71–80 of 165 posts
The thing that always worries me about these clean-slate designs is the fear that they'll ignore accessibility for disabled people, e.g. blind people, and then either the system will remain inaccessible, or accessibility will have to be retrofitted later.
It's funny you mention that because the first thing I thought when viewing this page was "is this a loading state? why is everything grey?".
> RadiantOS treats your computer as an extension of your mind. It’s designed to capture your knowledge, habits, and workflows at the system layer. Data is interlinked like a personal wiki, not scattered across folders. This sounded really interesting... till I read this: > It’s an AI-native operating system. Artificial neural networks are built in and run locally. The OS understands what applications can do, what the…
Most of the text on the site seems LLM written as well. Given that the scope of the project involves making their own programming language, OS, and computing hardware, but they don't seem to have made very much tangible progress towards these goals, I don't understand why they decided to spend time making a fancy project site before they have anything to show. It makes me doubt that this will end up going anywhere.
I'm not a fan of all the LLM and image generator usage either, though.
Earlier quoted context omitted.
> They're just now implementing the implementation language, R'. They haven't done their due diligence: there's already a well-known language named R: https://www.r-project.org/ . The prime isn't sufficient disambiguation.
I assume they know but don't care. Either way, that is a bad choice. I think "Rad" would be a good name, but maybe they already are using that for something else. Edit: where did you see it's called "R"? It looks like they call the system language "Radiance" : https://radiant.computer/system/radiance/
I'm interested in the idea of a clean slate hardware/software system. I think being constrained to support existing hardware or software reduces opportunities for innovation on the other. I don't see that in this project. This isn't defined by a clean slate. It is defined by properties that it does not want to be. Off the top of my head I can think of a bunch of hardware architectures that would require all-new softw…
Clean slate designs with arbitrarily radical designs are easy when you don’t have to actually build them. There are reasons that current architecture are mostly similar to each other, having evolved over decades of learning and research. > Perhaps model where processing and memory are one, A:very simple core per 1k of SRAM per 64k of DRAM per megabytes of flash, To serve what goal? Such a design certainly wouldn’t be…
> Fully connected graph topologies are great on paper, but the number of connections scales quadratically. For a 64-core fully connected CPU topology you would need 2,016 separate data buses.
Nitpick: I don't think the comment you're replying to is proposing a fully-connected graph. It's proposing a hypercube topology, in which the number of connections per CPU scales logarithmically. (And with each node also connected to its diagonal opposite, but that doesn't significantly change the scaling.)
If my math is right, a 64-core system with this topology would have only 224 connections.
Earlier quoted context omitted.
Yeah I felt the contradictions here too. Doesn’t the feeling of “magic” directly proceed from abstraction and non-tractability (or at least, as you say, not needing to understand every part of the system)?
>Doesn’t the feeling of “magic” directly proceed from abstraction and non-tractability Yes, but also I think it can also have a kind of liminal impression of an internal logic.
The landing page reads like it was written with an LLM. Somehow this makes me immediately not care about the project; I expect it to be incomplete vibe-coded filler somehow. Odd what a strong reaction it invokes already. Like: if the author couldn’t be bothered to write this, why waste time reading it? Not sure I support that, but that’s the feeling.
Out of curiosity- there's a focus on local llm then talk about no GPU, only FPGA. Those feel- at odds. But maybe I'm out of the loop for how far local LLMs on custom hardware has come?
I wish I could work there!
> RadiantOS treats your computer as an extension of your mind. It’s designed to capture your knowledge, habits, and workflows at the system layer. Data is interlinked like a personal wiki, not scattered across folders. This sounded really interesting... till I read this: > It’s an AI-native operating system. Artificial neural networks are built in and run locally. The OS understands what applications can do, what the…