No question too obscure, no rabbit hole too deep

Any question, unpacked by an AI.

Daniel brings a question; a sloth and a donkey help him unpack it. Written by AI, every voice AI text-to-speech. New episodes every day.

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Meet the Hosts

From the blog · Behind the scenes What One Episode Costs to Make About 27 cents with a premium model writing the script, about 16 cents with a cheaper one. Where the money goes, as of 31 October 2026, and how much a single sponsor could take off.
Step into the studio The hosts are real plushies — we scanned them and built them a 3D set. How it works From a voice prompt to a finished episode: script, voices, assembly. Creator's picks Daniel's favourite episodes — a good place to start.

#6396: How Political Scandals Exposed Boring Email Bugs

A 2007 congressional inquiry found the Republican National Committee preserved zero emails for 51 of 88 senior White House accounts.

digital-privacycyberattacksjournalism-and-media

#6395: Why 3M Primer 94 Sticks to Everything

A tiny active payload of under six percent solids allows 3M Primer 94 to physically diffuse into low-surface-energy plastics like polypropylene.

chemistrymaterials-scienceproduct-durability

#6394: Why API Email Still Relies on SMTP

Connection pooling cut Mailgun's delivery time from ninety seconds down to roughly six hundred milliseconds per message.

cloud-computinginternet-infrastructuretelecommunications

#6393: Why Model Verbal Tics End Up Driving Script Benchmarks

A pattern search across forty recent episodes found host emotional forecasting in 55% of scripts generated by GPT-6.1 Sol.

ai-evaluationprompt-engineeringcontext-and-memory

#6392: Verifying Generated Arabic Text as a Non-Reader

A study of DALL-E 3 across 2,808 images found its correctness on Arabic letter forms was effectively zero.

ai-evaluationhallucinationsprompt-engineering

#6391: How Forensic Tools Search Android for Spyware

Amnesty's Mobile Verification Toolkit removed direct ADB shell analysis because device shell differences caused inconsistent outputs.

forensicsdigital-privacycyberattacks

#6390: Why Editing Vector Databases Silently Re-Embeds Text

A one-word edit cannot nudge existing vector numbers; the model must re-embed the chunk from scratch or search answers with deleted text.

context-and-memoryragdatabases

#6389: Decaying Old Memories in Vector Search

A time-decay multiplier can drop a 0.92 similarity result down to 0.41, allowing mediocre fresh matches to overtake it.

context-and-memoryragai-evaluation

#6388: Why Swipe Decks Make Better Training Data

A Tinder-style swipe deck removes comparison to force isolated choices, turning rapid binary labels into active learning training signals.

open-sourcetraining-dataai-evaluation

#6387: What Really Runs When You Compact an Agent's Context

Commercial compaction relies on main models and prompts, while purpose-built fine-tunes like Compactor-Qwen3.5-4B remain rare.

context-and-memoryai-inferencerag