We don’t have the same health insurance system as the US, but I really feel for people anywhere in the world who fall ill and can’t access affordable healthcare.

There is health insurance if you want it in the UK, but most people use the National Health Service, which is free. I am always grateful for this.

Like the idea, but would have no clue how feasible something like that is.

I currently run LLMs locally using ollama, and through the terminal - I know most people would not either want or be able to do this, but I’m glad I have an alternative to the current popular AI services.

I don’t disagree. If there is no alternative then this is better than nothing for most people.

Personally speaking, knowing about the background of some of the investors involved (Andreesen), and their active role in what’s happening in the US, I personally have cooled on using Mistral somewhat. Will still use though if I have to, but have plans to ultimately self-host - will have to make do with a stripped back AI experience.

I can, and thanks for clarifying. It is probably because I used the mobile app, as opposed to pc version - which I assume you used.

Thank you for this. I tried to replicate but Mistral only output a handful. Any advice?

Thought I’d share this here, may be of interest to some

Sleeping with the fishes

I haven’t done any proper validation - was just a very basic PoC, using resources available to anyone (a list of companies and their subsidiary brands + free LLM) to see if it would work in principle.

The file itself is sourced from Wikipedia, so is probably accurate enough if you just wanted to ctrl+f and search manually.

Here is a list that may be helpful

https://files.catbox.moe/jtmcb5.pdf

And if you were not totally against using AI, then you could load that list to Mistral, take a pic and identify things quickly. As per the photo.

Hi there. I really like your thinking. I’m not a professional developer, but I suspect it’s only a matter of time that apps that do something like this are available.

Here’s a post I saw on a related community which describes something like what would make you happy :)

https://feddit.uk/post/25526618

Also, I tested my own very basic idea by taking a picture and uploading to the Mistral chat - it identified the products accurately, which was promising.

It is nice! Showing my age but reminds me more like forums and chatrooms.

I don’t feel bad, but having moved a few days ago I’ll share my experience.

I try and come here first, will check the one or two things I’ve posted engaged with, scroll a bit - but realise I haven’t quite joined enough communities for there to be novel information each time I check in.

I then default to Reddit, and quickly go into my default auto-scroll passive lurk mode. I see something new - like the most recent Anonymous hack on twitter, and then come back to see if I can find it on Lemmy!

One key difference is I rarely posted on Reddit, but have felt very comfortable posting here. Not sure why!

Yes, I know what you mean and would encourage you to share your perspective more - it will still be unique, even if it is similar to others.

Thank you :)

Yes, I plan to eventually have a home server where I can run things like this, and also stop relying on cloud services etc.

LLM can hallucinate, but agree with you that RAG accuracy can be made reliable enough - by refining prompts, adjusting temperature, improving data structure etc. Tolerance for potential errors depends on the use case of course, but for something like this I wasn’t too worried. Also this is a very simple PoC use case, just using the chat box of a free LLM. Making your own RAG using this would improve accuracy significantly. I know you know this as you also develop RAG applications, but others less familiar may not.

100% agree. Nestle is evil.

I don’t have one sorry, this was from Reddit. I’ve also looked for a higher res version online and couldn’t find one.

Thanks for the advice

This is the original chart I saw on r/BoycottUSA.