Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
Quick summary
arXiv:2511.07885v5 Announce Type: replace-cross Abstract: Large language model (LLM) queries are predominantly processed by frontier models in centralized cloud infrastructure. Demand growth strains this paradigm faster than providers can scale. Two advances create an opportunity to rethink it: small, local LMs (
Key takeaways
- arXiv:2511.07885v5 Announce Type: replace-cross Abstract: Large language model (LLM) queries are predominantly processed by frontier models in centralized cloud infrastructure.
- Demand growth strains this paradigm faster than providers can scale.
- Two advances create an opportunity to rethink it: small, local LMs (
Why it matters
AI progress is not only a software story. Chips, data centers and energy decisions help determine which models can operate economically and what end users ultimately pay.
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