@philhchen
Building something new. Previously research @openai @GoogleDeepMind @scale_AI @Stanford
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Core Automation describes two sites with different GPUs and parallelism schemes connected by a bidirectional 25 Gbps link.
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Claude says its proactive app will brief users on connected apps and seek approval for specified sensitive actions.
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A user compares that potential shift to writing and the printing press, which spread intellectual output widely.
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A post contrasts CPUs' few fast cores with GPUs' many threads and lower clock speeds as metaphors for work.
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A post argues that direct pixel-space training has an advantage because even good simulators are costly and lossy.
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OpenAI says it drew on an independent mathematics advisory group’s advice about how to release the results.
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A post puts a GB300 NVL72 rack at roughly 1,580 kg and $5 million, or $3,165 per kilogram, then projects a much higher value per kilogram for future NVL72-class racks.
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One post argues that high model costs clash with a basic constraint: most people still cannot pay for software.
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A user asks whether others have used image inputs with Qwen3.5 35B-A3B on Tinker.
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One user calls both impressive but says they miss too many important details when given autonomy.
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Updated model targets coding, reasoning, and long-running agentic tasks.