Open vs Closed Source Models: Tension and Balance
beffjezos · x · 2026-07-20
Regarding Dean W. Ball's view that "open-weight models slightly accelerate diffusion but, by raising the bar for massive capital, actually slow development," Beff Jezos agreed. He noted a balance: without expected revenue, companies lack incentive to train huge models; but if only closed-source models remain, the market risks oligopoly. A delicate balance between open and closed source is needed.
Related event: Is Open-Source AI Accelerating or Decelerating Progress?(24 posts)→
More from AGI Musings
- US senator slams AI industry for proposing 50-death threshold for 'catastrophic incident' — peterwildeford · 2026-10-27
- Understanding the AI consciousness debate: which theory of mind is behind it — msharmas · 2026-10-27
- Functionalism: if consciousness is just what the brain computes, silicon can run it too — msharmas · 2026-10-27
- iPhone case with 85,000 reviews in days: everything fake in the age of abundance — tekbog · 2026-10-27
- Whether AI can be conscious depends on your definition: five frameworks for thinking about it — msharmas · 2026-10-27
- dunkhippo33 Shares How He Thinks About Raising Kids in the AI Era — kimmonismus · 2026-10-27