What's strictly AI: models and their updates, AI-specific tutorials, running models locally, agents, and model evaluation. Always with a test and an example.
The OpenAI Agents SDK offers three building blocks (agents, handoffs, and guardrails) to orchestrate teams of LLMs in Python. The tutorial shows how to put them together and where the architecture tends to break before production.
The 2025-06-18 revision of the Model Context Protocol, published more than a year ago, removed JSON-RPC batching and changed the contract for tool responses. Anyone who hasn't updated their code yet risks a silent break.
The official Gemini API documentation, updated on October 6, 2026, confirms that the Interactions API has been the standard interface since June and that the old generateContent is now legacy. Anyone maintaining agents or RAG built for Gemini 1.5/2.0 has code adjustments ahead, not just a model upgrade.
The benchmark leap is real, but the open weights, which underpin the promise of running on-premise, are only expected by the end of the month.
Google DeepMind launched EmbeddingGemma 2, an open model with 740 million parameters that combines text, image, video, and audio in a single vector space and runs with less than 600MB of RAM, without relying on the cloud.
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