Problem is the e2e encryption. The bridge basically decrypts your emails and makes them locally accessible.

It is technically impossible at the moment to keep your emails end-to-end encrypted and not have to use a bridge for your client of choice. It will only be possible if your client of choice partners with Proton to integrate them, or if a standard for e2e encrypted emails pops up and both Proton and your client adopt it.

Because forking a buggy suite isn’t always the best choice? If they have the ressources, and they do, making their own is best for everyone. More choices.

Obviousness? If you mass layoff your tech staff, you take the risk of more technical failures.

A smaller staff cannot do the same work as a larger one, and I guarantee you they’re being asked to progress at the same speed. So, the tradeoff is on the quality of the product and the testing, not on the speed of development.

Not a single part of your answer is about how the brain works.

Concepts are not things in your brain.

Consciousness is a concept. It doesn’t exist in your brain.

Thinking is how a human uses their brain.

I’m asking about how the brain itself functions to intepret natural language.

That doesn’t answer the question you quoted.

Of course the “understanding” of an LLM is limited. Because the entire technology is new, and it’s far from being anywhere close to being able to understand to the level of a human.

But I disagree with your understanding of how an LLM works. At its lower level, it’s a bunch on connected artifical neurons, not that different from a human brain. Now please don’t read this as me saying it’s as good as a human brain. It’s definitely not, but its inner workings are not so far. As a matter of fact, there is active effort to make artificial neurons behave as close as possible to a human neuron.

If it was just statistics, it wouldn’t be so difficult to look at the trained model and identify what does what. But just like the human brain, it is incredidbly difficult to understand that. We just have a general idea.

So it does understand, to a limited extent. Just like a human, it won’t understand what it hasn’t been exposed to. And unlike a human, it is exposed to a very limited set of data.

You’re putting the difference between a human’s “understanding” and an LLM’s “understanding” in the meaning of the word “understanding”, which is just a shortcut to say that they can’t be compared. The actual difference is in the scope of understanding.

A lot of the efforts in the AI fields gravitate around imitating a human brain. Which makes sense, as it is the only thing we know that is capable of doing what we want an AI to do. LLMs are no different, but their scope is limited.

They are talking at a technical level only on one side of the comparison. It makes the entire discussion pointless. If you’re going to compare the understanding of a neural network and the understanding of a human brain, you have to go into depth on both sides.

Mysticism? Lmao. Where? Do you know what the word means?

You’re entering a more philosophical debate than a technical one, because for this point to make any sense, you’d have to define what “understanding” language means for a human in a level as low as what you’re describing for an LLM.

Can you affirm that what a human brain does to understand language is so different to what an LLM does?

I’m not saying an LLM is smart, but saying that it doesn’t understand, when having computers “understand” natural language is the core of NLP, is meh.

That is actually incorrect. It is also a language understanding tool. You don’t have an LLM without NLP. NLP includes processing and understanding natural language.

Haha. Ha.

It can definitely break when mishandled. With kids you probably don’t want glass furniture.

Good luck having that shitty tech win over Europe, where fiber is proliferating particularly quickly. We all know satellite internet cannot come close to the speed and reliability of fiber.

Plus we hate Musk.

It’s good for remote areas and at sea, it’s shit everywhere else

For a small to medium company it’s not necessarily worth it.

I use my own gitea server. If I was willing to pay for a more solid service I’d probably go for GitLab.

At this point I am assuming that it is actually a docker issue.

Can you show your docker daemon configuration?

Hard to tell where it is on your machine. Try ~/.docker/daemon.json, or maybe /etc/docker/daemon.json… Else look for it haha

Well this is getting weird.

Have you tried checking if your os has a resolution cashe active? If so, try to flush it.

I have read the rest of the comments to see what you already tried. I was about yo tell you to use sysctl to disable ipv6 but it looks like that is already done.

As a matter of fact, it looks like you have no ipv6 address at all. Which makes me think that your DNS config might be off, as it shouldn’t even attempt an ipv6 resolution.

Can you show me the content of /etc/resolv.conf ?

Also install “dig” if you dont have it already and show the output of

dig registry-1.docker.io

I honestly don’t understand why Github hasn’t been abandoned by users at this point. If I were a company, I’d either go to the competition, who is just as good if not better, or host in-house if the means are there.

I’m just a freelancer and I gave up on github 3 years ago

What version of Pi OS are you running?

(we can move to DMs if you wish, it will be less polluting, or stay in the comment thread if you don’t feel safe in DMs)