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.

I’m also curious about the role pregnancy plays into all of this. Obviously everyone back then would need to help out in any way they could back then, but without contraceptives how frequently would women be pregnant? It seems like that would play the largest contributing factor into roles/responsibilities and the article seems to ignore that issue.

While today you could breastfeed while running a marathon, there wouldn’t be a way to keep the baby close by back then. Additionally, while for the first couple months a pregnancy might not impact your ability to hunt, eventually it certainly would.

The study is still valuable, this is a math class not a technology class, so understanding it’s impact is important.

A lot of the web used to run on flash. Then apple comes around and says “flash is terrible and insecure”. Within a number of years everything moved away from flash, so it’s definitely possible to force the web in new directions.

You’re right, I thought that paper came out in 2016.

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

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.

Thanks, I’ll have to take a look into that, I can definitely tell the microsd struggles (and it would free up my microsd slot for extra steamos storage).

Is that faster than loading it on a microsd card? That’s how I currently boot windows on my steamdeck, but it’s a little slow to load and initial loads for some games can be painful.

I have an SD card with windows installed so I can run windows games without dual booting. It takes a while to startup, but is fine once it gets going.

Certainly not ideal, but that’s a whole OS and it’s decent.

Is this really a backfire? My read is that they’re actually focusing on their core business (plus cutting down marketing). It sounds like the right move, but maybe I’m too optimistic?

It has me oddly hopeful. It sounds like they may have finally realized that they can’t ignore their core product/purpose. However, whether it’s too late or if they have the ability to actually execute is still to be seen.

The thing is that AMD and Nvidia are chip designers not chip makers. While Intel does design and print chips, the reason Intel is so critical (from US perception) is they own the foundries to make chips.

AMD decided years ago to go fabless, as for Nvidia I’m not sure they want to own the fabrication process.

It’s cause GenAI copoted AI. Before all the LLM nonsense most people where using Machine Learning (ML) and Artificial Intelligence (AI) interchangeably.

I hated the use of AI before and now GenAI has made the whole thing 10x worse.