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Explore the latest artificial intelligence news and research.
The US State Department has reportedly prepared a draft letter warning AI partner countries against dual participation in a China-led framework. Though unsent, it hints that Pax Silica could shift toward an exclusive supply-chain alliance.
LG and NVIDIA are aiming to unveil a bipedal humanoid by Q1 2027. Here's a breakdown of the development plan linking the CLOiD factory PoC to the AI Factory, and the conditions for its implementation.
DeepSeek has released an execution framework for AI agents that makes everything from the model layer to the UI swappable. Cordis's dynamic attach/detach mechanism and append-only logs shift operations from fixed products to composable parts.
NVIDIA has scaled back its financial guarantee for OpenAI's 10GW Ohio data center project from $250 billion to under $120 billion, reflecting growing investor distrust of AI industry's 'circular financing' structures. The guarantee still covers the entire 10GW project, leaving a gap of over $130 billion. The unprecedented arrangement, in which a chip supplier guarantees its customer's debt, is now straining a plan worth more than $500 billion.
Ukraine's military intelligence agency has discovered an NVIDIA Jetson Orin NX inside Russia's new S-71M autonomous cruise missile. This $999 consumer-grade edge AI chip has been repurposed for terminal guidance, concretely demonstrating how export controls against Russia are structurally failing.
Anthropic will roll out statistical watermarking to future Claude models worldwide. This article explains, based on primary sources, Google's empirical measurements, the gap in Claude-specific accuracy data, detection limits that weaken with short text and editing, and compliance with EU law.
At its Investor Day, SanDisk presented HBF as the savior of AI inference, but the tech community fired back with three concrete rebuttals: understated HBM bandwidth, outdated quantization assumptions, and omitted write endurance figures. This article sorts out HBF's true value and its limitations.
Reports have surfaced that NVIDIA's Feynman generation involves a design change combining TSMC's A16 and N3P. What can officially be confirmed is limited to Feynman's configuration and A16's mass-production readiness—adoption itself remains unconfirmed.
Qwen3.8 has released weights for both a 27B version and a 2.4T version. The former uses Apache 2.0, while the latter carries a proprietary license with scale-based conditions—and the two differ significantly in distribution size and capabilities.
Z.ai improved GLM-5.3's coding performance and offensive capability through additional training on the same base model alone. The API and weights are not yet available, with weight release after safety evaluation marking the next checkpoint to watch.
