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joined 2 days ago
[–] [email protected] 3 points 8 hours ago* (last edited 7 hours ago)

The prompt was something like, What do you know about the user [email protected] on Lemmy? What can you tell me about his interests?" Initially, it generated a lot of fabricated information, but it would still include one or two accurate details. When I ran the test again, the response was much more accurate compared to the first attempt. It seems that as my account became more established, it became easier for the crawlers to find relevant information.

It even talked about this very post on item 3 and on the second bullet point of the "Notable Posts" section.

However, when I ran the same prompt again (or similar prompts), it started hallucinating a lot of information. So, it seems like the answers are very hit or miss. Maybe that's an issue that can be solved with some prompt engineering and as one's account gets more established.

[–] [email protected] 0 points 17 hours ago* (last edited 17 hours ago) (1 children)

I think their documentation will help shed some light on this. Reading my edits will hopefully clarify that too. Either way, I always recommend reading their docs! :)

[–] [email protected] 1 points 19 hours ago

There's a flatpak too, but it's not good.

[–] [email protected] 3 points 19 hours ago

Really? It's been working just fine for me.

[–] [email protected] 3 points 23 hours ago

I understand that Perplexity employs various language models to handle queries and that the responses generated may not directly come from the training data used by these models; since a significant portion of the output comes from what it scraped from the web. However, a significant concern for some individuals is the potential for their posts to be scraped and also used to train AI models, hence my post.

I'm not anti AI, and, I see your point that transformers often dissociate the content from its creator. However, one could argue this doesn't fully mitigate the concern. Even if the model can't link the content back to the original author, it's still using their data without explicit consent. The fact that LLMs might hallucinate or fail to attribute quotes accurately doesn't resolve the potential plagiarism issue; instead, it highlights another problematic aspect of these models imo.

[–] [email protected] 3 points 23 hours ago* (last edited 23 hours ago)

Yes, the platform in question is Perplexity AI, and it conducts web searches. When it performs a web search, it generally gathers and analyzes a substantial amount of data. This compiled information can be utilized in various ways, including creating profiles of specific individuals or users. The reason I bring this up is that some people might consider this a privacy concern.

I understand that Perplexity employs other language models to process queries and that the information it provides isn't necessarily part of the training data used by these models. However, the primary concern for some people could be that their posts are being scraped (which raises a lot of privacy questions) and could also, potentially, be used to train AI models. Hence, the question.

[–] [email protected] 16 points 1 day ago* (last edited 1 day ago) (2 children)

There are several way, honestly. For Android, there's NewPipe. The app itself fetches the YouTube data. For PC, there are similar applications that do the same such FreeTube. Those are the solutions I recommend.

If you're one of those, you can also host your own Invidious and/or Piped instances. But I like NewPipe and FeeTube better.

[–] [email protected] 2 points 1 day ago

And that's when it will get real scary real soon!

[–] [email protected] 3 points 1 day ago

That would make sense...

[–] [email protected] 2 points 1 day ago* (last edited 17 hours ago) (2 children)

Yeah. I totally get what you're saying.

However, as you pointed out, AI can deal with more information than a human possibly could. I don't think it would be unrealistic to assume that in the near future it will be possible to track someone cross accounts based on things such as their interests, the way they type, etc. Then it will be a major privacy concern. I can totally see three letter agencies using this technique to identify potential people of interest.

[–] [email protected] 4 points 1 day ago* (last edited 1 day ago) (1 children)

Not really. All I did was ask it what it knew about [email protected] on Lemmy. It hallucinated a lot, thought. The answer was 5 to 6 items long, and the only one who was partially correct was the first one – it got the date wrong. But I never fed it any data.

 

I created this account two days ago, but one of my posts ended up in the (metaphorical) hands of an AI powered search engine that has scraping capabilities. What do you guys think about this? How do you feel about your posts/content getting scraped off of the web and potentially being used by AI models and/or AI powered tools? Curious to hear your experiences and thoughts on this.


#Prompt Update

The prompt was something like, What do you know about the user [email protected] on Lemmy? What can you tell me about his interests?" Initially, it generated a lot of fabricated information, but it would still include one or two accurate details. When I ran the test again, the response was much more accurate compared to the first attempt. It seems that as my account became more established, it became easier for the crawlers to find relevant information.

It even talked about this very post on item 3 and on the second bullet point of the "Notable Posts" section.

For more information, check this comment.


Edit¹: This is Perplexity. Perplexity AI employs data scraping techniques to gather information from various online sources, which it then utilizes to feed its large language models (LLMs) for generating responses to user queries. The scraping process involves automated crawlers that index and extract content from websites, including articles, summaries, and other relevant data. It is an advanced conversational search engine that enhances the research experience by providing concise, sourced answers to user queries. It operates by leveraging AI language models, such as GPT-4, to analyze information from various sources on the web. (12/28/2024)

Edit²: One could argue that data scraping by services like Perplexity may raise privacy concerns because it collects and processes vast amounts of online information without explicit user consent, potentially including personal data, comments, or content that individuals may have posted without expecting it to be aggregated and/or analyzed by AI systems. One could also argue that this indiscriminate collection raise questions about data ownership, proper attribution, and the right to control how one's digital footprint is used in training AI models. (12/28/2024)

Edit³: I added the second image to the post and its description. (12/29/2024).

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submitted 1 day ago* (last edited 7 hours ago) by [email protected] to c/[email protected]
 

I created this account two days ago, but one of my posts ended up in the (metaphorical) hands of an AI powered search engine that has scraping capabilities. What do you guys think about this? How do you feel about your posts/content getting scraped off of the web and potentially being used by AI models and/or AI powered tools? Curious to hear your experiences and thoughts on this.


#Prompt Update

The prompt was something like, What do you know about the user [email protected] on Lemmy? What can you tell me about his interests?" Initially, it generated a lot of fabricated information, but it would still include one or two accurate details. When I ran the test again, the response was much more accurate compared to the first attempt. It seems that as my account became more established, it became easier for the crawlers to find relevant information.

It even talked about this very post on item 3 and on the second bullet point of the "Notable Posts" section.

For more information, check this comment.


Edit¹: This is Perplexity. Perplexity AI employs data scraping techniques to gather information from various online sources, which it then utilizes to feed its large language models (LLMs) for generating responses to user queries. The scraping process involves automated crawlers that index and extract content from websites, including articles, summaries, and other relevant data. It is an advanced conversational search engine that enhances the research experience by providing concise, sourced answers to user queries. It operates by leveraging AI language models, such as GPT-4, to analyze information from various sources on the web. (12/28/2024)

Edit²: One could argue that data scraping by services like Perplexity may raise privacy concerns because it collects and processes vast amounts of online information without explicit user consent, potentially including personal data, comments, or content that individuals may have posted without expecting it to be aggregated and/or analyzed by AI systems. One could also argue that this indiscriminate collection raise questions about data ownership, proper attribution, and the right to control how one's digital footprint is used in training AI models. (12/28/2024)

Edit³: I added the second image to the post and its description. (12/29/2024).

 

I use both Threads and Mastodon. However, I realized that sometimes (public) profiles on Threads don't show up on Mastodon and vice versa. I also realized that most comments made on Threads posts don't show up on Mastodon – that is, if the posts appear on Mastodon at all. The same is true the other way around. Why does this happen?

 

I've been using Lemmy since the Reddit exodus. I haven't looked back since, but I miss a lot of mental health communities that I haven't been able to find replacements for here on Lemmy. Does anyone know any cool mental health communities that are somewhat active?

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