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123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

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Manage episode 328265209 series 2546508
Contenido proporcionado por The TDS team. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The TDS team o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Two ML researchers with world-class pedigrees who decided to build a company that puts AI on the blockchain. Now to most people — myself included — “AI on the blockchain” sounds like a winning entry in some kind of startup buzzword bingo. But what I discovered talking to Jacob and Ala was that they actually have good reasons to combine those two ingredients together.

At a high level, doing AI on a blockchain allows you to decentralize AI research and reward labs for building better models, and not for publishing papers in flashy journals with often biased reviewers.

And that’s not all — as we’ll see, Ala and Jacob are taking on some of the thorniest current problems in AI with their decentralized approach to machine learning. Everything from the problem of designing robust benchmarks to rewarding good AI research and even the centralization of power in the hands of a few large companies building powerful AI systems — these problems are all in their sights as they build out Bittensor, their AI-on-the-blockchain-startup.

Ala and Jacob joined me to talk about all those things and more on this episode of the TDS podcast.

---

Intro music:

- Artist: Ron Gelinas

- Track Title: Daybreak Chill Blend (original mix)

- Link to Track: https://youtu.be/d8Y2sKIgFWc

---

Chapters:

  • 2:40 Ala and Jacob’s backgrounds
  • 4:00 The basics of AI on the blockchain
  • 11:30 Generating human value
  • 17:00 Who sees the benefit? 22:00 Use of GPUs
  • 28:00 Models learning from each other
  • 37:30 The size of the network
  • 45:30 The alignment of these systems
  • 51:00 Buying into a system
  • 54:00 Wrap-up
  continue reading

132 episodios

Artwork
iconCompartir
 
Manage episode 328265209 series 2546508
Contenido proporcionado por The TDS team. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The TDS team o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Two ML researchers with world-class pedigrees who decided to build a company that puts AI on the blockchain. Now to most people — myself included — “AI on the blockchain” sounds like a winning entry in some kind of startup buzzword bingo. But what I discovered talking to Jacob and Ala was that they actually have good reasons to combine those two ingredients together.

At a high level, doing AI on a blockchain allows you to decentralize AI research and reward labs for building better models, and not for publishing papers in flashy journals with often biased reviewers.

And that’s not all — as we’ll see, Ala and Jacob are taking on some of the thorniest current problems in AI with their decentralized approach to machine learning. Everything from the problem of designing robust benchmarks to rewarding good AI research and even the centralization of power in the hands of a few large companies building powerful AI systems — these problems are all in their sights as they build out Bittensor, their AI-on-the-blockchain-startup.

Ala and Jacob joined me to talk about all those things and more on this episode of the TDS podcast.

---

Intro music:

- Artist: Ron Gelinas

- Track Title: Daybreak Chill Blend (original mix)

- Link to Track: https://youtu.be/d8Y2sKIgFWc

---

Chapters:

  • 2:40 Ala and Jacob’s backgrounds
  • 4:00 The basics of AI on the blockchain
  • 11:30 Generating human value
  • 17:00 Who sees the benefit? 22:00 Use of GPUs
  • 28:00 Models learning from each other
  • 37:30 The size of the network
  • 45:30 The alignment of these systems
  • 51:00 Buying into a system
  • 54:00 Wrap-up
  continue reading

132 episodios

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