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λmelie
1.4K posts
λmelie
@Dispatch_Graph
Games, graphics, ML 🌙 | Ex intern Ubi/Quantic
19yo | France | he/him انضم Ocak 2025
924 يتبع1.4K المتابعون
@fungerman1145 What happens if you double down? Does he attack you?
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@Legend286UK Yep, helps a lot with overdraw, multiple materials, plays also very well with GPU-driven pipelines
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@Dispatch_Graph Are there actual benefits for vis buffer when you’re not doing deferred and don’t have nanite level geometry density?
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@beefysam211 You press on the little metal icon in xcode when your program is running and you click on the "capture" button
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@Dispatch_Graph Now the real question is, how do you debug the debug draw
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MacOS is the only operative system where somehow I manage to leak unfathomable amounts of memory every time I implement something new in the RHI, it's truly astounding.
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You do that by not giving in and just tell it "just do the work for me".
When I was learning basics of machine learning I used LLMs to clarify gradient descent and derivatives since it's high-school math concepts I didn't study for a bit. Now I understand it, even though I was completely new to it. Because my goal wasn't to just ship out bs code I didn't understand, but to actually learn the tech behind it.
For anything scientific, LLMs are useful if you have self-discipline and know how to ask the right questions.
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@SebAaltonen How do you ask the right questions,
If you are new the field or have the questioning skill you can't
Thats why text book had exercises at the end of each chapter, to bring out your gaps of understanding
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You can also use AI as your personal tutor. Ask all the stupid questions you never could ask in Stack Overflow. There's two paths: You use AI for continuous self improvement and understand what you are doing. Or you use AI to skip your work and never understand.
Rohan Paul@rohanpaul_ai
Anthropic's own study proves Vibe-Coding and AI coding assistants harm skill building. "AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average" Developers learning 1 new Python library scored 17% lower on tests when using AI. Delegating code generation to AI stops you from actually understanding the software. Using AI did not make the programmers statistically faster at completing tasks. Participants wasted time writing prompts instead of actually coding. Scores crashed below 40% when developers let AI write everything. Developers who only asked AI for simple concepts scored above 65%. Managers should not pressure engineers to use AI for endless productivity. Forcing top speed means workers lose the ability to debug systems later. ---- Paper Link – arxiv. org/abs/2601.20245 Paper Title: "How AI Impacts Skill Formation"
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