ML Sleuth — detective with a neural magnifier
Case open · machine learning under the lens

ML SLEUTH

Uncover insights. Solve problems. Reveal the truth.

The detective of machine learning. Case files on AI claims and failures, real-world crimes touched by AI, and the evidence behind both — sourced, tested, and closed with a verdict.

🧠Machine Learningmodels on trial
📈Data Scienceevidence in the data
🌐Real World Solutionsverdicts that ship
The Beat

What Sleuth Investigates

🔍

Hype vs. Reality

Launch claims against what the receipts show. Verdict: Confirmed, Misleading, or Busted.

🗂️

Incident Case Files

Documented AI failures reconstructed from primary sources, end to end.

📊

Benchmark Forensics

Leaderboard games, data contamination, and eval sleight-of-hand.

🕵️

"Made by AI?"

Forensic breakdowns of viral images, videos, and voices — deepfakes debunked.

Chain of Custody

How a Case Gets Made

Step 01

You bring the case

A video, a claim, a piece of footage that smells wrong. Drop the link and why it doesn't add up — an email address is all we need.

Step 02

Sleuth investigates

Evidence pulled apart with machine learning and primary sources — court records, benchmarks, forensics, published research.

Step 03

The verdict lands

Confirmed, Misleading, or Busted — published as a case file here and as an episode on the channel, crediting whoever brought it in.

The Evidence Desk

New cases. Cold evidence. One verdict.

Seen something that doesn't add up? Bring the Sleuth the footage, the claim, or the mystery. The strongest submissions become full investigations on the channel.

// email only. no account needed. evidence first.