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AI Agents

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Tuesday, 18 November 2025

Start building with Gemini 3

Google DeepMind 8 months ago ● 3 sources

Google released Gemini 3 Pro, an AI model designed to assist developers with coding and app creation across multiple platforms. The model scores 54.2% on Terminal-Bench 2.0 for tool use and costs $2 per million input tokens through the Gemini API. Developers can now use Gemini 3 Pro in Google AI Studio, Android Studio, and third-party tools like Cursor and GitHub Copilot, with a new Google Antigravity platform enabling autonomous agents to handle complex development tasks.

Read at Google DeepMind

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TLDRocket 25 July 2026

Document conversion tools are having their benchmark moment. Datalab's Marker 2 outpaced rivals MinerU and Docling on Allen AI's standard test, posting a 76% accuracy score while processing pages three times faster than MinerU—a meaningful gap when you're extracting data from thousands of PDFs. The tool's three-mode design (balanced, fast, CPU-only) addresses a real tension in the industry: most teams need both speed and accuracy, rarely getting both. Marker 2's licensing model targets serious users, requiring paid licenses for companies above $5 million in revenue, which should fund continued iteration on what remains a deceptively hard problem—teaching machines to read messy, variable document layouts.

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AI Agents

Tuesday, 18 November 2025

Start building with Gemini 3

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

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