For all the talk of it replacing Google, sometimes I want a Korean joke (I'm Korean, damn it!) and not to be scolded by the digital personification of a thirty year old HR worker who took a couple of sociology classes (but not history, apparently) and happens to take up the cause of being offended for all people at all times throughout all of history. The take on ethics being a vague "non-offensiveness" while avoiding all of the real, major questions about ethics (like replacing human workers) with these kind of banal answers about "how we need to think seriously about it as a society" tells pretty much everything there is to know about what the ethical process at OpenAI looks like which is basically "let's not be in the news for having a racist chatbot".

If these were far leftists talking about the need to reduce human capability because of the climate they would be rightly derided as being eco-terrorists, and that's precisely what we should see these people as. Ultra-libertarian terrorists whose primary, unabashed goal is to enrich themselves at the cost of human society.

The data bias issue is about having way more samples of class X than of class Y, or class Y sharing an unknown but correlated feature (medical images with labels have this problem) that the developer doesn't identify, or any other number of "biases", like all the images being too bright, or taken with a camera that isn't identical to the one that's going to get deployed in production, etc., etc.

There are real issues that can be fixed / engineered / understood in terms of producing reliable output, and xAI absolutely helps with that! But for whatever reason journalists don't seem to understand that these systems need normal engineering safeguards, like any automated system, and bring it back to one poorly engineered model to talk about Big Bad Racist AI always denying loans based on race.

There is a massive marketplace for tinkering on computers, from Arduinos to multi-GPU ML rigs. Trying to optimize for both classes of things seems like a foolish endeavor, especially when Linux users represent such a small fraction of the desktop market.

Comments URL: https://news.ycombinator.com/item?id=22883820

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This strategy of demanding proof for something that is easily discoverable through any simple google search ("history of censorship") is such an exhausting argumentative tactic.

I wonder what it sounds like when it runs out of choices, or asked it to get a dinner reservation @ any evening at any time for the next two months.

The weirdest thing about these trained neural nets too is the small tweaks that break them in very interesting ways. The future is truly a surreal place.

There's a good community of folks over at https://www.reddit.com/r/Crostini/ who have been tinkering with this for quite some time.