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Carbon Nanofibers in Dry-Coated Batteries Will Boost Energy Density by 20% for Tesla

Carbon Nanofibers in Dry-Coated Batteries (21.8% Energy Density Gain) is described by Jordan at the Limiting Factor. A new University of Chicago paper (published March 2026) demonstrates a simple but powerful tweak to dry-electrode cathode design that delivers a 21.8% increase in usable energy density while maintaining excellent cycle life. The breakthrough relies entirely on …

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Recursively Self Improving AI Will Have Unlimited Space Based Solar Power

Eric Schmidt and other AI leaders (Karpathy, Musk, Anthropic executives) have described recursive self-improvement (RSI)—AI autonomously designing, testing, and deploying better versions of itself—as the pivotal transition from narrow, human-guided progress to potentially explosive, closed-loop intelligence growth. RSI is not yet fully autonomous across the entire AI stack with no human oversight but narrow versions …

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High Gear Moonbase Program Kicks Off With 30 Robotic Moon Missions Starting in 2027 and Nuclear Powered Base by 2030

NASA will advance lunar science by affordably building out of the Moon Base and underpin future Moon and Mars exploration. An accelerated CLPS cadence, targeting up to 30 robotic landings starting in 2027. NASA is expediting delivery of science and technology to the lunar surface. There will be many opportunities for payload delivery including rovers, …

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NASA Space Reactor 1 Freedom for Nuclear Powered Interplanetary to Mars in 2028

NASA will launch the Space Reactor‑1 Freedom, the first nuclear powered interplanetary spacecraft, to Mars before the end of 2028, demonstrating advanced nuclear electric propulsion in deep space. Nuclear electric propulsion provides an extraordinary capability for efficient mass transport in deep space and enables high power missions beyond Jupiter where solar arrays are not effective. …

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Does the TESLA FSD CHIP Match the Human Brain ?

Tesla has the world’s most advanced AI (not OpenAI). Autopilot runs superhuman edge AI on HW4 (only 20–50W — same as human brain) while Nvidia B300/Rubin use 1,500–2,000W+. AI5 will jump to 800W for more tasks (distributed inference), but efficiency still unmatched. FSD 14.3 (10x parameters, reasoning model) incoming — “the last big piece” for …

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