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Reporting and discussion about Compute & Energy, with links to the original sources.
Naam predicts that AI-assisted code conversion could weaken NVIDIA’s software lock-in in 2026–2027, making rival chips easier to use. The panel’s counterargument: fast connections between chips still matter, even when the work shifts from training models to answering users.
Expensive AI chips can sit idle while data centers wait for grid connections. On Moonshots, energy investor Ramez Naam argued that accepting less grid power during peak demand could shorten that wait. Workload scheduling and batteries offer two ways to do it, but national estimates of spare capacity are not promises of power at a particular site.
Meta says its infrastructure investments generated tax revenue that paid $50,000 teacher bonuses in Richland Parish. Its community commitments prompted a bargaining argument on Moonshots: towns hosting AI data centers should negotiate benefits, with Alex Wissner-Gross proposing “universal basic electricity.” The unresolved question is how to turn an attractive offer into lasting local gains.