If AI is “just copying humans” then what do we call human innovation, much of which copies nature? Why do we treat AI’s recombination of human ideas as “not real creation” when so many of our own inventions are recombinations of patterns already found in nature?
@jnrdaniel001@Emekaelenwoke@Wizarab10 I get you but that’s not really the point I was making. It’s less about outshining and more about what fits the current era. A classic like temptation might not hit the same for newer generations, not because it’s not great but because the general taste in music has shifted
@MichaelAsiedu_ IMO there’s no such thing as frontend/backend code. Code is code, and easy for any LLM to generate. Where you apply it is what determines the “-end” it used in
Backend systems are indeed complex, but I think the complexity lies in architecture, rather than in code
@benawad By 2032, ask a programmer with 10 years of experience how to perform a simple binary search and watch how the mind goes blank. As much as I like the enormous advancements in AI, I worry that human intelligence may decline
@thormiwa_04 Yeah, the M1 chip is great. Docker for ex runs faster compared to using an intel even tho there are so many issues with it. There’s still a long way to go actually, regarding some crippling compatibility issues and support for eGPU
@bindureddy I don't think so. From my experience, the approaches I use on Kaggle to create ML models are almost always the same approaches I use for practice outside Kaggle.
To those who do not know Mathematics it is difficult to get across a real feeling as to the beauty, the deepest beauty, of nature.
If you want to learn about nature, to appreciate nature, it is necessary to understand the language that she speaks in.