Gate News message, according to Gate’s official announcement Gate has delisted the trading markets of 29 tokens, including POWERLOOM, ZAP, NVIR, PBX, MNRY, HAT, EARNM, VICE, FST, LBLOCK, ELIX, ELIZA, GET, VIA, SGC, SKAI, 1, GPT, DPET, EQ, EMPIRE, ELDE, CNNS, MYTH, HARD, TROY, MICHI, OVPP, and ROOST. After the platform re-evaluated these tokens again, they do not meet the standards for enabling trading. For users who have submitted forms and meet the requirements, Gate has credited the repurchase amount to their accounts. After delisting, users can still continue to use the Gate wallet to store assets. The specific delisting time and operational details for the related wallet functions will be notified separately.

Gate News: According to Gate’s official announcement, Gate has delisted the trading markets for 29 tokens, including POWERLOOM, ZAP, NVIR, PBX, MNRY, HAT, EARNM, VICE, FST, LBLOCK, ELIX, ELIZA, GET, VIA, SGC, SKAI, 1, GPT, DPET, EQ, EMPIRE, ELDE, CNNS, MYTH, HARD, TROY, MICHI, OVPP, ROOST, etc. After assessment, the above tokens do not meet the standards for enabling trading. Gate has conducted a buyback for users holding these tokens; for users who meet the requirements, the buyback amount has been deposited into their Gate accounts. After delisting, users can still continue using Gate as a wallet to store assets for the aforementioned coins. The specific delisting time for wallet functionality and the operational details will be notified separately through an official announcement.

Microsoft announced new features for Copilot Researcher called Critique and Council, combining OpenAI's GPT and Anthropic's Claude to improve the quality of research tasks. Out of 100 complex tasks, the Critique mode scored 57.4, significantly ahead of other models.

The open-source vector database Chroma has released Context-1, a 20 billion parameter search model for multi-turn retrieval. This model utilizes self-editing context technology, trained on multiple tasks through reinforcement learning and a curriculum mechanism, demonstrating outstanding performance, particularly in the fields of web, finance, and law, and also showcasing cross-domain search capabilities in the email sector.

# Article Source: Axis Axis Robotics is restructuring data diversity and scaled production methods for embodied AI through a simulation-first strategy. In 2025, multiple technological pathways in the robotics industry are rapidly converging: the commoditization upgrade of embodied hardware supply chains has made it possible for expensive prototypes to achieve scaled deployment for the first time; Vision-Language-Action (VLA) models bring robots the "brain" for semantic understanding, reasoning, and planning; and the multi-layered data pyramid composed of video priors to simulation synthesis continues to supply steady fuel for the continuous evolution of embodied AI. However, the industry still faces one critical bottleneck: data. Compared to large language models and autonomous driving, embodied AI still faces a massive data

OpenClaw released a new version on March 22, introducing the ClawHub plugin marketplace, support for MiniMax M2.7, GPT-5.4-mini, and GPT-5.4-nano models, and the launch of a single-agent inference feature. It also integrates OpenShell and SSH sandbox environments, along with access to multiple search tools.

Cursor released Composer 2, its third-generation programming model, on March 20th, with pricing significantly reduced to $0.50 per million input tokens and $2.50 per million output tokens, while also launching a faster version. Composer 2 outperforms its predecessor on multiple benchmarks but falls short of GPT-5.4, with improvements primarily stemming from continued pre-training and reinforcement learning of the base model. The model is exclusively available for internal use within Cursor, and its parent company Anysphere has a valuation of $29.3 billion.

OpenAI released new models GPT-5.4 mini and GPT-5.4 nano on March 18, targeting multimodal and programming scenarios with significantly higher pricing. GPT-5.4 mini demonstrates superior performance on coding benchmarks, supports large-scale context and multifunctional operations. Additionally, ChatGPT free users will also experience new reasoning capabilities.

Rakuten Group launched Rakuten AI 3.0, a Japanese-specialized large language model, on March 17, claiming to surpass GPT-4o on multiple Japanese language tests. However, netizens discovered that the model may be based on DeepSeek development and raised questions about its pro-China stance and the authenticity of its independently developed technology, sparking discussions.

Rakuten Group announced the release of Rakuten AI 3.0 on March 17, a high-performance AI model with 671 billion parameters optimized for Japanese. The company claims that it outperforms GPT-4o on multiple benchmark tests. The model is freely open-sourced under the Apache 2.0 license, fine-tuned based on the DeepSeek V3 model, and received training computational support from the Japanese government.