Recent submissions

Comment · 6 months ago
What do you think the debt holders will do with the planes and the other assets?
Comment · 6 months ago
Comment · 6 months ago
Nice! I am interested in how the arithmetic you implemented differs from the IEEE 1788 Standard for Interval Arithmetic (and how the two linked papers relate to it). To address the challenges you mention, did you have to start from scratch or was it something that can build on top of the IEEE standard?
Comment · 8 months ago
Check out also Hyprnote which allows you to do the meeting transcription and note enhancement fully locally, or wherever else you want, with a BYOM approach.
Comment · 8 months ago
What companies value can change after they’ve grabbed their share. Just like how OpenAI changed their “constitution” about working with others.

I wish there was a way to hold companies accountable for stuff like that.

Comment · 9 months ago
How come you don’t just send the md5s to delete rather than the shell script?
Comment · 10 months ago
Power plants are often described in terms of (max) power output, i.e., contribution to the grid. So, I can see how it might confuse a writer to then also talk about storage inadvertently.

But also, the second paragraph already describes the 100 MWh vs MW nuance.

Comment · 1 year ago
Indeed. For a sorting algorithm it would be more insightful to show it test the actual property of something that is sorted: every consecutive element is larger than the previous one (or the other way around). You don’t need a sorting function to test the “sorted” property.
Comment · 1 year ago
Can you elaborate a bit further on what you’d need to do and why? It’s been a while since my electrical courses.

I’ve been trying to measure home power consumption with these plugs (and the ones from IKEA) but I’ve been getting suspicious readings for inductive loads.

Comment · 1 year ago
Yeah. Using the Kalman filter just to determine the position from noisy position measurements really undercuts the capability of the filter to use system physics to estimate the true state.

In one of the most common applications of Kalman filters, autonomous robots (e.g., a robot vacuum or a commercial drone), the filters are around 9 to 12 dimensions.

Comment · 1 year ago
The number you are seeing is the (USD) price you would pay for one ounce of gold right now. (Not taking spread into account.)
Comment · 1 year ago
I figured it out! I disabled scripts so the code of the website never ran. Now am not highly unique! (Neither am I “not highly unique” though.)
Comment · 1 year ago
Comment · 1 year ago
Out of context, the expression "the uncertainty in the number of trials" would refer to missing knowledge in terms of how many trials actually ran.

In the context of the post this doesn't make sense, so the reader is left to hypothesize what the writer actually meant.

Comment · 1 year ago
That’s nice. I’m interested in why you went for a complementary filter specifically, if it was enough for your purpose or just the first one you tried out. (I see you reference the ahrs package where there are also implementations for other attitude estimators.)

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