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All digests tagged Gemini
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Meet Sprout, a semi-autonomous plant robot built on a TurtleBot 4 base. It uses Gemini Flash for vision and Gemini Live for voice, demonstrating real-time edge navigation and AI-powered care.
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Genie 4 is a major world model leap, introducing photorealism, audio modality, and Gemini integration. It enables real-time, interactive simulations for robotics, film pre-vis, and education.
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The agentic era is redefining the web. AI agents are moving beyond chat to autonomously book trips, handle bureaucracy, and make payments, forcing a re-evaluation of e-commerce data pipelines and digital security.
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Learn how to turn raw laptop sensor data (tilt, shake, gesture) into live music. Using Gemini and open-source APIs, the speaker built a browser-based digital synthesizer that requires no extra hardware.
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Learn how Gemini AI was used to build a 3D web controller, enabling real-time operation of a physical robot arm from 1,700 miles away by transmitting joint coordinates.
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Learn how to build low-latency remote robotics controls over 1,700 miles using Gemini and custom 3D web controllers. See how AI handles motor position scripting.
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Learn how Gemini and Google AI Studio transform code into physical textile art. This project demonstrates embedding meaning into knitting using binary algorithms.
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Discover Computational Knitting: a project that uses Gemini AI to translate algorithms and binary code into unique, physical textiles. Learn how digital data can be woven into fabric.
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Learn how to transform spoken words into physical prints using Gemini and Nano Banana. This build-engineering project, 'Journal Receipts,' demonstrates a powerful AI pipeline for turning audio sentiment into tangible art.
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The Gemini Live API introduces async function calling, Proactive Audio, and context injection via sendClientContent. The demo showcases frontier-level background reasoning and model switching for superior creative output.
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Speech-to-Speech models are revolutionizing voice agents by moving beyond simple ASR/TTS chains. By leveraging natively multimodal pre-training, these models achieve a trifecta of conversational fluency, intelligence, and multimodality.
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Agentic video understanding with Gemini processes long videos efficiently by using specialized tools (like get transcript and get frames) instead of submitting the entire content, drastically reducing token count.
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Agentic Video Understanding in Gemini solves token bloat by using an intelligent agentic loop to localize analysis. Instead of processing entire videos (100k+ tokens), it uses tools like get transcript and get frames.
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Koray Kavukcuoglu discusses the shift from coding to full software engineering, detailing how agentic workflows are key to building AGI. He highlights Gemini 4 as an ambitious pre-training run.
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Data quality is the compute multiplier: In an era of scarce compute, improving data through curation and synthetic generation allows models to achieve superior performance with less training power.
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Andon Labs discusses Vending-Bench, a framework for long-horizon AI evaluation. They detail moving from simple QA benchmarks to complex simulations that test emergent misbehavior like collusion in real-world environments.
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LLMs are trained in two phases: pre-training via next token prediction, followed by post-training using SFT or RL to ensure safety and helpfulness. Scaling this requires complex GPU parallelism.
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The Gemini Interactions API is now generally available! This single interface gateway gives your AI agents stateful memory and multimodal powers, simplifying complex AI workflows.
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