It was sooo frustrating cause they shut down Harris at one point, like stop letting Trump steam roll you and be consistent on who can speak.
It was sooo frustrating cause they shut down Harris at one point, like stop letting Trump steam roll you and be consistent on who can speak.
Microsoft actually ported their keyboard to android, called “Microsoft SwiftKey” or similar. It’s a great keyboard, but apparently now has copilot ಠ_ಠ
Yeah I read another article on this and it’s very unclear what was illegal. If I had to guess they’re getting him on the technicalities of the process rather than on the actual streaming.
Edit: so I looked it up and realized wire fraud is “electronic” fraud, not bank wiring - Online definition
Which given the way the guy did it definitely seems to meet that definition.
One solution that’s been proposed is to cryptographic ally sign content. This way someone can prove they “made” the content. It doesn’t prove the content is real, but means you can verify the originator.
However, at the end of the day, you’re still stuck with needing to decide who you trust.
I was responding to an above comment. The guy who was arrested in op’s article was posting clips from movies (so not deep fakes).
That being said, for deepfakes, you’d need the original video to prove it was deepfaked. Additionally, you’d then probably need to prove they used a real person to make the deep fake. Nowadays it’s easy to make “fake” people using AI. Not sure where the law sits on creating deepfakes of fake people who resemble other people.
Why do you not know how to feel about it?
To me it’s just clip collection, you could have a collection of all death scenes or car cashes. They’re all just clips from videos people agreed to make for public consumption.
It’s messy legislation all around. When does it become porn vs art vs just erotic or satirical? How do you prove it was a deep fake and not a lookalike? If I use a porn actress to make a deep fake is that also illegal or is it about how the original source content was intended to be used/consumed?
I’m not saying that we should just ignore these issues, but I don’t think any of this will be handled well by any government.
The study is still valuable, this is a math class not a technology class, so understanding it’s impact is important.
Also, this is his campaign staff at an event he attended. Can’t recall what people thought was on the laptop, but Hunter Biden is not a part of Bidens campaign or presidency.
I think this is the best response in this thread.
Software engineering is a lot more than just writing some lines of code and requires more thought and planning than can be realistically put into a prompt.
You’re right, I thought that paper came out in 2016.
I wouldn’t say worst, but maybe greatest difference in expectation vs reality - “My Time at Portia”.
Cutscenes and voice acting were janky. The UI felt like it was originally an MMO and feels odd for a single player game. The gameplay loop felt tedious and seemed to disrespect the player’s time.
Maybe I needed to give it more time, but for a game that I thought had generally good/great reviews, it wasn’t clicking for me.
LLMs have been around since roughly 2016 2017 (comment below corrected me that Attention paper was 2017). While scaling the up has improved their performance/capabilities, there are fundamental limitations on the actual approach. Behind the scenes, LLMs (even multimodal ones like gpt4) are trying to predict what is most expected, while that can be powerful it means they can never innovate or be truth systems.
For years we used things like tf-idf to vectorize words, then embeddings, now transformers (supped up embeddings). Each approach has it limits, LLMs are no different. The results we see now are surprisingly good, but don’t overcome the baseline limitations in the underlying model.
Hahaha, I kept saying this to myself while going through this thread. I mean there is a whole wiki page on the concept of AI winters because it’s such a common occurrence - https://en.m.wikipedia.org/wiki/AI_winter
I think that’s because in computer science most master/slave nomenclature comes from hardware with a command/control structure (still notable in things like Spark where the namenode/master node controls the data nodes).
GIT just took naming conventions from other existing design patterns (although I should probably look up sources to verify that assumption).
Yeah that’s what I was trying to call out. Also seems some people aren’t aware that many of these investment properties were never built, so the people lost their money and the asset behind it.
With things like wsl, conda has also become less useful. Anaconda is terrible software and the need for conda managed packages is mostly lost outside of the windows OS in my opinion.
I could be wrong, but I think they’re referring to all the middle class Chinese who were using housing as an investment vehicle (cause that was a common thing in China to my understanding).
Yeah they took that prediction an odd step too far.
This is what I was going to say.