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AI research, explained properly. Every video here is built from the actual papers. The numbers on screen are read off the tables and figures, including the ones that make the result look worse - because a benchmark a method loses is usually the most interesting part of it. No hype cycle, no "this changes everything", no reading a press release aloud. Just what the paper claims, what it measured, where it breaks, and whether you can run it today. What you'll find here: - Paper breakdowns, one idea taken apart properly - Short series, the same story in two-minute episodes - Honest limitations: what does not work yet, and why Topics: efficient inference, quantization, model architecture, local LLMs, and the gap between what research demonstrates and what hardware can actually run. Subscribe if you want the next one. Narration on this channel is a synthetic voice.
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Joined July 17, 2026
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