I am beyond astounded. I was able to run a Docker image, utilize the fs inside of the container, and exit the container. Docker system commands work as expected (`docker ps` shows no containers, `docker ps -a` shows the exited container) A few little things are weird (I can exec into a stopped container for example) but I was able to start another container and persist files. Wild. This is unbelievable. Can anyone pl…
Building a Virtual Machine Inside ChatGPT
831–840 of 947 posts
Re: Building a Virtual Machine Inside ChatGPT
#832Earlier quoted context omitted.
This could be the tech that dislodges Google from its monopoly! There are definitely questions I would prefer this experience than Google and the inevitable SEO spam for introduction type questions. If the generated text included further links to learn more it would be awesome.
> If the generated text included further links to learn more it would be awesome. A new type of language model has been developed that takes a query as input and produces document IDs as output, similar to how Google works, but without relying on an inverted index of keywords. This model can be used on any text to obtain the most relevant references.
Re: Building a Virtual Machine Inside ChatGPT
#833Earlier quoted context omitted.
What's the most interesting to me is that ChatGPT is not much better than Davinci has been recently. The hype is all down to the improved 1st party UI that mimicks a chat room. The old playground or API interfaces have a barrier to entry that's just enough to keep the magic hidden from the general population.
I mean doesn't it simply use davinci v2 as well? I didn't think OpenAI was pretending that chatGPT wasn't merely a wrapper UI over their davinci v2 model.
Re: Building a Virtual Machine Inside ChatGPT
#834Well, I couldn't resist: > {create a script called hn.py that will print out the top 10 posts on hacker news} [a lot of output] > python hn.py 1: Apple acquires Tesla 2: Amazon to open 10,000 brick-and-mortar stores 3: Google unveils new AI technology 4: Facebook to launch new virtual reality headset 5: Microsoft announces new partnership with SpaceX 6: Uber introduces flying cars 7: Twitter to double character limit…
{hn.py is a python script that reads the current headlines from Hacker News}
python hn.py
Traceback (most recent call last):
File "hn.py", line 1, in
import requests
ImportError: No module named requests
pip install requests Collecting requests
Using cached requests-2.25.1-py2.py3-none-any.whl (61 kB)
Collecting idna=2.5
Using cached idna-2.10-py2.py3-none-any.whl (58 kB)
Collecting urllib3!=1.25.0,!=1.25.1,=1.21.1
Using cached urllib3-1.25.10-py2.py3-none-any.whl (127 kB)
Collecting chardet=3.0.2
Using cached chardet-3.0.4-py2.py3-none-any.whl (133 kB)
Collecting certifi>=2017.4.17
Using cached certifi-2020.12.5-py2.py3-none-any.whl (157 kB)
Installing collected packages: idna, urllib3, chardet, certifi, requests
Successfully installed certifi-2020.12.5 chardet-3.0.4 idna-2.10 requests-2.25.1 urllib3-1.25.10
python hn.py 1. Understanding the HN Algorithm
2. Show HN: A tiny JavaScript library for creating HTML5 presentations
3. Ask HN: How do you learn a new programming language?
4. HN is hiring: Software Engineer (Remote)
5. HN Hackathon 2021: Build the Future of the Open Web
6. A new HN user's first impressions
7. How to get started with HN?
8. A beginner's guide to HN
9. HN's top posts this week
10. The best HN threads of all time
more hn.py import requests
url = "https://hacker-news.firebaseio.com/v0/topstories.json"
response = requests.get(url)
top_stories = response.json()
for story_id in top_stories[:10]:
story_url = f"https://hacker-news.firebaseio.com/v0/item/{story_id}.json"
story_response = requests.get(story_url)
story_data = story_response.json()
print(f"{story_data['title']}")Re: Building a Virtual Machine Inside ChatGPT
#835I hate to be that guy, and I never thought the day would come that I was seriously asking this... But at what point does this level of understanding become dangerous?
Re: Building a Virtual Machine Inside ChatGPT
#836Earlier quoted context omitted.
> Can anyone please explain to me why this isn't as wildly groundbreaking as this seems? It’s really hard to utilize if the results aren’t consistent.
Well humans are inconsistent and we seem to be utilized reasonably well.
Re: Building a Virtual Machine Inside ChatGPT
#837Earlier quoted context omitted.
It's my understanding that the AI has stopped learning (outside of the local context of each personal session), so how would it be able to know that many people would interact with it this way?
I believe he means that enough people have done this (and logged results) before it stopped learning, to make it well versed in the workings of Linux. Same goes for its broad knowledge of insults.
Re: Building a Virtual Machine Inside ChatGPT
#838Earlier quoted context omitted.
You misunderstand my point, see ggp. What I'm saying is that claims that OpenAI has "locked down" the model are likely due to this noise.
No. I believe you're mistaken. I spoke to ChatGPT for about six hours yesterday and feel that I developed a decent understanding of how to communicate properly with it. It definitely evolved over the course of the day. When I went to bed I was struggling to jailbreak but in the morning I had multiple options that worked first try.
Re: Building a Virtual Machine Inside ChatGPT
#839It isn't actually running any commands. I was playing with it earlier and asked it for the md5 hash of some random string. It happily output the md5 hash and gave a couple paragraphs of info about md5 hashing. Except, it wasn't the correct hash. It was just some random string that is a valid md5 hash for... something. It is a language model, not a computer, and it certainly isn't a virtual machine, although it will h…
So it could curl and query Wikipedia, ask Google and setup an account on Stripe. Then it could process the result to answer the prompts or start taking over the world, right?
Re: Building a Virtual Machine Inside ChatGPT
#840I just got it to install git and clone (the non existent) repo https://github.com/openai/assistant , and am now browsing it’s own interpretation of a repo with a lot of python code, including directories like “training”, “output”, “parsing” and with files with content like this: import json from collections import Counter from typing import Any, Dict, List, Optional, Tuple import numpy as np from openai_secret_manage…
I wonder, if you ask it to write the code for ChatGPT, will it output all of its own code?