific misaligned behaviors, the automated systems were able to improve performance on every single one without degrading overall performance.
Pushing the Limits of Serving DeepSeek-V4-ProTianyu Zhang, Yusong Gao, Yun ZhangAugust 19, 20261. Introduction DeepSeek-V4-Pro is a 1.6-trillion-parameter Mixture-of-Experts (MoE) model released with
Mooncake for Miles: From Fragmented Rollout Data to Efficient Bulk I/OMooncake communityAugust 20, 2026Rollout Data in Disaggregated RL Systems Reinforcement learning for large language models combine
Fast Engine Recovery: Sub-Second Engine Restart for SGLang via Weight Cache DaemonAnt Ling Infra Team (Ant Group), Alibaba, SGLang TeamAugust 21, 2026TL;DR Nowadays, State-of-the-Art (SOTA) models are
Chasing the Batch-1 Floor: Ling-3.0-flash Speculative Decode on BlackwellRadixArk SGLang Team, Ant Ling Infra TeamAugust 21, 2026Batch-1 decode keeps getting more important. Xiaomi MiMo, for example,
