Recent submissions

Comment · 1 month ago
I took the same approach. Every merge into main triggers the GH Action to sync /docs with the wiki. The advantages of a wiki over /docs are tiny but the single click, navigation sidebar with all headings was enough for me to deal with the GH Actions hassle. GH Pages was no option because we are not on Enterprise and parts need to remain private.
Comment · 7 months ago
The power savings are minor btweeen LED and low presssure sodium lamps. The LED streetlights emit light along the full spectrum, the sodium lamps only at 589 nm. The LEDs are more controllable so smart dimming ( when there are no cars) is a perceived advantage.
Comment · 7 months ago
Comment · 1 year ago
Here in the Netherlands we’ve got ‘fietsknooppunten’. Numbered junctions with proper bike paths linking them up, and clear signage pointing you to your next number. https://www.fietsknoop.nl/planner Just remembering, or writing down a couple of numbers gets you a long way. As a backup I have OsmAndMaps for pre-loading gpx files to my phone.
Comment · 1 year ago
Comment · 1 year ago
I read the url as: ever t-pot, as a reference to 418. Turns out it's the author's actual name.
Comment · 1 year ago
Comment · 1 year ago
Helpful tool for car makers.

Would have probably saved them from the Mitsibishi Pajero, Ford Pinto, Mazda Laputa

Downside is, it doesn’t analyze phonetics afaict. The hebrew Volkswagen Beetle (Hipushit) would have passed as fine.

Comment · 1 year ago
Comment · 1 year ago
So how long do we have until companies can pay to be in the system prompt to be recommended for certain queries?
Comment · 1 year ago
This is neat. The send buffers and live display give it a nice edge over something like Tera Term. One nitpick: I couldn't find the option to disable autoscroll on incoming serial streams. Like 'Auto scroll only in bottom line' in Tera Term. Thanks!
Comment · 1 year ago
Comment · 1 year ago
At first glance you may have a point. Thing is they’re often recruited with very promising job titles and descriptions, training on mild cases. Once they fully realize what they got themselves into the damage has been done. If they’re unlucky, quitting also means losing their house. This may help empathize a bit with their side of this argument.
Comment · 1 year ago
They mention using a IMU dataset that is collected using an APDM Opal. https://www.apdm.com/wp-content/uploads/2015/05/Opal-Publica... This publication mentions a paper on p. 5839 (p 13 of the pdf) where a single sensor on the waist (as used in the Google research) would lead to an f1 score of 0.77 if I did my math correctly. In other words, pretty close to a >1 shot plot analysis of gpt4o and gemini pro1.5.

I would also be interested how the llm's would hold up to the free-fall interrupt that's built in to some consumer grade IMU's (BMA253 for instance), anyone here with experience in this usecase?

Comment · 1 year ago
They could add an appendix with word math like 707 + 707 = 1414

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