CME Plans to Launch BCH and UNI Futures on October 19

Beating AI Express News: NeoHorse-Jev-4B, an open-source decision-making model from Jiyuan Ludong (founded by Wang Yunhe, former head of Huawei’s Pangu large model), is built on the company’s NeoHorse-1-4B. Unlike standard large models that generate answers token-by-token, this model selects from multiple candidates, judges correctness, or assigns scores, primarily for agent tool selection, routing, and next-step action decisions. The developer aggregated results from six text benchmarks including JevBench, Kev, and OpenJev. NeoHorse-Jev-4B scored an equal-weight average of 77.70, outperforming the 9B-parameter Open-Jev (75.67) and Kev-4B (74.25). Note that the composite score was compiled by Jiyuan Ludong itself; currently only four open-source models have complete results across all six benchmarks, and NeoHorse-Jev only took top scores in two of them. Built on NeoHorse-1-4B, it uses prefill-only inference to directly calculate candidate answer probabilities, eliminating the token-by-token generation step common in standard LLMs. In tests with 1,158 text requests, the server recorded an average decision latency of 74.3ms at 32 concurrent connections, and a throughput of 347.05 requests per second at 256 concurrent connections. The model supports text and single-image inputs. Its weights, inference code, and deployment examples are all open-source, runnable via vLLM, SGLang, or local Runtime, and licensed under Apache 2.0.

According to on-chain data analyst Yu Jin Monitoring, a whale or institutional address transferred 541,000 HYPE tokens (valued at approximately $49.54 million) to Kraken 15 minutes ago. The tokens were withdrawn from Coinbase Prime half a month prior at an average price of $73.9 per unit. Transferred to Kraken at the current $91.5 per token price, the move is estimated to have generated a profit of $9.52 million.

Beating AI News reports that Google is preparing to launch the first test satellite for its "space AI data center" research project, Project Suncatcher, into low Earth orbit. The satellite will lift off aboard SpaceX’s Transporter-18 mission, marking the first time Tensor Processing Units (TPUs) are tested in a real space environment. Built in partnership with Planet, the satellite is roughly the size of a refrigerator and carries four TPUs. It is not a full-fledged space data center; its main purpose is to test whether the chips can withstand launch vibrations, space radiation, and extreme temperatures. A major challenge in space is heat dissipation, as there is no air for cooling—each TPU can only run continuously for about 15 minutes before needing to cool down. Project Suncatcher’s long-term goal is to deploy a large constellation of TPU-equipped satellites in space, connected via high-speed laser links to form a distributed AI data center. Google plans to launch two additional test satellites in 2027 to verify inter-satellite connectivity.

According to Lookonchain’s monitoring, a whale address bc1qln transferred out 4,500 BTC (approximately $381.38 million) after remaining dormant for over four years.

According to Lookonchain's monitoring, Metalpha withdrew 11,179 ETH (approximately $30.12 million) from Binance an hour ago.

Metalpha withdrew 11,179 $ETH($30.12M) from #Binance an hour ago.