The Café Bitcoin Podcast

“21 Questions: A Beginners Guide to Bitcoin" with Aleks Svetski, Tomer Strolight, and Brady Swenson - March 13th, 2024

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Mar 13, 2024
Aleks Svetski, founder and Bitcoin educator known for his work on Bitcoin-first projects, joins Tomer Strolight and Brady Swenson for a deep dive into Bitcoin and AI. They discuss the challenges of creating a Bitcoin-centric AI, the significance of training models with high-quality data, and why Bitcoin remains superior to meme coins. Aleks also explores the importance of specialized language models over generic ones, shedding light on how they can effectively educate beginners on Bitcoin concepts.
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INSIGHT

ETF Flows Reveal Real Bitcoin Liquidity

  • Bitcoin ETF inflows created visible new demand and liquidity across global markets.
  • That liquidity reveals Bitcoin as a mainstream traded asset with billions moving daily.
INSIGHT

Specialized LLMs Encode Domain Worldviews

  • Specialized LLMs can encode domain-specific paradigms unlike general models.
  • Aleks trained a Bitcoin-centric model to embed an Austrian/Bitcoin bias rather than normie responses.
ADVICE

Distill Data Before Training Models

  • Distill large audio/text sources to only the relevant Q&A before training.
  • Extract concise Bitcoin-focused snippets; avoid feeding noisy conversational content into the model.
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