• The Most Nonconsensus Approach to Training Models

  • Mar 21 2025
  • Duración: 52 m
  • Podcast

The Most Nonconsensus Approach to Training Models

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • The rapid rise of DeepSeek earlier this year provided many developers the tremendous validation that open source AI could overtake centralized machine learning. Still, there’s one nonconsensus approach to training models that is hotly debated in the deAI sphere.

    CoinFund portfolio company Pluralis Founder Alexander Long and Topology Ventures Founder and Managing Partner Casey Caruso join Mined with CoinFund host Jake Brukhman to discuss decentralized training: how it works, why people are critical of its potential, and how open source AI can uproot regimes of control over information. They cover:

    - Why skeptics believe decentralized training won’t work (3:50)
    - Training AI as a public good (12:08)
    - DeepSeek’s threat to traditional AI (17:54)
    - Web3’s contributions to broader AI (28:33)
    - Monetizing open models (38:08)

    Don’t miss the latest episode of Mined with CoinFund, available on Apple, Spotify and YouTube.

    https://podcasts.apple.com/us/podcast/mined-with-coinfund/id1758988850

    https://open.spotify.com/show/1ZxUQqsbsjLvtjyyTxHoNR

    https://youtu.be/os1zx6dL0nQ
    Más Menos
Más Menos
adbl_web_global_use_to_activate_webcro805_stickypopup

Lo que los oyentes dicen sobre The Most Nonconsensus Approach to Training Models

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles