The White House is accelerating the development of standards for releasing cutting-edge AI models, with an announcement expected as early as next week.
Related
The White House plans to release new AI regulatory standards next week, retracting Trump's previous promise of "light regulation."
According to Beating's monitoring, the Trump administration's "light regulation" approach to AI is facing serious challenges. The Financial Times reports that the White House will release a set of voluntary standards for the release of cutting-edge AI models as early as next week. These standards aim to set benchmarks for models with top-tier cybersecurity capabilities and establish a release timeline to regulate future release processes. The Center for AI Standards and Innovation and the National Security Agency (NSA) will play key roles in standard setting and oversight. Last month, the Trump administration's direct intervention in two major AI labs triggered industry chaos and anger: Anthropic's latest model was subject to export controls on June 12 due to concerns about misuse and cybersecurity, and was only unbanned this Tuesday; OpenAI was required to release GPT-5.6 only to a government-selected population, with a wider release expected as early as next week; Google is also communicating with the government before releasing a new generation of coding models with stronger cybersecurity capabilities. Although Trump promised to ease regulations so that American companies could outperform their Chinese counterparts, the potential risks of new models exploiting security vulnerabilities and disrupting key industries are forcing the White House to accelerate the tightening of security measures.
Lee Jae-myung: Semiconductors, displays, secondary batteries, and biomedicine are the four cutting-edge industries that will determine South Korea's future development in the AI era.
According to Mars Finance, South Korean President Lee Jae-myung stated on July 2nd that the Chungcheong region possesses enormous development potential. He believes that with strategic corporate investment and unwavering government support, it will not only become a center for cutting-edge industries in South Korea but also rise to become a world-class innovation hub leading the era of artificial intelligence (AI). Lee Jae-myung chaired a national report meeting on the vision for the development of cutting-edge industries in the Chungcheong region in Asan, South Chungcheong Province on July 2nd. After listening to presentations on investment plans for the Chungcheong region from companies such as Samsung Electronics, SK Hynix, and Celltronic, he stated that semiconductors, displays, rechargeable batteries, and biomedicine are the core strategic industries determining South Korea's future development in the AI era, and the Chungcheong region is precisely the core area where these four cutting-edge industries are concentrated and have a well-developed industrial ecosystem. Lee Jae-myung stated that the government will not miss this significant opportunity to promote balanced regional development and deeply integrate the layout of cutting-edge industries, and will mobilize all available resources to actively support corporate investment, allowing companies' strategic decisions to fully realize their benefits. (Cailian Press)
CFTC submits crypto market regulation plan for White House review
The US commodities regulator submitted a new crypto market regulatory action for White House review days after the Senate failed to advance the CLARITY Act.
Serenity: Funds in China's primary market are flowing into physical AI and world models, with funding for cutting-edge models concentrating on leading companies.
According to Mars Finance, on July 3rd, Serenity published an article stating that, based on AI investment in China's primary market, institutional funds are flowing towards embodied intelligence, physical AI, and world models. The article cites approximately $23.56 billion in funding for large-scale models/LLMs, $15.74 billion for AI infrastructure and technology layers, $13.36 billion for embodied intelligence/physical AI, $8.79 billion for AIGC applications, and $3.82 billion for autonomous driving and other Top-20 clusters. However, this figure is not entirely comparable to the aforementioned categories. Early-stage, purely basic model funding has essentially closed, with more funds flowing to established leading companies and world model companies. The article believes a similar trend may emerge in the US market, with funds concentrating on leading companies like Anthropic and OpenAI, and that "world models have become the biggest consensus in early-stage investment." Several months ago, Serenity believed that 4D AI/world modeling would be the most noteworthy area to watch, mentioning that AEVA might offer exposure to this sector. However, there are currently no clear pure-play targets in the market, and we may need to wait for the next batch of IPOs in this field. Serenity stated that AIGC applications are the most mature area of AI technology commercialization, but there are currently no clear winners. Funds continue to flow into AI infrastructure and the semiconductor supply chain, while a large amount of capital is rotating into physical AI, embodied intelligence, humanoid robots, and world modeling, with cutting-edge modeling continuing to concentrate on leading companies.
Report: Fixed computing power masks the true capabilities of AI; the evolutionary speed of cutting-edge intelligent agents is underestimated by 60%.
According to Beating's monitoring, the UK AI Security Institute points out that current mainstream AI agent testing has significant blind spots. Evaluation methods with fixed computing power limits severely underestimate the true capabilities and iteration speed of models. The research team tested the performance of several cutting-edge large-scale models in benchmarks such as cybersecurity, software engineering, and mathematics. The test results show that the performance of an agent is not a fixed score, but rather a curve that continuously increases with test-time compute. In network attack and defense tests, when the computing power budget increased from 2.5 million tokens to 50 million tokens, the upper limit of the complexity of tasks that the most advanced agents could overcome (equivalent to human time) skyrocketed from 2 hours to 14 hours. Many attempts that failed with low computing power could eventually complete the task if given sufficient computing power to allow the agent to explore and correct errors. The new model's utilization efficiency of test-time compute power is significantly higher than that of the old model. Under a sufficient budget, the measured trend of cutting-edge capability evolution (the slope of the fitted curve) is approximately 60% steeper than in low-computing-power tests, demonstrating that traditional assessments severely underestimate the true iteration speed of AI. However, this computing power advantage has its limits; in fields such as healthcare where immediate feedback is lacking, increasing computing power does not necessarily improve the performance of intelligent agents. As inference costs decrease, low-budget assessments may lead decision-makers to underestimate the risks of AI agents in practical applications.
South Korea is advancing the development of cutting-edge artificial intelligence models and expanding its infrastructure.
South Korea's Vice Minister of Science and ICT stated on the 3rd that the South Korean government is strategically re-evaluating the construction of its autonomous artificial intelligence (AI) infrastructure. The government will promote large-scale projects centered on AI infrastructure, physical AI, and autonomous model capabilities. The Vice Minister also pointed out that South Korea has increased its AI budget to 9.9 trillion won this year, three times that of last year, in order to rank among the world's top three AI powers. The South Korean government is planning to expand the construction of AI data centers, expecting to complete 8.4 gigawatts of data center capacity by 2029 and add another 10 gigawatts by 2035. The government has also set a goal to become number one globally in physical AI by 2030. Simultaneously, it will promote the "AI for All" project, enabling all citizens to use AI services. (Cailian Press)