https://www.softwareheritage.org/wp-content/uploads/2019/07/...

Even with these examples that seems like a very narrow use case.

It fills me with a deep sadness that we created deterministic machines then, though laziness, exploit every opportunity to "contaminate" them with sloppy practices that make them produce output with the same fuzzy inaccuracy as human brains.

Old man yells a neural networks take: We're entering a "The Machine Stops" era where nobody is going to know how to formulate basic algorithms.

"We need to add some numbers. Let's point a camera at the input, OCR it, then feed it to an LLM that 'knows math'. Then we don't have to figure out an algorithm to add numbers."

I wish compute "cost" more so people would be forced to actually make efficient use of hardware. Sadly, I think it'll take mass societal and infrastructure collapse for that to happen. Until it does, though, let the excess compute flow freely!

That doesn't hold for any of the GPU-based solutions, last time I checked.

VLLM hallucination is a blocker for my use case.

I can also imagine plenty of YouTube tutorials that type the code live... seems fairly useful

This is nightmare for endpoint protection. Imagine rogue employees snapping pics of your proprietary codebase and then using this to reassemble it.