A portmanteau of "tactical" and "cool". Describes equipment, clothing, or cars that evokes a military aesthetic (e.g. being all black or camo, having straps, velcro patches, tactical rails, an "angry face" or huge tires for cars, combat boots in general). Tacticool things are usually used by people who think they're the main character or would have any chance in a real fight, or are just misanthropic in general and want to feel safe from like. trans people or whatever.
Wannabe vigilantes buy tacticool cars that are extremely dangerous to pedestrians
According to online resources, a "real" IMAX screen is a screen that is totally "immersive" and fills your field of vision. A "fake" IMAX screen, or Liemax, is a screen that is branded "IMAX" the same as giant screens, but is not that much larger than regular movie screens, and does not fill your field of vision. Thus, it's just another rip-off for your bucks.
Checkfor real IMAX theaters and Liemax theaters on Google maps before you go out and purchase a ticket!
an ego laden interaction usually (although not always) involving men where each individual tries to out do the the other in knowledge and or acheivements. Often seen in corporate settings and family get-togethers
Fuck me! That was a waste of time. I actually thought we could getsomething done at this meeting. Instead it turned into a Dick Swinging Contest!
vibe-coding /vīb-kō-diNG/
noun
A programming methodology in which developers with Computer Science degrees outsource their jobs to AI while charging clients $200/hour for their "expertise." It involves typing vague descriptions into GitHub Copilot and then debugging the resulting code while pretending you understood what was happening all along. Karpath was right - coding using jazz method is instant FLOW.
"Dave spent three weeks vibe coding a basic inventory app, which is impressive considering it would have taken him two days if he'd just written it himself."
Most commonly observed in open-plan offices where practitioners dramatically frown at error messages they don't understand before asking the AI to fix its own mistakes. Success is measured not by code quality but by how convincingly one can explain in meetings that the obscure bugs were "interesting edge cases" rather than "I have no idea what this code actually does."