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Das's Law of Optimism/Pessimism

The glass is twice as big as it needs to be. Get there.
Das's Law of Optimism/Pessimism is derived from something said by George Carlin. It explains that sometimes you expect too much of yourself and it gets you down in life.
by Mindbladeskillyaks June 16, 2010
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hate coded and optimized

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)
I solved day 3 of the Advent of Code, and I hate coded and optimized a solution.
by appalasian December 6, 2017
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Rickshaw’s Optimum Theorem

Rickshaw's Optimum Theorem states that at any moment of lethargy, regardless of anticipation or willingness, shall productivity invariably be inferior to that of complete inaction.
By Rickshaw’s Optimum Theorem, I should do this leave this assignment for tomorrow as I am very tired.
by Victor Akhmetzyanov October 1, 2024
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ROME (Recursive Optimization for Model Enhancement)

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
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