Experts: Open Ecosystems Key to Sustaining AI Progress
animesh_garg · x · 2026-07-19
Animesh Garg echoed Alex Dimidis's sentiment, emphasizing that open ecosystems are crucial for maintaining the pace of AI development.
- Openness drives innovation: The golden age of machine learning (2014-2022) benefited massively from open sharing, where academia-industry collaboration drove breakthroughs and cemented US leadership in AI.
- The cost of closed source: Walled gardens stifle independent exploration and slow down knowledge diffusion. Currently, US AI labs are stuck in a "bad equilibrium," leading to the repeated discovery of common techniques or massive payouts to insiders for them.
- Advantages of openness: The ArXiv culture accelerated ML iteration, and similar openness is the core reason behind the rapid boom in China's hardware ecosystem and today's open-source models.
Related event: Open Models Act as Accelerators, Not Decelerators(9 posts)→
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