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AriedK

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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.

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.

That's a bit of a cynical take in my opinion. For a community focused initiative, I'd say they deserve a bit more slack in terms of expectations of professionality, scale and sustainability. They now leave it up to the community to decide to pursue that or abandon altogether. Fair thing to do I'd say.

Also: the original forums aren't suddenly deleted: https://davehakkens.nl/community/forums/index.html He explains the process of migrating into 'One Army': https://davehakkens.nl/index.html

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.

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.

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?

Yeah these ‘predictors’ only make sense if they can give a countdown at a constant rate. The idea is nice but often they countdown at say 1dot/sonly to have the last 5 dots disappear in the last second so they miss their purpose. on the other hand, a consequence on predictable ones is that people will start cycling on the last 2 dots or so instead of waiting for the green light.

I had a similar issue with geese on a patch of grass in front of the house where the kids played. Flocks of geese in the 10s would ruin it in half a day.

I found a 532nm green laser to be extremely effective. Let the dot approach them and shine near their feet for best effect. (Of course avoid the eyes and keep the laser power down so the reflection doesn’t harm them either!). It took some time to get into the flocks psyche. You had to get the entire group distress level to a certain level before they would take off and leave.

The next step I got to was building a turret for the pointer. Goose detection image recognition was underway to make the system autonomous but I haven’t been able to finish it and have moved in the mean time so it’s not likely I’ll finish it.

If anyone else wants to have a go at it let me know.

On the finishing: “Of course because I 3D Printed it with a PLA filamanet, it's not as shiny and glossy compared to actuall electronic devices. People use acetone and various solutions to make it shiny.”

The acetone (vapour) approach only works on ABS and is pretty nasty. For PLA your best bet is sanding. You could add some putty to make it a bit easier and get better results. You will then also need to paint it. All in all if the print quality is good enough best stick with that.

Was looking for that too. The only way I found out was installing it, create a call graph, and the first click took me to a payment page. $19,95/month iirc I too would prefer to have this information upfront.

Also, not being able to click past the first layer in the free version is a bit too limited in my opinion.

Sounds promising, but having to fill out my payment details for a trial version is a a hard no for me.

From the article: “ NextNav asks that the Commission reconfigure the Lower 900 MHz Band by creating a 5-megahertz uplink in the 902-907 MHz band paired with a 10-megahertz downlink in the 918-928 MHz band, shifting all the remaining non-M-LMS licensees to the 907-918 MHz portion of the band. Petition at 28–30.”

So at least all LoRa based applications seem unaffected by this. Though I don’t know how much traffic in the proposed NetNav bands will migrate to 915 MHz bands, crowding the spectrum.

It's a fine line. Maybe it isn't necessarily manipulation, but it does come off as disingenuous to me.

To take your marriage example. The genuine motivation would be: "I acknowledge my flaws and I'm willing to put in the effort to change myself for the benefit of my wife". If the motivation is to just tweak your wife's views of you, that may not be manipulation but it's not very loving either.

People will be able to sniff out if the goal of his behaviour is to have people think of him a certain way, versus having the goal of wanting to bring beneficial change and helping a team out. The behaviour may be the same on the surface, but the intent is very different. I would be very wary of judging people's motivations, but the fact that the author explicitly mentions it bothers me.

Looks great, though the fact that you have to ignore your anti-virus warning during installation, and the fact that it phones home (to insights.msty.app) directly after launch despite the line in the FAQ on not collecting any data makes me a little skittish.

My wife and I did a couple of tandem tours throughout the Netherlands, Belgium and the UK. By far the most comments we had were in the UK, the most common being: “she’s not pedalling!” jokingly informing me that my wife who sits at the back isn’t doing her part. The amount of comments were nowhere close what the author describes, and I can’t recall any negative comments. Just humorous ones.

I guess a tandem isn’t as uncommon / funny as a unicycle.