JavaScript
high-level programming language
Episodes
-
#5813: How Python Became AI's Default LanguagePython was never designed for science. So how did a general-purpose scripting language end up carrying the entire AI industry?Main topic -
#5256: Ruby Won the AI Benchmark. Is It Dying Anyway?97% of public Ruby repos sat untouched for six months — yet Ruby beat Python in an AI coding benchmark. What's actually declining?Main topic -
#5818: 46,434 Mailing Lists That Still WorkDaniel wants a public town hall. Turns out the oldest tool on the internet — the mailing list — might be the right one. -
#5799: Two Agents, One Approval Gate: Wiring a Dictation WorkflowA dictated prompt becomes an episode — if one agent resolves facts, a second tightens prose, and a human approves the dispatch. -
#5777: Lorebooks: The Hobbyist RAG That Beat the LabsHow a chat frontend fork built a full retrieval system — keywords, vectors, recursion — so fictional characters would stop forgetting who they are. -
#5622: Why Talking to AI Feels Easier Than Using ItChatGPT split into Chat and Work. A broken label printer shows why conversation beats menus — and what's hiding under the hood. -
#5488: How Emoji Went From 176 Characters to 3,600From a 176-character set built for Japanese pagers to a 3,600-character Unicode standard — and why your emoji breaks in production. -
#5487: Why Your Spreadsheet Mangles José's NameA deep dive into character sets, from ASCII to UTF-8, and why José becomes "José" in your spreadsheet. -
#5416: Xet, Buckets, and Auto-Pulling Model WeightsHugging Face swapped its storage backend to Xet with barely a ripple. So why can't a bucket auto-pull new upstream weights? -
#5276: Who Really Invented the Gantt Chart?Karol Adamiecki built it in 1896 — in Polish. Henry Gantt got the name. And why critical path analysis still catches what humans miss.