Binance: Users with at least 244 points are eligible to claim 197 UP airdrops.

Meet the recent "king of liquidations" — $ETH short 0xb15b! 9 days ago, this trader created wallet 0xb15b, deposited 1.25M $USDC, and started shorting $ETH. Since then, he's been liquidated 13 times, with a total of 18,080 $ETH ($43.9M) liquidated and $1.14M lost.

According to Lookonchain's monitoring, 9 hours ago, Bitcoin mining company MARA Holdings transferred another 1,000 BTC (worth approximately $80.66 million) to BitGo.

According to Reuters, a senior Iranian official stated that Qatar has not yet proposed a new plan to end hostilities with the United States.

US asset management firm Canary Capital filed an S-1 registration statement for the Canary PEPE ETF with the U.S. Securities and Exchange Commission (SEC) on April 8, 2026, and submitted an amended filing (S-1/A) on October 2. The fund plans to hold PEPE tokens directly, list on the Cboe BZX exchange, and use custodians including BitGo. This application is one of the moves by issuers to integrate meme coins into regulated products, following the approval of spot Bitcoin and Ethereum ETFs. The amended document clarifies details such as the trust structure, investment objective (providing PEPE price exposure net of operating fees), and issuance basket size. However, the SEC has not yet declared the registration statement effective or issued an approval decision. There is currently no fixed approval deadline; while the market expects further developments, the approval outcome remains uncertain. While news of the ETF application has repeatedly drawn market attention and driven PEPE price fluctuations at times, the product is still in regulatory review as of now. Investors cannot yet access PEPE spot exposure through traditional securities accounts and should continue monitoring subsequent SEC filing updates and final decisions. In a prior report, Justin Sun traded PEPE again after a two-year hiatus, with associated addresses currently holding a total of 11.8 trillion PEPE at an average entry price of $0.000004114.

Bitcoin mining company MARA Holdings (@MARA) transferred another 1,000 $BTC ($80.66M) to BitGo 9 hours ago.

Beating AI News Flash: DiffuSpace, founded by University of Hong Kong professor Lingpeng Kong, has released and open-sourced the Clover-35B-A3B-Preview model. Modified from Alibaba's Qwen3.6-35B-A3B, the model has 35 billion total parameters, with around 3 billion activated per inference. Traditional large models generate tokens sequentially left-to-right, while Clover uses block diffusion: it generates small text segments at a time, then completes output via parallel prediction and iterative refinement. The team also modified Gated DeltaNet to compress and store historical information, while enabling bidirectional interaction between tokens in the current text block, balancing generation speed and contextual understanding. In six official agent benchmarks, Clover scored the highest among all listed models. Its SWE-bench Verified score reached 73.6%, Terminal-Bench 2.1 hit 51.7%, outperforming the original Qwen3.6-35B-A3B, as well as diffusion models like LLaDA2.2 Flash and Mercury 2.5. However, the comparison list did not include Mercury 3, released on October 19. In terms of speed, Clover runs at 680 tokens per second on a single NVIDIA GB300 with BF16 precision and a single concurrent internal agent task. On H200, it hits 515 tokens per second, outperforming the same-scale Qwen model accelerated with DFlash2 (365 tokens per second). The team also deployed the INT4 quantized version to an RTX 5070 Ti with only 16GB of VRAM, achieving 101.8 tokens per second on the MATH-500 benchmark.