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Applied AI·August 1, 2026·1 min read

Quote of the day by investor Warren Buffett on AI capex: "That's real money... That kind of money wasn't even put in the railroad business" — outlining his bullish long-term thesis on AI

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When Buffett compares AI capex to railroads, he’s telegraphing that hyperscaler spend is now true industrial infrastructure, not just IT budget. If you're building on this stack, plan for a world where power, land, and long-term capacity reservations become as strategic as cloud contracts.

Applied AI

Startup swaps costly AI GPUs for Arm cores and up to 128TB of 'cheap' LPDDR6 RAM instead of expensive HBM to smash through the memory wall

If Majestic Labs can make Arm + 128TB LPDDR6 viable for inference, the constraint shifts from flops to memory bandwidth and data locality—good enough compute with huge cheap memory is a different design space than GPU + HBM. For operators, this is an early signal to segment workloads by memory footprint and tolerance for latency rather than defaulting everything to GPU clusters.