San Francisco Bay Area
Research claims, AI agents and evaluating a prototype.
Berkeley Artificial Intelligence Research blog · Stanford HAI AI Index
Explore the sources and worksheet →Research • Learn • Evaluate
Follow AI news through local sources
Find research institutions, learning resources and useful ways to assess AI announcements in San Francisco, Seattle, New York and Singapore. Each guide gives you a different reading workflow and a worksheet to try.
Seattle
Open models, reproducibility and research evaluation.
Ai2 · University of Washington Allen School
Explore the sources and worksheet →New York
Research literacy, open learning and workplace decisions.
NYU Center for Data Science · NYU CDS · Cornell Tech
Explore the sources and worksheet →Singapore
Regional languages, practical adoption and evaluation.
AI Singapore · SEA-LION · IMDA
Explore the sources and worksheet →Use a local source to answer a specific question
Start with the institution behind a result, then follow its paper, model card, code or programme documentation. The guides suggest how to turn those sources into a prototype decision, a reproducibility check, a team briefing or a multilingual evaluation.
These are curated research guides. Institutional links identify the sources used; they do not imply a partnership with The Daily Prompt. For the broader current news collection, visit AI news. For a durable explanation, try our practical answer guides.
How Google Trends informed this collection
We checked the English search term AI news for October 21, 2025–October 20, 2026, with All categories and Web Search, on October 21, 2026. The observations helped us choose places where we could also provide useful primary sources. They are a snapshot of relative search interest, rather than a ranking of the world’s cities.
US metro comparison
| Measured geography | Relative interest |
|---|---|
| San Francisco–Oakland–San Jose CA metro area | 21 |
| Seattle–Tacoma WA metro area | 15 |
| New York NY metro area | 12 |
These values use the same US metro scale. The highest observation in that request was Cheyenne WY–Scottsbluff NE at 100. San Francisco, Seattle and New York are selected resource guides, not the three highest-scoring metros. A metro is wider than its named city.
Worldwide country comparison
Singapore, a city-state, scored 73 in a separate worldwide country comparison, where South Korea was 100. Singapore’s 73 cannot be compared directly with the US metro values because the requests use different normalization scales.
Google Trends samples searches and adjusts relative interest for the total searches in each geography. It does not provide the number of searches here, measure the prompts people send to chatbots, or predict visits to this site. Scores can change when the data is sampled again. Google explains its data and normalization.
Repeat the check
- Open the US Google Trends comparison or the worldwide comparison.
- Keep AI news as a search term, the fixed date range above, All categories and Web Search.
- In Interest by subregion, select Metro for the US comparison and Country for the worldwide comparison. Record the scope along with any exported value.
- Treat missing city-level data as unavailable. A country or metro observation does not establish a city-only score.
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