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I’m familiar with curve tracers but hadn’t heard about source measure units.

Don’t see any on eBay for dirt cheap, wonder what author paid (he said a fraction of retail).

Getting (further) into this myself so good timing. Running Qwen 3.6 27B at decent speed on some old cards but going to branch out.

I bough an Octominer for ~$150 which has power and PCIe slots and a basic Celeron and should let me expand to as many GPUs as I want.

I considered the P100s but I think the V100 16GBs are a better deal at $250. The 32GBs are way too much though.

That’s cool but 7 - 12 tps is frustrating for anything interactive.

Does this support Qwen 3.6 (e.g. 27B) and the myriad of llama.cpp options (batch sizes, quantization, etc.)?

I'd love to see some performance data.

Funny you mention that because the OMP GitHub issues (https://github.com/can1357/oh-my-pi/issues) is almost exclusively attended to by a very efficient bot. I routinely submit issues and they’re replicated and resolved (via PRs) in ~30 mins.

To your question: it’s the difference between one person and an agent working on something vs an experienced dev and the entire community.

Time and tokens too of course.

Currently using Oh My Pi (https://github.com/can1357/oh-my-pi) and appreciate the batteries included approach.

From my limited time using pure Pi, I found quite a few of the plugins lacking and had no desire to upgrade/fix and maintain them myself. I know others feel differently though.

I like the idea of keep Pi minimal but having “official”, high quality optional plugins to make it more usable.

Yeah I don’t think I could ever commit to a project like this and of this scale.

Might be different if it was something truly useful or novel vs a nerd snipe.

Very impressive that he pulled it off in a relatively short amount of time.

Definitely going to play around with this, thanks for posting.

I know MCMC isn’t your goal, but seems like this could be used for ABC-MCMC (as is?)

Would also be nice to have an option to plot using a KDE vs histograms.

(Also your FM example seems to be technically PM)

To monitor and instruct agents.

If there was a mobile app or at least some kind of agent agnostic telegram integration then I'd be more interested.

Hmm… how does one even pick between multiple vibe coded options?

I like to vet my options before committing to new software but who knows if the authors are gonna support these in a month? I don’t want to waste Fable tokens to fix bugs myself when they crop up.

This guy is behind the awesome Oh My Pi agent, so I’d give him a chance.

Anyone have experience switching from Docker to Podman?

I have a lot of compose files in my homelab/automation setup and those are what I’m most concerned about.

Has anyone tried this for LLMs and how does it compare to Vulkan?

How about Qwen3.6? What sort of prefill/decode rates?

Edit: 3.6 not 3.7!

Any chance of HN getting angry about this, à la Reddit?

Cool idea but not very mobile friendly it seems.

M5 Max 128GB for $1k?

Would putting this between a small model and an agent like Hermes improve performance?

Ha! I spent time also hacking together Armbian on an old A20 TV box.

Claude was definitely helpful the second time around to help with the DTS.

Looking forward to testing this!

Is full 3D acceleration eventually possible and how's battery live?

I love how easy AI makes it to hack devices that otherwise wouldn't be worth the time.

Have they published?

So this is PCA in kernel space?

Really good job!

Do you have more of these writeups?

Thanks, I was looking through the article for exactly that. Does it lock on to a configuration of stars?

Really curious how they did this mechanically.

I can see valid uses of this but I also feel like a probabilistic calculator would be more useful.

e.g. the result for the 1 / [-1, 2] example doesn’t tell you how likely each value is and it clearly won’t be uniformly distributed (assuming the inputs are).

DFlash immediately came to my mind.

There are several Mac implementations of it that show > 2x faster Qwen3.5 already.

Looks great but even $40 for a perpetual license with only two years of updates still seems excessive.

Taskbar, Uber, etc. cost less and have unlimited updates. How is this better?

Here's my (hopefully) intuitive guide:

1. understand weighted least squares and how you can update an initial estimate (prior mean and variance) with a new measurement and its uncertainty (i.e. inverse variance weighted least squares)

2. this works because the true mean hasn't changed between measurements. What if it did?

3. KF uses a model of how the mean changes to predict what it should be now based on the past, including an inflation factor on the uncertainty since predictions aren't perfect

4. after the prediction, it becomes the same problem as (1) except you use the predicted values as the initial estimate

There are some details about the measurement matrix (when your measurement is a linear combination of the true value -- the state) and the Kalman gain, but these all come from the least squares formulation.

Least squares is the key and you can prove it's optimal under certain assumptions (e.g. Bayesian MMSE).