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Kaito, Polymarket have launched the first “verifiable mindshare markets"

Kaito, Polymarket have launched the first “verifiable mindshare markets"

The post Kaito, Polymarket have launched the first “verifiable mindshare markets" appeared on BitcoinEthereumNews.com. Kaito, the Web3 information platform that specializes in indexing hard-to-reach crypto data, has launched what it describes as the first “verifiable mindshare markets” on Polymarket, opening a new category of prediction markets built on AI-derived sentiment, popularity, and social media chatter.  The partnership also highlights the work of two other partners of Kaito, with the three of them working at the intersection of AI, cryptography, and decentralized markets: Kaito for data and inference, Brevis for zero-knowledge verification, and EigenCloud for auditable AI compute. Polymarket opens a new category of markets Kaito announced the collaboration on X, stating that “This is the start of a new category – where anyone, anywhere can predict mindshare, sentiment, and popularity for anything.”  The Kaito-Polymarket product is designed to be verifiable at every stage, which is quite different from traditional sentiment indices or social-media-driven indicators, which rely on opaque algorithms. Kaito wrote “transforming AI from opaque to a verifiable system is a challenging task,” and to solve that challenge, it partnered with EigenCloud using its EigenAI product, which enables it to turn “what used to be an opaque model into verifiable compute that anyone can audit before Polymarket settles payouts.” EigenCloud wrote on X, that “AI creates the markets, EigenCloud makes the AI verifiable, and Polymarket brings it to the world,” and went further to describe the launch as “the beginning of verifiable markets.” Proprietary algorithms will be auditable The second leg of the technical system comes from Brevis, a zero-knowledge proving service that allows Kaito to keep its proprietary scoring algorithms private while still enabling users to verify that the calculations were performed correctly. Pointing out the challenge it solves for Kaito and how it ties into the Polymaket, Brevis wrote on X, “prediction markets only work if participants trust the data feeding them.…
Kristin Pulled The Trigger: A ‘Dallas’ TV Flashback

Kristin Pulled The Trigger: A ‘Dallas’ TV Flashback

The post Kristin Pulled The Trigger: A ‘Dallas’ TV Flashback appeared on BitcoinEthereumNews.com. LOS ANGELES – NOVEMBER 15: CBS Television advertisement as appeared in the November 15, 1980 issue of TV Guide magazine. An ad for the drama DALLAS. The Who Shot J.R.? revelation in the episode “Who Done It?” which aired on CBS, Friday, November 21, 1980. DALLAS features Larry Hagman as J.R. Ewing. The CBS fall campaign features the slogan, Looking Good Together (Photo by CBS via Getty Images) CBS via Getty Images It remains the greatest cliffhanger in television history. Forty-five years ago today, in 1980, the world finally learned that Mary Crosby’s bratty Kristin Shepard was the one who pulled the trigger and shot Larry Hagman’s irresistibly devious J.R. Ewing on the CBS smash hit Dallas. And don’t worry — Kristin didn’t get away with it for long. In the 1981 season-four finale, J.R.’s longtime rival Cliff Barnes (Ken Kercheval) discovered her body floating in the Ewing swimming pool. Karma, as they say, can be a real bitch. Suspects Galore As a diehard Dallas fan who recently revisited the entire series, I secretly hoped the trigger finger might belong to Sue Ellen’s (Linda Gray) creepy therapist, Dr. Simon Ellby, who I assumed was secretly obsessed with J.R.’s long-suffering wife. The list of suspects was staggering — from Cliff and Bobby to Pam, Lucy, Ray, “Dusty” Farlow, Alan Beam, Vaughn Leland, and Miss Ellie or Jock. Heck – even Gary or Val could have popped in from spinoff Knots Landing with a gun! In a scene from ‘Dallas,’ cast member gather in a hospital to hear the fate of recently shot character J.R. Ewing in an episode called ‘No More Mr. Nice Guy,’ June 1980. From left, Mary Crosby (as Kristin Shepard), Linda Gray (as Sue Ellen Ewing), Ken Kercheval (standing at rear) (as Cliff Barnes), Peter Donat (as Dr.…
Arthur Hayes Says The Bottom Is Near As Bitcoin Crashes To Six-Month Low

Arthur Hayes Says The Bottom Is Near As Bitcoin Crashes To Six-Month Low

The post Arthur Hayes Says The Bottom Is Near As Bitcoin Crashes To Six-Month Low appeared on BitcoinEthereumNews.com. Bitcoin plunged to a six-month low on Friday after a sharp two-month decline pushed the price under $82,000. The fall marked a steep pullback from the late-October peak near $126,000. BitMEX co-founder has commented on the crash, suggesting that a bottom might be near.  Arthur Hayes Provides Optimism Amid Bitcoin Crash In an X post, Arthur Hayes declared that the bottom for BTC is near. However, he advised market participants to be patient before going all in, noting they should wait for U.S. stocks to correct as well.  He further indicated that more money printing will spark the next wave of liquidity for Bitcoin, but that AI tech stocks need to crater for that to happen. Notably, the BitMEX co-founder recently attributed the BTC crash to a decline in USD liquidity.   Source: X He made that statement while BTC was still trading at around $90,000 and had rightly predicted that the flagship crypto could still drop to the $80,000 to $85,000 range before a potential rebound. However, he also mentioned back then that BTC could still rally to $200,000 by year-end. The Bitcoin price dropped below $82,000 today, just in line with Hayes’ prediction. Now, it remains to be seen whether this marks the bottom for the flagship crypto, as he has predicted, with the crypto also eyeing the $200,000 target by year-end. Historical Patterns Echo as Bitcoin Repeats Cycle Corrections The latest sharp sell-off deepened as forced unwinding rippled through trading platforms. In a recent X post, Raoul Pal highlighted that the current phase is a hard one due to rapid exits from positions and concerns about pressure on some market makers. The crowded nature of the market’s move now bears similarities to 2021, when huge assets posted steep losses before surging into new highs. The speed and…