I was trying to find out why Lidarr wasn't matching my copy of The Cure's Greatest Hits. Found out I've got some bootleg Russian release that's catalogued on discogs (I eventually found the musicbrainz release and updated my profile to include bootlegs). So I search "Lidarr use specific discogs release" and the duck duck go search assist spat out some text about Lidarr not using discogs and cited this Tildes post.

It's curious because that post is 3yrs old and doesn't talk about discogs integration in Lidarr, just one mention of discogs in the post and some folks talking about Lidarr in the comments (It did cite a relevant GitHub issue about it though). The AI response mentioned that some users track new releases with Lidarr and downloads disabled, while covered in the post, it seems fairly tangential to my query.

I'm curious why it decided to check or cite a tildes post. No tildes posts came up in the first couple pages of search results. I use tildes from the same location, though on my phone where this query was on my desktop, and have done a couple DDG queries using "site:tildes.net" on my phone.

Has anyone else seen a search assist cite an unexpected site? Not unexpected as in irrelevant, that's all too common, but small and specific sources.

I've been trying to get a more rounded understanding of the impacts that "AI" has had since ChatGPT went viral back in 2022.

I've found it easy to gather a list of negative impacts, but have struggled to point to many positives.

I was curious if there were folks who have used any of these AI tools, and would willing to share any positive impacts those tools have had in their lives. I'm particularly interested in the text, audio, image, and video generation tools that have appeared since ChatGPT went viral, but please share anything else that you think fits.

so Google's AI Studio used to have an option to finetune gemini flash for free by simply uploading a csv file. but it seems they have removed that option, so I'm looking for something similar. I know models can be finetuned on colab but the problem with that is it's way too complicated for me, I want something simpler. I think I know enough python to be able to prepare a dataset so that shouldn't be a problem.

My understanding of how large language models work is rooted in my knowledge of statistics. However a significant number of people have never been to college and statistics is a required course only for some degree programs.

How should chatgpt etc be explained to the public at large to avoid the worst problems that are emerging from widespread use?

I've been thinking perhaps I'll need to get one of the desktop LLM UI. I've been out of touch with the state of the art of end user LLM as I've been exclusively using it via API, but tech-y people (who are not developers) mostly talk about the end-user products that I lack the knowledge of.

Ethical problems aside, the problem with non-API usage is, even if you pay, I can't find one that have better privacy policy than API. And the problem with API version is that it is not as good as the completed apps unless you want to reinvent the wheel. The apps also may include ads in the future, while API technically cannot as it would affect some downstream usecases.

As a dual use technology, the table doesn't include the extra retention period if they detect an abuse. Additionally, if you click on thumbs up/down it may also be recorded for the provider's employee to review.

I don't think OpenWebUI, self hosted models, etc. would suffice if they are not built to the same quality as the first party products. I know I'm probably asking for something that doesn't exists here, but at least I hope it will bring to people's attention that even if you're paying for the product you might not get the same privacy protection as API users.

Disclaimer: I do not like LLMs. I am not going to fight you on if you say LLMs are shit.

One of the things I find interesting about conversations on LLMs is when have a critique about them, and someone says, "Well, it's no different than people." People are only as good as their training data, people misremember / misspeak / make mistakes all the time, people will listen to you and affirm you as you think terrible things. My thought is that not being reliably consistent is a verifiable issue for automation. Still, I think it's excellent food for thought.

I was looking for new music venues the other day. I happened upon several, and as I looked at their menu and layout, it occurred to me that I had eaten there before. Not there, but in my city, and in others. The Stylish-Expensive-Small-Plates-Record-Bar was an international phenomenon. And more than that, I couldn't help but shake that it was a perversion of the original, alluring concept-- to be in a somewhat secretive record bar in Tokyo where you'll be glared into the ground if you speak over the music.

It's not a bad idea. And what's wrong with evoking a good idea, especially if the similarity is just unintentional? Isn't it helpful to be able to signal to people that you're like-that-thing instead of having to explain to people how you're different? Still, the idea of going just made me assume it'd be not simply like something I had experienced before, but played out and "fake." We're not in Tokyo, and people do talk over the music. And even if they didn't, they have silverware and such clanging. It makes me wonder if this permutation is a lossy estimation of the original concept, just chewed up, spat out, slurped, regurgitated, and expensively funded.

other forms of conceptual perversion:

• Matters of Body Image - is it a sort of collapse when we go from wanting 'conventional beauty' to frankensteining features onto ourselves? Think fox eye surgeries, buccal fat removal, etc. Rather than wanting to be conventionally attractive, we aim for the related concept of looking like people who are famous.
• (still thinking)

Hello to everyone who's reading this post :)

Now LLMs are increasingly so useful (of course after careful review of their generated answers), but I'm concerned about sharing my data, especially very personal questions and my thought process to these large tech giants who seem to be rather sketchy in terms of their privacy policy.

What are some ways I can keep my data private but still harness this amazing LLM technology? Also what are some legitimate and active forums for discussions on this topic? I have looked at reddit but haven't found it genuinely useful or trustworthy so far.

I am excited to hear your thoughts on this!