1. Google DeepMind releases Gemini 3.1 Pro, ARC-AGI-2 reaches 77.1%
Google DeepMind launched Gemini 3.1 Pro, the most powerful pro-level model to date, which supports an ultra-long context window of 1 million tokens and scored 77.1% on the authoritative inference benchmark ARC-AGI-2, significantly ahead of its competitors. The model's multimodal reasoning capabilities across text, images, audio, video, and code mark a key step in Google's multimodal AI race.
2. Anthropic upgrade Claude Opus 4.6: Effort level control and Agent team collaboration
Anthropic has brought two important updates to the flagship model Claude Opus 4.6: the first is the "Effort Controls" function, which allows developers to flexibly allocate the intelligence level and cost among the four levels of low, medium, high, and max; the second is the Agent team mode, which allows multiple Claude instances to dismantle large tasks in parallel to complete collaboratively. In addition, a new Context Compaction function is added to support longer-period autonomous task execution.
3. China’s MiniMax M2.5 competes with Claude Opus 4.6 and costs significantly less
Chinese AI startup MiniMax has launched a new model, the M2.5, which according to reviews performs competitively with Anthropic's Claude Opus 4.6, but is priced at a fraction of the latter. Technology giants such as Tencent, Alibaba, Baidu, and ByteDance also released new models intensively in March. Chinese models are approaching the performance level of top American systems at very competitive prices.
4. Samsung and Google join forces: 800 million devices will be equipped with Gemini AI by the end of the year
Samsung Electronics announced a strategic goal: to cooperate in depth with Google to double the number of mobile devices equipped with Gemini AI to 800 million units by the end of 2026. The coverage will extend from flagship models to mid- to low-end smartphones and tablets, further extending generative AI capabilities to a wider user base around the world.
5. Vercel open source Skills.sh: giving AI Agent reusable command line action capabilities
Vercel released the open source tool Skills.sh, designed specifically for AI Agents, allowing them to call standardized executable actions through a command line interface. At the same time, Datadog announced the implementation of automatic tracking monitoring for applications built with Google Agent Development Kit (ADK). The two tools jointly accelerated the standardization process of AI agent infrastructure.
6. The U.S. executive order unifies the AI regulatory framework and uses federal funds to pressure state legislation
The Trump administration signed an executive order requiring the establishment of a national AI policy framework with "minimum regulatory burden" and used the seizure of $21 billion in federal broadband subsidies (BEAD) as a means to force states to align with the federal framework. Colorado, California, Texas and other states have passed AI transparency and algorithmic discrimination prevention laws, among which the Colorado AI Act will officially take effect on June 30, 2026.
7. Anthropic donates US$20 million to promote AI legislation and prepare for the 2026 election
Anthropic is donating $20 million to Public First Action, a political action group that advocates for AI regulation, supporting bipartisan candidates pushing for AI governance legislation in the 2026 midterm elections. This move shows that leading AI companies are actively participating in policy shaping, and also reflects the industry’s growing concerns about regulatory backlash caused by disorderly competition.
8. The AI industry has entered the "pragmatic implementation" stage: small models, client-side and agent frameworks have become mainstream
Industry analysts point out that in 2026, the focus of AI will shift from “stack scale and parameters” to actual deployment and commercial implementation. Smaller and more efficient models are embedded in terminal devices, and the Agent framework has become the mainstream choice for enterprise AI integration. Traditional industries such as manufacturing, medical care, and finance are accelerating the introduction of AI automation to cope with rising labor costs and efficiency pressures.
// KEY TAKEAWAYS
The news in this issue presents three main lines: at the technical level, Google Gemini 3.1 Pro and Anthropic Claude Opus 4.6 continue to refresh the upper limit of multi-modal and agent capabilities, while China's MiniMax M2.5 intensifies global competition with low-cost and high performance; at the commercial level, Samsung and Google will roll out AI to 800 million devices, and the industry as a whole has shifted from showing off technology to large-scale implementation; at the policy level, the US federal and state-level regulatory game is intensifying, and Anthropic is investing heavily. With US$20 million betting on the direction of legislation, AI governance has become an unavoidable core issue in 2026.