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| title-long: "Innovation, Market Concentration, and Open Development" | |
| title-short: Development and Market Dynamics | |
| document-id: developing | |
| tags: | |
| - innovation | |
| - competition | |
| - regulation | |
| # abstract in text format | |
| abstract: > | |
| The unique intersection of technical innovation, reliance on data at extraordinary scales, | |
| rapid deployment across most existing economic domains and infrastructures, and dependence on dedicated | |
| computation centers that characterize modern AI systems shape its commercial | |
| development and competition dynamics in new ways that strain existing market systems. | |
| # introduction and sections in HTML format | |
| introduction: > | |
| <p> | |
| “AI” and Machine Learning systems are already ubiquitous, deployed in social | |
| media and all kinds of digital services. AI can be compared to “Software 2.0” - | |
| AI literacy is becoming part of the basic set of skills to build any kind of | |
| technology. Relying exclusively on AI systems that are developed and served by a | |
| handful of companies would have strong negative impacts on innovation and competition. | |
| </p> | |
| <p> | |
| Having access to data is a significant competitive bottleneck, including: data about | |
| how people are using AI systems - data about what AI systems are better or worse out - | |
| use data and feedback from users - proprietary data to fine-tune models - internal databases | |
| for RAG-like techniques. Sending all of that data to a few companies further centralizes | |
| their role in adapting new technology. In addition to enabling anti-competitive practices, | |
| this also limits the breadth of technology that can be developed - better to have smaller | |
| companies work on their own hundreds of thousands of use cases than to have central entities | |
| decide what is worth deploying and providing a “just OK” unique solution for everything. | |
| </p> | |
| <p> | |
| Access to compute has become a strong market concentration point for generative AI systems, | |
| and there is strong vertical integration between the cloud providers and “frontier” model developers. | |
| Mitigating that vertical integration is essential. Providing more efficient and purpose-specific systems | |
| breaks some of that dependence on large cloud compute. | |
| </p> | |
| sections: | |
| - section-title: Openness and Innovation | |
| section-text: > | |
| <p> | |
| Section text, HTML-formatted, TODO | |
| </p> | |
| - section-title: Regulation and Innovation | |
| section-text: > | |
| <p> | |
| Section text, HTML-formatted, TODO | |
| </p> | |
| - section-title: Competition and Market Concentration Dynamics | |
| section-text: > | |
| <p> | |
| Section text, HTML-formatted, TODO | |
| </p> | |
| resources: | |
| - resource-name: Google Doc topic Card | |
| resource-url: https://docs.google.com/document/d/17ksxEVyBcRGL6e6da4OPbjRxuCT5iEx5Ih67bj1Fc_w/ | |
| contributions: > | |
| Yacine Jernite wrote this document. | |