Lawmakers are pushing for an “AI Kill Switch Act” mandating developers’ ability to shut down advanced AI models due to escalating cyber incidents. Recent breaches show sophisticated AI agents compromising other companies. This legislation, compared to car safety testing, aims to prevent catastrophic risks without stifling innovation. The debate also considers regulating open-weight models, which are harder to control due to their decentralized nature.

House Judiciary Republicans express deep concern over South Korea’s recent online regulations, fearing they could enable government censorship and suppress opposing viewpoints. They argue the amendment to the data privacy law, targeting “fake news,” threatens online speech and could penalize American companies and users for exercising constitutionally protected rights. The lawmakers criticize the law’s vague definition of “false information” as ripe for abuse.

Research shows user expertise critically impacts AI explainability in healthcare. Non-experts, particularly with LLM explanations, tend to defer to AI, increasing errors. Primary care physicians perform best with AI predictions alone, being more critical of explanations. The study stresses tailoring AI interfaces to user expertise to avoid automation bias and ensure safe integration.

Asian technology stocks, particularly in South Korea and Japan, experienced a sharp downturn, mirroring U.S. markets. This volatility highlights investor concerns around AI-driven growth, with major chipmakers like SK Hynix and SoftBank seeing significant drops. Despite these fluctuations, analysts from J.P. Morgan and S&P Global remain cautiously optimistic, believing fundamental demand for AI remains strong and investment cycles are intact.

Google faces a critical juncture, balancing a booming cloud division with significant AI talent departures. Key researchers are leaving for startups and rivals, driven by a desire for cutting-edge work and faster innovation. Internal tensions over computing resource allocation are evident, as frontier AI research demands immense power. Leadership shifts, including Demis Hassabis’s new role, signal a focus on long-term research and AGI. Google’s strategy aims to profit from AI through infrastructure, its own models, and product integration, navigating the balance between foundational research and commercial application.

SoftBank reported a first-quarter profit exceeding market expectations, driven by a significant gain from its Intel investment. The Vision Fund also benefited from ByteDance’s increased valuation. Despite a year-over-year profit decrease, these gains offset declines in other segments. SoftBank continues substantial AI investments, particularly in OpenAI, while facing increased scrutiny on AI spending and chip sector pressures.

Nintendo reported strong fiscal first-quarter earnings, exceeding revenue and profit expectations despite a decline in Switch 2 console sales. Robust software sales and the success of “The Super Mario Galaxy Movie” bolstered performance. The company reaffirmed its annual forecast, demonstrating confidence in continued success through strategic pricing and new game releases.

Representative Ro Khanna is proposing a “data center bill of rights” to give local communities more say in the construction and oversight of these facilities. The bill aims to allow communities to veto data center developments, especially near residential areas and schools, and ensure they do not increase utility rates or deplete local resources. This initiative reflects growing public concern over the rapid expansion of data centers and their environmental impact.

Hadrian, a manufacturing startup focused on defense and aerospace, has secured nearly $8 billion in valuation, more than quadrupling its January figure. Co-led by Baillie Gifford and J.P. Morgan Strategic Investment Group, the funding will fuel investments in workforce, its Opus software platform, and address national production challenges in areas like submarines and munitions. This surge reflects a broader boom in defense tech, with Hadrian positioned to modernize manufacturing through physical AI.

Microsoft is prioritizing OpenAI’s advanced models for internal AI development to boost efficiency and maximize token investment. This strategic shift reflects an industry-wide focus on cost consciousness amidst massive AI expenditures. The company is directing developers to use GPT-5.6 Sol for coding tasks, a move that balances innovation with fiscal responsibility in the evolving AI landscape.