TekMol

I still don't get how copying copyrighted content to your own website and then asking for donations can be a legal business model. Nor how it can be morally justified.

I get that many people like such an archive to be around for consumption. Me too. But, keeping emotions aside, I can't find a justification to violate the rights of creators.

I'm sure many people here will have the knee-jerk reaction to immediately downvote this question. But I know there are also thoughtful people on HN. If some of you have ideas about the legal and moral justification for archive.org's actions, I would like to hear them.

This seems to be the demo:

https://chat.webllm.ai/

I am getting:

    WebGPUNotAvailableError: WebGPU is not supported in
    your current environment, but it is necessary to
    run the WebLLM engine.

On both, FireFox and Chromium on Linux.

I never understood why a program installed in Flatpak is not just a directory on disk.

When you install something via Flatpak, it still changes data in god-knows-what places on my disk. And the software itself has read/write access to god-knows-where on my disk.

The answer is probably "convenience and efficiency". But I would much prefer a "An application is a directory and by default cannot access anything outside of that directory" approach.

SQLite has so many advantages over PostgreSQL.

No deamon. Single file per DB. Less configuration overhead.

I switched back and forth between "with account"/"without account" a few times now and it seems to work just fine. I stay with the no-account state, as it not only removes the nags, the interface is actually much cleaner and more logical

No idea about Lens, because I never used it. Aren't there webapps or web services for everything these days? I do everything that I do only occasionally via webapps. Barcode parsing for example.

Oh, that looks good!

I closed the app, stopped it and cleared the cache. Then restarted it.

The UI is surprisingly sane now. My first impression is that it is much better than before. Everything is neatly layed out in a series of albums, for each the latest images are shown and I can click on the album name and it displays them all.

So I do see my albums. Those seem to be just directories in /Pictures/ which it seems I can edit with the files app?

Am I missing out on anything this way? I don't need search.

All the usualy edit functions like cropping, adjusting colors etc also seem to still be there.

Just tried that.

Unfortunately, it seems to completely mess up the interface?

I couldn't even see all photos anymore. Even though I do not use backup at all. So it is not possible that those photos are in the cloud or something.

I'm only interested in the state-of-the-art model by each provider.

For Google, this is still gemini-3.1-pro-preview, right?

You could just as well use any other coding agent via ChatGPT then, right?

Are you sure ChatGPT on IOS connects directly to the VM? Or via a desktop as the middle man sitting somewhere?

If you really only use ChatGPT on IOS and a VM and nothing else, then I would be curious how you set that up. I do not see a "connect to codex via ssh" in my ChatGPT app. I only see "Connect to a desktop".

Oh HOLY MOLY! Now I see there is not only a "Remote" section in the app but also a "Connection" section where you can add an ssh connection. I need to try that.

Thanks!

Wouldn't such language and reasoning from Anthropic be an argument that they needed written permission to train their model on data from websites?

Has any individual somewhere around the world tested this in court by now? Sued Anthropic for copyright infringement because Claude can reproduce information that is only available on their website?

It shouldn't be that expensive, right? If you sue them for - say - $10000 then what would the costs of such a court case be?

Personally, I think "learning" is not a copyright violation. But if they themselves make it one, then they should also face the consequences, no?

Does this mean it is possible to talk to Codex from ChatGPT on a mobile phone now?

When I tried that with the Codex CLI version on a Linux VM, I did not get it to work. Possibly because OpenAI only supports connecting ChatGPT to a desktop installation of Codex?

I tried

    curl -LsSf https://llama.app/install.sh | sh

and then

    llama serve -hf unsloth/Qwen3-4B-GGUF:Q4_0

Then I get:

    W load: control-looking token: 128247 '</s>' was not control-type; this is probably a bug in the model. its type will be overridden
    Terminated

And the web interface says

    Server unavailable

Maybe it gets killed by the OS because it uses too much RAM?

When I try

    llama serve -hf unsloth/Llama-3.2-1B-Instruct-GGUF:Q4_K_M

It seems to work. Nice.

So this is a VM by Docker?

For those who do not trust

    docker run --rm -it -v "$(pwd)":/work -w /work myaiimage /bin/bash

AND do not want to use some other, free VM for some reason?

Not a Show HN:

https://news.ycombinator.com/showhn.html

As I understand it, this "Application Sandbox" is to prevent app A seeing what app B is doing.

The problem here is a different one: The user granting an app access to their files and then having no way to prevent that app from sending that data to the developer of the app.

This is interesting.

I thought granting internet access to apps is not avoidable on Android.

When an app does not request internet, is it really guaranteed that it cannot talk to the outside world? Or is it having other avenues like opening a browser or some other component with a custom url or something?

Update: I just asked Gemini, and it does not look good:

An Android app without the INTERNET permission is not guaranteed to be isolated from the outside world. While it cannot make direct network connections itself, it can use several other mechanisms to transmit data externally:

Intent-Based Communication (The Browser) An app can launch an explicit or implicit Intent to hand data over to another app that does have internet access.

That means the app can open a system browser using a URL containing the data it wants to transmit.

It can also load a Chrome Custom Tab inside its own UI task, passing data through the URL string.

There is also Inter-Process Communication: If two apps from the same developer share a User ID (sharedUserId), they run in the same process and share all permissions, including internet access.

There is also the concept of Content Providers: Content Providers allow apps to share data. An offline app can write data into a shared database or a public Content Provider. A secondary, online-enabled app can then read that database and upload the contents.

If the algorithm is proprietary, how do you know it is calculating something meaningful?

What does it do? Execute this script nightly?

https://github.com/50YearsPhone/vision-50-years-phone/blob/m...

Is it really necessary to install two huge external dependencies for this, F-Droid and Termux? No easier way to execute a few lines of code?

Also, what does that script even do? As far as I can see: Nothing. It clears files that would not exist if you did not install this whole thing. Is it a complete hoax, or am I missing something?

So is it possible to say "No bots except Google, OpenAI, Grok, Claude and Perplexity"?

As far as I can tell, Google is the only one sending me visitors. And the other big AI players might do so in the future.

Another option would be "No anonymous bots". So at least if a bot would want to crawl my site, they would have to identify themselves. Since the rise of the AI bots, I am getting hurt badly with insane amounts of requests from residential IPs that mimic real humans. The only difference being they don't make me any money. Only produce costs.

By the way, how is the situation over at Amazon's Cloudfront? Do they offer something that helps? Anyone here with them?

Why a laptop at all?

Why not just use a VM in the cloud and just a CLI interface?

It was over $500k in the email I got. Not a fun experience. My hands were trembling.

Makes you wonder - what if there really would be an incident where some massive amount of traffic got routed to your infrastructure by some heavyweight player? Say Wikipedia accidentally switches their IP to your CloudFront? Would you really be on the hook for $500k?

The appeal of GitHub for me is not only in the git hosting, but also in codespaces. It gives me:

    1: An easy way to start a VM
    2: A one-click solution to access it via private https access

So for development, I dont need to dabble with spawning my own Hetzner VM or something. And I also do not have to dabble with getting a temporary domain and DNS so I can set up my own letsencrypt certs and point the domain to that VM.

I can just write an index.html, execute "sudo python -m http.server 80", click the link that then opens to something.app.github.dev and test my new web application.

This is why codespaces make starting a new product idea a thing of like 1 minute instead of 1 hour for me.

Why base the decision on what tools are used by the author and not on the quality of their past contributions?

Which part of looking at the binary to understand how the device works and then writing a driver from scratch that talks to the device would violate copyright?

One would not have copy the implementation. Just use the binary to understand how the hardware device works. Like "Aha, it sends point data as x/y/pressure triplets, each being 16 bit values" etc.

I meant the binary.

With enough patience and spit it should be possible to understand it. And AI can do it while we sleep.

Could AI do it?

Would it work to give the Windows driver to an LLM and tell it to analyze it and write a Linux driver?

    AI isn’t replacing me. Like a toddler, it
    needs to be constantly coached.

Like a toddler, it will grow up.

Humans are really bad at noticing trajectories. They see the current situation. They know what the situation was 5 years ago. But for some reason they do not believe that there is a trajectory. They view the present state as the final destination.

But why recruit people, now that we have AI?

Couldn't an agent monitor feature requests and bug reports, reason about them, and then implement and fix the ones it deems important?

For an open source project, is there any reason to still accept code contributions?

Feature requests are valuable because they tell you what users want.

Error reports are valuable because they tell you under which circumstances the code fails.

But the code that implements those features and fixes those errors can now be written by AI. AI follows all the rules for how code is supposed to be written in your project. Is already producing very high quality code. And soon it will produce a quality that no human can match.