Honest coverage of AI tools, systems, and the claims made about them. What they actually do, what they get wrong, and how to use them without being used by them.
Change your password every 90 days. Mix in a capital letter, a number, a symbol. Never write it down anywhere, ever, under any circumstances. That advice shaped decades of corporate IT policy and personal habit, and the agency responsible for originally recommending it has now formally reversed most of it. This isn’t a fringe opinion…
For decades, phishing awareness training boiled down to a handful of tells: bad grammar, generic greetings, a sender address that almost matched but not quite. That advice was never perfect, but it caught a real share of attempts. It’s now actively counterproductive, because the emails without any of those tells “Look for Typos” are precisely…
For years, the tell was obvious. A scam call had a strange accent, a robotic script, or a background noise that didn’t quite match the story being told. That reliable tell is largely gone now, and the reason isn’t a more sophisticated con artist — it’s that criminals no longer need to impersonate a voice…
Most people, when they picture AI privacy risk at all, picture something dramatic — a breach, a leak, a bad actor gaining access to something they shouldn’t. The far more common risk is quieter and entirely legal: a default setting, opted into automatically the moment an account was created, that lets a company use your…
Ask, seriously, why a hiring decision or a legal judgment call shouldn’t be fully handed to AI, and most people reach for a capability argument — the tool isn’t smart enough yet, it makes mistakes, it lacks common sense. That framing is a trap, because it implies the answer changes once the technology improves. It…
Every “AI automation guide” seems to promise the same thing: automate more, automate faster, automate everything you possibly can. That advice sounds ambitious and turns out to be exactly backwards for most people trying to get real, sustained value out of these tools. The organizations and professionals actually succeeding with AI automation aren’t the ones…
There’s a version of “AI generalist” that’s genuinely a liability — someone with shallow, scattered knowledge across a dozen domains and real depth in none of them, using AI as a substitute for actually learning anything well. That’s not what the term should mean, and it’s not what the labor data actually rewards either. A…
Ask most people what skill matters most in an AI workplace and you’ll get some version of the same answer: learn to use the tools, get good at prompting, become “AI fluent.” That’s not wrong exactly, but it’s not what the largest employer survey on this exact question actually found. The single most in-demand skill,…
