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Mozilla's partnership with Mistral brings Mistral Small 4 to Smart Window. Here's how the three-model choice, cloud inference, proxy protection, and memory storage actually work.
Reports say SK hynix may lease part of Intel's Ohio fab to make memory in the US. Here's how this compares to its Indiana back-end plant, what Intel's construction timeline implies, and the conditions—tooling, tech transfer, and qualification—that still stand between talks and production.
Anthropic is merging Claude Chat and Cowork into a single experience. Based on primary sources, we break down how this differs from July's shared home update, what Docs and Slides bring, and which boundaries—permissions, usage, and devices—still remain.
Intel CEO Lip-Bu Tan revealed in an official livestream that the company can supply only about 50% of the CPUs customers are requesting. While AI inference is pushing up CPU demand, three constraints—Intel's own fab capacity, memory, and semiconductor packaging substrates—are limiting supply.
DDR4 2Gx8 branded chips pulled back and DDR5 demand cooled, but the mainstream 1Gx8 average rose 0.47% week over week. A look at why the product-level split—and suppliers' own disclosures—means spot softening can't yet be read as falling contract or retail prices.
Micron has announced the world's first demonstration of a 512GB DDR5 RDIMM. By stacking 32Gb dies with TSV technology, it achieves speeds up to 9,200 MT/s while cutting power consumption to 16.0W. With 24 slots, it enables 12TB of main memory, with mass production validation targeted for late 2027.
An anonymous leak claims next-gen GeForce, including an RTX 6090, is targeting early 2027. We examine that claim against NVIDIA's official launch cadence, Rubin architecture specs, and its supply and revenue disclosures.
Perplexity's local AI agent now supports Windows. We look at its on-device runtime design, the 24GB VRAM requirement, and where local processing ends when cloud services are involved.
Fujitsu's newly released OpenQARP v0.1.0 separates quantum circuits, measurement targets, and execution engines, making research algorithms reusable across environments. Drawing on public materials, this piece examines what the design means and the limits of evidence so far—no results yet confirm quantum advantage or outside-developer adoption.
TypeSafe has released Jev, a decision-only AI that returns choices and probabilities in parallel rather than writing prose. How does it differ from conventional LLMs? We examine RLCD, structured outputs, what confidence means, and the conditions behind the speed claims, drawing on official specs and third-party trials.
