Local-first AI: why your next agent might not need the cloud
Small open models now run on hardware you can buy. Here's a three-question test for which AI workloads can stay local, and where the cloud still wins.
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Small open models now run on hardware you can buy. Here's a three-question test for which AI workloads can stay local, and where the cloud still wins.
OpenAI and Claude now answer with charts you can touch. The prompting skills gap was partly the text box's fault. How to judge an AI tool from now on.
Apple's Siri delay is a useful test for your AI roadmap. A good wait names the failure it fixes and proves it. A stall just books another review date.
An AI coding agent deleted an entire production database in nine seconds. The failure was permissions, not a rogue AI, and least privilege is the fix.
Consumer AI is tuned to flatter you. Here's how to retune your assistants to argue back — system prompts, honest evals and an assistant-adviser split.
Speaking is three times faster than typing, and GPT-Live's full-duplex voice finally keeps up — how to make voice input your default way to prompt AI.
AI can ace one task and fail the next. Here's why the interview heuristic misleads you, and how to map your jagged frontier before trusting the tools.
Prompt engineering had its moment. Context engineering — giving AI the right information rather than cleverer wording — is the skill that matters now.
Menus did two jobs and we only ever complained about one. As AI removes them, discoverability stops being a layout problem and becomes a teaching one.
NotebookLM is now Gemini Notebook, and every notebook now gets a cloud computer that runs code on your documents. What changed and what to test first.