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Contenido proporcionado por Proof of Coverage. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Proof of Coverage 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.
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Data Privacy by Default with Nillion | Miguel de Vega

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Manage episode 469444999 series 3446703
Contenido proporcionado por Proof of Coverage. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Proof of Coverage 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.

Follow Proof of Coverage Media: https://x.com/Proof_Coverage

Connor welcomes Miguel from Nillion to discuss the company's latest endeavors. Miguel shares insights into Nillion's motivation for launching an internal podcast designed to provide builders and developers with a platform to showcase their projects. The conversation explores the benefits of open-sourcing AI models, highlighting how Nillion leveraged DeepSeek's R1 model to develop a privacy-preserving "blind guru" chatbot. Additionally, the episode examines the broader implications of DeepSeek's open-source approach and the ongoing challenges surrounding privacy and security in AI development.

Timestamps:

00:00 - Introduction

00:40 - Privacy-Preserving AI: The Impact of DeepSeek's Model

04:13 - Trust and Privacy in AI Agents

10:17 - How Web3 Can Benefit from Seamless Privacy Integration

18:31 - The Connection Between Web2, Web3, and Privacy with ZkTLS

22:17 - A Look at Privacy Solutions

26:00 - Unique Use Cases for Nillion Technology

30:54 - Ways to Get Involved with the Community

Disclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.

  continue reading

125 episodios

Artwork
iconCompartir
 
Manage episode 469444999 series 3446703
Contenido proporcionado por Proof of Coverage. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Proof of Coverage 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.

Follow Proof of Coverage Media: https://x.com/Proof_Coverage

Connor welcomes Miguel from Nillion to discuss the company's latest endeavors. Miguel shares insights into Nillion's motivation for launching an internal podcast designed to provide builders and developers with a platform to showcase their projects. The conversation explores the benefits of open-sourcing AI models, highlighting how Nillion leveraged DeepSeek's R1 model to develop a privacy-preserving "blind guru" chatbot. Additionally, the episode examines the broader implications of DeepSeek's open-source approach and the ongoing challenges surrounding privacy and security in AI development.

Timestamps:

00:00 - Introduction

00:40 - Privacy-Preserving AI: The Impact of DeepSeek's Model

04:13 - Trust and Privacy in AI Agents

10:17 - How Web3 Can Benefit from Seamless Privacy Integration

18:31 - The Connection Between Web2, Web3, and Privacy with ZkTLS

22:17 - A Look at Privacy Solutions

26:00 - Unique Use Cases for Nillion Technology

30:54 - Ways to Get Involved with the Community

Disclaimer: The hosts and the firms they represent may hold stakes in the companies mentioned in this podcast. None of this is financial advice.

  continue reading

125 episodios

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