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I've been in AI research since the mid-2010s. Post-AlexNet, but to me the field still felt fun and exciting. Nobody knew if what we were attempting was even possible. After ChatGPT, many "could be impossible" problems…
- Reverse Engineering RollerCoaster Tycoon [video] (youtube.com)
- Roller Coaster Sequencing Theory (rollercoasterphilosophy.com)
- The Lie That Helped Build Nintendo (ign.com)
- How Graphics Worked on the Nintendo Game Boy (youtube.com)
- Reverse engineering a simple CMOS chip (youtube.com)
- Stack Exchange: Come Take a Look at Our New Contributor Indicator (meta.stackexchange.com)
- A Global Optimization Algorithm Worth Using (blog.dlib.net)
- A Global Optimization Algorithm Worth Using (blog.dlib.net)
- Toyota Invests $1B in AI and Robots, Will Open R&D Lab in Silicon Valley (spectrum.ieee.org)
- Particle Filter Explained Without Equations (youtube.com)
- Programming Control Flow Style Survey (surveymonkey.com)
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Alan Perlis's Epigrams on Programming[1] are often repeated but less often analyzed. Maybe he was saying that humans tend towards emotions and imprecise thoughts, and we must squash that tendency to become good…
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I work at a big software company that treats its workers well. My product is well-respected in its niche, and I'm working on features that will make our customers happy. Nonetheless, I find it almost impossible to give…
- Markov-generated Spring class names: Can you guess which is real? (java.metagno.me)
- Why you don't want an online mode (polygon.com)