eskaytwo

Yeah. There's some solid work in there, but it reads like an LLM without a review pass.

This paragraph has an awkward rhythm:

> Getting more into the nitty-gritty, we also closed a subsecond-precision loss when inserting timestamps over HTTP (#300), and to top it all off, a broader static-analysis pass over the codebase turned up and fixed a handful of other latent bugs (#313); these hadn't showed up in the field, but were worth closing before they could.

Even just asking Claude to apply Strunk and White makes it much easier to read:

> We also fixed a loss of subsecond precision in timestamps inserted over HTTP (#300). A static-analysis pass over the codebase turned up several other latent bugs (#313); none had surfaced in the field, but we fixed them anyway.

And its diagnosis of why the original is tricky shows an LLM is more than capable of improving readability given a couple of review passes:

> Three things make it awkward, and they pile up:

> 1. Two bits of throat-clearing. "Getting more into the nitty-gritty" and "to top it all off" both just say here comes the next thing. Neither tells you anything. Back to back, they read as filler.

> 2. Mixed tone. "Nitty-gritty" and "to top it all off" are chatty; "subsecond-precision loss" and "static-analysis pass" are dry and technical. The sentence keeps switching voice.

> 3. Too much in one sentence. Two unrelated fixes joined by a semicolon, plus a clause hanging off the second one, plus the trailing "before they could." By the end, you've lost track of what "they could" was about — the thing it points back to is thirty words behind you.

It's a shame when solid technical work gets obscured by the poor SNR of default LLM output, when clarity is only a few iterations away.

Much more covert, and civilian infrastructure also less likely to be blown up.

With their movement you might get some strange SAR like effects. Computationally complex but could add another dimension over a static tower.

This was done in the analogue age https://en.wikipedia.org/wiki/I_Am_Sitting_in_a_Room

Thanks! Was hoping someone would do something more sane like this.

Openclaw is very useful, but like you I share the sentiment of it being terrifying, even before you introduce the social network aspect.

My Mac mini is currently literally switched off for this very reason.

Meditation has many techniques. Similar to how people have many different motivations and programs when they have a regular gym practice. Strength is different to agility is different to flexibility.

MCTB or Dhamma overground might have been a less confronting link to share :)

In more formal traditions the focus on breath (or similar) is to develop concentration/samatha/samadhi. The focus on sensations is the insight/vipassana component, and often this is where the tension bubbles up to the surface. Keeping calm (equanimous) during this process can indeed be non-trivial!

It sounds like you have come to a practice very similar to a lot of the Burmese traditions of insight meditation, which is quite fascinating.

I think they’re just focussing on the Samatha concentration aspect?

There’s some nice plugins too, some are finance related: https://github.com/ddotta/awesome-polars

It’s also important to consider the upcoming tax cuts. Don’t assume the efficiency savings are to return $50.50 to your back pocket.

Not every problem needs a CNN thrown at it.

Thanks for the pointer. Augurs looks really promising. If the matrix profile method was included it would be a nice alternative to the numba jit methods that are commonplace.

It does convolution of each sub sequence across the series length, and then shows the distance of the closest match. This can detect both outliers (long distance from closest match) as well as repeated patterns (short distance).

I don’t think it’s the same people.

They deliberately kept them at arms length to protect the brand value

for checking this sort of stuff, Stellarium is amazing open-source doftware.

If this could generate Confluence that would overlap well for a lot of JetBrains IDE users

DuckDB can also operate on Polars data frames, and return the results to Polars data frames.

Pandas is ok for numerical, but Polars (rust-based) is absolutely the way to go for big datasets. The article is fascinating if you're a Python developer and you need to stray off the path of things Polars can do.

There’s also the Kraken project https://www.krakenrf.com/

Operators could have raised this with vendors to fix.

It doesn’t. Some of the Swiss waters are very good. My baseline for coffee is quality single origin Geisha, and good Swiss water is better than most espresso places.

Are you doing the edge splines and Bézier curves from graphviz?

It seems more cognitive than due to physical effects in the ear. Adam Neely had a good YouTube video on it https://youtu.be/QRaACa1Mrd4

In the sense of an evolving notebook that’s used eg like for reports. It would be good to be able to version control this. The output doesn’t need to be saved, but the code itself would be valuable - and then can pull from version control and run.

What’s the current best-practice workflow for using with git? I see jupytext discussed in the comments but this saves the .py exported file. Is there a good clean method for storing tbe .ipynb files into git? It maybe is easier without the cell outputs?

+1 obsidian is great and all mmd so easy to migrate off if ever need to

The tradie’s laptop

This is really nice! Have you looked at using stream processors such as ksql for the ddos detection?