FUNDING
EPISODE #6: NYM
October 2, 2023

Internet Surveillance And Web3 Freedoms

Nym uses decentralised mixnets to protect privacy in communications, blockchains, apps, and individuals otherwise exposed to surveillance and unauthorised data collection.

NYM

HIGHLIGHTS

Incentivising Reputation
Voices Of Dissent
A Global Need
Satoshi's Origins
Privacy Network Infrastructure
Customisable Privacy
Humanity's Greatest Threat

HARRY

Harry discussess why our personal footprint and communications on the Internet need to be more protected and private. Prior to Nym, Harry was Snr Research Scientist at MIT and Inria de Paris, where he led interdisciplinary research on socio-technical systems and privacy. 

He holds a Ph.D. in Informatics from the University of Edinburgh, has published over 100 peer-reviewed papers on topics ranging from AI, cryptography and blockchain, to social networking, search engines and philosophy. He is also a visiting professor at the American University of Beirut where he teaches cryptocurrency.

EXPLORED IN THE EPISODE

Key Takeaways:

  • The origins of Nakamoto and proof of work 
  • A watershed event will drive mass adoption in privacy
  • Humanity’s biggest existential threats require freedom to collaborate 
  • Privacy models have to extend to the network level 
  • A connected private landscape doesn’t exist
  • Privacy loves company

TIMESTAMPS

4.14: Dissent And Government Surveillance 

8.30: Working With Tim Burness Lee 

12.30: Germany Requests A Super VPN 

15.26: The World Needs Privacy

23.00: Fundraising During A Crypto Crash

26.51: Origins Of Mixnets 

30.08: Nakamoto’s Identity

35.50: Reputation Systems In Mixnets 

42.00: Privacy At The Network Level

46.20: Customisable Privacy

52.40: Humanity’s Greatest Threat

59.30: A Watershed Event For Privacy

1.06.06: Onboarding Nym

October 2, 2023

Internet Surveillance And Web3 Freedoms

Nym uses decentralised mixnets to protect privacy in communications, blockchains, apps, and individuals otherwise exposed to surveillance and unauthorised data collection.
Timestamps
Firmographics
Links
Telegram

Key Takeaways:

  • The origins of Nakamoto and proof of work 
  • A watershed event will drive mass adoption in privacy
  • Humanity’s biggest existential threats require freedom to collaborate 
  • Privacy models have to extend to the network level 
  • A connected private landscape doesn’t exist
  • Privacy loves company

4.14: Dissent And Government Surveillance 

8.30: Working With Tim Burness Lee 

12.30: Germany Requests A Super VPN 

15.26: The World Needs Privacy

23.00: Fundraising During A Crypto Crash

26.51: Origins Of Mixnets 

30.08: Nakamoto’s Identity

35.50: Reputation Systems In Mixnets 

42.00: Privacy At The Network Level

46.20: Customisable Privacy

52.40: Humanity’s Greatest Threat

59.30: A Watershed Event For Privacy

1.06.06: Onboarding Nym

Timestamps
Firmographics
Telegram

Key Takeaways:

  • The origins of Nakamoto and proof of work 
  • A watershed event will drive mass adoption in privacy
  • Humanity’s biggest existential threats require freedom to collaborate 
  • Privacy models have to extend to the network level 
  • A connected private landscape doesn’t exist
  • Privacy loves company

4.14: Dissent And Government Surveillance 

8.30: Working With Tim Burness Lee 

12.30: Germany Requests A Super VPN 

15.26: The World Needs Privacy

23.00: Fundraising During A Crypto Crash

26.51: Origins Of Mixnets 

30.08: Nakamoto’s Identity

35.50: Reputation Systems In Mixnets 

42.00: Privacy At The Network Level

46.20: Customisable Privacy

52.40: Humanity’s Greatest Threat

59.30: A Watershed Event For Privacy

1.06.06: Onboarding Nym

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