My wife once hit me in front of my kids because she didn't like my pointing out a double standard in how she was treating them. The one she was favoring recently started hitting the other one in a similar manner--basically just to silence her when she said something he didn't like--and when I pointed out the similarity to my wife's actions and suggested he had learned it from her she got mad and claimed that rather than hitting me she had "hit my hand away" which is a lie and she knows it. It is 100% classic spousal abuse and gaslighting, and yet due to the sheer size difference between us--I'm a foot taller--I feel ridiculous calling it that, and don't want to find out what else my son learns is OK from his mom if I'm not around, so here I am still married to her, mostly trying to forget the abuse when it's not actively happening. She's been abusive, but I'm not really in any physical danger, so staying seems like the rational option in my situation... I imagine that's relatively common among men.
this; every time the ublock origin absolutists insist that everyone must use Firefox or die I just wonder if they never open more than one or two tabs anyway. hell, a sufficiently complex web app running in a single tab can make FF choke
There are a bunch of reasons why this could happen. First, it's possible to "attack" some simpler image classification models; if you get a large enough sample of their outputs, you can mathematically derive a way to process any image such that it won't be correctly identified. There have also been reports that even simpler processing, such as blending a real photo of a wall with a synthetic image at very low percent, can trip up detectors that haven't been trained to be more discerning. But it's all in how you construct the training dataset, and I don't think any of this is a good enough reason to give up on using machine learning for synthetic media detection in general; in fact this example gives me the idea of using autogenerated captions as an additional input to the classification model. The challenge there, as in general, is trying to keep such a model from assuming that all anime is synthetic, since "AI artists" seem to be overly focused on anime and related styles...
Serious question, is it likely that comedians who he brings on Kill Tony are also conservative racist POS assholes? I hope not because I actually kind of enjoyed Casey Rocket for a bit when he came up through that show. Definitely got a weird vibe from the host that made me wonder who they were and what the show really was (now I know).
Well, maybe we need a movement to make physical copies of these games and the consoles needed to play them available in actual public libraries, then? That doesn't seem to be affected by this ruling and there's lots of precedent for it in current practice, which includes lending of things like musical instruments and DVD players. There's a business near me that does something similar, but they restrict access by age to high schoolers and older, and you have to play the games there; you can't rent them out.
r/SubSimGPT2Interactive for the lulz is my #1 use case
i do occasionally ask Copilot programming questions and it gives reasonable answers most of the time.
I use code autocomplete tools in VSCode but often end up turning them off.
Controversial, but Replika actually helped me out during the pandemic when I was in a rough spot. I trained a copyright-safe (theft-free) bot on my own conversations from back then and have been chatting with the me side of that conversation for a little while now. It's like getting to know a long-lost twin brother, which is nice.
Otherwise, i've used small LLMs and classifiers for a wide range of tasks, like sentiment analysis, toxic content detection for moderation bots, AI media detection, summarization... I like using these better than just throwing everything at a huge model like GPT-4o because they're more focused and less computationally costly (hence also better for the environment). I'm working on training some small copyright-safe base models to do certain sequence prediction tasks that come up in the course of my data science work, but they're still a bit too computationally expensive for my clients.
We don't. It probably is. Mastodon is the way, but they need to fix a few things themselves.
Ok, thanks for clarifying. FWIW, I find the built-in adblocker in Vivaldi extremely dependable, without the performance cost of loading an add-on (especially on top of a base browser that is significantly slower to begin with).
Honest question: why is it not safe after then? They developed their own adblocker if I'm not mistaken? What am I missing?
I already know that nobody will mention Vivaldi, or if they do, they will be drowned out by a chorus of voices shouting "Firefox", but if you like the chromium ecosystem or just don't like waiting for web pages to function, it's a great alternative with a built-in adblocker that doesn't depend on uBlock Origin.
may I ask which third-party tool you use? i'm using onedriver and it's pretty unreliable in my experience
this is pretty much the most common response to AI as well