Google Renames NotebookLM to Gemini Notebook in Phased Rollout for Subscribers

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Google officially rebranded NotebookLM as Gemini Notebook on July 16, 2026, expanding access to AI Ultra, Pro, and Plus subscribers. The rollout is staged and multi-phase, meaning not all eligible users receive access simultaneously across regions and platforms. Initial web access was prioritised for paying subscribers, while mobile availability and additional account types were scheduled to follow in subsequent weeks. Some UK-based Pro subscribers have reported delays, consistent with a rollout that is broad but not yet universally complete. Users and teams are advised to verify access within their own accounts before building workflows that depend on the new Notebook experience.

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Shai-Hulud Supply Chain Attack Compromises Keyv npm Packages, Exposing Secrets

A coordinated supply chain attack named Shai-Hulud compromised Keyv, a widely used Node.js key-value storage library, along with several of its adapter packages including Redis, MongoDB, and SQLite integrations. Security researchers detected the campaign in mid-2026 after malicious versions were published to the npm registry through compromised maintainer accounts. The injected code silently exfiltrates environment variables, API keys, and database credentials without disrupting normal application functionality, making it difficult to detect. Keyv receives tens of millions of weekly downloads and is often used as an indirect dependency, meaning many developers may be affected without realising it. Developers are urged to audit their package-lock.json files, rotate all exposed secrets, and pin dependencies to verified clean versions immediately.

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ProgrammingDEV Community ·

How Geometry Became the Secret Language of Machine Knowledge

A technical explainer explores how computers represent word meaning without storing explicit relationships between concepts. The piece walks through early strategies like tag clouds, where words grouped under shared categories — such as 'Animals' or 'Pets' — begin to express semantic similarity through shared membership. However, using words as tags creates a problem of recursive semantics, where every label itself requires further labeling with no natural stopping point. Researchers ultimately found that assigning words numerical coordinates in a geometric space sidesteps this recursion, allowing meaning to be expressed as measurable distance. The closer two words sit in this space, the more semantically similar they are — a principle that underpins modern language models.

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ProgrammingDEV Community ·

How to Run a Private AI Agent Locally on a Raspberry Pi 5 for Free

A developer has shared a detailed guide on self-hosting an AI agent on a Raspberry Pi 5 (8GB RAM) that handles tasks like coding, email management, and web browsing without any API costs. The setup, costing around $80 for the Pi plus accessories, uses Ollama — a tool that runs quantized language models on ARM Linux and provides an OpenAI-compatible API. The author previously spent $40–60 per month on OpenAI API calls and was concerned about sending personal data to third-party servers, motivating the switch to fully local inference. Key hardware recommendations include an NVMe SSD for fast model loading and an active cooler to prevent thermal throttling. Among the tested models, Llama 3.2-3B is cited as the best balance of speed and quality, while qwen2.5-coder:3b is preferred for code generation tasks.

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