Humanoid robots will develop in a similar way to vacuum robots. Initially, they will be a nice gadget with very limited functionality. But within a few months, or even fewer years, they will become more intelligent, be able to perform more tasks, and adapt better to their
HARDWARE
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Charles forking processes powerful hardware computing infrastructure
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Dammit Charles. You and your forking processes on beefy hardware. Now you're making us all gay.
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NVIDIA Rubin CPX: Million-Token GPU for Enterprise Inference
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NVIDIA Rubin CPX introduces a new class of GPU built for million-token inference, enabling companies to unlock up to $5B in token revenue for every $100M invested. 💵 https://t.co/m6VZVCSguv
— NVIDIA AI (@NVIDIAAI) 10 septembre 2025NVIDIA Rubin CPX introduces a new class of GPU built for million-token inference, enabling companies to unlock up to $5B in token revenue for every $100M invested.
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Why Macs Are Poor Investments for LLM Work
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i keep telling people if you're serious about LLMs, don't buy a Mac it's a poor investment for this use case
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Phone Design Concerns: Thinness vs Grip and Drop Risk
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The phone seems too thin for my hands and I’d worry dropping it. I’m a pro max guy and I feel it’s always being dropped by its size, but then make it thinner?
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14x RTX 3090 GPUs with NVLink Bridge Configuration
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14x RTX 3090s, each on PCIe 4.0 x8, 16 GB/s per card NVLink bridges pair up 7 sets for 112.5 GB/s GPUGPU, rest goes over PCIe
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NVIDIA Launches Rubin CPX GPU for Advanced AI Inference
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Some of today’s most advanced AI workloads, like code and video generation, demand context processing at unprecedented scale, often exceeding one million tokens.
— NVIDIA (@nvidia) 9 septembre 2025
This is why NVIDIA is launching Rubin CPX: a GPU purpose‑built for the compute‑intensive context phase of inference.… pic.twitter.com/5q7kF78FFPSome of today’s most advanced AI workloads, like code and video generation, demand context processing at unprecedented scale, often exceeding one million tokens. This is why NVIDIA is launching Rubin CPX: a GPU purpose‑built for the compute‑intensive context phase of inference.
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NVLink Configuration Achieves 112GB/s Multi-Node Data Transfer Rate
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for this node, i have 7x NVLinks establish 112GB/s data transfer rate between each pair
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New iPhone Apps: Future of Mobile Innovation
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Would love to see new apps running on your iphone.