

From my totally uninformed non-lawyer knowledge: It’s more or less safe to ignore random letters from German lawyers until they are forwarded to you by a German court (usually in a yellow(?) envelope).


From my totally uninformed non-lawyer knowledge: It’s more or less safe to ignore random letters from German lawyers until they are forwarded to you by a German court (usually in a yellow(?) envelope).
Oh damn. I meant their website, but I didn’t notice they just embed a Twitch stream on their website, thought it was a self-hosted stream. Never mind me.
Well that website links to livestream.eff.org, and that page says the stream will be “simulcast”, i.e. mirrored, to Twitch and Youtube. So the main channel is indeed free.


You might be a few years behind. We have robots outpacing human performance in specific tasks using neural networks.
Might well be behind here, but to my knowledge we don’t have a single robot outpacing a single human in most tasks. They don’t do one-shot learning from their mistakes, they don’t learn new movements randomly. Because most basically just use static weights when operating, because you don’t really want an industrial robot to get ideas. But even test systems that can learn usually just have an equivalent to the movement model of a brain, maybe a vision model, just like an LLM is just a language model. You would need a system that has all of those, plus the other brain areas, especially a prefrontal cortex like model for integration.
I’m sure people are working on it, but I haven’t heard of anything successful yet. I imagine there might be a being like that in secret which is currently tortured in some billionaires tech dungeon. Poor thing.
Also, LLMs can perform on tasks they weren’t explicitly trained for. This line is not as well defined as you make it sound.
Yeah but that’s coincidental. It’s the model weights, prompt, and the RNG aligning. They can mock reasoning, because they do it by what they always do, predict more text, but it’s not like this has any effect on themselves. They aren’t really understanding a mistake when you point it out and growing neurons and synapses, i.e. they won’t have different model weights the next time you ask the same question. They can only really change when the powers that be release an update, which includes new training data, and hence model weights.


No they hallucinate because they lose context but are tasked to answer anyways.
Nothing to do with context. Context windows are an LLM specific thing, but all neural networks no matter the kind or size “hallucinate” because they are a piece of linear algebra where you put numbers in on one side and get numbers out the other.


If you can’t see the difference between a compiler and a large language model
If you can’t see the difference between a given example and the underlying logic…
And if the entirety of your argument is a mystic “and all that stuff”
What, you want me to list the entirety of sciences downstream from physics that are involved in generating and predicting movement in mammals? Because that could, like, take a while…


That’s… the joke. The original proposition was that AI code bans can’t be enforced, a thought which I was leading ad absurdum.


I hate this attitude that if a rule or standard can’t be enforced perfectly, we shouldn’t strive for it.
“Murder bans may be impossible to enforce in the first place”


What do you mean? That’s exactly how LLMs work. That’s why they “hallucinate”.


I’m just a movement generator.
Which is way more complex than just predicting text, because you have to predict physics and all that stuff. There is a reason most robots controlled by neural nets have failed hilariously so far.
then you’ll have to acknowledge that some form of reasoning is going on, no?
By that logic you could say a compiler is reasoning. But the reasoning displayed was happening when the compiler (or LLM training material respectively) was written.
Can a lemmy post be directly mastodon
Kind off no and yes. Server side there is no federation AFAIK, but some frontends/apps can show and post to both networks. Kbin and forks for example.


Nah the original clearly says “Leserkommentare”, so it’s user comments.


Well the script tag has a deprecated attribute called language, so in older code and media you will see <script language="javascript"> a bunch. The weird thing is they instead used the lang attribute which just doesn’t exist.
Oh I see. You mean like v3.0.1 will be stable, and v3.1.0 will be stable. Yeah that’s true. But v3 (as in v3.0.0) is breaking. At least that’s how I have always seen the terms used.
No, v3 is a release with breaking changes:
This release includes several breaking changes; read the full migration guide here. It’s worth mentioning that many of the breaking changes are updates to API endpoints and only affect third-party tools that integrate with Immich’s API. For the vast majority of users, updating works exactly as it always has.
https://immich.app/blog/v3.0.0-release
That’s why the major version was increased, it implies breaking changes in semantic versioning, which Immich is doing since v2 apparently:
Given a version number MAJOR.MINOR.PATCH, increment the:
- MAJOR version when you make incompatible API changes
- MINOR version when you add functionality in a backward compatible manner
- PATCH version when you make backward compatible bug fixes
Well if you want the real basics of self-hosting then depending on your level of knowledge you may want to follow a Linux tutorial like this one: https://labex.io/linuxjourney
This will teach a lot of basic knowledge and terminology you may need when setting up or maintaining containers and VMs. Admittedly, this is somewhat tangential knowledge to your immediate goals, but if you want to actually use your self-hosted stuff remotely later this will become critical to doing so safely.
As for the map, for me it was something like:
Local LXC/QEMU → Remote LXD over SSH on a RPi → Proxmox on a dedicated box through the webinterface
In hindsight I would have started with Proxmox directly though I guess. One big downside is it doesn’t integrate well with Docker containers, you have to set up a full VM as your Docker host. On the upside though you can install LXC containers from https://www.turnkeylinux.org/ in a few clicks, so it’s very good for just testing stuff out and playing around.


Man fuck Axel Voss! Damn copyright shill. Guess we can take solace in the fact that he seemed to be the only one clearly taking the publishers side here.
And if I’m not mistaken, the European Commission representative argued in his reply to Voss (around 12:20) that “collective management organisations” or “cultural heritage institutions” might well be allowed to preserve games that are not commercially available anymore already under the current framework.
Well I haven’t tried it, but if you want to just play around with it you should be able to emulate a RISC-V system in a VM, e.g. using qemu: https://www.qemu.org/docs/master/system/target-riscv.html TL;DR: It’s kinda complicated, lots of different board/chip designs to choose from. But seems possible. Several Distros like Ubuntu/Debian seem to have RISC-V releases around.


Ah scheiße, hier gehen wir wieder.
Neither actually, according to the article. They are afraid the customers who let AI loose on their own accounts will withdraw too much deposits to invest so that the banks can’t give out loans anymore. I wish I were making this up…