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what strikes me about these posts is they praise models for apps | utilities commonly found on GitHub. ie well known paths based on training data. what's neve
by dzonga 10mo ago
what strikes me about these posts is they praise models for apps | utilities commonly found on GitHub.
ie well known paths based on training data.
what's never posted is someone building something that solves a real problem in the real world - that deals with messy data | interfaces.
I like a.i to do the common routine tasks that I don't like to do like apply tailwind styles but being renter and faking productivity that's not it
- nirolo 10mo agoI used it with gemini 3 in tandem to build an app to simulate thermal bridges because I want to insulate a house. I explored this in various directions and there are some functionalities not completed or sound, but the main part is good and tested against ISO/DIN test cases for this kind of problem. You can try it here, although the numeric simulations take quite a while in the cloud app https://thermal-bridge.streamlit.app/ https://thermal-bridge.streamlit.app/ Disclaimer: I'm not a programmer or software engineer. I have a background in physics and understand some scripting in python and basic git. The code is messy at the moment because I explored/am still exploring to port it to another framework/language