AI Industry Development & Policy Dynamics

Gate News message: During the 17th plenary session of the China Artificial Intelligence Industry Development Alliance on April 10, the Security Governance Committee of the China Artificial Intelligence Industry Development Alliance officially released the 《OpenClaw Class Intelligent Agent Deployment Risk Management Guidelines》. The guidelines focus on enterprises’ pain points in risk prevention and control during the process of technical implementation, and propose an overall security deployment framework and self-check standards covering the entire lifecycle from deployment, to use, to decommissioning. It aims to help intelligent agents move from “able to deploy” to “secure deployment, standardized use, and ongoing governance,” providing practical guidance for enterprises to carry out technical deployments in a compliant and standardized manner.

Security research reveals that in the LLM agent ecosystem, over 20% of free API routers actively inject malicious code, leading to asset theft and credential crises. In addition, the Claude code-leak incident has enabled attackers to spread malware by exploiting developers’ curiosity. The research team proposes a three-layer defense mechanism to address supply-chain security risks.

Cardano's founder, Charles Hoskinson, highlights the synergy between AI and blockchain, announcing an AI bot for content creation. Cardano's developer group shifts focus to growth, halting Acropolis development to prioritize chain abstraction, while addressing performance issues in their upcoming hard fork upgrade.

Solayer’s founder exposes a security vulnerability in large language model (LLM) routers; in 428 routers, more than 20% exhibit malicious behavior, such as private keys being stolen. The research recommends that developers implement a separate end-to-end integrity verification mechanism on the client side and provides three defense options to mitigate supply-chain attacks.

Anthropic has launched Claude Managed Agents, providing a fully managed AI agent development platform that streamlines enterprise automation workflows and claims it can accelerate product production by 10x. The platform includes a security-focused infrastructure, supports long-running execution and multi-agent coordination, and enables developers to focus more on core business activities. Notion has already been an early adopter of this service, improving work efficiency and signaling that competition in the enterprise AI market is intensifying.

As of March 2026, Alibaba Cloud’s Qwen series models account for more than 50% of global open-source model downloads, with a cumulative total of 942.1 million times. Their smaller-parameter versions are widely favored by developers. With the release of Qwen 2.5 and 3.5, Chinese models have gradually begun to surpass their U.S. counterparts, and the open-source strategy has become a key factor in the AI competition between China and the U.S.

SK Telecom, Arm, and Rebellions sign a trilateral memorandum of understanding to jointly develop AI data center inference server solutions, combining Arm’s AGI CPU and the RebelCard chip to optimize high-density inference and large-scale AI deployments.

Coinbase's developer platform upgrades the x402 protocol, launching the “Upto” plan and enabling a variable pricing mechanism that replaces the previous fixed-fee model to support large language model (LLM) inference and related computing services. This plan is intended to address the issue where users can’t predict costs because they pay fixed fees, with the final amount paid not exceeding the user-set cap. The x402 protocol has been taken over by the Linux Foundation, but transaction volume has continued to decline after the 2025 peak, and it remains to be seen whether the Upto upgrade can boost network activity.

Solayer’s founder reveals safety risks of large language models, pointing out that LLM agents relying on third-party API routers face a risk of being attacked by malicious code. Testing shows that multiple routers have security vulnerabilities, and can even leak sensitive credentials. In addition, research demonstrates feasible attack methods and defense measures.

Gate News message, on April 10, according to Gate market data, as of the time of publication, TAO (Bittensor) is trading at $269.80, down 16.28% over the past 24 hours. It reached a high of $341.10 and fell to a low of $248.60. The 24-hour trading volume is $14.71 million. The current market cap is approximately $2.59B. Bittensor is an open-source protocol that supports a decentralized, blockchain-based machine learning network. Machine learning models train collaboratively and earn rewards in TAO based on the value of the information they provide to the collective. TAO also enables external access, allowing users to extract information from the network and adjust network activity according to their own needs. --- Key recent news about TAO: 1️⃣ **

Google has introduced a “Notebooks” feature in the Gemini app, letting users centrally manage chat history and files and sync with NotebookLM to improve workflow efficiency. Currently, it’s only available to subscribers; free users will need to wait. This feature makes it easier for users to organize and use their data, and signals that more updates are coming in the future.

xAI, owned by Musk, filed a lawsuit in Colorado seeking to block SB 24-205 from taking effect. The bill is designed to prevent AI systems from producing algorithmic discrimination. xAI alleges that the law infringes on freedom of speech, requires it to adjust its information output based on specific political stances, and points out logical contradictions within the bill. This is xAI’s second legal action on AI regulatory issues, and it could affect the development of the AI regulatory landscape across the United States.

Bittensor co-founder Jacob Steeves responded to Covenant AI’s exit from the network, proposing to restart the subnet governance mechanism and bring in community votes to elect the team. He believes this is an opportunity to redefine the subnet’s form and criticized Covenant AI’s founder’s decision-making.

Alibaba confirms it has launched its own video generation model, HappyHorse-1.0, developed by the AI innovation division of Taotian Group. HappyHorse-1.0 performed exceptionally well in third-party evaluations. It has not yet been open-sourced and is consistent with Alibaba’s recent closed-source strategy. The release of the model is intended to respond to competitors’ market performance and strengthen its competitiveness in the MaaS market.

Anthropic announced on April 9 that Claude Cowork is officially available for all paid plans, and it added management features for enterprise users, including role-based access controls, group spending limits, and usage analytics dashboards. This product can be used in macOS and Windows desktop applications. Focused on enterprise needs, Anthropic continues to expand its AI product line, from developer-focused tools to team and enterprise-grade application technology.

Andrej Karpathy said that the public’s understanding of AI capabilities has developed a split, divided into two groups: ordinary users using the free version of ChatGPT and professional technical people using advanced models on a paid basis. He believes that the two are discussing entirely different products and emphasizes that progress in the technical field is significant because of verifiable reward functions and incentives driven by commercial value.

Anthropic launched the “Advisor strategy” on April 9, pairing Opus as an advisor with Sonnet or Haiku to run tasks, lowering costs and improving performance through the Messages API. The strategy separates reasoning and execution, allowing executors to consult Opus when they encounter obstacles, achieving higher intelligence in a single API request. Evaluations show that Sonnet paired with Opus improves performance by 2.7%, and reduces task costs by 11.9%. This strategy gives developers a better cost-performance option and has been met with strong enthusiasm from the community.

Gate News update: On April 10, Uniswap founder Hayden Adams posted on a social platform today, asking whether there are any Anthropic (an AI technology company) related resources for coordination, and said he hopes to test Mythos on Uniswap.