How LLMs Come Into Being: A Beginner-Friendly Guide to Data, Tokens, Training, and Inference
A beginner-friendly but detailed guide to how large language models are built, trained, aligned, and run in production.
A beginner-friendly but detailed guide to how large language models are built, trained, aligned, and run in production.
How remote work made voice-first coding practical for me, where it breaks down in open offices, and why I still review every transcribed prompt before sending it.
A practical look at which AI tools I adopted from late 2021 to early 2026 and what changed my day-to-day coding.
Use Git worktrees to run multiple AI coding tasks on one repository without branch-switch friction.
An opinionated case that AGI effectively arrived in 2025 for mainstream knowledge work, and why arguing definitions now distracts from deployment and governance.
An opinionated look at why AI tutoring and workplace copilots are creating always-on education, plus the strongest evidence for and against the trend.
Why each great economic and technological revolution arrives faster than the last, and why AI may be the most disruptive yet.
As AI scales, energy, not algorithms, may become the limiting factor. A high-level look at today’s constraints and how they could be overcome.