It solves the problem of setting up SELinux. All you need to do is add to the SELinux policy to further restrict the access context. No other setup, that I’m aware of, has this advanced level of user management. It really is far ahead of desktop Linux.

It is a special Linux version that is made for developers, and is quite complicated. It kinda unites all operating systems where anything can be built for anything and the dependencies for code libraries and stuff are independent from the base OS. So yeah, it is operation deep throat Dick’s OS /s

Android is made for this specific use case, of a completely ignorant user.

NVCC is still proprietary and full of telemetry. You cannot build CUDA without it.

I have a monitor on a custom made arm that sits above my laptop when I need a second screen.

It works well in a tight space like in a board meeting at a conference table or plane seat. Vertical doesn’t make a real difference in my experience. You just need two spaces that do not move so that you can quickly reference multiple documents and keep your place between them.

I wouldn’t say no gain. I would love that real estate on my bedside stand I use with physical disability. I would not want the sub 17" form factor and keyboard though. I struggle to do anything super technical without a second screen which is a pain in the ass. I can’t sit at a desktop and the ergonomics of a laptop are unbeatable in my situation.

I’ve tried 3 times so far in Python/gradio/Oobabooga and never managed to get certs to work or found a complete visual reference guide that demonstrates a complete working example like what I am looking for in a home network. (Only really commenting to subscribe to watch this post develop, and solicit advice:)

“But guys, gtfomp” - emacs

Anything to distract and discredit the guy standing up for principals huh?

74181

(A + 1)
A0:A3 = (Input Register)
S0:S3 = Low
Mode = Low
CaryN = High
Q1:Q4 = (Output)

https://en.wikipedia.org/wiki/74181

HDMI is the proprietary monopoly scam. It is added to devices by the owning members of the scam. Display Port is the open source free equivalent standard that the educated consumer goes looking for.

It might add a little flavor, maybe a little color. Better set those softmax settings to deterministic.

Does anyone have a real link to the non-stalkerware version of:

https://www.theinformation.com/articles/microsoft-and-openais-secret-agi-definition

-and the only place with the reference this article claims to cite but doesn’t quote?

nicely framed style Bill: 🪟

I wholeheartedly agree about proprietary models. My perspective is as someone who saw the initial momentum of AI and only run models on my hardware. What you are seeing with your work is not possible from a base model in practice. There are too many holes that need to align in the swiss cheese to make that possible, especially with softmax settings for general use. Even with deterministic softmax settings this doesn’t happen. I’ve even tried overtraining with a fine tune, and it won’t reproduce verbatim. What you are seeing is only possible with an agenetic RAG architecture. RAG is augmented retrieval with a database. The common open source libraries are LangChain and ChromaDB for the agent and database. The agent is just a group of models running at the same time with a central model capable of functions calling in the model loader code.

I can coax stuff out of a base model that is not supposed to be there, but it is so extreme and unreliable that it is not at all something useful. If I give a model something like 10k tokens (words/fragments) of lead-in then I can start a sentence of the reply and the model might get a sentence or two correct before it goes off on some tangent. Those kinds of paths through the tensor layers are like walking on a knife edge. There is absolutely no way to get that kind of result at random or without extreme efforts. The first few words of a model’s reply are very important too, and with open source models I can control every aspect. Indeed, I run models from a text editor interface where I see and control every aspect of generation.

I tried to create a RAG for learning Operating Systems Principles and Practice, Computer Systems A Programmer’s Perspective, and Linux Kernel Development as the next step in learning CS on my own. I learned a lot of the limits of present AI systems. They have a lot of promise, but progress mostly involves peripheral model loader code more than it does with the base model IMO.

I don’t know the answer to the stagnation and corruption of academia in so many areas. I figure there must be a group somewhere that has figured out civilization is going to collapse soon so why bother.

I see the issue as more like thought policing is the inevitable outcome of calling training copyright infringement because there is no difference between a person that recalls information and talks about it with others and the intended use of published information for training. If training an AI with all the knowledge a person learns in a similar manner is somehow wrong, then the inevitable long term way this plays out is a Minority Report like dystopia. It sets the precedent for prosecution of people for their thoughts or intentions and not their actions. This kind of thought policing existed in the darkest depths of the medieval era, or even into more recent eras of witch hunts or McCarthyism. Perhaps we are on the brink of another such dark era.

As far as I am aware:

• Copyright is intended to protect someone from another person copying their work for for financial gain, or to be much more specific–copying work for direct gain using any form of complex social hierarchy such as awards, reputation, or monetary gain.

• What copyright does not protect is the dissemination of knowledge as it relates to publicly published works.

• One has the choice to remain the sole proprietor of one’s knowledge, but to publish publicly is to relinquish ownership of the information contained within.

• Principally, copyright protects that you were the first to write it, and the way in which you wrote it, but it does nothing to protect the knowledge contained within. If a person recalls that knowledge, they are not required to state a citation when speaking aloud, or in some way making use of that knowledge.

• Copyright also has a scope of intent, and that primarily involves competitive works from ones peers and excludes the scope of general knowledge and usefulness to society at large.

I’m not trying to mock you, or say you are right or wrong. Quite frankly, I don’t think in these terms, or care about the kinds of people who do. I’m heavily abstracted and intuitively driven to understand. I believe everything that is not intuitive is simple not fully understood yet. However naïve that may be is irrelevant here. I’m of the bias that those with something to gain often lack objective thinking and show a measure of envy when unexpected changes occur in society. I’m not accusing you, but only sharing the most minor of biases I am aware of while trying to say I want to understand. I would like to know if there is anything in the framework I just laid out that is overlooked. I would like to better understand why you find this issue upsetting. I’m one of the most flawed and openly human people on Lemmy. Look at my history if in doubt. I have no skin in this game, just curiosity.

What is this perspective?

Doesn’t Open AI just have the same efficiency issue as computing in general due to hardware from older nodes?

What are bitnet models and what does that change in a nutshell?

That’s interesting, but most SD cards are based on the old Intel 8051 microcontroller running in the background. While Bill Mensch is behind Western Digital and the 6502, which is the processor typically in the background of hard drives.

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