Ki-Hype

What ML Veterans With 10+ Years of Experience Think You’re Getting Wrong About AI TL;DR A thread on r/MachineLearning asking experienced practitioners what the public misunderstands about machine learning generated 231 comments and a community score of 204 — signaling strong, broad agreement that this conversation is long overdue. The ML community has a very different mental model of AI than the one portrayed in mainstream media. If you’ve been forming opinions about AI from news headlines, YouTube hype videos, or press releases, there’s a good chance your mental model is wrong in ways that matter. This article breaks down what a thread full of decade-plus veterans is pointing at — and why you should read it yourself. ...

AI Hype vs. Reality: What’s Actually Behind the Buzzwords TL;DR A new tool called Extra-steps.dev is trying to cut through AI marketing noise by mapping hyped AI concepts directly to their underlying computer science primitives. The idea is simple but potentially powerful: instead of letting vendors dazzle you with buzzwords, you can trace every claim back to foundational CS concepts you already understand. It surfaced on Hacker News with modest but notable attention. If you’ve ever rolled your eyes at an AI pitch deck, this one’s for you. ...