GorkSorry, can't do scarves.
I’m sad that the relevant xkcd is kinda obsolete now (because it’s been long enough for that research team to finish going its thing).
What would be a “nearly impossible” task in this post-AI world? Short of the provably impossible tasks like the busy beaver problem (and even then, you would be able to make an algorithm that covers a subset of the problem space), I really can’t think of anything.
Do you have a link explaining what deterministic means in the context of AI? Preferably for noobs
Deterministic means for the same input you always get the same output.
For AI it would be if you ask it a question multiple times using exactly the same words you would get the same answer.
Thank you!
Still going to be non-deterministic for any commercial AIs offered to us. It’s a weird technology. I had a link to an article explaining why but I can’t find it anymore.
Most AI are deterministic, it’s only a small subset of AI that are non-deterministic, and in those cases it’s often by design. Also, in many cases, the AI itself is deterministic, but we choose to use the output in a non-deterministic way, e.g. the AI gives a probability output, and will always give the same probabiliies for the same input, and instead of always choosing the one with highest probability, we choose based on the probability weight, leading to a non-deterministic output.
Tl;Dr. Non-determinism in AI is often not an inherit property of the model, but a choice in how we use the model.
Okay, probably fair. I’ve only been working with LLMs that are extremely non-deterministic in their answers. You can ask same question 17 times and the answers have some variance.
You can request an LLM to create an OpenTofu scripts for deploying infrastructure based on same architectural documents 17 times, and you’ll get 17 different answers. Even if some, most or all of them still manage to get the core principals right, and follow the industry best practices in cases that were not specified, you still have large differences in the actual code generated.
Tlaloc_TemporalI think more important would be non-chaotic answers. It doesn’t matter too much if their not identical if the content is roughly the same. But if you can get significantly different answers from trivial changes in prompt wording, that really does break things.
Still doesn’t mean it’s correct though.
Reliability. We can do pretty much anything… with a 20% success rate.
Yeah, of course. I think I was misunderstood, which is probably why I got so many downvotes.
Most tasks are possible (and often trivial, given access to the right library) with traditional programming. If it’s possible to do them this way, this is by far the best approach.
Of the things that are not reasonably doable this way, like determining whether a photo is of a bird as in the comic, quite a lot of them are possible nowadays with machine learning (AKA “AI”), and often trivial given access to the right pre-trained model. And in this realm, I would say success rates are very often higher than that. Image recognition is insanely good.
What I’m asking is, what’s a task that’s virtually impossible both with programming and with machine learning?
“Mission critical” tasks which require very high and provable reliability, such as autonomous driving cars, technically fit this question but I think it’s ignoring the point of the question.
And if you were going to mention counterexamples where specially crafted images get mislabeled by AI: this is akin to attacking vulnerabilities in traditional software, which have always existed. If you’re making a low-stakes app or a game, this doesn’t matter.
I think if we’re looking at it conceptually, it has to be something that is too complex to do with traditional heuristics reliably and also doesn’t allow us to generate enough data for good DL results.
There’s also liability to consider, for cases like trains. Trains are dead simple to automate, but there needs to be someone there for long tail events, to make people feel safer, and as a fall guy in case of accidents. So in practice it’s impossible to automate beyond subways where you control the entire environment despite the tech being fully capable of it.
Google photos is alarmingly good at object and individual recognition. It’ll probably be used by the droid war killbots to distinguish “robot” from “human with bucket on head.”
whotookkarlNot a hot dog
Immich blows Google photos completely out of the water on this, and all locally.
MinnesotaGoddamyou linked to the page, not the image
My bad. I throught doing that with the page for X CD worked. Could have sworn I’ve done that before
Yeah, this is how you summon demons.