[OC] I transcribed 350 hours of top AI podcasts to grade their predictions. Here is the 2026 Reality Check on who is right, who is on track, and who was way too optimistic. Visualization

What This Visualization Shows

This data visualization displays "[OC] I transcribed 350 hours of top AI podcasts to grade their predictions. Here is the 2026 Reality Check on who is right, who is on track, and who was way too optimistic." and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on **Methodology & Tools:**

* **Audio:** Downloaded 110 episodes (Feb 2024 - Jan 2025) from 11 top podcasts (Dwarkesh, Latent Space, Lex Fridman, Cognitive Revolution, etc). * **Transcription:** Ran everything through local WhisperX on an RTX 4090. * **Diarization:** Used Pyannote 3.1 to figure out who was talking (so we didn't blame the host for a guest's crazy claim). Processing took \~8 hours. * **Extraction:** Built a keyword pipeline tracking phrases like "by 2025", "in five years", which flagged 140 candidate quotes. I manually reviewed those down to the 18 genuine, falsifiable predictions., which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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