AI and Open Compute - How to Solve the World's Big Problems
summary
Argues that decentralized serverless compute (Fluence) runs cloud-like stacks off-chain with proof of compute verifiability, edge hosting and fiat payments for enterprise. Claims up to 80% cheaper than centralized clouds, cites Hugging Face scale (≈340,000 models, +40,000/month) and that ChatGPT costs roughly $700,000/day to run. Positions this stack to enable censorship-resistant, composable AI models, unstoppable applications, and capture a serverless market rising from $9B toward $55B. Mainnet targets end of year.
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chapters (13)
- 0:00Intro
- 0:24What are the biggest problems
- 1:13Why are they hard
- 1:47AI to the rescue
- 2:53Open Compute and Compute Solutions
- 3:36Smart Contracts
- 4:50Open Decentralized Compute
- 5:46Open Decentralized Benefits
- 7:49Does Open Compute Work
- 8:43What is Open Compute
- 9:49What is Fluence
- 12:36Our Mission
- 13:08Outro
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