31–40 of 69 posts
Clicked on the second one and was immediately presented with a course to teach me how to use this fancy new AI-powered technology to revolutionize my business! Puts a certain taste in my mouth.
Marketers learned to sell shovels. Understanding their business model is important.
On the other hand, almost everything shown here either generic or crap (or both).
I'm happy that chatgpt writes boilerplate code for me so that I don't have to but I'm not seeing the revolution yet.
Earlier quoted context omitted.
> Those imagined computers now look more like upgrades to current technology. I still don't get that argument. You can train a parrot for a week and he'll talk a few words, training it for a year won't make him become Shakespeare, LLMs will never ever automagically evolve into these AGI tier computers, not even their creators argue that, no one besides techbros argue that in fact.
I can, right now, have GPT 4 write me sonnets on any topic. We are already beyond mere parroting. People say "it's just parroting what it's heard"! But did GPT4's training data really include a sonnet about Minecraft creepers? So they're not parroting. They're parroting PLUS something else. Plus some kind of analysis and transformation. Your claim is that this transformation is superficial and won't become deeper as…
It's wrong > 50% of the time for anything semi complex and semi niche, that's not AGI, no one in the field of AI argue it's AGI, only people on twitter and reddit with absolutely no background in tech and/or AI argue it's AGI
It's a very very very good chatbot, built with very very impressive technology and amount of data, which is already quite impressive and definitely a big milestone, it's not AGI, not even close
It's like saying the leather auger of my swiss army knife is a step towards an aerospace grade titanium cutting CNC machine
I built a web app that lets you generate simple, shareable web apps just by prompting with GPT4. https://picoapps.xyz Here are some cool apps people have built with it: read aloud a wikipedia article: https://backend-pico.onrender.com/northeast-architect matrix animation: https://backend-pico.onrender.com/chair-northeast face distorter: https://backend-pico.onrender.com/drench-virtual simple excel: https://backend-pi…
I'm doing something similar but for backend.
Is picoapps frontend-only for now or do you generate both the front and enough of a backend to eg save what the user creates?
This current moment is super impressive, but the output of the models is still mediocre. I worry that over the next 12-24 months, we'll be overwhelmed with autogenerated content (docs, apps, games, news) that gets a B- or C. Once the novelty wears off, no one wants to play your [terrible] autogenerated asteroid clone. There are a lot of startups that are two LLMs in a trench coat, and they will not be able to improve…
There's already more good content than I could possibly consume in my lifetime, and all this automatically generated stuff is just going to make it harder to find.
Clicked on the second one and was immediately presented with a course to teach me how to use this fancy new AI-powered technology to revolutionize my business! Puts a certain taste in my mouth.
This current moment is super impressive, but the output of the models is still mediocre. I worry that over the next 12-24 months, we'll be overwhelmed with autogenerated content (docs, apps, games, news) that gets a B- or C. Once the novelty wears off, no one wants to play your [terrible] autogenerated asteroid clone. There are a lot of startups that are two LLMs in a trench coat, and they will not be able to improve…
I've never read a better explanation for why "we will never have AGI." As the objective quality of AI output increases, we simply value it less.
Clicked on the second one and was immediately presented with a course to teach me how to use this fancy new AI-powered technology to revolutionize my business! Puts a certain taste in my mouth.
- Customer support chatbot. Convert knowledge base and other materials to q&a form with gpt4. Ada2 embeddings, search for questions in repository with faiss, ask gpt4 to answer. Works a lot better than standard "search with embeddings in KnowledgeBase". - Parsing out and standardizing insurance descriptions, Excels, schedules of values - Parsing out and standardizing documents like building permits, claims
For industries that have a lot of text format and can deal with some degree of statistical error as long as averages are better it's massive
Earlier quoted context omitted.
> Those imagined computers now look more like upgrades to current technology. I still don't get that argument. You can train a parrot for a week and he'll talk a few words, training it for a year won't make him become Shakespeare, LLMs will never ever automagically evolve into these AGI tier computers, not even their creators argue that, no one besides techbros argue that in fact.
I've been noticing this pattern on HN where someone analogizes current generation LLMs to parrots while simultaneously claiming to know the future of LLMs without any justification. Am I a "techbro" because I don't believe that we know much about what the future of LLMs has in store for us, or because I find the parrot analogy to be utterly specious?