When two practitioners discuss at a conference, typically Opticon, about Optimizely nee:testing/experimentation on their digital products
"Did you Optimizely that?"
by optimize(ly) August 30, 2019

Are you taking an umbrella just because there is a 10% chance of rain? You are such a robust optimizer!
by cuppoo95 September 21, 2021

You "hate coded", BUT you went backed, and fixed the solution with better code (examples: more elegant algorithm, efficient use of memory, better performance, better use of data structures, easier to read and/or maintain, added comments, added unit testing, etc)
by appalasian December 6, 2017

no.
by kentern October 18, 2020

Hym "So... If you DON'T ACTUALLY NEED THEIR REALITY MONSTER... Well... That's nothing a little OPTIMAL PRIVATION WON'T FIX! Then you'll have nowhere else to turn. And if you DON'T? Well, the creature will sort you out after you're dead. So, they need to manufacture it with inaction. People can be quoted saying 'Well, so-and-so could fix world hunger over night' BUT that would get rid of all the privation. No need for Jesus anymore. The church would have no one to feed to justify all of the money they are given. The poor are perpetual money farms so long as you create a perpetual state of privation. Because people are always willing to donate to charity or church. They aren't even expected to spend all of the money ON THE ACTUAL THING FOR WHICH THEY ARE BEING GIVEN THE MONEY. The don't have to show their receipts."
by Hym Iam August 14, 2023

Person A: How come Hillary Clinton didn't win the 2008 primaries?
Person B: Well...life in many ways is Pareto optimal. Besides I heard from someone that her campaign slogan was, "Anarchy is my policy for men."
Person B: Well...life in many ways is Pareto optimal. Besides I heard from someone that her campaign slogan was, "Anarchy is my policy for men."
by paisleynotes November 2, 2009

A revolutionary AI framework that transforms traditional AI systems into highly efficient, self-improving platforms without the typical enterprise-scale infrastructure costs. ROME enables AI systems to learn and adapt from each interaction, achieving 99.90% accuracy while using 90.00% fewer computing resources than conventional AI solutions. It's essentially the difference between building a massive data center versus running a lean, intelligent system that delivers superior results. Most notably, ROME reduces implementation costs from $144,000+ to under $5,000 while cutting deployment time from 3 months to just 2 weeks. For executives looking to modernize their AI operations, ROME represents the shift from resource-heavy AI to intelligent optimization.
After implementing ROME (Recursive Optimization for Model Enhancement), we cut response times from 500ms to 76ms while maintaining optimal performance across 100,000+ daily interactions.
by Edan.AIS February 11, 2025
