A prediction market trades on outcomes. An information market trades on knowledge. Fielding makes the case for the latter.
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What if the biggest constraint on AI is not compute or data, but trust? Ben Fielding, CEO and co-founder of Gensys, spent years as a machine learning researcher before concluding that decentralized hardware was the only path to true scale, and that blockchain was the only technology that could make machines trust each other without human intermediaries. With the launch of Delphi, Gensys's onchain information market built on an OP stack L2, Fielding puts his theory to the test while making the case that prediction markets have been asking the wrong question all along, and that the long tail of markets no one has thought to create yet is where the real opportunity lies. 

Host:
<ul>
 <li>
<a href="https://x.com/ramahluwalia">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a>Steve Ehrlich, Head of Research at SharpLink and Host of Bits + Bips: The Interview - https://x.com/Steven_Ehrlich
</li>
</ul>
Guest:
<ul>
 <li>
<a href="https://x.com/ramahluwalia">⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠</a>Ben Fielding, CEO & Co-Founder, Gensys @BenFielding
</li>
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