For me the Google results are again at #1.
Isn't it just a temporary thing that search engines rank you down but you quickly regain popularity as soon people link the new one and they notice traffic?
Readit Newsroflmaostc commented on Lessons learned from buying an open source repo coplay.dev/blog/lessons-l... · Posted by u/josvdwest
roflmaostc commented on Pebble Time 2 Design Reveal [video] youtube.com/watch?v=pcPzm... · Posted by u/net01
I turned that off immediately. I don’t see the value when the gesture to wake it up works almost flawlessly.
I want to be able to watch on my watch without moving my arm. Unless it detects my eyes, it stays on :p
roflmaostc commented on Pebble Time 2 Design Reveal [video] youtube.com/watch?v=pcPzm... · Posted by u/net01
That sounds like battery degradation. If they aggressively use less than ideal batteries, ~50% degradation after 3 years is bad but not uncommon.
But I didn't have this issue with my other garmins before.
Also, you have to consider that I charge my watch ~10 times less than my phone (roughly every 10 days). So the total amount of charging cycles was maybe ~100 times.
roflmaostc commented on Pebble Time 2 Design Reveal [video] youtube.com/watch?v=pcPzm... · Posted by u/net01
What is the use-case now in 2025 for an e-ink watch? I have a Garmin Epix pro gen 2 which gets about a month of battery life and has a gorgeous AMOLED, has profiles for pretty much every sport ever invented, incredibly accurate GPS tracking, all day HR-tracking, ECG etc.
I understand it's about 4x the price, but there's also lower-end Garmin's that are about 2x the price with the same screen, slightly less features and similar battery life
my Garmin Fenix 6 used to survive with 21 days of display always one but lowest brightness, if I didn't use any GPS.
Now, after 3 years it is somehow down to 10 days. No chance of debugging where it comes from as I haven't changed anything on my side.
Also look at the historic CO2 emissions per capita.
And btw, we also burn plastic, just in facilities. Doesn't make it fundamentally better as the CO2 is still released into the air.
I live in Lausanne and also noticed that the air looks quite hazy these days.
But the MeteoSwiss weather app does not indicate any high levels of bad air quality.
Notably, ozone shows a value of 90µm/m^3 around Geneva. The article states 180µm/m^3.
All other index such as PM10 or NO2 are not crazy high either.
roflmaostc commented on Why doctors hate their computers (2018) newyorker.com/magazine/20... · Posted by u/mitchbob
Their healthcare/IT provider like Epic would do it. And in fact some have already done it, from what I can see.
Furthermore, preparing/capturing docs is just one type of task specialization and isn’t that crazy: stenographers in courtrooms or historically secretaries taking dictation come to mind. Should we throw away an otherwise perfectly good doctor just for typing skills?
I imagine where the speech to text listens to the final diagnosis (or even the consultation) and summarizes everything in a PDF. Of course privacy aware (maybe some local hosted form).
And then the doctors double checks and signs everything. I feel like, often you go to the doctor an 80% of the time they stare at the screen and type something. If this could get automated and more time is spent on the patient, great!
roflmaostc commented on GHz spiking neuromorphic photonic chip with in-situ training arxiv.org/abs/2506.14272... · Posted by u/juanviera23
Is this actually capable of propagating the gradient and training more complex layers though?
A lot of these novel AI accelerators run into problems like that because they're not capable of general purpose computing. A good example of that are the boltzman machines on Dwave's stuff. Yeah it can do that but it can only do that because the machine is only capable of doing QUBO.
For inference we do not care about training, right?
But if we could make cheaper inference machines available, everyone would profit. Isn't it that LLMs use more energy in inference than training these days?
roflmaostc commented on GHz spiking neuromorphic photonic chip with in-situ training arxiv.org/abs/2506.14272... · Posted by u/juanviera23
It's just a single linear layer and it's not clear to me that the technology is capable of anything more. If I'm reading it correctly it sounds like running the model forward couldn't even use the technology, they had to record the weights and do it the old fashion way.
Would you have discredited early AI work because they could only train and compute a couple of weights?
This is about first prototypes and scaling is often easier than the basic principle.
In a way this is good. 3d printing is neat, but it got too much hype which was taken away from other useful things makers should also have experience in. More makers should think of injection molding when doing plastic parts. Many plastic parts makers are making would be better as metal done on lathes and milling machines (or if you want to have fun shapers and planers - both obsolete but still a lot of fun if time/money isn't important). Wood working has never really lost popularity, but it should be mentioned as a good option for makers. There are also cloth options - sew, knit, spin, tat (my favorite). There are plenty of other ways to build something other than 3d print.
Finally along those lines, for some just drawing something up in CAD and sending it off to someone else to make is a good option. FreeCAD has come a long way finally has reached 1.0, or you can pay for one of the commercial options - some of them are reasonable for makers though read the fine print.
Yes but the fewest come at the price and versatility as 3D printing. Injection molding is very expensive and hard to do in the basement. Wood working too, requires lots of time, skills and many tools...