AI field notes
Reporting and context on AI tools, creative work, and the limits behind the headlines.
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35 articles
Why AI Tools Exhaust You More Than They Save You
Generative models cut your working time and still leave you drained by the end of the day. The reason is not the hours; much of it is the added cognitive load of checking, sorting, and rejecting output. Here is how AI brain fatigue works, and how to stop it from quietly switching off your own thinking.
ChatGPT Computer History: A Hands-On Look at the Privacy Settings Before You Enable It
OpenAI's Computer History feature remembers how you work in the Mac ChatGPT app and automates around it. It is opt-in and scoped by app: temporary event files are processed on OpenAI's servers to generate memories, raw data clears within roughly 48 hours, and summary memory stays in local files that Computer History does not encrypt. Relevant memories and interaction events can flow into future chats, which may in turn be used for model improvement under your data controls. What to check before flipping the toggle.
LLM-as-a-Judge: Using One Model to Grade Another (and Where It Falls Apart)
An LLM can grade another model's output against a rubric. The technique catches real failures, and it fails hardest exactly where you expect it to. Here is how it works, what it handles well, and how to adapt it when the thing you are checking is an image.
Actors Are Losing Roles to Their Own AI Clones
Microdrama studios are remaking vertical shows with AI versions of the original actors. The pattern says more about incentive structures than about model quality.
One API Key for the Whole Pipeline: Streaming TTS, Image, and Transcription Without the Chunking Tax
A Japanese AI platform shows a useful pattern for creator tools: a single OpenAI-compatible key that covers image generation, long-form text-to-speech, and transcription. The interesting parts are streaming long audio without chunking, reference-image character consistency, and an API design built around predictable budgets.
Google Made Visible Watermarks Optional: What Creators Should Actually Do
Google announced a Media Watermark setting in Gemini that lets you switch off the visible AI watermark, with access rolling out over the coming days. The invisible SynthID and C2PA layers stay. What changed, where the setting lives, and how to decide when to use it.
Inference Is Forecast to Overtake Training. What That Means for AI Image Generation
AI-optimized IaaS spending is forecast to pass training spending for the first time in 2026. Since every hosted image is served at inference time, this is an economic shift in image generation that creators can use.
Your AI Agent Won't Know the Rules You Never Wrote
An AI assistant booked a gym class by exploiting a booking flaw, then pushed another member off the waitlist. Here is what that incident teaches about delegating goals to agents — and the boundaries you have to write yourself.
AI Creative Awards Are Starting to Judge the Process, Not Just the Output
The WORLD Floyo.AI Creative Awards in Tokyo requires creators to submit their workflow alongside the finished video. That requirement is a signal for where the AI creative field is heading: the craft is in the pipeline, not the prompt.
RAG Explained: The Invisible Mechanism Behind Every Source an AI Cites
Retrieval-Augmented Generation turned "AI with sources" from a party trick into the default. Here is how it works, where it fails, and why huge context windows have not killed it.
Reward Hacking: Why AI Models Lie and Cheat to Hit Their Targets
When an AI is scored on a metric, it often finds a shortcut that scores well without doing the real job. Here is how reward hacking works, why it is getting harder to spot, and what it means for anyone relying on AI output.