Story thread · 2 reports / 2 sources

Accelerating AI innovation through open weights

infoworld.com · 4hShare

Open-weight AI models are a big deal, as Nvidia and more than 200 other companies and organizations attested in their “Open Weights and American AI Leadership” letter in July. The question is who will pay for them. Why are they a big deal? Well, former Red Hat CEO Jim Whitehurst will tell you that “open weights can play the same catalytic role [as open source]” to drive innovation in AI. This isn’t to suggest that open source, or open weights, will “win” in some absolute sense. Linux, for example, has become essential to the fabric of enterprise computing, but there are still plenty of Windows servers running. So open-weight models like Kimi or Nemotron aren’t going to topple Anthropic or OpenAI anytime soon. However, according to Whitehurst, they can “create a broader competitive landscape where innovation happens faster, and the power of AI is broadly shared.” Again, only if we can figure out how to pay for them. Betting on self-interest That was the concern I expressed to Whitehurst

First report: “Open weights are nowhere near a sufficient solution”: Dario Amodei fires back on AI power — thenewstack.io, 1d