Already, big AI seems to have gotten the message. OpenAI just announced a new "blueprint" for its AI data center construction policies, pledging to reduce power usage while also putting limits on NDAs for public officials. I expect we'll see more of the same from other top AI providers, as they navigate the new political reality in Washington.
AI Data Cloud company Snowflake has announced a major expansion of its product suite at Snowflake Expedition 2026, positioning its platform as the foundational control and governance layer for enterprise-ready AI agents.
Asian startups secured more than $570 million in fresh funding, led by major investments in AI video generation, inference chips and brain-computer interfaces.
Nvidia Corp. is stepping up monitoring of AI accelerators sold in Southeast Asia, a strategic step to curtail semiconductor smuggling after criticism it hasn't done enough to stop shipments from illegally reaching Chinese companies.
Laptops that have been designed for new creators comprise AI computing, multi-core processors, OLED touch screens, and mobility to enable generative AI, content creation, 3D rendering, and other creative tasks.
Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Anthropic's IPO is in trouble as investors push back on the $1.5 trillion valuation and the tech market sells off. The article Anthropic's $1.5 trillion IPO hits resistance as investors balk at valuation appeared first on The Decoder .
Post-training quantization reduces the memory requirements of vision-language-action (VLA) models, but precision selection must account for the interaction between layer scope, numerical format, and calibration. We introduce \textbf{VLAQuantBench}, a controlled evaluation with…
Global point-cloud registration remains challenging when limited overlap, repetitive geometry, and sensor noise produce correspondence sets dominated by outliers. Planar regions are particularly difficult for conventional point descriptors and are therefore often suppressed or…
On-device assistants require function-calling models that map natural language to local system actions, but existing resources emphasize web APIs or narrow mobile-action catalogs. We extend FunctionGemma 270M-it to practical Android workflows by introducing…
Chain-of-thought (CoT) monitoring is only meaningful if written reasoning causally constrains the answer. We introduce continuation-based causal testing, an ablation-patch intervention that perturbs one reasoning step, truncates the chain, and forces the model to continue from…