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Ask HN: What's the coolest non standard application of LLMs you've seen?

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Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#31

Post by ipsum2 »

LinasKo wrote: post #19

It has to be the auto-playing Tomb Raider agent, where LLMs were used to give Lara self-awareness. I've never seen anything like it. It starts off with some classical computer vision shenanigans to understand the character movement, map layout, and to create the 'desire' to explore. Then the LLM is given input of images, sound descriptions and prior thoughts, lettting Lara remark on the situation, which feels very su…

The description says its faked?

> This video may be inaccurate and is made for entertainment.

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#32

Post by hubraumhugo »

I was overwhelmed by the pace of AI news and papers coming out, so I built an automated HN news monitoring service that delivers relvant news straight to my inbox or my RSS feed: https://www.kadoa.com/hacksnack

It uses LLMs to extract, summarize, and tag the front page articles and classify the different perspectives in the comments.

No more FOMO :)

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#33

Post by Maxion »

matsemann wrote: post #25
Maxion wrote: post #22

Jira issue generator. Custom GPT with instructions that outputs issues according to our issue templates in markdown. Allows me to write horribly typoed bullet point lists and get out surprisingly good issues. Gets me 80-90% done in a fraction of the time. I can then just edit them to get them to be what I need. What I'd really want to get working is a PR desription generator.

Why can't the bullet points just be used as is? Either they contain enough signal, or they don't and llm won't help anyways. I fear everything will be expanded by llms soon. "write an email, three paragraphs, about X", instead of just sending X directly. Then the receiver gets a wall of text, and uses an llm to distill it back to X' before reading. Just hope too much didn't get lost in the inverse compression through…

> Why can't the bullet points just be used as is? Either they contain enough signal, or they don't and llm won't help anyways.

Because it is a lot messier and harder to understand when it's not structured. Having clearly structured tickets lessens the cognitive load.

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#34

Post by [deleted] »

GolDDranks wrote: post #9

I'm attempting to create a frequency list of words for language learners. (In Japanese.) Commonly, these lists are based in just what word appears in the text at "surface" level. However, words commonly have multiple "senses" or nuances of meaning in which they are used. Dictionaries list these senses, but it has been traditionally hard to disambiguate which sense the word is used in, given an usage in text. LLM's ma…

[deleted]

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#35

Post by grumbel »

LinasKo wrote: post #19

It has to be the auto-playing Tomb Raider agent, where LLMs were used to give Lara self-awareness. I've never seen anything like it. It starts off with some classical computer vision shenanigans to understand the character movement, map layout, and to create the 'desire' to explore. Then the LLM is given input of images, sound descriptions and prior thoughts, lettting Lara remark on the situation, which feels very su…

Worth pointing out that most of that video is fake[1]. Though it and its debunking video are still a great example how to make entertaining fictional content with a little help of AI. It probably won't be too long before somebody builds something like that for real, similar AI mods[2] for Skyrim are already out.

[1] https://www.youtube.com/watch?v=bmqUUb80ApQ

[2] https://www.nexusmods.com/skyrimspecialedition/mods/98631

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#36

Post by kelvie »

Maxion wrote: post #22

Jira issue generator. Custom GPT with instructions that outputs issues according to our issue templates in markdown. Allows me to write horribly typoed bullet point lists and get out surprisingly good issues. Gets me 80-90% done in a fraction of the time. I can then just edit them to get them to be what I need. What I'd really want to get working is a PR desription generator.

I use copilot in emacs, and running "git commit -v" puts the diff in my emacs(client) buffer with copilot on and it's not terrible at describing the changes.

A lot of times it'll even guess the JIRA ticket number from the diff or the branch name.

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#37

Post by tkgally »

GolDDranks wrote: post #9

I'm attempting to create a frequency list of words for language learners. (In Japanese.) Commonly, these lists are based in just what word appears in the text at "surface" level. However, words commonly have multiple "senses" or nuances of meaning in which they are used. Dictionaries list these senses, but it has been traditionally hard to disambiguate which sense the word is used in, given an usage in text. LLM's ma…

That’s a great idea. I hope it can be done for other languages, too.

I used to help prepare study materials for Japanese learners of English. The other editors and I would try to adjust the vocabulary to keep it at an appropriate level for the target learners. Word-frequency lists provided some guidance, but they showed only how often words appeared in the surveyed texts, not the meanings in which they were used. The word “medium,” for example, might have a fairly high frequency, but could we expect the learners to know the meanings “a substance through which a force travels” or “someone who claims to have the power to receive messages from dead people”?

A similar problem was with multiword idioms. The verb “make” is one of the most common words in English, but how common are “make it,” “make do,” “make up,” “make away with,” or “make out”? Ten years ago, I was unable to find any reliable answers. We had to rely on our gut feelings.

Good luck with your project. LLMs should be a big help.

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#38

Post by wood_spirit »

ilovefood wrote: post #26

I'm using it to filter out the content that's displayed in my browser screen as I browse: https://karimjedda.com/llms-in-the-middle-content-aware-clie... Essentially, I wrote a small browser extension, that takes the content of LinkedIn, Twitter, YouTube posts/titles, and filters them out based on if they are clickbait, low effort, etc. It's liberating :D

The thing that made the initial chatgpt refreshing was the lack of ads - it wasn’t trying to sell you anything. This obviously will not continue; commercial pressures will direct AI efforts towards being a better ad pusher.

So the AI of the social media sites will end trying to get the crap past your local AI filters, in a big AI arms race :)

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#39

Post by hiAndrewQuinn »

I've recently been experimenting with training LLMs on the personal corpus of a dear family friend who passed recently, with the intent to eventually embed the device in his tombstone up north so that people can come and commune with him.

He was a well-known tarot reader, mystic and Haskeller in the northern Finnish community; without his help it's very likely I would have been deported from the country before I could get my passport sorted out. We came up with this plan together before he passed mostly out of a really weird shared sense of humor.

Re: Ask HN: What's the coolest non standard application of LLMs you've seen?

#40

Post by interloxia »

GolDDranks wrote: post #9

I'm attempting to create a frequency list of words for language learners. (In Japanese.) Commonly, these lists are based in just what word appears in the text at "surface" level. However, words commonly have multiple "senses" or nuances of meaning in which they are used. Dictionaries list these senses, but it has been traditionally hard to disambiguate which sense the word is used in, given an usage in text. LLM's ma…

Consider using fastText's word vectors. They have a bunch of languages that come pre sorted by frequency and are sufficient for basic word sense. Perhaps use a LLm to automate some of the disambiguation.

https://fasttext.cc/docs/en/crawl-vectors.html

https://news.ycombinator.com/item?id=13771292 (6 years ago)

Aligning the fastText vectors of 78 languages

https://github.com/babylonhealth/fastText_multilingual/blob/...

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