Open Source · Anthropic · Bitcoin · Ethereum · Dario Amodei · US Congress · Bitcoin Magazine
He argues the bigger unlock is decentralized training on peer-to-peer networks that mirror Bitcoin and Ethereum
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He names three early projects, Dark Bloom, which enables low-cost private inference on idle Macs; c0mpute, a decentralized inference network; and Pluralis, which trains AI across distributed consumer GPUs, and expects more to launch tokens and reward users for contributing compute.
Key facts
- Brownstone Research's Ben Lilly argues that open-source AI is following Bitcoin's early regulatory battle and says decentralized AI projects could offer investors a "Bitcoin in 2014" opportunity
- Jared Polis buying the first Bitcoin on Capitol Hill in 2014 to Sen
- The note opens with testimony that Anthropic CEO Dario Amodei gave to Congress in July 2023
- A new installment of Chain of Thought, the Brownstone Research newsletter written by Ben Lilly, argues that the battle over open-source artificial intelligence is following the same path Bitcoin
Summary
Brownstone Research's Ben Lilly argues that open-source AI is following Bitcoin's early regulatory battle and says decentralized AI projects could offer investors a "Bitcoin in 2014" opportunity as governments attempt to restrict open models. A new installment of Chain of Thought, the Brownstone Research newsletter written by Ben Lilly, argues that the battle over open-source artificial intelligence is following the same path Bitcoin walked a decade ago, and that investors who recognize the pattern stand to profit. The note opens with testimony that Anthropic CEO Dario Amodei gave to Congress in July 2023. Lilly reads the subtext plainly: if open models are dangerous, then the closed models sold by companies like Anthropic are the safe choice, and the policy that follows is to restrict the open and elevate the closed. He revisits Bitcoin’s early skeptics, from Rep.