
AI is broken. Hang Yin, co-founder of Phala Network, believes the fix starts with privacy and open-source transparency.
In the 3rd episode of AI Supercycle, our premiere AI weekly show presented by NEAR, we dive into:
• Why current AI models are fundamentally unsustainable
• How confidential computing could protect data in the AI era
• The missing layer of encryption that no one talks about
• Open-source AI vs. corporate black boxes
• Why decentralization is the only path to real alignment
• The nuclear-fusion analogy for AI control
Hang shares how Phala is building the infrastructure for private, verifiable AI, and why the next evolution of intelligence won’t come from closed systems, but from open networks.
Watch the full episode now.
Timestamps:
00:00 Intro
00:46 Intel TEE Exploits
07:20 Hibachi, Recall Ad
08:03 Encryption Stack in AI Systems
12:29 Secured Encryption Services
16:30 Phala’s TEE Stack Infrastructure
20:05 Default for AI Product Building
24:45 Onchain Governance in AI
29:27 Talus, Relay, Enso Ad
30:11 Future of Private AI
34:05 Open Data to AI Supply Chain
36:02 Who is Phala Really For?
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