馃攼 AI Trust Crisis: Why Verification Beats Assumptions

馃攼 Trust Assumptions Broken

By 0G Labs
Apr 27, 2026, 3:26 PM
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Photo by 0G Labs

Jake Salerno's keynote at the Burton Stage drew standing-room-only crowds, with attendees sitting on the floor to hear his message on AI trust.​

The core argument: AI systems currently operate on trust assumptions, but verification can fundamentally change this paradigm.​

Three pillars of verified AI:

  • Verified Compute
  • Verified Identity
  • Verified Training

The presentation builds on earlier data showing enterprise trust in AI sits at just 27%, while non-human identities already outnumber humans 100:1.​ Salerno's framework positions verification not as a marketing slogan, but as an essential engineering requirement for AI systems to earn genuine trust.​

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