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first_img Palantir executives say AI researchers have started smoking, betting that AI will cure cancer

Palantir's Chief Technology Officer Shyam Sankar stated in an interview on CBS News' "Face the Nation" that many AI researchers have started smoking to demonstrate their confidence in AI to other researchers. He quoted the attitude of such researchers saying, "I truly believe in AI; it will cure cancer, so I’m showing you that I’m all in." Sankar did not name any specific researcher nor cite survey data; this statement was made in passing when host Margaret Brennan pressed him on why he was so focused on the topic.In the interview, Sankar referred to effective altruism as a "millennial-style doomsday cult" and mentioned FTX founder Sam Bankman-Fried as the most well-known representative of the movement. He also cited Pascal's idea that everyone has a "God-shaped hole" in their heart, claiming that some researchers are trying to fill this hole with a machine god called AGI.Medical data contrasts with this claim. The U.S. CDC states that smoking causes about one-third of cancer deaths in the U.S., and cigarette smoke contains at least 69 known carcinogenic chemicals, with smokers being about 25 times more likely to develop lung cancer than non-smokers. Anthropic CEO Dario Amodei stated in August that the promise of AI curing cancer is "more of a cliché than inspiring," and that only a true cure for cancer can win public trust. CBS polling shows that 50% of Americans believe the problems created by AI outweigh the problems it solves, and 45% want the government to limit the use and development of AI.

first_img CFTC investigates Adam Kinzinger betting on his own pardon at Kalshi

According to Politico, citing three informed sources, the U.S. Commodity Futures Trading Commission (CFTC) is investigating former Illinois Republican Congressman Adam Kinzinger, related to his trading on the prediction market platform Kalshi. The relevant trades occurred between December 2024 and January 2025, completed through a Kalshi account associated with Kinzinger. He confirmed to the media that he had placed bets on contracts regarding whether he would receive a presidential pardon, while also betting on another contract about whether Biden would issue preemptive pardons before leaving office.In the final moments before Biden left office in January 2025, he issued preemptive pardons to Kinzinger and other members of the House Select Committee investigating the Capitol riot. Screenshots provided by Kinzinger show that he made a profit of $823 from approximately 25 trades, most of which were losses. He denied any wrongdoing, stating that he had been out of office for two years at the time of the bets, was neither a congressman nor a candidate, and had "no insider information." He also stated that he had read Kalshi's rules in advance and understood that they prohibit users from trading contracts directly related to their own interests. Kalshi prohibits users from betting on contracts in which they are direct participants, and the CFTC also prohibits the use of significant non-public information in its regulated markets.Kalshi had previously handled similar cases, suspending three congressional candidates in April for betting on their own campaigns, and freezing former Congressman George Santos's account, which was referred to the CFTC and the Department of Justice, leading to a lifetime ban at the end of August.

Tether released a dataset of 191.4 billion Token STEM, betting on the "explanatory ability" of local small models

The stablecoin giant Tether's Tether AI Research today released QVAC Genesis III, a synthetic training dataset aimed at the fields of science, technology, engineering, and mathematics, with a scale of 19.143 billion tokens, covering 159.6 million documents.It is reported that Tether hopes to enhance the reasoning and teaching capabilities of small AI models, allowing more AI assistants to run directly on laptops, mobile phones, and local servers, reducing the ongoing reliance on large cloud models.Genesis III continues the data lineage of Genesis I and Genesis II, covering 19 curriculum-related fields including biology, chemistry, physics, mathematics, computer science, medicine, electrical engineering, and machine learning, aimed at high school, university, and professional applications. Tether states that the dataset will focus on training models to explain problem-solving paths, identify erroneous reasoning, and provide corrections, rather than just outputting final answers.According to Tether's disclosed test results, a 1.7 billion parameter model trained with Genesis III option-level data achieved an effective answer rate of 99.45% in relevant benchmark tests. Compared to the Cosmopedia-v2 training model of similar token scale, Genesis III improved scores on the ARC-Easy, ARC-Challenge, and MMLU STEM benchmarks by 28.57, 21.35, and 15.03 percentage points, respectively.

first_img Analysis: Cryptocurrency market makers profit from basis trading during the Bitcoin rebound, rather than betting on direction

According to CoinDesk, as Bitcoin surged from about $62,000 to over $77,000 last week, liquidating approximately $3 billion in leveraged short positions, major crypto market makers such as Abraxas Capital, Fasanara Capital, and Wintermute quietly established short positions in perpetual contracts worth hundreds of millions of dollars on Hyperliquid.Lookonchain data shows that the three institutions collectively hold short positions of 138,569 ETH (approximately $338 million) and 3,425 BTC (approximately $265 million); meanwhile, Abraxas Capital withdrew 73,872 ETH (approximately $173 million) from Binance in the past four days.This strategy is known as cash arbitrage or basis trading: traders hold spot positions while shorting an equivalent amount of assets through perpetual contracts to hedge against price volatility risks, primarily earning the funding rates paid by longs to shorts. In previous months, funding rates were long suppressed or even turned negative, but this month's rebound has quickly turned funding rates positive, reopening the arbitrage window. Aegis data shows that the 30-day average funding rate for Bitcoin perpetual contracts on August 24 reached an annualized 6.7%, with a 7-day average of 8.7%; 21shares capital markets noted that basis trading for mainstream assets like Solana is also becoming lucrative.This trading has extended to regulated markets: Glassnode data shows that CME Bitcoin futures open interest has risen from about 87,000 BTC to 122,000 BTC.
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