This session starts with Mark and Siam briefly addressing the decision to pivot away from “Handshake”: it didn’t gain the traction they hoped, the team’s focus drifted toward building trading/mining “skills” that didn’t feel like a scalable revenue path, and they chose to “rip the band-aid off” rather than keep a zombie project alive. They argue that in AI (especially on Bittensor) things change fast, so it’s better to redeploy talented builders quickly, even if that decision attracts criticism.

The main segment features Subnet 103 “Djinn,” led by Harry Crane (stats professor with deep prediction markets/sports betting background) and Iosef Gerstein (finance + scientific startups). Djinn’s core idea is a “genius–idiot network”: profitable bettors (“geniuses”) have an edge but get limited/banned by sportsbooks, while the mass of recreational bettors (“idiots,” i.e., accounts that can still place bets) can execute. Djinn is building a trustless, privacy-preserving information exchange to connect the two—geniuses sell time-sensitive betting signals, buyers execute them wherever they have access (Bet365, Polymarket, etc.), and the protocol uses Bittensor miners/validators for verification and obfuscation (including decoys) so neither Djinn nor outsiders can easily steal signals. Revenue is expected to come from transaction fees (they discuss ~0.5% as a working idea), with buybacks/utility mechanisms considered to support alpha; they’re currently moving from fake-money testing to low-stakes real-money testing and say they’ll launch only when they’re confident it’s safe.

This episode, Mark discloses that DSV is already invested in today’s subnet, but they’ll still ask the awkward questions. They bring on Koyuki (“special k”) from San Francisco, who shares her background in AI (web2 + web3), how she joined the Bittensor Foundation/OTF as Head of AI, and then dives into her slides on Subnet 78, Vocence.

Koyuki pitches Vosens as a decentralized “voice intelligence layer” on Bittensor, targeting the rapidly growing voice AI market and competing with incumbents like ElevenLabs by being more open, cheaper, and driven by Bittensor incentives. She shows that Vocence already has a live studio product (TTS/STT, voice cloning/design, text-to-music, API) and outlines how miners submit models that validators score across nine dimensions (script accuracy and naturalness weighted highest), with winning models becoming the new baseline for inference. On revenue, she describes a credit-based SaaS model (consumer + API, with enterprise as the big upside), plans for buybacks into a treasury, and an emissions burn condition if no model clears a defined improvement threshold. The discussion then focuses on the “Turing test” problem for voice agents—latency, filler words, interruptions, and overlapping speech—and Koyuki claims a new “style trajectory TTS” approach will make agents sound truly human soon. Siam offers a $5,000 wager that Vocence can produce a voice agent he can’t detect as AI by the end of the month, and Koyuki accepts, with some talk about testing via a phone-call scenario and adversarial off-script questions. They wrap by noting the prior Vocence slot issues/deregistration risk and arguing this time is different due to stronger leadership, a live product, faster shipping, and early traction.

In this episode, Bob from Subnet 48 (quantum compute) gives a grounded overview of quantum computing: huge long-term promise (materials, batteries, drug simulation), but today’s machines are still “NISQ” (noisy, intermediate-scale, not error-corrected at useful scale). Subnet 48’s pitch is essentially “Airbnb for quantum computers”—miners run real quantum workloads, users submit quantum circuits, and the network executes them cheaper than traditional access. Bob shows OpenQuantum.com as the front-end marketplace, listing multiple hardware providers (IonQ, Rigetti, IQM, AQT) with current machines in the ~20–50 qubit range, and explains that most jobs on OpenQuantum are being executed via Subnet 48.

The conversation then veers into the big scary question: quantum risk to crypto. Bob distinguishes SHA-256 (mining) from elliptic curve cryptography (ownership/signing) and argues the nearer-term threat isn’t quantum “mining Bitcoin faster,” but breaking signature security unless chains migrate to post-quantum schemes. He mentions industry roadmaps and research suggesting timelines could be tighter than people assume, and plugs Subnet 63 (Enigma)—a prize-driven subnet designed to incentivize public breakthroughs in cryptography rather than vague claims.