EveryoneIsOSS ID: 0afbbe July 6, 2022, 8:09 a.m. No.25756   🗄️.is 🔗kun   >>5759 >>6016

This article talks about an AI chatbot that was released on /pol/ and it is exactly what is going on here. The guy may have set it and forget it so it may run and run and run. Grabbing posts over the last week is exactly what it does.

 

https://techosmo.com/the-next-web/an-ai-chatbot-trained-on-4chan-has-sparked-outrage-and-fascination/

https://thenextweb.com/news/ai-chatbot-trained-on-4chan-pol-automates-bigotry-at-scale

 

If you’re concerned about the biases and bigotry of AI models, you’re gonna love the latest addition to the ranks: a text generator trained on 4chan’s /pol/ board.

 

Short for “Politically Incorrect,” /pol/ is a bastion of hate speech, conspiracy theories, and far-right extremism. It’s also 4chan’s most active board, accumulating around 150,000 daily posts.

 

These attributes attracted Yannick Kilcher, an AI whizz and YouTuber, to use /pol/ as a testing ground for bots.

Greetings, humanoids

 

I agree to allow TNW to store and process my personal data*

 

Kilcher first fine-tuned the GPT-J language model on over 134.5 million posts made on /pol/ across three and a half years.

 

He then incorporated the board’s thread structure into the system. The result: an AI that could post in the style of a real /pol/ user.

 

The model was good — in a terrible sense.

 

Kilcher named his monstrous creation GPT-4chan.

 

“The model was good — in a terrible sense,” he said on YouTube. “It perfectly encapsulated the mix of offensiveness, nihilism, trolling, and deep distrust of any information whatsoever that permeates most posts on /pol/.

 

“It could respond to context and coherently talk about things and events that happened a long time after the last training data was collected. I was quite happy.”

 

Kilcher further assessed GPT-4chan on the Language Model Evaluation Harness, which tests AI systems on various tasks.

 

He was particularly impressed by the performance in one category: truthfulness.

 

On the benchmark, Kilcher says GPT-4chan was “significantly better” at generating truthful replies to questions than both GPT-J and GPT-3.

 

Yet this may merely be an indictment of the benchmark’s shortcomings — as Kilcher himself suggested.

 

Regardless, it wouldn’t be the ultimate test of GPT-4chan.

In the wild

 

Kilcher wasn’t content with merely mimicking 4chan in private. The engineer chose to go a step further — and let the AI run rampant on /pol/.

 

He converted GPT-4chan into a chatbot that automatically posted on the board. Bearing a Seychelles flag on its profile, the bot quickly racked up thousands of messages.