51–60 of 139 posts
Also, Google SERP page is deterministic (always has the same structure for the same kind of queries), so it would probably be much more effective to use AI to write a parser, and then refine it and use that?
Earlier quoted context omitted.
I hear it should be dropped this summer
According to Sam Altman in a podcast with Lex Fridman this week, there is no real indication that it will be dropped this year. They will release a new model, but it might not be GPT-5
A bit off-topic but maybe not? Any words on GPT-5? Is that coming? Or is OpenAI just focusing on the Sora model?
There's no reason for OpenAI to release the model. They have close to 100% market anyways and releasing GPT-5 likely won't increase the total market as it is a incremental leap. And it's a open secret that most other models used GPT-4 synthetic data for training to come close to it. They would likely wait till any model performs better than GPT 4 for the same price
A bit off-topic but maybe not? Any words on GPT-5? Is that coming? Or is OpenAI just focusing on the Sora model?
There's no reason for OpenAI to release the model. They have close to 100% market anyways and releasing GPT-5 likely won't increase the total market as it is a incremental leap. And it's a open secret that most other models used GPT-4 synthetic data for training to come close to it. They would likely wait till any model performs better than GPT 4 for the same price
Earlier quoted context omitted.
If I ask an LLM a very complex and specific question 500 times, if it just doesn't know the facts you'll still get the wrong answer 500 times. That's understandable. The real problem is when the AI lies/hallucinates another answer with confidence instead of saying "I don't know".
The weird problem is with LLM hallucinations is that it usually will acknowledge its mistake and correct itself if you call it out. My question is why can't LLMs included a sub-routine to check itself before answering. Simply asking itself something like "this answer may not be correct, are you sure you're right?"
Earlier quoted context omitted.
If I ask an LLM a very complex and specific question 500 times, if it just doesn't know the facts you'll still get the wrong answer 500 times. That's understandable. The real problem is when the AI lies/hallucinates another answer with confidence instead of saying "I don't know".
The weird problem is with LLM hallucinations is that it usually will acknowledge its mistake and correct itself if you call it out. My question is why can't LLMs included a sub-routine to check itself before answering. Simply asking itself something like "this answer may not be correct, are you sure you're right?"
For all the posturing and crypto hate on HN, we're entering a world where it's socially acceptable to use 1000W of computing power and 5 seconds of inference time to parse a tiny HTML fragment which would take microseconds with traditional methods - and people are cheering about it. Time for some self-reflection? That's not very green.
For all the posturing and crypto hate on HN, we're entering a world where it's socially acceptable to use 1000W of computing power and 5 seconds of inference time to parse a tiny HTML fragment which would take microseconds with traditional methods - and people are cheering about it. Time for some self-reflection? That's not very green.
You are an expert in Web Scraping, so you are capable to find the information in HTML and label them accordingly. Please return the final result in JSON.
Data to scrape:
title: Name of the business
type: The business nature like Cafe, Coffee Shop, many others
phone: The phone number of the business
address: Address of the business, can be a state, country or a full address
years_in_business: Number of years since the business started
hours: Business operating hours
rating: Rating of the business
reviews: Number of reviews on the business
price: Typical spending on the business
description: Extra information that is not mentioned yet in any of the data
service_options: Array of shopping options from the business, for example, in store shopping, delivery and many others. It should be in format -> option_name: true
is_operating: Whether the business is operating
HTML:
{html}