Tuesday, 21 July 2026 Sign in

Introducing Groundsource: Turning news reports into data with Gemini

Google Research 12 March 2026, 10:42 ● Covered by 2 sources

Google introduced Groundsource, a methodology that uses Gemini to extract flood data from global news reports and create historical disaster datasets. The initial flash flood dataset contains 2.6 million records spanning more than 150 countries from 2000 to present, with 82% of extracted events accurate enough for practical analysis. The structured data enables Google to provide urban flash flood forecasts up to 24 hours in advance through its Flood Hub service.

Why it matters

Climate & Sustainability

Read the full story at Google Research

Also covered by

Google Research — Protecting cities with AI-driven flash flood forecasting

Gemini

Every AI story that matters,
in your inbox by 8am.

TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Free, no spam, unsubscribe anytime.

TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

Read the full briefing →

Introducing Groundsource: Turning news reports into data with Gemini

Why it matters

Also covered by

Related stories

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
in your inbox by 8am.