- cross-posted to:
- boycottus@lemmy.ca
- cross-posted to:
- boycottus@lemmy.ca
Hi Everyone,
I wanted to share something that I’m hoping will help me when it comes to making better choices about what I buy. While this isn’t about promoting European products in the first instance, it’s designed to help me figure out which brands I currently use, but may need to avoid, so I can find better alternatives that are local, European, allied countries, or even values-led US brands if no other option exists.
Here’s what I did:
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Got the idea from Reddit: I saw a post on Reddit with a visual of all the brands owned by big multinational companies. Really helpful to see the visual but there were literally thousands, and I wanted a text list I could feed into an AI chat as a reference document.
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Did Some Research: I looked up these multinational companies on Wikipedia which seemed to have a relatively updated list of subsidiary brands, focusing on the parent companies I wanted to steer clear of, like PepsiCo, Nestle etc.
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Cleaned Up the List: I used AI tool to organise everything into a neat PDF.
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Made It Easy to Use for me with AI: I added the PDF to a chat in Mistral so I can quickly check any products I see in my fridge or cupboard. The AI helps me spot any brands I should avoid. I can also just list the brands off using voice for ease/speed but accuracy suffers a bit. I may also be able to just take a picture but haven’t tried that yet.
The image is the output.
Anybody with access to a simple list and an LLM could do this. Been inspired by the excellent websites and resources others have made and posted here, which I will use to find alternatives - but I first needed to know where the problems were!
Im hoping this will make it easier to buy stuff that aligns with my values. Hope this makes sense and helps someone else too!
Edit1: added link to source PDF containing list of companies and their brands. You can download this and search manually to avoid any use of AI. https://files.catbox.moe/jtmcb5.pdf
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The sentiment is great, but I really wish people would stop using AI for everything.
No matter your opinion about AI in general, which I’ll admit, I’m not a fan of, there is a true environmental cost associated with it, and using it for such trivial tasks is not such a great idea.
Edit: wording and format
While I agree the environmental impact of LLM is concerning, I disagree that this is a poor use for it.
It’s pretty much the best case scenario for using an LLM. There are so many companies within companies that if you’re trying to avoid an umbrella brand an LLM can quickly parse through that data and provide a response. Whereas you may take 5 minutes trying to find an answer and if you’re grocery shopping that could add up very quickly.
And this is trivial for an LLM to do and would use barely any compute. As always, companies that are using AI to generate images, replace staff and moderate their websites that are going to be creating 99% of the environment damage by AI. We shouldn’t be going after individuals who are using it to make their day-to-day easier especially if they’re using it to hurt monopolies.
Correct me if I’m wrong, but if I understand correctly from the steps provided, it was manual data extraction.
AI was used to “organize data into a neat PDF”, and to later ask the AI whether a brand is okay to use or not, with a PDF that presumably contains “a list of brands to avoid” according to the prompt. This can literally be a Ctrl+f or something similar.
I’m not going after anyone. Yes, we should be going after corporations, and not only for their environmental footprint, this doesn’t mean we can’t criticize other people.
Plus, I really agree with the sentiment, as already stated. But, imo, this is not the right way to go.
May help if I clarify. The document is ingested into the chat, so acts as a local knowledge base. When I put some random brands into the llm it uses the info from the doc to respond.
I probably could manually search the document (ctrl-f), just find it easier to use the llm approach, especially if inputting in an unstructured/messy way.
Does the llm search itself for subsidiaries of the brands on the PDF on the net? Because it could then be a good use of AI to find the one you stumble upon in the millions of brands big players have participation in…
not deliberately, however when run it did automatically identify a brand (Hellman’s) owned by a multinational NOT in the list (Unilever). I hadn’t included Unilever in the source doc as it is British/Dutch. So it must have used its own knowledge base.
Perhaps it interpreted my preference as wishing to avoid multinationals? This is what it output:
“Based on the list you provided and the document, here are the brands you should avoid if you are following the list:
- Doritos: Owned by PepsiCo.
- Tropicana: Owned by PepsiCo.
- Mentos: Owned by Perfetti Van Melle, not listed in your document, but worth noting.
- Hellmann’s: Owned by Unilever, not listed in your document, but worth noting.
The other brands you mentioned are not listed in the document as brands to avoid. However, it’s always good to double-check with the latest information or packaging details, as brand ownership can change.”
Important perspective. Admittedly I use AI all the time for work so using it in other areas has become second nature (for bettter or worse!)
Also, which AI is this? If people use ChatGPT to avoid evil companies I don’t know how to help them
It’s Mistral Le Chat. I don’t know enough about Mistral tbh though
Yes Mistral. Not too sure about the brand other than they are French, so chose over OpenAI.
Ultimate aim is to host my own local small model on phone or home server, but not quite there yet. Could then use for this and other purposes.
Why not just ctrl-f the PDF?
It’s essentially an image with logos of brands and no text - OP posted it above
Edit: it appears I was wrong, there is also a text only PDF so your point is valid
Does the PDF contain all the products of all the brands associated with each top-level US company (owner)? If not, the LLM can help finding the connections between product/brand and US-based owner, given that it was trained on data about those relations. However, if the relevant training data is lacking or faulty, it could also sometimes result in wrong answers… (but with confidence!)
Sounds like the PDF, assuming it’s accurate and current, is more reliable.
With AI, it might randomly forget stuff that is on the list, and it might randomly add to the list. Personally I wouldn’t rely on it
A good idea, but be weary: LLMs will often give outputs that sound plausible but are actually not consistent with what you gave them. Ultimately, you should check the output every time.
At which point, it may be better to just have a detailed list and do a Find operation. Still plenty of applications for non-AI workflows.
True, there is always that risk.
Can you post the PDF, please? As others have said I’d never use AI for ethical and environmental reasons but I’d love to be able to look up which brands to avoid.
not sure how to upload PDFs, sorry.
Edit: turns out I can’t upload PDFs to lemmy.
If you wanted to make a list yourself it’s a bit of a hassle but not too hard, I just searched for the Wikipedia pages for each of the following companies, type in something like “List of brands for [company name]”. The companies I picked were:
- General Mills
- The Coca-Cola Company
- Mondelez International
- Mars
- Procter & Gamble (P&G)
- PepsiCo
- Nestlé (not a US company, but have avoided for years)
Once you have the page you can just select the list directly from the page, copy, and then paste into a text doc or something. You could then search from it, and add to it as well. It may be a bit untidy, but search should still work.
Hope that helps, and sorry I couldn’t share the document directly and save you the hassle.
There’s lots of diiferent file hosts for exactly this purpose. I’m partial to this one: https://catbox.moe/
Thank you for that. I thought it would be blocked where I live, but seems to work.
Here is a link to the source document
https://files.catbox.moe/jtmcb5.pdf
I feel like having a csv (or any table) and searching that would have the same result, work offline, and be much less computationally intensive?
You’d need a list of every single product and brand that you want to avoid these companies own thousands of brands.
From what op wrote, they have a list of brand names they wants to avoid. Asking about doritos, and searching for it in a table, would have about the same result from that starting point.
From their other comment, they only have a list of main corporations.
https://feddit.uk/comment/15726732
They copied the list of brands owned by each of those conglomerates from Wikipedia.
And with the tool from OP, you have to list every single product and brand that you want to avoid.
By his own admission this only ingests and processes brands given to it via a PDF he gave it.
He is literally using AI instead of ctrl+f because “it’s easier”
Twinings English Tea should be avoided because it’s dogshit. Buy English English Tea. Nobody else seems to get it right.
I don’t get it. You’re making fun of the person using the spicy word predictor, right?
Sorry, I’m not familiar with the reference.
Can I just have a chart or picture pls
This is the original chart I saw on r/BoycottUSA.
Any way to get this in a higher resolution?
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.