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Joined devRant on 12/17/2017
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Been nearly 3 years since I last posted on DevRant, a lot has changed, but users are still usering….
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My lovely colleagues from planning bought me this for "my continuous help over this year".
I love those guys.
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This is lead acetate. It looks like sugar and tastes like sugar, yet it’s as toxic as lead.
Have a good day!
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I have paid version of GPT now. Kinda accidental, I wanted the API version and that seemed to be smth completely else. Didn't know. I have a lot of opinions / mixed feelings about it so far. Take the imagine generation, this image is kinda perfectly what I wanted. But it took so much iterations and it was forgetting what i've said lines before. Everytime adding text balloons why I said to remove it, then it removes it but generates a complete new image with something else I don't want with it. THan i fix that, and tadaaa, again a text balloon.
This is the question where it is about: is GPT in current state worth the money? I have no idea, I need some more time.
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Some people wanted to download their rants / comments. I'm working on it.
Three lines of native python code (no dependencies) to see what @Lensflare said:
from pprint import pp
from xmlrpc.client import ServerProxy
pp(ServerProxy("https://victoria.molodetz.nl/rpc").get_comments({'id':{'gt':42},'_limit':1337,'username':'Lensflare'}))
I think this gives example of possibilities enough. Use your fantasy on how to retrieve rants.
Limitations:
- Not whole dR is available yet, but way more than retrievable using the public dR API. This system uses the user website as source.
- It doesn't show rant_id or comment_id and it won't to prevent abuse. Later today, there will be away to attach rants comments.
- maximum 2500 record limit. But soon you can get comments for every rant per user. You won't reach this limit in normal usage
Have fun with it! Don't worry about the abusing the API. Everything is allowed. It's fast as F. If it doesn't respond - it wasn't you. I work on it and often reboot services and it takes some time to recover to state.
If you're not familiar with python, that's ok. Check if you're a decent dev and have python or python3 on your computer. Just execute it and paste the lines. Other way is to save these three limes to a file ending with .py and execute python3 [your-file].
Another example for people not used to python:
from pprint import pprint as pp # nice printing of values
client = ServerProxy("https://victoria.molodetz.nl/rpc")
comments = client.get_comments({'_limit':1337})
for comment in comments:
if comment.get('username','default username') == 'kiki':
print(comment.get('body'))
pp(comment)
Happy hacking!
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I have a score difference of two in two posts after eachother on the same page. This is how it must feels to win a lottery without gaining smth. I should buy a ticket. The odds are with me.
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Black box. It does seem to put messages with an URL in a certain category though, but also that's not always correct. It's trained on 3000 normal dR messages, and 3000 spam dR messages. 6000 dR messages in total. Many epochs but not good for use yet. The idea that the system could classify without discriminating new users is from the table. That discrimination is needed as a safe margin. Original spam system is a bit simple, but it doesn't do false positive and works great. Still, I want to make smth advanced out of it for the sake of education. Tomorrow I'll have my neural networks book. Probably over two weeks I have some good insights how to improve this all. New hobby :)
(pretrained 3b models are fine for recognizing spam btw. But it costs resource. 8 CPU's 100%. A self trained model pure on spam doesn't and is fast. With a pretrained model you can't do mass classification.)
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