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Not dishonest if you verify everything and understand it deeply but you should be transparent about your AI use since many universities care more about disclosure than the method itself.

Makes sense Wikipedia runs on verifiable truth, and unchecked LLM content blurs that line too easily.


OpenCode feels like the “open-source Copilot agent” moment the more control, hackability, and no black-box lock-in.


Exact K-Means but actually practical—faster, leaner, and finally scalable without approximation trade-offs.


It’d turn Python from a dev-friendly language into a true deployment powerhouse with no env hell, just ship and run.


Treat LLMs like smart interns useful, fast, but always double-check anything that actually matters.


It seems like a natural progression affiliate marketing is now really just prompt engineering combined with distribution.


Promising impact, but in regulated domains like mortgages, the real challenge isn’t speed, it’s proving reliability and auditability at scale


I really love this, it's a smart and practical idea to turn the frustrating failures of AI in the real world into a learning game.


That’s a great idea! It seems like we’re already running into 'tooling sprawl' with AI agents, and this is a good move to help manage it.


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