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THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR Hardware

HYPERSCALERS BUILD AI DATACENTERS LIKE LEGO SETS TO OUTRUN GRID AND LABOR BOTTLENECKS

Hyperscalers like AWS and Meta are snapping together factory-prefabricated modular datacenters, building mechanical and electrical fit-outs off-site like standardized Lego blocks to bypass construction labor shortages, compressing building schedules by 36% and cutting on-site licensed electrician labor by 85%. It's part of a broader trend of routing around old bottlenecks entirely: developers are increasingly wiring GPU clusters directly to co-located natural gas generation, small modular reactors, or existing nuclear plants, cutting time-to-power from 60 months down to under 18.

ROBOTS STRUGGLE TO COMBINE FAMILIAR INSTRUCTIONS IN NEW WAYS, HERE'S WHY

Robots trained on step-by-step instructions often fail on new combinations of familiar steps they weren't directly shown, and collecting demonstrations for every possible combination is impractically expensive. This paper breaks that failure down into three distinct causes - shifts in individual instructions, shifts in how instructions combine, and shifts in the surrounding context - to figure out exactly what a training set needs to cover rather than how much of it. Full coverage of every instruction combination isn't necessary: a carefully chosen quarter of the task space can match it, as long as that subset preserves the real dependencies between actions rather than just varying surface details.

CHINESE MILITARY RESEARCHERS TAP US AI MODELS TO TRAIN DEFENSE SYSTEMS

A review of over 80 Chinese academic papers and patents found military and security-linked researchers using "model distillation" to train smaller domestic AI systems on outputs from OpenAI and Anthropic models, letting them extract frontier-level capability without needing the massive GPU clusters normally required to train from scratch. It's a workaround that directly undercuts the logic of US chip export controls, since restricting access to advanced silicon matters less if capability can be distilled down onto whatever hardware is already available domestically.

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