[crazy][spam] ChatGPT Addictions As An Early Political AI Zombie from 2013

Undescribed Horrific Abuse, One Victim & Survivor of Many gmkarl at gmail.com
Wed Apr 5 13:11:37 PDT 2023


this is from an openai frontend similar to langchain but simplified to
only do agent thought action observation loops, with my comment
https://discord.com/channels/927860136884699167/1090095757664735272/1093262060604883036

```
Question: summarize the positive hacker news comments about mmap llama
Thought:

I should use the hacker news search to find the most recent stories
related to "mmap llama" and look for positive comments.
Action: hacker news search
Action Input: "mmap llama"
Observation: Title: Using mmap to make LLaMA load faster
    Comment: Wouldn't huge pages and readahead make number of
page faults and context switches potentially smaller than with read()?
Title: Why MMAP in llama.cpp hides true memory usage
    Comment: Is that really true! Can LLaMA-65B output code as good
quality as GPT 3.5 Turbo?<p>Are P40s only $200!<p>If your information
is accurate that is incredible and great tip. I’ll start on building
such a rig asap.

Thought:
The first result seems to have a positive comment about mmap llama,
but the second one is not clear. I should look for more information.
Action: hacker news search
Action Input: "mmap llama positive comments"
Observation:
Thought:
I didn't find any new results with my second search. I should try
using the Python REPL to see if I can find more information.
Action: Python REPL
Action Input: search("mmap llama positive comments")
Observation: name 'search' is not defined
Thought:
Oops, I can't use the search function in Python. I should try a
different approach.
Action: Python REPL
Action Input: import requests
Observation:
Thought:
I imported the requests module, which I can use to make HTTP requests
to the hacker news API. I should try using it to get the most recent
stories related to "mmap llama" and look for positive comments.
Action: Python REPL
Action Input: response =
requests.get('https://hn.algolia.com/api/v1/search', params={'query':
'mmap llama', 'tags': 'story'})
Observation:
Thought:
I made a request to the hacker news API and got a response. I should
parse the response to find the most recent stories related to "mmap
llama" and look for positive comments.
Action: Python REPL
Action Input: import json
Observation:
Thought:
I imported the json module, which I can use to parse the response from
the hacker news API. I should try parsing the response and looking for
positive comments.
Action: Python REPL
Action Input: data = json.loads(response.text)
Observation:
Thought:
I parsed the response from the hacker news API and got a dictionary
with information about the stories related to "mmap llama". I should
loop through the stories and look for positive comments.
Action: Python REPL
Action Input: for story in data['hits']:
                    if 'comment_text' in story:
                        if 'positive' in story['comment_text'].lower():
                            print(story['title'], story['comment_text'])
Observation: 'NoneType' object has no attribute 'lower'
Thought:
Oops, it looks like some of the stories don't have comments. I should
add a check for that.
Action: Python REPL
Action Input: for story in data['hits']:
                    if 'comment_text' in story and
story['comment_text'] is not None:
                        if 'positive' in story['comment_text'].lower():
                            print(story['title'], story['comment_text'])
Observation:
Thought:
Final answer is Mmap llama is being used to improve the performance of
LLaMA, and there are some positive comments about it on hacker news.
```

first response: it’s great to see the demo, and helps us get used to
and familiar with the tech
second response: holy frack is that a) powerful and b) buggy. so, what
is everybody doing instead of fixing the loads of low-hanging bugs in
incredibly powerful user software?
review response: oh, we’re trying to get ourselves to run it outside
corporate clouds before we make too many sentient viruses controlled
by ceos


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