I gathered innovation insights on solving personal problems and leveraging spares from Hidden Brain. I also discovered curl’s globbing and email support, explored Gemini prompt guides, and noted ESLint’s flat configuration changes regarding package.json.
I experimented with Gemini’s JSON ordering, GPT-4o Audio's tone control, and Microsoft’s LIDA for data viz. I also built an AutoHotkey script for ChatGPT, explored AssemblyScript for WASM, and reviewed Andrew Ng’s insights on agentic workflows.
I discovered Hermes 3's special reasoning tokens, Lumentis for transcript documentation, and the 27% reuse threshold for Anthropic’s prompt caching. I also noted that LLMs write better code in Markdown than JSON and explored Copilot's system prompt.
I discovered Anthropic’s condensed documentation, Gemini’s OpenAI-compatible API, and Alphafold 3's open-sourcing. I also learned about LLM attention sinks, compared Whisper and Gemini for transcription, and explored using Prefect as a lightweight alternative to Airflow.
I explored CSS nesting, AWS Lambda performance patterns, and how rain improved WiFi signals. I also learned about AI package hallucinations and summarized Paul Graham’s insights on using low standards and iteration to improve writing quality.
I share insights on Daniel Kahneman’s psychology, Git partial clones, and asset management. I also explore vibe-coding workflows, real-time LLM prompt refinement, and the shift toward computational action in programming education.