Why do I still have to work my boring job while AI gets to create art and look at boobs?
Because life is suffering and machines dream of electric sheeps.
I dream of boobs.
The most beneficial application of AI like this is to reverse-engineer the neural network to figure out how the AI works. In this way we may discover a new technique or procedure, or we might find out the AI’s methods are bullshit. Under no circumstance should we accept a “black box” explanation.
good luck reverse-engineering millions if not billions of seemingly random floating point numbers. It’s like visualizing a graph in your mind by reading an array of numbers, except in this case the graph has as many dimensions as the neural network has inputs, which is the number of pixels the input image has.
Under no circumstance should we accept a “black box” explanation.
Go learn at least basic principles of neural networks, because this your sentence alone makes me want to slap you.
Don’t worry, researchers will just get an AI to interpret all those floating point numbers and come up with a human-readable explanation! What could go wrong? /s
iirc it recently turned out that the whole black box thing was actually a bullshit excuse to evade liability, at least for certain kinds of model.
Well in theory you can explain how the model comes to it’s conclusion. However I guess that 0.1% of the “AI Engineers” are actually capable of that. And those costs probably 100k per month.
It depends on the algorithms used. Now the lazy approach is to just throw neural networks at everything and waste immense computation ressources. Of course you then get results that are difficult to interpret. There is much more efficient algorithms that are working well to solve many problems and give you interpretable decisions.
Link?
This ones from 2019 Link
I was a bit off the mark, its not that the models they use aren’t black boxes its just that they could have made them interpretable from the beginning and chose not to, likely due to liability.
our brain is a black box, we accept that. (and control the outcomes with procedures, checklists, etc)
It feels like lots of prefessionals can’t exactly explain every single aspect of how they do what they do, sometimes it just feels right.
What a vague and unprovable thing you’ve stated there.
If it has just as low of a false negative rate as human-read mammograms, I see no issue. Feed it through the AI first before having a human check the positive results only. Save doctors’ time when the scan is so clean that even the AI doesn’t see anything fishy.
Alternatively, if it has a lower false positive rate, have doctors check the negative results only. If the AI sees something then it’s DEFINITELY worth a biopsy. Then have a human doctor check the negative readings just to make sure they don’t let anything that’s worth looking into go unnoticed.
Either way, as long as it isn’t worse than humans in both kinds of failures, it’s useful at saving medical resources.
This is exactly what is being done. My eldest child is in a Ph. D. program for human - robot interaction and medical intervention, and has worked on image analysis systems in this field. They’re intended use is exactly that - a “first look” and “second look”. A first look to help catch the small, easily overlooked pre-tumors, and tentatively mark clear ones. A second look to be a safety net for tired, overworked, or outdated eyes.
You in QA?
HAHAHAHA thank fuck I am not
Nice comment. I like the detail.
For me, the main takeaway doesn’t have anything to do with the details though, it’s about the true usefulness of AI. The details of the implementation aren’t important, the general use case is the main point.
Not my proudest fap…
Honestly with all respect that is really shitty joke. It’s god damn breast cancer, opposite of hot
I usually just skip them mouldy jokes but like cmon that is beyond the scale of cringe
Terrible things happen to people you love, you have two choices in this life. You can laugh about it or you can cry about it. You can do one and then the other if you choose. I prefer to laugh about most things and hope others will do the same. Cheers.
I mean do whatever you want but it just comes off as repulsive. like a stain of shit on the new shoes.
This is public space after all, not the bois locker room so that might be embarrassing for you.And you know you can always count on me to point stuff out so you can avoid humiliation in the future
Thanks for your excessively unnecessary put down. Don’t worry though. No matter how hard you try, you won’t be able to stop me from enjoying my life and bringing joy to others. Why are you obsessed with shit btw?
Sorry for that comment, I had shitty time back then and shouldn’t be so aggressive to you PlantDad
No worries. I wish you green gardens and peaceful sunsets.
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That’s a challenging wank
This is similar to wat I did for my masters, except it was lung cancer.
Stuff like this is actually relatively easy to do, but the regulations you need to conform to and the testing you have to do first are extremely stringent. We had something that worked for like 95% of cases within a couple months, but it wasn’t until almost 2 years later they got to do their first actual trial.
And if we weren’t a big, broken mess of late stage capitalist hellscape, you or someone you know could have actually benefited from this.
I’m involved in multiple projects where stuff like this will be used in very accessible manners, hopefully in 2-3 years, so don’t get too pessimistic.
pretty sure iterate is the wrong word choice there
They probably meant reiterate
Dude needs to use AI to fix his fucking grammar.
AI should be used for this, yes, however advertisement is more profitable.
I had a housemate a couple of years ago who had a side job where she’d look through a load of these and confirm which were accurate. She didn’t say it was AI though.
For a little while ours was used for this. Covid too. Client was under an alias and wasn’t with us long so no idea.
Can’t pigeons do the same thing?
Wanna bet it’s not “AI” ?
Learning machines are ai as well, it’s not really what we picture when we think ai but it is none the less.
This seems exactly like what I would have referred to as AI before the pandemic. Specifically Deep Learning image processing. In terms of something you can buy off the shelf this is theoretically something the Cognex Vidi Red Tool could be used for. My experience with it is in packaging, but the base concept is the same.
Training a model requires loading images into the software and having a human mark them before having a very powerful CUDA GPU process all of that. Once the model has been trained it can usually be run on a fairly modest PC in comparison.
https://youtube.com/shorts/xIMlJUwB1m8?si=zH6eF5xZ5Xoz_zsz
Detecting is not enough to be useful.
The test is 90% accurate, thats still pretty useful. Especially if you are simply putting people into a high risk group that needs to be more closely monitored.
“90% accurate” is a non-statement. It’s like you haven’t even watched the video you respond to. Also, where the hell did you pull that number from?
How specific is it and how sensitive is it is what matters. And if Mirai in https://www.science.org/doi/10.1126/scitranslmed.aba4373 is the same model that the tweet mentions, then neither its specificity nor sensitivity reach 90%. And considering that the image in the tweet is trackable to a publication in the same year (https://news.mit.edu/2021/robust-artificial-intelligence-tools-predict-future-cancer-0128), I’m fairly sure that it’s the same Mirai.
Also, where the hell did you pull that number from?
Well, you can just do the math yourself, it’s pretty straight-forward.
However, more to the point, it’s taken right from around 38 seconds into the video. Kind of funny to be accused of “not watching the video” by someone who is implying the number was pulled from nowhere, when it’s right in the video.
I certainly don’t think this closes the book on anything, but I’m responding to your claim that it’s not useful. If this is a cheap and easy test, it’s a great screening tool putting people into groups of low risk/high risk for which further, maybe more expensive/specific/sensitive, tests can be done. Especially if it can do this early.
Ductal carcinoma in situ (DCIS) is a type of preinvasive tumor that sometimes progresses to a highly deadly form of breast cancer. It accounts for about 25 percent of all breast cancer diagnoses.
Because it is difficult for clinicians to determine the type and stage of DCIS, patients with DCIS are often overtreated. To address this, an interdisciplinary team of researchers from MIT and ETH Zurich developed an AI model that can identify the different stages of DCIS from a cheap and easy-to-obtain breast tissue image. Their model shows that both the state and arrangement of cells in a tissue sample are important for determining the stage of DCIS.
https://news.mit.edu/2024/ai-model-identifies-certain-breast-tumor-stages-0722
How soon could this diagnostic tool be rolled out? It sounds very promising given the seriousness of the DCIS!
As soon as your hospital system is willing to pay big money for it.
The AI genie is out of the bottle and — as much as we complain — it isn’t going away; we need thoughtful legislation. AI is going to take my job? Fine, I guess? That sounds good, really. Can I have a guaranteed income to live on, because I still need to live? Can we tax the rich?
