Rigging the AI Race: Breaking Down the Centralization of Compute
We live in an era were AI is reshaping industries. However, access too computing resources can dictate success. A few private entities control meaningful computing power, limiting others’ chances. It’s like having keys to the electrical grid but restricting everyone else’s access.
Centralized Control: Today, major advancements rely on limited server access. This creates an uneven playing field favoring those with insider connections over merit and innovation.
- Big tech deals, like Meta’s $10 billion agreement with Google, reinforce this imbalance.
- This setup discourages new ideas by forcing researchers and students to conform within strict quotas.
Treat Compute as a Utility: Imagine if compute power were as accessible as electricity.透明和公平的定价，开放的时间表，以及为新人预留的空间可以激发创新。这将使更多人自由地实验和迭代，促进突破性进展。
Distributed Network Benefits: Decentralizing compute near renewable energy sources reduces costs and grid压力。欧洲的人工智能大陆行动计划建议建立一个由AI工厂和区域天线组成的网络，以实现跨境互操作。
Public funding should prioritize open access scheduling, cost-based pricing, and directory公开可用. This encourages a vibrant ecosystem where newcomers can thrive alongside established players.
Unlock Innovation Through Open Access: It’s crucial to shift from scarcity to abundance in compute resources.compute should be treated as a fundamental right for creativity and progress.
