
Sign up to save your podcasts
Or


This episode examines the risks AI startups face when relying on rented compute and how decentralization can offer a more sustainable path.
It draws parallels to Bitcoin’s legacy of decentralization, explaining how peer-to-peer networks, consensus mechanisms, and incentives can reduce vendor control, improve security, and protect data privacy.
Listeners get a clear view of the pitfalls of centralized compute and why decentralized AI models may be crucial for the future of innovation and autonomy in the AI industry.
By Ciro IrmiciThis episode examines the risks AI startups face when relying on rented compute and how decentralization can offer a more sustainable path.
It draws parallels to Bitcoin’s legacy of decentralization, explaining how peer-to-peer networks, consensus mechanisms, and incentives can reduce vendor control, improve security, and protect data privacy.
Listeners get a clear view of the pitfalls of centralized compute and why decentralized AI models may be crucial for the future of innovation and autonomy in the AI industry.