AI Industry Development & Policy Dynamics

SpaceX CEO Shotwell revealed in an interview that the company plans to merge with xAI to build a lunar base and move its data center into outer space. In addition, as a supplier of landing vehicle systems for NASA’s Artemis program, SpaceX is committed to developing orbital refueling technology and hopes to achieve automated lunar production within five to ten years, reducing reliance on Earth’s resources.

The rise of AI has led to over 110,000 job losses in the U.S., sparking public concern. While some view AI with apprehension, proposals for funding welfare through AI taxation aim to address its labor market impacts.

The article discusses the Top 10 AI Agent Projects in cryptocurrency based on social activity, revealing Chainlink ($LINK) as the leader. It highlights engagement and interaction metrics for various projects, indicating strong interest and demand in the market.

Picsart has recently launched an "Earn with Picsart" profit-sharing program. Creators can earn revenue by posting video content, and the payout is calculated based on engagement rate rather than follower count, with no entry requirements to participate. The program is intended to strengthen the creator ecosystem, encourage the production of high-quality content, and attract more users to the platform.

The Maine state legislature in the United States is advancing LD 307, pausing the issuance of permits for large data centers above 20MW, becoming the first state to implement this ban. The move was prompted by nearly a 60% increase in electricity bills and public opposition; in the future, it may lead other states across the U.S. to follow suit and establish a data center coordination committee to assess the impact.

Google announced on April 10 that its AI Mode restaurant reservation feature has expanded to eight markets, including Australia, Canada, Hong Kong, India, New Zealand, Singapore, South Africa, and the United Kingdom, signaling that the adoption of agentic AI is being further deepened. This feature allows users to search for restaurants, check availability, and book with a single click using natural language, improving the convenience of online reservations. The addition of Asian markets highlights Google’s presence in the region, but Taiwan has not been included in the initial rollout list.

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.