Organic Maps. Make sure you download the areas beforehand. The resolution for walking paths is much nicer, and you can clearly see the routes of temples and other points of interest.

It also shows data about drinking faucets, toilets, and other things provided by users.

That person clearly hasn't witnessed Dutch students carrying a whole bedroom on the back of their bike.

How will you move to WhatsApp if everyone else uses iMessage? Europe has the same issue, but reversed. Everyone uses WhatsApp and can't jump to Signal/Telegram because they're not as popular.

With the way current LLMs operate? The short answer is no. Most machine learning models can learn the probability distribution by performing backward propagation, which involves "trickling down" errors from the output node all the way back to the input. More specifically, the computer calculates the derivatives of each layer and uses that to slowly nudge the model towards the correct answer by updating the values in each neural layer. Of course, things like the attention mechanism resemble the way humans pay attention, but the underlying processes are vastly different.

In the brain, things don't really work like that. Neurons don't perform backpropagation, and, if I remember correctly, instead build proteins to improve the conductivity along the axons. This allows us to improve connectivity in a neuron the more current passes through it. Similarly, when multiple neurons in a close region fire together, they sort of wire together. New connections between neurons can appear from this process, which neuroscientists refer to as neuroplasticity.

When it comes to the Doom example you've given, that approach relies on the fact that you can encode the visual information to signals. It is a reinforcement learning problem where the action space is small, and the reward function is pretty straight forward. When it comes to LLMs, the usual vocabulary size of the more popular models is between 30-60k tokens (these are small parts of a word, for example "#ing" in "writing"). That means, you would need a way to encode the input of each to feed to the biological neural net, and unless you encode it as a phonetic representation of the word, you're going to need a lot of neurons to mimic the behaviour of the computer-version of LLMs, which is not really feasible. Oh, and let's not forget that you would need to formalize the output of the network and find a way to measure that! How would we know which neuron produces the output for a specific part of a sentence?

We humans are capable of learning language, mainly due to this skill being encoded in our DNA. It is a very complex problem that requires the interaction between multiple specialized areas: e.g. Broca's (for speech), Wernicke's (understanding and producing language), certain bits in the lower temporal cortex that handle categorization of words and other tasks, plus a way to encode memories using the hippocampus. The body generates these areas using the genetic code, which has been iteratively improved over many millennia. If you dive really deep into this subject, you'll start seeing some scientists that argue that consciousness is not really a thing and that we are a product of our genes and the surrounding environment, that we act in predefined ways.

Therefore, you wouldn't be able to call a small neuron array conscious. It only elicits a simple chemical process, which appears when you supply enough current for a few neurons to reach the threshold potential of -55 mV. To have things like emotion, body autonomy and many other things that one would think of when talking about consciousness, you would need a lot more components.

Wow, some of the comments on that article saying Google should have made Android closed source are mindboggling. They realize they never would have had their current worldwide marketshare if they did that, no?

But maybe if they did, we would have had more people working on true linux phones 🤔 I'm a bit torn on this one haha.

Cheats nowadays don't even need to run on your machine. You can get a second computer that is connected to your computer via a capture card, analyze your video feed with an AI and send mouse commands wirelessly from it (mimicking the signal for your USB receiver).

These anti-cheats are nothing more than privacy invasion, and any game maker that believes they have the upper hand on people that want to cheat are very wrong.

Opening up anti-cheat support for Linux would at least make them more creative at finding these people from their behaviour, and not from analysing everything that's running in the background.

It's amazing that Linux gaming is becoming a thing that's better sometimes than Windows gaming (minus the getting banned part in some games). I also like that AMD is making some big pushes on open source drivers, plus their ROCm open-source alternative to CUDA.

This is a great time for Linux users! :)

What a stupid article. It's like saying "stop using electric vehicles because you can't use gas stations". I don't understand why he's so adamant about this? It's not like Wayland had about 20 years of extra time to develop like X11. People keep working on it, and it takes time to polish things.

Sooooo tinyyyy 🥺

If it's really warm, you can't really blame her. It's just a brief period during the year when she'll be like this, so what's the harm? Not sure where you live, but I'd wear nothing but my underwear where I am right now.

I'd say the best course of action would be to say nothing and just ignore it. If my step father would say something like that to me, I'd feel a bit uncomfortable. It's up to you though, you know your family better than we do.

I've looked into this before, and it really depends on the type of RFID they use. Older versions have been cracked, but newer ones can't be copied over (easily or at all).

If your company is serious about security, you will not be able to put the content of the card on your phone. What newer, more secure versions of RFID do is receive a code from the reader system, replies to it internally, and then sends back the answer. Even if you try to copy this over, you will not be able to open the doors of your facility.

I think the first step should be to use one of these apps that can read RFID and see what protocol your card uses. If it's an unsecure one (i.e., only pushes out a code and checks it in their database that it's yours), you could probably try to copy it over. However, if it's not, you could also just dissolve the card with some acetone and place the resulting wires in your phone's case, near the bottom. Like that, it shouldn't interfere with your phone's NFC, as that one is usually next to the top area of your phone.

Framework laptops are getting better. Not Apple levels good, but it certainly beats them in average longevity.

The only hope with Apple is having the EU step in again to stop this kind of bullcrap.