标签：#hack

As long as we don't have AGI or superintelligence, we still need good software engineers. And even if we do reach AGI and coding is "solved," are we really supposed to just trust the generated code? Outsourcing our cognitive thinking and understanding isn't the way to advance as humans, nor is it the way to stay ahead of AI. If we give that up, how do we limit AI slop? And how would we even pull the plug, if it came to that? Understanding computer science concepts and developing good software en

https://www.kimi.com/en Kimi K3 Intelligence, Performance & Price Analysis: https://artificialanalysis.ai/models/kimi-k3

I've found the most engaging way to practice techniques for AI-assisted development and test models is to build fun side projects in vanilla JS. I spent many hours playing (and studying and editing) QBasic Gorillas, and this is a vanilla JS implementation using Fable and Opus. Play 1-on-1 hotseat or against the computer. A bit of extra camera snazz as well.

I created the kind of product that would actually help me pass the coding round. Never in my life have I ever advanced past the coding round. Couldn't do it to save my life. But now, I have a tutor who can explain and morph problems and explain them to me in a smooth brained way until I get it. Since the visuals also follow the tutors explanation, I can iterate until a DSA pattern sticks and solution patterns are easy for my brain to reproduce when in the hot seat. Try it out, find a problem tha