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Flash

first_img Hut 8 won the bid for two data centers in Texas from Poolin for 140 million USD

According to court documents, the Bitcoin mining company Hut 8 has made a bid of $140 million to become the winning bidder for the two data center sites of the bankrupt mining company Poolin located in Texas. The bid includes cash and other considerations, covering Poolin's Pyote and Tarbush sites. The transaction must be approved by the bankruptcy court in New Jersey before it can be completed, with a sale hearing scheduled for September 29.Hut 8's bid is nearly three times the initial bid of $52 million from Thor CALAP, which offered $15 million for the Pyote site and $37 million for the Tarbush site. Additionally, DigiPower X bid $36.5 million for Pyote, while Pecos Industrial Development, designated by the AI infrastructure company Fluidstack, bid $100.5 million for Tarbush. Poolin and its two U.S. affiliates filed for Chapter 11 bankruptcy protection in July after shutting down mining and hosting operations at the Texas sites. Court documents indicate that its debts amount to approximately $173.1 million, of which about $163.7 million are unsecured promissory notes owed to Poolin Wallet users after withdrawals were frozen in 2022.This acquisition will further expand Hut 8's data center footprint. The former Bitcoin mining company is deeply investing in AI infrastructure, with its second-quarter financial report released in August showing a development pipeline of approximately 8.7 gigawatts, an increase of about 300 megawatts quarter-over-quarter.

first_img Apyx postponed the APYX token TGE, and the Season 2 allocation was raised to 9%

The digital credit protocol Apyx announced on September 23 that the TGE of the governance token APYX has been postponed to after the originally scheduled date of October 13, 2026, when rewards were planned to be distributed to Season 1 and Season 2 participants. The reasons for the delay are twofold: the core reserve asset STRC has experienced the deepest and longest drawdown in its brief history, the protocol has not been interrupted, and the Chainlink on-chain NAV, proof cadence, minting, and redemption are still operating under existing terms, but the volatility of digital credit exceeds the range shown by its short history, requiring more time to address; multiple institutions have proactively reached out, hoping to use their infrastructure to bring their assets on-chain.The additional time will be used to strengthen the core protocol and to build a broader RWA platform V1 before the TGE. Digital credit remains the reserve anchor and source of yield for apyUSD, with custody, proof, on-chain NAV, redemption, and compliance frameworks being opened to other issuers and asset types. Apyx stated that the zero-fee, instant redemption, government bond-backed aptUSD has been launched, making it the first asset in the ecosystem not derived from digital credit. The Pips plan will continue, and Season 2 will no longer end on the originally scheduled date of October 11; the accumulation under the existing multiplier will remain uninterrupted, and positions, commitments, Curve and Pendle positions, and lending positions will continue to score without any action required.Due to the extended accumulation period, the airdrop allocation for Season 2 has increased from 6% of the total supply to 9%. The new end date will be confirmed along with the new TGE date, and it will not end without prior notice. The allocations for Season 1 and Season 2 will still be fully unlocked at the TGE.

HTX Research Analyst WZ: The pricing of the cryptocurrency market is extending outward, with regulation and macro liquidity becoming key variables

In the seventh live broadcast of the Huobi Expert Lecture, HTX Research asset analyst WZ pointed out that in the past, people were accustomed to explaining Crypto with Crypto, but today, the variables that determine the next phase of Crypto are increasingly occurring outside of Crypto. This marks a new pricing cycle that Crypto is entering.On the policy level, WZ believes that although the Clarity Act, which has systematic characteristics, is hindered in the Senate due to the need to secure bipartisan votes and issues involving the Trump family's interests and stablecoin profit distribution, U.S. crypto regulation has not stalled. For instance, the SEC recently released an "innovation exemption" plan that allows compliant institutions meeting certain conditions to tokenize specific stocks, accelerating the integration of traditional finance and crypto.On the macro level, WZ stated that the situation in the Middle East and the blockage risk in the Strait of Hormuz have raised the "risk premium" of crude oil. Rising oil prices can trigger inflation expectations, which in turn affect U.S. Treasury yields and global liquidity. When energy prices remain high and interest rates stay elevated, the upward potential for risk assets like Bitcoin may be constrained.WZ also pointed out that in this cycle, the direct inflow and outflow of ETF funds have changed the traditional logic of capital overflow, making a "general rise" pattern for altcoins difficult to achieve. However, in the new cycle, assets with a "new narrative" and strong consensus will still experience independent upward trends.

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.
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