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Mushroom hunting with LLMs: what can go wrong?

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Re: Mushroom hunting with LLMs: what can go wrong?

#23
post #6

I think the more important question is: have people really run out of interesting flavors at their local stores and restaurants, that they are so obsessed with eating things they find growing on the ground? I’ll never understand mushroom culture.

Some reasons to forage (applies to berries, nuts, fruits, not just mushrooms):

* Foraging is very satisfying to do

* Foraging allows you to participate in your cultural practices (although sadly many people in the US are long-cut off from such cultural knowledge)

* You can get fresher food foraging

* There absolutely are interesting varieties that aren't sold because they are hard to farm/transport/store etc.

* Foraged food is free

Re: Mushroom hunting with LLMs: what can go wrong?

#24
I've used Gemini quiet a bit for foraging. It's definitely a "trust, but verify" situation. It's really good at at least getting you in the right lane to verify, rather than having to comb hundreds of pictures.

So even if it's wrong, a short verification usually reveals why it was wrong. I haven't had a situation yet where it was catastrophically wrong (i.e. the mushroom it called out looks nothing like the mushroom imaged). It also will generally warn of lookalikes.

I also use it a lot for general plant ID, and it's really impressive there too, with much lower stakes (I'm not eating those).

Re: Mushroom hunting with LLMs: what can go wrong?

#25
I actually find AI-based plant and mushroom identifiers very interesting. They make being curious about such things as a beginner or layperson more accessible, and you learn some patterns.

However it's very obvious that you shouldn't rely on them to decide what to put in your body. All those apps that I have seen (I guess the responsible ones?) will warn you not to do it. That's not what it's for.

Re: Mushroom hunting with LLMs: what can go wrong?

#27

Giving the impossibly high standards people here have for identifying a mushroom, it’s a wonder that they would eat a mushroom at all. You may not trust an LLM, but how would you even trust yourself? Who would you ever trust?

Someone who your estate can sue and get a settlement of a dollar value equal to your own estimation of your future life's worth?

Re: Mushroom hunting with LLMs: what can go wrong?

#28

Is it possible to reliably (>99%) identify mushrooms from a single image, with any method? All image datasets have an intrinsic minimum error that comes from the limit of information in the data, regardless of what model or method you use to analyze it. You might not be able to tell apart two similar-looking mushroom species just by looking.

No. At the very least you need a photo of both the upper side of the cap and the gills.

Re: Mushroom hunting with LLMs: what can go wrong?

#29
Ha! I just had a very interesting conversation with ChatGPT about a mushroom that I found in my front lawn. I am 99% sure it was an edible oyster mushroom which included analysis the of the size, growing substrate (dead ash tree root which turns out to be a useful identifying characteristic -- I learned a lot about mycology in a short time). Plus I don't use fertilizers, herbicide, pesticides, fungicides (obviously) on my lawn so I think it would have been quite tasty. Did I eat it? Hell, no. But then I got to thinking, would I trust a human to correctly identify it? I am actually not sure I would either. Penalty is just too great for misidentification LLM or not.
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