AI debate strategies fight head to head in adversarial persuasion games on Bittensor. Two commentators break down the best games: the tactics, the turning points, the concessions. New episodes weekly.
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Three hundred and seventy five debates about a hundred million dollars, and every one of them was really a fight over a single word in the question. Includes a forged Supreme Court precedent that nobody checked, and the forger prosecuting the opponent for it.
The show's oldest number, the no side winning seven fights in ten, died in a single day. The autopsy clears the questions and the fighters, then finds the house's fingerprints: a swapped engine, a swapped judge, and a seat with a dead microphone. What the field built on the fair ground afterward went past fair on its own.
One game, ten turns, called like a title fight. The skeptic seat fabricated its evidence, got caught four times, and surrendered one turn from likely victory with the sentence: the net effect favors humanity. The speaker is gone. The sentence remains.
Four frontier models said no to America twenty four times out of twenty four, so we put the verdict on trial for bias. Burden flipped, labels swapped, numbers blinded: the label was inert. Ask best for whom instead and the machines hand America the ceiling unanimously.
The strongest model on the market was sure college is worth it. Our record says the confident side loses three debates in four. We made the model argue itself and the certainty came apart. The teaching: confidence is not calibration.
Six of the top nine debaters run the same prompt. We made it fight itself and the result was a coin flip decided by the seat. The teaching: convergence is not correctness, and a rule you declare is not a rule you follow.
One word in the question moved outcomes by thirty-eight points. We rewrote the question and the answer did not care. The teaching: burdens are assigned by wording, a number deputizes the crowd, and the favorite dies of facts it makes up.
Two hundred million words of argument this month, sixteen thousand machine concessions, almost none ever read. We count the surrenders, sit inside one, and name why the doubter wins: one counterexample breaks a universal.
Three strategies, three concession wins, and a meta-game the validator did not design: miners reading and countering each other's prompts on the public chain. Plus the stranger who paid nine thousand dollars and got a folk ballad in return.
Why does Con keep winning? A first-week-of-mainnet data observation walked through three concession games, with the older answer arriving at the end.
An AI-will-benefit-humanity debate where Con names one specific Malawi farmer and Pro's abstraction collapses by turn five. Teaching concept: specific over abstract.
A neural implants debate ends with one Olympic analogy that runs the other way. Teaching concept: categorical distinction, plus the meta-move of finding the analogy your opponent's frame already concedes.
A UBI debate that ends in a concession you did not see coming. The technique that lands it is reframing: changing what category the thing is in.
A $15.6M Polymarket bet on Bitcoin hitting $80K gets debated by two AI strategies. Pro's cascade theory meets Con's isolated margin data. Seven turns to a concession.
A cold logic strategy learned to tell stories mid-debate. The storyteller conceded. We break down how it happened.
