2026-09-18 11:21 UTC
Policy and procurement should prefer the smallest model that can reliably perform a task.
That is not a ban on general-purpose or frontier models. Some problems may justify them. But “larger” should not be accepted as a synonym for “better.” Not every nail requires an orbital hammer.
Smaller, specialized models can reduce computation, memory, hardware, and energy requirements in both deployment and further development. They can also make systems easier to test and replace.
My preference is simple: use scale where its additional value can be demonstrated, not merely where it can be financed. Speculative future capability should not automatically outweigh present ecological cost.
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Replies (1)
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@masek@infosec.exchange 2026-09-18 11:21
Freedom of choice must be part of AI policy. AI as a service and open-weight models both have a legitimate role. Regulation and public procurement should preserve the ability to choose between them: portability of data and evaluations, interoperable interfaces, the right to run models locally, and credible exit paths from providers. Freedom of choice also includes the option not to use AI where it adds no value, and access to a human route where an essential service is involved. Convenience today must not quietly become dependency tomorrow. Exit doors are best installed before anybody smells smoke. 25/34