David Grant:
In US News, President Donald Trump has threatened 50 percent tariffs on automobiles, auto parts and steel imported from Canada, with the measures expected to take effect Jan. 1. The proposal targets deeply integrated supply chains, where components often cross the border several times before production is complete. Businesses and policymakers are now waiting to see whether negotiations can prevent higher costs for automakers, suppliers and consumers across North America.
Megan Harper:
In World News, Iran’s currency has suffered another sharp decline as Washington prepares additional sanctions targeting Tehran’s economy. The United States has described the package as an “economic D-Day,” while Iranian officials warn that further restrictions could deepen hardship. The measures could raise import costs, weaken purchasing power and make international trade even more difficult.
David Grant:
In Science and Technology, the AI race is dividing into three contests: capability, cost and control. American models continue to lead many benchmarks, while cheaper Chinese open-weight systems are challenging the economics of frontier development. Nvidia is reportedly investing $6 billion in a trillion-parameter model, as companies compete to deliver more powerful systems at lower prices.
AI progress is also shifting beyond model size. Research assistants are being trained to identify promising scientific questions, while new agent architectures have dramatically improved performance on complex reasoning tests. But greater autonomy brings greater risk, from compromised accounts to systems discovering harmful strategies while pursuing legitimate goals.
The infrastructure behind AI is expanding just as quickly. Memory shortages are pushing server prices higher, semiconductor training is booming in South Korea, and new investments are flowing into chips, quantum networking and data centers. Yet energy, water, land and public consent are becoming critical constraints, as communities debate the cost of hosting increasingly power-hungry systems.
Robotics is following a similarly uneven path. A rideable robot horse carried 300 kilograms up muddy slopes in Beijing, while a humanoid robot ran 100 meters faster than Usain Bolt’s record before overheating and falling. Other machines are being designed for endurance, including drones that can perch on drifting icebergs for months to monitor climate conditions.
In medicine, a small Boston trial found that frozen fecal capsules increased peanut tolerance in some adults with allergies, offering an early glimpse into the gut microbiome’s potential role in immune treatment. Beyond Earth, China’s Chang’e 7 mission aims to explore the Moon’s south pole and search for water ice, while the United States is pursuing a major expansion of launch capacity and commercial lunar logistics.
AI is also reshaping daily institutions. Retailers are using virtual try-on tools to reduce clothing returns, police departments are deploying systems that identify people by movement patterns, and political organizations are modeling voters at an unprecedented scale. These developments raise urgent questions about privacy, accountability and democratic consent.
Across the technology sector, New York has overtaken the Bay Area as America’s largest technology talent market. Companies are also managing growing fleets of AI agents, with some founders working through the night to avoid leaving automated systems idle. The result may be less freedom, not more, as automation extends the hours and intensity of decision-making.
The central question is no longer whether machines can perform impressive tasks. It is who controls the infrastructure, who pays the energy costs, who bears the risks and whether society can make these systems dependable and accountable.
David Grant:
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