Notes and reports exploring technology policy.
AI-enabled drug programs are reaching clinical development years ahead of traditional benchmarks, while AI agents are beginning to search for new biology upstream. The experiments still run on physical time.
ReadXi Jinping last visited the White House in 2015, when Washington was encouraging civilian high-tech exports to China. He returns this week with rare earths, tariffs and artificial intelligence on the agenda, backed by an industrial system much larger than the one he represented then.
ReadWhat Silicon Valley can teach the United Nations about improving the human condition.
ReadBrookhaven’s GridFM 2.0 aims to let utilities test a billion grid configurations in 24 hours, but software speed cannot bypass multi-year transformer manufacturing backlogs.
ReadAs Huawei faces a federal jury in Brooklyn, its post-sanctions hardware and aggressive AI roadmap show what the company did after Washington cut off access to American technology.
ReadWeatherNext 3 shows how hourly satellite updates and AI forecasting can buy critical lead time, while Hurricane Otis shows why a better forecast is only the beginning.
ReadHow computational models can narrow biological experiments before researchers turn to living animals, making science faster, more scalable, and humane.
ReadAI can find promising science faster, but turning ideas into medicine still requires more compute, laboratories, clinical trials, and manufacturing.
ReadHow China-linked influence operations exploit U.S. data-center disputes as physical power constraints slow the American AI buildout.
ReadThe 2026–27 school year begins with schools, platforms, and regulators drawing new age-based boundaries around phones, social media, gaming, and AI.
ReadSmall governments can use AI to expand staff capacity without handing judgment or legal responsibility to software.
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