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Higher Education Is About to Find Out What It Actually Sells
AI is separating knowledge access from credential from network from status signaling. Universities that can't articulate their unique value are in real trouble.
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What Makes a Product Review Age Well After 2 Years
Most reviews die the moment a newer model ships. A handful stay useful for years. The difference isn't the product, it's whether the review was built on specifications or on reasoning that survives the specifications going obsolete.
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Caching embeddings locally for a private retrieval layer
Running retrieval against a local Ollama embedding model is easy. Not re-embedding the same document twice, and never letting anything sensitive touch an external API, is the part worth getting right. A local cache and a content hash do most of the work.
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The Personalization Trap
EdTech has promised personalized learning since the 1990s. AI brings this closer, but the concept itself may be built on a flawed theory of how learning works.
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How Much RAM and Storage Do You Really Need on a Mac?
How much RAM and storage to buy on a 2026 Mac: why unified memory is soldered for life, why 16GB is the floor, the 256GB SSD trap, and when an external drive beats Apple's prices.
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The Quiet Revolution of Apple Silicon (That Nobody Talks About)
The Apple Silicon story gets told through benchmarks. The more interesting part is the design bet underneath them: that efficiency isn't a constraint to work around, it's the thing you build everything else on top of.
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The honest case for agents that only suggest
Suggest-only agents lost the marketing war years ago. The argument for them isn't caution, it's that the review step is where the value actually lands, and autonomy is what removes it.
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Switching From Windows to Mac: A Survival Guide for Your First Week
A first-week guide for Windows-to-Mac switchers: the Command-key remaps, Finder versus File Explorer, trackpad gestures, app equivalents, and a day-by-day plan.
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What the Calculator Wars Actually Teach Us
The calculator debate is the closest historical parallel to AI in education. Getting that history right matters for understanding what comes next.
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Why Most 'Pro' Products Are Designed for Nobody
Pro products are built for the person who approves the feature list, not the person who uses the tool. Why the label has drifted into a marketing category, who actually buys these things, and when the premium is genuinely worth paying.
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Why your wiki should probably be an MCP resource, not a tool
Exposing internal documentation over MCP as a search tool means the model guesses when to look. Exposing it as a resource means the human decides. That distinction changes what the integration is good for.
