A model that honestly says it doesn’t know what will happen is not necessarily a bad model. Even with all the data, many things are hard to predict. We have to stop believing data is enough.
When you find a 464-view YouTube video that explains the exact obscure sump pump configuration you're working on and the stock music soundtrack goes unbelievably hard:
I asked chatGPT to create 8-bit/pixelated versions of ancient landmarks and cities in DALL·E 3. The results are insane.
1. The Hanging Gardens of Babylon
@mikpanko if you can't express what you want in words, no amount of clicking will get you the right answer
if you can express it in words, it's not a big leap to express it in code
New on the blog: a framework for going from problem to decision with data, including my 'auditioning' method for figuring out the right data, which has saved me many hours!
https://t.co/ogjJEYWTAv
@renegadesilicon keep up the good fight, the makers of GPTZeroX (and tools like it) have a responsibility to educate the public on the risks and limitations of their tool, and we as members of the ML community must continue to raise the alarm until they do so
extremely irresponsible to release a tool like this without providing any information on its false positive rate
how many students will be falsely accused of plagiarism because their educator used GPTZeroX and believed it would "Detect AI Plagiarism. Accurately" as it claims?