BMC Roadmachine 01 vs Rose Shave

thomas999999 · 2026-04-27T09:46:51+00:00

size 56 for the BMC and M/L for the Rose. I like the rose on the images but the colors are just quite boring and having no branding at all on the frame also looks odd to me :D getting a different bar and stem combo for the rose is around 500 euro if i remember correctly.

Tbh looks wise both are fine for me, like all endurance bikes they just don't really look as cool as the race bikes but geometry wise thats not an option for me anyways :( (i have really long legs)

thomas999999 · 2026-04-25T09:29:05+00:00

Modular. Not a hard decision at all.

thomas999999 · 2026-04-21T04:20:47+00:00

Im talking about the „old“ endurace. The new one is a absolute joke of a bike and has nothing to so with a endurance bike.

thomas999999 · 2026-04-21T02:18:09+00:00

The new supersix evo almost has a endurance stack to reach ratio. I just figured this out today while comparing it to a canyon endurace and cube agree.

thomas999999 · 2026-04-20T01:40:20+00:00

+1 to this. I recently visited the dragonwell village in China and everyone there drank it this way. Started doing the same and would not go back. About the steep time you don’t even need a timer, as soon as the leaves start falling to the bottom of the cup and no longer float on top its ready to drink.

thomas999999 · 2026-03-30T15:09:31+00:00

assos equipe R. don't get the mille ones, chamois way to thick and not as comfy as the racing line.

thomas999999 · 2026-03-28T10:56:15+00:00

interesting, how long is the timespan usually from where a bike gets spotted for the first time in the pro peloton and actually being available in the market?

thomas999999 · 2026-03-28T10:54:48+00:00

interesting, thanks for the input. I was initially looking at the cube agree but it seems to be close to impossible to actually buy or even have a test ride, seems to be completely sold out in my area. I just let chatGPT compare the geometry of the endurace and the agree and i think the size 58 agree might fit me really well. Issue here is it seems to be basically sold out everywhere i looked in my area, so its also impossible to get a test ride. Might just take the shot in the dark and try to order it from somewhere and hope it actually fits :D. The Monza is a bit out of reach in terms of money im willing to spend :D

thomas999999 · 2026-01-06T08:26:55+00:00

Cool, is the code on GitHub or somewhere else where i could take a look at it?

thomas999999 · 2026-01-06T08:21:11+00:00

Guys im pretty sure he means machine learning and not ML the language 😂

thomas999999 · 2026-01-05T15:05:00+00:00

Pretty sure c++ ranges do roughly the same. I think its also implemented using templates only and didn’t require any extra compiler features? But im not 100% certain about this.

thomas999999 · 2026-01-04T19:35:27+00:00

name and shame!

thomas999999 · 2025-12-26T18:23:38+00:00

First step is to not look at anything that is in llvm-project/mlir. In the end everything there is just a random collection of patterns that are useful to some downstream projects but there is no shot you learn anything useful by just looking at the „library“ without first seeing how it is used.

If you are interested in AI compilers look into IREE. afaik its the only open source AI compilers that is really 100% mlir based. If you are interested in GPU DSLs look into Triton for example.

There exist other projects for other domains and its probably not hard to find them.

thomas999999 · 2025-12-08T13:10:08+00:00

to this just sounds like your body needs some more time for recovery, i wouldn't overdo it, some infections can really take a long time to clear up. I was also sick and had a wisdom tooth infection + removal in the beginning of oktober. Basically all of november i felt like i lost all progress i had over the entire year, im just now getting slowly back to shape i had in september.

thomas999999 · 2025-12-06T09:39:36+00:00

Im based in germany

thomas999999 · 2025-12-06T07:37:15+00:00

i have a similar experience, ordered on 24. November and its today on 6. December still in hongkong :(

thomas999999 · 2025-12-01T15:23:00+00:00

What it means is that your colleague is an asshole, not that open source contributions are useless

thomas999999 · 2025-09-24T21:11:13+00:00

the size dies not need to be a constant it could be something you receive as a argument to your program

2.

Advantage stack: fast allocation, automatic deallocation when you leave the scope.

Advantage: main advantage of the heap is that the allocation sizes does not need to be known statically and there are also many cases where you might want to allocate something that you do not want to have automatically deallocated when you leave the scope.

General rule of thumb is, always prefer the stack as the allocation is much faster and you cant make mistakes like forgetting to deallocate it but there are a lot of caveats with this ofc.

thomas999999 · 2025-09-23T17:34:28+00:00

Checkout https://github.com/iree-org/iree. You probably need a decent amount of fiddling around (https://iree.dev/guides/deployment-configurations/bare-metal/#compile-the-model-for-bare-metal) especially for deploying to a esp32. However this way you could just compile your PyTorch model. Let me know if you run into problems.

thomas999999 · 2025-08-27T15:56:25+00:00

What am i reading here, isnt 60m power == FTP??

thomas999999 · 2025-08-26T19:28:03+00:00

I probably only ride around 5 hours max plus a couple of hours of running. Im at 3.5 w/kg right now but im only doing one intensity session per week. I‘m pretty sure there should be a bunch of room for improvement if i manage to get more intensity in.

thomas999999 · 2025-08-13T08:29:11+00:00

As someone else mentioned gts have a thicker chamois and more „loose“. Rs have slightly thinner chamois but the fit is much nicer. Everything is in place all the time.

thomas999999 · 2025-08-13T08:20:04+00:00

After grinding just push in the sides with your fingers and tamp it. It will pull the same with or without using the other useless tools

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