AI Industry Development & Policy Dynamics

Writer Liu Xuan said in an interview that due to the rise of artificial intelligence, the traditional education system no longer meets the needs. He believes the necessity of a university education is decreasing; in the future, talent competition will shift toward the ability to apply interdisciplinary specific knowledge and set defined goals, and he emphasizes the importance of social experience. Parents, meanwhile, should become their children’s “coach,” guiding them to explore themselves and adapt to change.

In brief Nunchuk released two open-source tools designed to let AI agents interact with Bitcoin wallets under strict limits. The system uses shared wallets and approval policies so agents cannot spend funds beyond defined rules. The tools aim to support automated financial tasks while

In 2026, a new consensus emerged in the AI industry: what determines whether an AI product is good or bad is no longer the model itself, but the layer around the model called “harness.” As the underlying models used by Claude Code, Cursor, and OpenClaw grow increasingly similar, what truly creates a product gap is the design of the harness. Martin Fowler’s technical blog, Anthropic product lead trq212, and Andrej Karpathy’s recent remarks all point in the same direction: the next battleground for AI is

SiFive announces the completion of a $400 million funding round, with a valuation of $3.65 billion. As demand for AI systems rises, the importance of CPUs in data centers is returning to the forefront. As an open architecture, RISC-V provides more efficient customization options; to date, SiFive has been adopted by more than 500 designs. Despite challenges in the software ecosystem, SiFive is confident about the future.

Anthropic has launched Claude Managed Agents, an end-to-end managed AI agent development platform that streamlines enterprise automation workflows and claims it can speed up product output by 10x. The platform includes a security-first infrastructure, supports long-running execution and multi-agent coordination, and helps developers focus more on core business needs. Notion has already been an early adopter of this service, improving workplace efficiency and signaling intensifying competition in the enterprise AI market.

As of April 10, 2026, World’s official announcement states that the total supply of WLD is 10 billion units, of which 49% has been unlocked. Since its launch in 2023, the unlocking mechanism has enabled the gradual release of tokens; starting in 2026, the unlocking rate will decrease, resulting in an overall drop of 43%.

Meta Platforms has signed a $21 billion AI infrastructure deal with CoreWeave, extending their agreement to December 2032. This reflects growing AI demand, particularly for inference workloads. The move boosts CoreWeave's market position while addressing its financial challenges.

Gate News, on April 10, a source said that OpenAI will be brought under the jurisdiction of the EU’s Digital Services Act (DSA) and classified as a very large online search engine. This means OpenAI will need to comply with stricter regulatory requirements under the DSA for large platforms.

After Anthropic’s Claude Code feature was just released on 4/8, the 4/9 update unexpectedly removed it, leaving the developer community severely disappointed. The original electronic pet Buddy sparked a lot of discussion due to leaked source code, but it disappeared within just a day, causing a strong backlash across the community—some people even chose to downgrade and keep an older version. Developers feel betrayed by this and are worried about the future return of the functionality.

Meta is shifting its focus of resources to generative AI, and Zuckerberg is personally using AI tools to write code, showing how much he values development. However, the performance pressure triggered internally by a competition for token consumption could lead to wasted resources and performative behavior. Meta hopes to avoid the failure lessons of the past metaverse era in the AI space, seeking real-world applications and commercial value.

The white paper jointly released by Gate Research Institute and Global HR states that by Q1 2026, the crypto industry will face job shifts driven by AI transformation, and cross-functional talent will become a core competitive advantage. The industry is mainly divided into four areas: exchanges, public chains and infrastructure, DeFi and derivatives, and stablecoins, with technology research and development needs being the most prominent.

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

Anthropic and CoreWeave have reached a multi-year agreement to rent its data center capacity to support growing demand for AI services. The deal will help Anthropic build its Claude AI models and includes multiple Nvidia chip architectures. The partnership will also require working with Broadcom and Google to secure 3.5 gigawatts of power.

April 10, the China Artificial Intelligence Industry Development Alliance held its plenary meeting in Wuhan, emphasizing that artificial intelligence is entering the era of intelligent-native systems, focusing on breakthroughs in model capabilities, the rise of agent frameworks, and the activation of economic growth and security risks through large-scale applications. The alliance will focus on technological innovation and safety governance.

The HY-Embodied-0.5 series of embodied intelligence foundation models released by Tencent includes two versions: 2B and 32B. It focuses on improving spatiotemporal perception and embodied reasoning capabilities, and is suitable for scenarios such as environment prediction and task planning. The 2B model has been open-sourced; its performance is better than other same-scale SOTA models, demonstrating strong intelligent generalization ability and application potential.

Embodied intelligence is reaching a turning point. China’s Zhiren robot company has released GE-Sim 2.0, upgrading world models into a robotic simulator. The technology is designed to address problems such as high training costs and insufficient data, enabling robots to autonomously learn and improve in a virtual environment, and it represents an important advancement for China in robotics technology.

OpenAI has recently faced legal and regulatory crises. The Florida attorney general has launched an investigation into the use of ChatGPT, suspecting it may have helped plan a campus shooting, and it will also face lawsuits brought by victims’ families. In addition, OpenAI is also facing multiple legal lawsuits for encouraging self-harm and generating inappropriate content. The company has said it will fully cooperate with the investigation and has put forward a “Children’s Safety Blueprint” to improve related issues.

Anthropic has launched Claude Managed Agents, providing a fully managed AI agent development platform that simplifies enterprise automation workflows and claims it can speed up product production by ten times. The platform includes a security foundation, supports long-running execution and multi-agent coordination, and helps developers focus more on core business work. Notion has already been the first to apply this service, improving work efficiency and showing that competition in the enterprise AI market is intensifying.

Bittensor co-founder Const responded to community controversy, clarifying token release and management permission issues and emphasizing that his actions are no different from those of ordinary holders. He denied large-scale sell-offs, saying transparency in trading is a core principle, and that community discussions are still ongoing.

On April 10, the authoritative AI benchmarking platform LMArena updated its rankings. GLM-5.1 took first place among global open-source models and third place globally, showcasing excellent coding ability and breakthroughs in long-range tasks. It became the only open-source model to achieve continuous work for 8 hours.