@arstechnica it doesn’t need work it needs a fundamental rethink of whether the technology makes sense outside of specific research or narrow use cases.
It should never have made it out of research labs or opt-in curiosities for technologists.
None of these details are interesting and almost aren’t even worth reporting on.
This is a stupid, stupid bubble and saying they need to work on parts of it is like saying we’re close but just need refinement which is concretely untrue.
He puts into clear terms what had previously been an unarticulated, creeping suspicion I had about #GenAI. Clearly there are many angles from which to come at what's going on with #AI#hype , but I appreciate this one quite a bit.
FreeCodeCamp released today a new course for fine tuning LLM models. The course, by Krish Naik, focuses on different tuning methods such as QLORA, LORA, and Quantization using different models such as Llama2, Gradient, and Google Gemma model.
It’s nauseating that the hyperscalers are crankin’ the carbon to inflate the AI bubble like there’s no tomorrow (which there won’t be, for my children, if we don’t cut back) but hey, don’t forget that Bitcoin is still in the running for the single most dangerous-to-the-planet use of computers.
🔥 How DeviantArt died: A.I. and greed turned a once-thriving community into a ghost town | Slate
"Generate a bunch of free images and accounts, have them buy and boost one another in perpetuity, inflate metrics so that the “art” gets boosted by DeviantArt and reaches real humans, then watch the money pile up from DeviantArt revenue-sharing programs. Rinse, repeat."