Thanks for the replies, I guess the “good” was vague on purpose, to see how people interpret it…
This popped up on one of my feeds today and I saved it, can’t remember from where, it’s relevant to the above so sharing here: https://oneproject.org/ai-commons/ (AI Commons: nourishing alternatives to Big Tech monoculture).
They talk about AI for good, at some point they mention how the term is sometimes used just for marketing.
I don’t know if this is the right place to ask, but a friend from the field is wondering if there are any examples of good AI companies out there? With AI not meaning LLM companies. Thanks!
Nuclear security? Should be fine, as long as it doesn’t involve counting letters in any words.
Knowledge distilation is training a smaller model to mimic the outputs of a larger model. You don’t need to use the same training set that was used to train the larger model (the whole internet or whatever they used for chatgpt), but can use a transfer set.
Here’s a reference: Hinton, Geoffrey. “Distilling the Knowledge in a Neural Network.” arXiv preprint arXiv:1503.02531 (2015)., https://arxiv.org/pdf/1503.02531
OpenAI whistleblower found dead in San Francisco apartment.
Thread on r/technology.
edited to add:
From his personal website: When does generative AI qualify for fair use?
Just received a newsletter from Mystery AI Hype Theater 3000 about their book The AI Con - How to Fight Big Tech’s Hype and Create the Future We Want being available for preorder. I’m looking forward to it!
Hi, I’m new here. I mean, I’ve been reading but I haven’t commented before.
I’m sure you all know about how cheap labour is used for labelling data for training “AI” systems, but I just came across this video and wanted to share. Apologies if it has already been posted: Training AI takes heavy toll on Kenyans working for $2 an hour.
… but the output is not deterministic as the letter count is sampled from a distribution of possible letter counts for a given word and letter pair; count ~ p(count | word = “blueberry”, letter = ‘b’)!