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 .
Vision-language-action (VLA) policies solve the same manipulation task through different action interfaces, but task success alone does not establish whether their physical executions agree. We study cross-policy end-effector geometry in 15,000 closed-loop LIBERO rollouts from…
Recent Joint-Embedding Predictive Architectures (JEPAs) prevent representation collapse by constraining learned representations to follow a prescribed target distribution, such as an isotropic Gaussian or the uniform distribution on a hypersphere. Klindt et al. (2026) showed…
We propose a framework to analyse how strongly different linguistic relations are linearly encoded in language model embedding spaces. We formalise linear encoding via a constrained linear approximation over related and unrelated word pairs and apply this to an extended BATS…