“For example, in the University of Texas experiments, a participant listened to the phrase, “I didn’t know whether to scream, cry or run away. Instead, I said, ‘Leave me alone!’”. The decoder translated this brain activity as, “Started to scream and cry, and then she just said, ‘I told you to leave me alone.’”.”
Hi, sorry if this is a repeated question on this subreddit but I want to know what is the monthly cheapest reasonable AI setup for myself. Basically im a "full stack developer" yea its lost its meaning but anyways I have like 5 projects with a company which is react laravel based (each in their own project folder thus i use file path to call them). Im at the stage where its bug fixing or sometimes new integrations with the already linked 5 apps. My current setup is the $20 per mont...
It's time to start learning advanced topics again and I thought it'd be at least interesting to take advantage of LLM's to help me learn better or faster. I've read here that some of you are using "socratic skills" where you give the LLM some content and then you get a series of questions in order to learn but I don't think it's the only approach to this. I'll start tackling the "Attention is all you need" paper and then I want to go deeper. What's your approach?
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It trains based off the mistakes it made with the solution you gave OR what it got. Thank you for reading
Comments URL: https://news.ycombinator.com/item?id=49139461
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Half my feed was either panicking or acting like they'd built a new company overnight. Big tech CEOs make it like this, but a new model release doesn't fix a business that has nothing underneath it. If your AI advantage evaporates every time a new model ships, you will have a hard time having a stable business. We run an internal research tool (we call it Scout) trained on a full year of our own company data like sales calls, delivery notes, and how we actually make decisions. It beats a...