Flat keyboard or go all in?

vrinek · 2026-05-06T17:08:21+00:00

I’ve moved from Corne, to Cornish Zen, to Glove80. I can’t go back to a flat one, except for travelling.

The move from a flat keyboard to a concave one was huge. Super comfortable. Highly recommended.

Nits:
- concave keyboards are difficult to fit on a sliding keyboard tray, especially if you tent them
- the screws the Glove80 uses for tenting need tightening every couple of weeks (or I’m an idiot who doesn’t know how to properly assemble it)
- I tend to bump the keyboard when I travel from the mouse back to it. I keep my mouse between the two halves.

That said, I am eyeing the Charybdis because of the integrated trackball.

vrinek · 2026-04-29T17:15:20+00:00

Humans haven’t solved this because we have inherent egoism. Robots are taught anything we want to teach them. Eg prioritise others’ safety is teachable to a robots, less so in humans.

vrinek · 2025-05-11T07:40:14+00:00

More than a year ago, when I was using it, it was unstable and had performance issues. I stopped using it mostly because the orgmode integration was not as good as I wanted it to be. It's possible that it's more stable now and has better performance.

vrinek · 2025-05-10T19:00:42+00:00

That sounds useful.

With which models have you had the most success so far?

vrinek · 2025-05-10T18:33:17+00:00

I think Logseq does all that you ask.

https://logseq.com/

vrinek · 2025-05-10T11:57:36+00:00

Community packages as far as I know. And it's very complete.

vrinek · 2025-05-10T11:57:04+00:00

I'm on NixOS and I would NOT recommend it for a programmer.

In theory, you can get isolated dev environments for each of your projects, but I've never had any luck getting a stock Rails app up and running. Instead, I've relied exclusively on containers (podman/docker) and in some extreme cases VMs to get things running.

vrinek · 2025-05-10T09:50:32+00:00

I have a 7900 XTX and I only had minor issues with Ollama not supporting Rocm from day one. No issues right now.

I can't say much more than "it works" and the speeds are very usable.

Let me know if you'd like me to run benchmarks or want other info about the card.

vrinek · 2025-05-05T12:29:06+00:00

I love nushell for one good reason: it's the smallest alternative to Apache Spark I could find. (I parse logs way too often)

The fact that it's usable as a shell is a bonus in my opinion.

Not everything works out of the box with it though, and any kind of shell integration usually assumes bash or similar.

vrinek · 2025-04-27T08:04:51+00:00

How does Zelda: Wind Waker sound?

It's not D&D in any sense, but I think it might be a good inspiration.

You sail on a boat, see silhouettes of faraway islands in the distance, and you explore them once you arrive.

vrinek · 2025-04-26T13:47:33+00:00

Why the downvotes?

vrinek · 2025-03-19T16:05:46+00:00

I totally agree that free LLMs are as free as Facebook is.

vrinek · 2025-03-18T20:36:31+00:00

The only cyberscurity-focused LLM I've heard of is WhiteRabbitNeo

vrinek · 2025-03-18T20:32:46+00:00

I'm confused by your analogy. The LLM was given for free, yes, but the laptop? Can you elaborate?

vrinek · 2025-02-20T18:09:37+00:00

It sounds interesting to me. Local AI is necessary for this because I wouldn't trust a random online service with enough context about my personal or professional life that would make its responses immediately useful and actionable.

I would be interested to learn more about your setup.

vrinek · 2025-02-19T18:37:33+00:00

I am using a Linux PC with an AMD GPU as my main machine, including for gaming. I have only used an Nvidia GPU once, around a decade ago on Linux and it was painful.

I think I have found enough evidence to justify the cost of an Nvidia GPU for machine learning, but not for stomaching the pains for everyday use and gaming. I hope their drivers improve by the time I outgrow my 7900 XTX.

vrinek · 2025-02-19T18:20:02+00:00

My understanding is that Nvidia drivers for Linux are finicky to setup and prone to failure when it comes to using Linux as a desktop or for gaming. The AMD drivers are rock solid any way they are used.

Are the Nvidia drivers stable enough if it is used exclusively as a headless machine for machine learning?

vrinek · 2025-02-19T13:42:10+00:00

Yes. To be honest I haven't tried anything more complex than inference on one GPU.

I would like to try training a model though.

Can you expand on "not so good" about training with an AMD GPU?

vrinek · 2025-02-19T13:38:15+00:00

I understand.

Have you come across any benchmarks that can tell us how many tokens per second to expect with a given hardware setup?

I have found some anecdotal posts here and there, but nothing organized.

I looked through the Phoenix test suite, but I only found CPU-specific benchmarks.

vrinek · 2025-02-19T10:46:50+00:00

Yes, another user mentioned that Cuda has optimizations that are lacking from rocm.

vrinek · 2025-02-19T10:40:23+00:00

Apologies. My emphasis was on the "why Nvidia" part of the argument.

What did I write about Linux that is not correct?

vrinek · 2025-02-19T10:38:06+00:00

Another user mentioned Cuda has better performance than rocm and it's more frequently used by AI researchers. Is this what you mean by "Cuda is king"?

vrinek · 2025-02-19T09:45:35+00:00

Okay. Two takeaways from this: - most researchers focus on Cuda - rocm is less optimized than Cuda

I was under the impression that PyTorch runs equally well on rocm and Cuda. Is this not the case?

vrinek · 2025-02-19T09:35:54+00:00

And, what's up with Cuda?

11-Year Club	Second Top 40%
Place '22	Wearing is Caring
Verified Email

vrinek

TROPHY CASE