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@_philschmid
Agents & Gemini API, MTS @GoogleDeepMind | prev: Tech Lead at @huggingface, AWS ML Hero 🤗 Sharing my own views and AI News 🧑🏻💻 https://www.philschmid.de
AI
Clement Delangue says it omitted the lack of agent containment and monitoring and Hugging Face's open-model defense.
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A user cites a 27% cache miss rate and says Gemini's cache doesn't work.
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The researchers say the agents wrote 2,783 programs over 27 hours, coordinating through game chat and shared memory.
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A post says Pro subscribers get a separate weekly Argon quota that won’t eat into their Flash quota.
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A post says the site includes fine-tuning guides, inference optimizations and educational material on how the models work.
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A post asks for early feedback on Gemini 4 Argon and says the input will be taken seriously.
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A user says the renderer starts with broad strokes, blocks in buildings and river, then adds water highlights.
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A user praises what people are building with EmbeddingGemma 2 and welcomes the attention embedding models are getting.
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Google says Argon is available through its paid API tier and to Pro and Ultra subscribers in Gemini and Search.
YouTubeAI
An October 12 post promoted Everett Hildenbrandt's live talk on stopping autonomous agents from causing catastrophic failures.
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Satya Nadella says it outperforms LLMs and other decision models in latency and quality on structured decision tasks.
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A post argues that buying that capability can feel possible, but says the attempt will never work.
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Google says the English-language portal checks images, video and audio for watermarks from its AI models and partners.
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Google says its new open model, built on Gemma 4 and released under Apache 2.0, maps text, images, video, audio and code into one embedding space while running locally on phones and desktops.
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A user says it was their first time seeing unlimited human usage paired with a limit on agent usage.
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Google announces a 1 million-token output limit, up from 64,000, for its new model. Initial access goes to trusted cyber defenders through the Fairwind Program.
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A post says developers can use the API with the same `google-genai` SDK. Google describes it as a unified interface for building stateful apps with Gemini models and agents.
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The launch write-up says credentials stay on the server, while a proxy injects them into outgoing requests to trusted domains instead of exposing raw keys to sandboxed code.
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A YouTube video frames space-based machine learning as Google’s latest moonshot, with its description highlighting solar power in space.
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Google DeepMind released Gemini 3.8 Flash and Flash-Lite text-to-speech models on Sept 23, featuring studio-grade audio with emotional range, voice cloning from 30-second samples, 2,000+ prebuilt voices, and multilingual support. Ranks #1 on Hume AI Voice Design benchmark.
