61–70 of 72 posts
Spend less time on social media, and the internet in general
But I /love/ the Internet, I've been here since the very beginning. It's like seeing your home town get run down and turned into a dumpster.
And the second type of AI fatigue isn't even about the AI technology itself, but it seems like at the same time that people adopt AI in their workflows they often seem to raise their tolerance for made up nonsense. That's not really a problem with AI because we ought to maintain quality standards no matter what tools we use, but so many people were willing to forfeit quality for volume and convenience at the same time as using AI.
It's funny how so many people are in your situation about to lose it over AI while I'm sitting here waiting for AI/LLMs to affect my life..like..at all. I seriously can't think of one major experience, positive or negative, that I have with AI in my day to day life. > being bombarded with tons of AI-written books, pornography, music, video, audio, images I don't come across any of these unless I am very actively look…
Earlier quoted context omitted.
>> being bombarded with tons of AI-written books, pornography, music, video, audio, images > I don't come across any of these unless I am very actively looking for them. AI generated "hero" images are pretty common on blogs and other blog-like sites. I run into them all the time by just clicking links on HN. "AI" generated garbage has made me both more blind to them and more annoyed by the whole concept of a "hero" i…
I'm starting to see a pattern around people that freak out about AI generated hero images. They aren't great most of the times but going out of your way to discuss the use of the image in a post (here in HN for example) is high-level pedantry. The (go to) alternative for the authors would be a post without images which is by no means any better.
Earlier quoted context omitted.
Species go extinct all the time, there are always very unadaptable species around and most of them go extinct pretty soon after they become unadaptable because environments change all the time in the grander scale of things.
Right, fitness can only be understood in the context an organism is in at the time. There is no long term plan. An adaptable organism might stay around for longer - or it might be outcompeted in the short term by less adaptable organisms.
Sure, “survival of the fittest” in the short term is obvious, but it’s hardly worth pointing out.
Everything changes, nothing is forever. It's a hard truth, but the more capable you are of accepting and rolling with it, the better your life will be. I've heard it said that the tagline for the theory of evolution should really be "survival of the most adaptable " , and I think that applies at every level, from the species, to the culture, to the subculture, to the family, and finally, the individual. If the intern…
1) everything that’s already in the world when you’re born is just normal;
2) anything that gets invented between then and before you turn thirty is incredibly exciting and creative and with any luck you can make a career out of it;
3) anything that gets invented after you’re thirty is against the natural order of things and the beginning of the end of civilisation as we know it until it’s been around for about ten years when it gradually turns out to be alright really.
Apply this list to movies, rock music, word processors and mobile phones to work out how old you are.
-- Douglas Adams, "How to Stop Worrying and Learn to Love the Internet"
From a technical perspective, I do not enjoy RAG prompt engineering. It is so brittle and non-formal, and the barriers of entry are extremely low. There is a complete trifercation of ML: 1. ML Engineers: the high priests, with access to 10K GPU hours, designing novel Transformer architectures using Tensorflow / PyTorch / JAX. 2. Data Scientists: conducting SFT on pre-trained models via the HuggingFace APIs + MLOps &…
I concur, after LeCun gave the warning to PhD students to steer clear of LLMs I heeded it and can say my career is better as a result: why compete/join a hype cycle if you can help solve foundational problems.