Filtering AI Hype

AI hype follows predictable patterns: cherry-picked demos that don't reflect typical performance, benchmark scores without methodology context, "could" and "might" hedged claims reported as fact, and impressive-sounding capabilities without real-world validation.

Key filters: What's the eval methodology? (Controlled vs. cherry-picked?), Does this replicate? (Can others reproduce the claimed results?), What does failure look like? (Every demo shows success, what breaks it?), Who's the source? (Company PR vs. independent researchers vs. peer-reviewed), What's the baseline? (How much better than the previous approach?).