Voices: I work in AI. We don’t need to slow down, we need to change what we’re accelerating toward.

摘要: Voices: I work in AI. We don’t need to slow down, we need to change what we’re accelerating toward.

We need people to remain intellectually curious.

正文

Voices: I work in AI. We don’t need to slow down, we need to change what we’re accelerating toward.

We need people to remain intellectually curious.

(Francisco Kjolseth | The Salt Lake Tribune) A cold isle containment cage houses what is ranked among the world’s fastest and greenest supercomputers, in a data center facility in Bluffdale, pictured Tuesday, Aug. 18, 2026.

Sharad Jones | For The Salt Lake Tribune

| Oct. 12, 2026, 6:05 a.m.

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As much as we feel the pace of AI development has been accelerating, I’d argue that things have been stagnant since the release of ChatGPT. I recognize this as a somewhat flippant statement given that the pace of product developments has grown exponentially, but the underlying technologies haven’t followed the same trajectory.

I started working in this field of AI more than a decade ago — at that time we just called it machine learning and, before that, statistics. I’ve had the fortune of building, and teaching students to build, these technologies as both a data scientist in the industry and now as a professor at Utah State University.

So, as we’re coming off weeks of

statement

statement

statement

proclaiming why we should all fear for our existence and why we have a moral imperative to slow AI development, I have to disagree. I believe we need to change what we’re accelerating towards.

First, allow me a brief aside on my opinions over recent statements. The organizations building “frontier models” (OpenAI, Anthropic, etc.) benefit from a public slowdown. Doing so would reduce the threat of diminishing returns on a product that, under the current paradigm, will continue to cost more to improve upon. Those same industry leaders would also benefit from the effects of regulatory capture, using government regulation (i.e. a slowdown) to limit the ability of future competitors to match or exceed their AI capabilities.

Now, in their view, if we don’t slow down, they have

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