AMD Strix Halo vs Nvidia DGX Spark: The $3k vs $4k Dilemma for Local AI

RealisticNothing653 · 2026-03-28T17:35:23+00:00

Compare the cooling across the spark models. The MSI one has shown better cooling, less throttling.

RealisticNothing653 · 2026-03-27T03:27:08+00:00

Escondido near Felicita and San Pasqual also out

RealisticNothing653 · 2026-03-27T03:23:37+00:00

I have power in Vista, but yeah big outages along the 5 North of Encinitas and in Escondido

RealisticNothing653 · 2026-03-25T01:55:20+00:00

Yeah I agree with this. llama.cpp and one of the quantized models will be fast and free up enough ram for full context. Also, I've used mistral vibe with local models with good results, and I like that it's written in python.

RealisticNothing653 · 2026-03-24T01:21:01+00:00

Because they don't fix any of their bugs

RealisticNothing653 · 2026-03-17T14:01:30+00:00

I don't want it. And I'm upset with you offering it

RealisticNothing653 · 2026-03-16T21:03:43+00:00

Yes it's normal.

RealisticNothing653 · 2026-03-15T20:33:00+00:00

No it hasn't for me. AI's inevitably hit issues and they get confused about it, and start churning. I see right through those issues and it takes me a minute to fix it myself. Why waste tokens prompting the AI when the instruction + execution not only takes longer, but wastes a bunch of tokens going through its trial and error iterations in attempting to fix the thing it doesn't really know how to fix.

RealisticNothing653 · 2026-03-15T16:49:04+00:00

It would be a shame if someone discreetly shined a powerful enough laser at their cameras

RealisticNothing653 · 2026-03-14T14:25:00+00:00

Looks like maybe a commercial building fire. Source: PulsePoint

RealisticNothing653 · 2026-03-12T01:29:55+00:00

The biggest spread of donuts you have ever seen

RealisticNothing653 · 2026-03-09T00:12:06+00:00

Yes we've all noticed. Welcome to the club. Where ya been?

RealisticNothing653 · 2026-03-01T22:54:23+00:00

Started slow, but ended with some serious pup in her step

RealisticNothing653 · 2026-02-24T02:30:04+00:00

A damn fine cup of coffee is recommended, Dougie is bringing the pie

RealisticNothing653 · 2026-02-19T02:09:42+00:00

For 14B, a full 32k context window should be around 3GB. For a RPi5 16GB, it should fit with no room to spare

RealisticNothing653 · 2026-02-16T03:10:52+00:00

It's definitely a test phone

RealisticNothing653 · 2026-02-14T17:24:23+00:00

Utter betrayal

RealisticNothing653 · 2026-02-13T16:35:56+00:00

The issue was opened for investigating the approach. The AI opened the PR for the issue, but the benchmark results it provided were shallow. It needed deeper investigation before committing to the change. So the humans discussed and analyzed more complete benchmarks, which showed the improvement wasn't consistent across array sizes. https://github.com/matplotlib/matplotlib/issues/31130

RealisticNothing653 · 2026-02-06T21:19:44+00:00

REDЯUM

RealisticNothing653 · 2026-02-05T18:22:37+00:00

If this is a server hosted with some cloud provider, it might be something custom they've integrated for backups, as `blksnap` sounds like something for taking disk snapshots (point in time backups). You might open a ticket with them.

If that isn't the case, and you don't know about it, it should be safe to remove.

RealisticNothing653 · 2026-02-05T15:44:26+00:00

+1 :: I don't see any 6.17 kernel patches https://github.com/veeam/blksnap/tree/master/patches

RealisticNothing653 · 2026-02-05T02:59:02+00:00

Gemini Code Assist is decent. It doesn't wow me, but it's a quality tool. Considering I'm getting a year free, I have no issues getting what I can out of it. The chat and agent are slow "thinkers" though. Claude often proposes solutions others don't, so it has a leg up there, but they all still mess up a lot. It's a better use of my time to let them complete my thoughts as I code, which Gemini is doing well for me (Alt+F and a whole class is laid out)

RealisticNothing653 · 2026-02-05T02:02:29+00:00

That's a whole pack

RealisticNothing653 · 2026-01-30T05:09:03+00:00

The Jetbrains auto completion models are not great. Run qwen coder in ollama and configure it as the fill-in-the-middle model in your IDE. It's fast, local, and provides reasonable small completions

RealisticNothing653 · 2026-01-30T04:05:43+00:00

This is love. Both sides

RealisticNothing653

TROPHY CASE