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NVIDIAはIPO時からでも8606倍にはなってるわけだが 時価総額が低かったからこそそれだけのリターンになってるわけで 2年前、8,320円で2000株買った 利益は5000万円超 今でも持ち続けている そして今、日本の量子・宇宙に投資している SpaceX級になると信じている あの頃のNVIDIAを思わせる超低位株です

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NVIDIA just open-sourced a model that takes broken, blurry 3D scans and rebuilds them clean from any angle.. It's called ArtiFixer. It uses video diffusion to generate the camera angles you never captured, then reconstructs the scene from the generated frames. → 70x faster than anything → Finishes in 1 to 4 steps → Beats SOTA by 3dB → Works from just text prompts 100% Open Source.

Goodbye Claude Code subscription fees. Someone just built a proxy that runs Claude Code completely free... and it's wild. You literally plug in a free NVIDIA API key and point Claude Code at localhost. That's it. It handles everything: - Converts Anthropic API calls to NVIDIA NIM format - Unlocks 40 requests/min for free - Supports Kimi K2, GLM 4.7, MiniMax M2, Devstral and more - Streams thinking tokens and tool calls live - Even includes a Telegram bot so you can run Claude Code from your phone No API bill. No rate limit panic. No vendor lock-in. Honestly, this goes beyond router tools like OpenRouter. It doesn't just swap the model... it turns Claude Code into a free agent you can control remotely. The project is open-source on GitHub. It's called free-claude-code.

NVIDIAはIPO時からでも8606倍にはなってるわけだが 時価総額が低かったからこそそれだけのリターンになってるわけで 2年前、8,320円で2000株買った 利益は5000万円超 今でも持ち続けている そして今、日本の量子・宇宙に投資している SpaceX級になると信じている あの頃のNVIDIAを思わせる超低位株です

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.