MyToken data monitoring shows that on 【June 26th, 15:31】 (Beijing Time), 【Binance.DepositAndWithdraw_1】 transferred 【500000000 USDT】 to an address starting with 【0xdac1】, with a total value of approximately 【499.37 million】. Real time monitoring of large transfers：https://www.mytokencap.com/large-transfers/

According to Bijie.com, Li Jiwei's team has open-sourced the Ornith-1.0 model, released under the MIT license. This model is trained on Gemma 4 and Qwen 3.5 and covers both dense and hybrid expert (MoE) architectures. In the Terminal-bench 2.1 test, Ornith-1.0-397B MoE achieved a score of 78.2, surpassing Claude Opus 4.7's 69.7. This model uses joint reinforcement learning to generate scaffolding to prevent cheating. Evaluations show that the 35B hybrid expert model Ornith-1.0-35B MoE achieved a score of 62.8, surpassing Qwen 3.5-397B (48.6) and Qwen 3.6-35B (49.2). The Ornith-1.0-9B Dense model achieved a score of 69.4 in the SWE-bench test, surpassing Gemma 4-31B (52.0).

According to Bijie.com, Luo Longxin, Standing Committee Member of the Yantian District Committee of Shenzhen and Deputy District Mayor, stated at the 17th Listed Company Investor Relations Management Forum that the current wave of scientific and technological innovation is reshaping industrial value in sectors such as artificial intelligence, semiconductors, and computing power. Yantian District is fully committed to cultivating these emerging industries, planning and constructing intelligent industrial parks, and continuously expanding its science and technology innovation cluster. He emphasized that listed companies are the cornerstone of the capital market, and investors are the lifeblood. Yantian District will fully support local enterprises in focusing on their core businesses, operating in compliance with regulations, and leveraging the capital market to achieve rapid development.

According to CoinWorld, Italian AI startup Domyn announced plans to release a fully open-source, reproducible large-scale model with over 400 billion parameters within a year. This project, driven by the Europa consortium formed by Domyn and the Fraunhofer Society in Germany, has been selected for the European Commission's Advanced AI Challenges project and has received computing power support from the European public supercomputing network EuroHPC. This initiative aims to promote localized alternatives. Domyn CEO Uljan Sharka pointed out that training a cutting-edge large-scale model from scratch for hundreds of millions of users requires significantly less computing power, and the European public computing network can already meet research and development needs. The project has received support from Abu Dhabi's G42, Eurizon Capital, Rabobank, and BNY Mellon.