Wouldn’t be ethical to use the murder of children as a political weapon

How the hell can you afford to not cook your own meals??

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Michael Jackson???

This explains why small dogs make so much noise

He should try rotating a cow with his mind

Huh

Would’ve been awesome to see Project Tamriel Rebuilt in Skywind, but that’s unrealistic

You’re probably right, but I think it’s made worse by AI. Jumping into the code after 3 hours with Claude doing the dirty work feels like an impossibility

I’m really just tricking my brain to think I’m being more productive lmao.

But then again, some of the stuff I’m working on is in principle quite easy to do, but is also outside of my skillet, for these cases I benefit from using AI.

IMO the challenge is knowing how and when to use AI. Small companies using AI correctly can probably benefit massively from it. Although it’s risky

If I use AI for my personal coding projects I’ve found that if the task is unsolvable by the ai model, I’m not able to sit down and do it myself until the next day. It’s like I’ve got to reset my brain.

If I want to save time and use AI for a specific part of the code, it probably saves me 5 hours of work. But then I spend five hours yelling at the ai to try to get it to actually solve it. Next day I’ll just fix it myself in 2 hours.

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You’re right, but there’s still a lot of different kinds of AI. The hype is all about LLMs. Of course there are similarities between them. Most AIs use artificial neural networks for instance. The training process of these networks, and their architecture is usually what separates them.

Reinforcement learning is oftenly used to play video games, or control robots. They learn by taking actions in an environment, and getting feedback for their actions.

Supervised learning can be used for object detections in images for instance. You manually create a dataset where you label each pixel of an image containing a dog for instance, and you end up with a dataset of labeled images with dogs. Then you train the neural network to spot the similarities. One researcher trained such a network to separate between dogs and wolves a few years back. But when they performed explainability analysis on the output they could see that the AI had instead noticed that snow was present on most images with wolves, so it would classify every image they provided containing snow was a wolf lol.

Then you have unsupervised learning which is basically to just let the neural network learn on its own the structure and relationships in the data.

Of course there are many different variations of training, oftentimes multiple stages consisting of some of, or even all of the above. It’s a mess

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The zombies are NOT gonna like this

Is this something I’m too European to understand?

Shows just how important it is to learn from your country’s history

Yes please, the nsfw feature is there for a reason

ツ