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    AI Tutorial: Gemini Has a Crazy Good New Coding Version (and You Can Synopsize Videos)


    Those of you who are developers or even just "vibe coders" (that is, amateurs who use AI to generate code) might be interested in the fact that Gemini has a new coding version. There's a good video about it here:  

    This version of Gemini is technically known as the Gemini 2.5 Pro I/O Edition, and it's crushing a lot of the coding benchmarks. See an example here, which is the WebDev benchmark: https://web.lmarena.ai/leaderboard

    Even if you're uninterested in coding, however, you might be interested in the fact that you can ask Gemini to create a synopsis of videos as well as prose articles. You just give the video URL to Gemini and ask it to summarize it for you. (We could do this for virtually all our archived webcasts if we like).

    I did that with the video URL above and here's what I got: 



    This video discusses the updated version of Google's Gemini 2.5 Pro model, highlighting its improvements and features. Key takeaways include:
    • Enhanced Capabilities: The updated Gemini 2.5 Pro demonstrates significant advancements in front-end and UI development, fundamental coding tasks, and the creation of agentic workflows ]. It reportedly outperforms Claude 3.7 Sonnet in web development ].
    • Accessibility and Ranking: The model is available for free at aistudio.google.com ] and holds the top rank on the LM arena for preferred responses among the latest Frontier models ].
    • Pricing: Gemini 2.5 Pro is priced at $3.40 per million input tokens, nearly half the cost of Claude 3.7 ].
    • Developer Features: The Gemini Studio API offers structured outputs, code execution, function calling, and grounding with Google Search ]. The Gemini web app includes a canvas feature that allows users to input images, videos, and text to generate web applications ], even from simple doodles ].
    • Performance: The model achieves leading performance on junior developer evaluations ] and is considered the best Frontier model in terms of capability-to-latency ratio ].


    And, as you can see, it even tells you where in the video certain information resides. This has a ton of potential applications, of course. Here's a doc that discusses a lot of the applications: https://docs.google.com/document/d/1fSj5jSDxNCAzSAIYQToAWVoGt1jXlA4TtYJuQjwvx74/edit?usp=sharing
     

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