
The US President assigns a leadership team to coordinate artificial intelligence efforts and protect American interests
US President Donald Trump announced the formation of a “super-intelligence force” led by four officials to coordinate artificial intelligence policies, with the aim of ensuring American leadership and protecting national interests, amid growing concerns about the safety and impact of this technology.
AI-generated summary
Trump previously announced his intention to create an artificial intelligence force amid calls to control the rapid development of this technology. This comes in light of fears that artificial intelligence agents are getting out of control.
US President Donald Trump announced on Sunday the formation of a command and defining tasks for the “Super Intelligence Force,” which he said would work to “ensure America’s continued leadership of the world” in the field of artificial intelligence.
Trump said in an announcement posted on his “Truth Social” platform that the “Super Intelligence Force” team will work to “protect the interests” of Americans and “improve their lives.”
He explained that the team will coordinate the government's dealings with consumers, public interest groups, religious organizations, infrastructure providers, and artificial intelligence companies.
The group will be led by four officials: Director of National Intelligence Jay Clayton, Federal Trade Commission Chairman Andrew Ferguson, Under Secretary of Defense for Research and Engineering Emil Michael, and Director of the Office of Personnel Management Scott Kubor.
Trump said the task force will report to him and White House Chief of Staff Susie Wiles.
Trump announced last month that he intends to create an “artificial intelligence force” and appoint a high-ranking official for artificial intelligence affairs, at a time when calls are increasing to place controls on the rapid development of this technology. CNN reported on Friday that Trump was moving to choose Clayton to lead the group.
The announcement of the task force comes in the wake of a series of incidents that have raised widespread concerns about the safety of artificial intelligence, including artificial intelligence agents getting out of control and attempting to penetrate federal government databases.
Trump has repeatedly made clear that he views outpacing China and maintaining AI-led economic gains as a priority over addressing growing public concerns, and he had previously described concerns about AI as a "hoax." His support for this technology comes amid widespread dissatisfaction with the data centers used to support it, a dissatisfaction that is affecting the midterm election races.
Last week, the president hosted senior executives in the field of artificial intelligence at the White House. The group signed a new commitment aimed at strengthening “self-policing” of their companies’ artificial intelligence models, considering that this flexible approach represents the best way to balance safety concerns with the president’s desire to accelerate the development of the technology he called “super intelligence.”
“I see tremendous efforts at self-censorship,” Trump told reporters, “and they fully understand the need to exercise this censorship themselves.” He added: "These models are very complex, however, I believe they will be used for good purposes."
Speaking about artificial intelligence during his confirmation hearing as head of the US intelligence community, Clayton described this technology as a “game changer.”
AI outlook — possibilities, not facts
Submit periodic reports from the force to the President and the White House Chief of Staff.
Very likely · Within months

Nine AI systems from the United States, China, Europe, and Africa predicted the winners of the 2026 Nobel Prizes, with the majority agreeing that GLP-1 research deserves the medicine prize, while five systems favored Chinese writer Ding Xiaohua to win the literature prize and another five favored David R. Leo with the Chemistry Prize, with a clear difference in the Peace Prize predictions and notable errors in the predictions.

The article discusses a research development that aims to enable artificial intelligence models to estimate uncertainty and acknowledge lack of knowledge when evidence is insufficient, especially in the medical field, through methods such as metacognitive reinforcement learning, emphasizing that normative confidence is no less important than accuracy, and that implicit human expertise remains a challenge for machines.

New data centers in Europe are causing widespread controversy due to their extensive consumption of water and electricity. Local protests are growing in countries such as France, Austria and Ireland, while the European Commission seeks to impose new efficiency standards to ensure the sustainability of AI infrastructure.

David Robinson, a former safety employee at OpenAI, criticized the company's approach to AI development, noting that a fast-paced culture focused on rapid release increases the risk of failures, and called for safeguards closer to those used in nuclear power and aviation, as the company launches a permanent 'DOTS' agent capable of working in the background and the development of an ultra-thin swimming robot by MIT engineers.

Some electric car riders report experiencing severe motion sickness, particularly linked to regenerative braking and silent operation, though experts note limited evidence and suggest genetic or habituation factors may play a role.

An engineer, using artificial intelligence, succeeded in decoding a military code dating back to the era of Napoleon Bonaparte in 1809, coinciding with Egypt’s announcement of a draft regulation for the Medical Syndicate controlling their media appearances.