Anyway I'm a student so I'm not looking for something stable. BTW now it's getting better but if I were the client paying for those services I'd be pretty fucking furious for what's going on - guess they'll never know tho
4,620 karma · joined March 12, 2024
Anyway I'm a student so I'm not looking for something stable. BTW now it's getting better but if I were the client paying for those services I'd be pretty fucking furious for what's going on - guess they'll never know tho
I actually do since I'm Italian lol
Don't get me wrong, what has happened to you feels at best a bad practice, at worst something that goes on the news or that has a legal proceeding afterwards. I've known people with good and bad experiences, I can't complain too much about it. Can I ask in which region? Italian Healthcare is somewhat region-dependant
The website wasn't available anymore
Before ai example https://www.sagretoscane.com/sagre/fi/rignano-sullarno/sagra...
Post Ai example https://www.instagram.com/p/DZiKFZgIwcY/
Here's an article by the biggest online Italian newspaper, worth reading translated https://www.ilpost.it/2026/07/26/ai-locandine-sagre/
So I still have to do things concretely and have moved to another country, for now I have mostly read papers (...). But well anyway
There's a class of ml algorithms that belong to continuous learning, what they do is integrate knowledge as they operate. In short, the difference between a traditional ml is that once it's trained the weights don't change, while here they do.
The thing is, there are a handful of techniques that you can used, based on your scenario, to degrade the performance of these models. In a white box attack you assume you have access to training data and training process. you can alter the training data, for example in the computer vision field you can add a small perturbation to images (not visible to human eye) so that the model might learn to recognize that pattern rather than the actual animal in picture for example. Or you might swap labels. But white attacks sound kinda obvious, come on... Well mostly, some white box attacks are more subtle and can be used to put a backdoor in a model that only activates when it is seen again during operation, much more stealthy and dangerous because you might target a very narrow class or a single one without degrading its performance for others. Example, you put a shape on a "stop" sign photo, and that shape gets recognized as "go" by a self driving car which now doesn't recognize the stop sign, but recognizes stop signs without that shape glued to it
A black box attack such as rip https://arxiv.org/abs/2412.01154
Can operate without having access to the model or the training process. The gist is, continual learning models might make a few errors when operating (as every ml model), and it's not a problem if they ingest them and update their model based on an incorrect prediction, in a regular scenario... But in rip, you craft a dataset of predictions you know are incorrect (you have a photo, you know it's cat, model predicts dog) and you send them to the model a lot of times. The model eventually will have degraded performance because continual learning models are updated based on the predictions they make, and making a lot of bad guesses degrades performance.
There are other attacks that are not white or black box but in between, assuming you have a copy of the model can allow you to craft an image which is made so that when sent to the model, what the model does when updating the weights is basically climbing the gradient
I'll leave a few links because I wrote this in a rush when busy
Models Cotta https://arxiv.org/abs/2203.13591 Continual Mae https://arxiv.org/abs/2312.12480
Attacks https://arxiv.org/abs/2308.08505
https://proceedings.iclr.cc/paper_files/paper/2025/hash/ec4f...
This is a grouping of different techniques and defences for continual learning https://dl.acm.org/doi/full/10.1145/3585385
Can't make it real
I'm not saying it's not true, it's just that it's so hard to follow these things when one is supposed to have a life as well
As an Italian there's definitely been a perceptible shift due to the increase in defense spending. Leonardo now makes TV ads (something I had never seen before), they advertise on newspapers (...)
Off topic, but it's funny to me how the Leonardo TV ads basically skips over the defense part https://www.youtube.com/watch?v=oXytSNOt_0I
i'm 24. I think that improvements in tech nowadays mostly involve the hobbyist of any niche, while the general public is ever more satisfied with what already exists.
sd to hd to full hd was cool, full hd to 1440p i can see the difference, at 4k yes but it is not so big. Miniled is something people won't really care about imho (and they can already go very bright, i'm only waiting for more minileds to be integrated in monitors before changing mine).
Audio, well, most people will be satisfied with cheap razer/gaming/bose/whatever headphones are there. Sure anc is cool if you're in a noisy environment quite often
Bikes, well at 24yo i'm not really knowledgeable to say whether a bianchi that costs more than a motorbike is worth the upgrade from an older model... but ebikes are kinda nice even for people outside of the cycling world
However, what has happened with audio and video - and a change that i can perceive -, is the prices of things (not cpu/gpu related, for obvious reasons) coming down. oleds were so espensive ten years ago, now they are not. 4k minileds monitor are as expensive now as my regular non miniled 1440p va monitor from ~4/5 years ago. Hifiman has (permanently) slashed the prices of its headphones more than once over the years. It is not exciting as new tech but it is "just" nice
p.s. wifi printers are a pain in the ass much more than cable printes, and for llms i am kinda happy with them, i'll give you that, they're a godsend for studying; i'm less excited about the idea they'll replace most workers
Such as?
Also, at least the Italian government is still dancing the tip tap regarding a position on America, not taking any definitive stance or doing anything significantly different than before, which is a big rift wrt what people want. Only exception for defense expenses