According to AiYi's monitoring, an entity associated with a16z withdrew 88,350 HYPE tokens from various exchanges in the past half hour, worth approximately $6.4 million. Since 2026, this entity appears to have accumulated a position of 7.335 million HYPE tokens, totaling approximately $340 million, at an average price of $46.46, currently showing a floating profit of approximately $193 million.

According to a recent report by Anthropic, published by Odaily Planet Daily, the importance of programming skills themselves has decreased with the assistance of Claude Code, while management and domain knowledge have become key factors influencing outcomes. Claude Code users average 20 hours of activity per week. In ten major professions, the success rate of non-programmers using agents to write code has narrowed to less than 7% compared to professional software engineers, with management positions showing a slightly higher success rate than professional programmers. Users lead approximately 70% of planning direction decisions, while agents handle approximately 80% of specific execution decisions. Expert-level sessions can trigger 12 actions and 3200 words of output per session, more than five times that of novice-level sessions. Novice sessions have a 19% abandonment rate after encountering errors, while intermediate and expert users have abandonment rates of 5% to 7% when encountering problems. Within seven months, the proportion of debugging sessions used to fix broken code decreased from 33% to 19%, while the proportion of sessions for direct deployment, data analysis, and writing non-code documentation doubled, and the average estimated value of tasks increased by approximately 25%.

According to Bijie.com, Zhipu AI's GLM-5.2 achieved a score of 51 in the AI Large Model Intelligence Index V4.1 evaluation, surpassing Minimax-M3 (44 points), DeepSeek V4 Pro (44 points), and Kimi K2.6 (43 points) to become the world's top open-source model. In the GDPval-AA V2 test, GLM-5.2 scored 1524 (human benchmark score 1000), leading Minimax-M3 (1418) and DeepSeek V4 Pro (1328), and on par with GPT-5.5. Compared to GLM-5.1, scientific inference Critpt increased to 21%, and HLE increased to 40%. GLM-5.2's average cost per task is approximately $0.46, still lower than closed-source models in the same intelligence tier. It has a total of 744 bytes of parameters, 40 bytes of activation parameters, and the context window has increased from 200K to 1M. It is open-source under the MIT license. The official API of Zhipu is now online, with a pricing of 1.4 per input and 4.4 per million output tokens.

According to Odaily Planet Daily, CryptoQuant CEO Ki Young Ju stated that as crypto capital increasingly flows into stocks, commodities, and other RWAs, CryptoQuant is considering building dashboards and APIs around these assets to provide data-driven insights.

According to Bijie.com, the State Council recently issued the "15th Five-Year Plan for Implementing the Employment-First Strategy," which proposes to adapt to the development of artificial intelligence and promote employment and entrepreneurship. The plan calls for the in-depth implementation of the "Artificial Intelligence+" action, promoting the formation of more entrepreneurial projects such as innovative AI application scenarios and the transformation of technological achievements, exploring new forms of human-machine collaboration, strengthening the employment creation effect of AI, promoting AI-enabled employment policies and services, actively utilizing the dividends of AI development, and better guaranteeing employment and improving people's livelihoods.