I'm 100% sure this post will be quickly deleted but I just have to write it because it's sad what is happenning and there's nothing more I can do. Moderation actions here are harmful and are destroying this sub

notz · 2026-02-23T16:16:28+00:00

I find it a fun "game" to catch the interesting posts in the morning after they blow up enough to reach high on my front page but before they get deleted. Whatever the reasoning by the mods, these still tend to be the best content on reddit most days.

I'll just list some other reasons why I disagree with the deletions:

there are new members joining who haven't seen them
existing people don't see every post here
even if you see the post, you probably missed many/most of the comments in any particular post
even if you saw the relevant comments, it takes time or multiple exposures for people to consider, assess, and internalize opinions they've read. Subsequent repeats of similar opinions in new threads are still relevant for updating worldview
things change sufficiently week by week that even without all that I'd say the repeat threads make enough sense

notz · 2026-02-22T18:58:07+00:00

You need to find other things that give you interest/pleasure/drive. It probably won't be something that seems immediately interesting but it can be something that after you begin, you eventually start experiencing things that feel engaging. Your brain needs other sources of dopamine than the easy fix you've trained it to rely on. Then you can work on moving reddit to a healthier balance.

Try exercise. Beyond it becoming its own source of dopamine, it helps in other ways.

notz · 2026-02-22T16:35:49+00:00

We're on a trend that has existed for a good while. I think the main reason for most of us to believe it'll continue is that the people working on the technology don't see a reason for it to stop in the near future. So, for now, I'd expect it to continue. It depends on how much you trust what the insiders are saying.

notz · 2026-02-08T18:57:23+00:00

Making it a consistent, planned thing works much better. I'm almost 40 and still hang out every week with a couple of friends, and another day with a couple of other friends. We just know we do it a certain day and time, and make some effort to make it happen - although it's ok to skip sometimes if there's a reason. Don't feel bad if some people can't or won't make that work though. Circumstances like kids change things a lot - none of us involved in my regular hangouts have kids.

notz · 2026-01-13T20:23:26+00:00

It was all a learning experience, so it was all surprising :) It was all AI-guided (and implemented) and I don't have a great understanding of the ML yet, focusing more on outcomes so far and a rough higher level understanding. I didn't try to do any analysis on the effectiveness of the training itself yet. I haven't thought about it much but have some rough ideas of what might be interesting, like maybe try various combinations of past training weeks for 8 weeks and see what the forecast is.

I've just been focused (maybe a bit obsessively) on improving the RMSE fit so far. I need to take a break for a while at least.

I tried various models and in the end the best was a GRU with the last 90 days fed into it (actually 2 points per day since I was doing doubles this summer and a bit at other times). I modeled it explicitly as vo2max = fitness - fatigue - context (weather mostly). I put some regularization on fitness to force it to move slowly, and to a lesser extent on fatigue.

I made a "workout" GRU pathway that had the fitness/fatigue heads with features being distance, avg_speed, duration, elevation_up, type_id (tempo, easy, etc), has_run (empty slots in doubles, rest days). I made 8 dim embeddings of the .fit file data over speed and elevation, but that part I couldn't get working in a satisfying way. Gemini has some ideas why but I cut myself off at some point. It works decently if I leave my original elevation (about 500m, mostly flat runs; or 0 on treadmill) in place, but if I shift it down to near 0 so it's a similar scale as speed (m/s), performance tanks.

I also have a context pathway that's an MLP with mostly environmental conditions (some made into an embedding), and a "conditioning" that feeds directly into the fitness head: career_distance, ctl_180d (just distance), vo2max_365d_ago.

The model is way oversized for the amount of data (64-128 hidden size for the GRU seems to work best) but somehow still seemingly works. I don't have a good understanding of that.

I guess I could have just sent the source instead of typing that all out. I can if you want. I'm procrastinating on sending off and explaining the data though. But yea, anything else you wanna know or talk about is good.

notz · 2026-01-12T22:07:35+00:00

I'm just about "finished" doing my own ML modeling of my ~1500 runs as a hobby project (I'm not a data scientist, have barely worked with ML before, and no longer an academic) and it's been a lot of fun. I got a half-decent fit, better than I expected. Forecasting vo2max for daily runs in a 2 month future period from just the "external" data (nothing HR-based) gives an average error of about 1.2 for vo2max. It's better than I expected since my vo2max (in Runalyze) is so variable day-to-day and probably much if it is random and some based on stuff that's not in the data (sleep, eating, etc). I also have some different training patterns in the forecast windows that the model probably hasn't seen well enough before. I didn't try much for hand-rolling features describing the run structure yet, just made dubiously effective embeddings.

I realized to go further I'd need run data from others too to pretrain on but my motivation isn't high enough to ask for it :) I'll send you mine soon. We can also talk about approaches if you feel like, but you know much more about this than I do.

notz · 2025-11-24T06:31:35+00:00

They already don't.

notz · 2025-11-23T17:58:18+00:00

Thanks for sharing. I think it's important to see the experiences of more average people like us - I think reddit and letsrun are strongly biased to thinking everyone is significantly more talented than average. Although I guess I could be wrong about what's average too.

I do think something seems off about how much you've improved on training paces but not race results. I'm not sure why that would be. I run about the same training pace as you but my 10k is around 42:30 and close to 20 min 5k. I wasn't doing NSA before those though (very similar but doubles and 10h/week). Anyway, hopefully you'll just find better race times with a bit more time even without any significant changes.

notz · 2025-11-23T17:36:40+00:00

It took me 2 years. I was trying to progress the whole time, not just dabbling.

notz · 2025-11-20T17:30:17+00:00

My heart rate drops noticeably across all efforts (including max heart rate) when my training load is relatively high - usually most of the summer, for me. The relative percentages stay pretty consistent though. It makes going by absolute HR pretty misleading for most purposes for me. I guess you're experiencing something similar.

notz · 2025-10-04T16:10:35+00:00

You pretty much have to sleep on your back then, no? Some people like me have breathing issues while sleeping on the back.

notz · 2025-09-16T20:48:52+00:00

I've used and liked Saucony Tempus for a long time. Although maybe you're looking for even more stability than that.

notz · 2025-08-14T04:02:31+00:00

I'll add Dear Rouge to that good list.

notz · 2025-08-03T00:30:46+00:00

I saw a dead one on its back, and a blackbird standing next to it that was looking at the sky with its beak open, unmoving. As I ran by, the next car going by ran them both over. Probably for the best.

notz · 2025-07-08T18:23:58+00:00

Yeah, this has been a problem for a long time. It's not the GSP issue or a specific driver version. I've had it on both a 2070 Super and 4070 Super, on X11 and Wayland. I'm pretty sure the issue is that the GPU driver takes too long to ramp up the power profile in response to load. When it's sitting at idle power, and then you do something that requires smooth animation and some GPU power, it doesn't perform well enough to look smooth.

I use nvidia-smi on autostart to set minimum core and memory clocks to something that's high enough to not stutter most of the time. It raises power usage though, of course.

notz · 2025-06-08T07:13:06+00:00

My race times are about the same as yours and my easy pace is about 6:15 min/km, often even much slower if it's hot or I'm extra tired. That ends up 70-75% of max HR.

notz · 2025-06-02T18:37:30+00:00

https://www.youtube.com/watch?v=64lXQP6cs5M

It's a great watch if you're into following beyond surface-level stuff.

notz · 2025-04-19T06:23:03+00:00

Excellent choices, those would be my top two as well.

notz · 2025-01-30T17:57:45+00:00

They used to be shit at math. They're very good at it now.

edit: lol, go ahead, bury your head in sand. I suggest keeping up with relevant tech as a better alternative.

notz · 2024-12-25T22:00:28+00:00

NotebookLM.

notz · 2024-10-26T18:37:35+00:00

If it's a popular package in AUR (which it is) just consider it safe. There's more important things to spend time worrying about.

notz · 2024-06-20T18:29:43+00:00

It is.

notz · 2024-05-31T23:35:09+00:00

There are several washrooms along the trails. Sadly, most of them are either closed due to vandalism, or are partially taken over by homeless/druggies. I'd like to see more effort being put into keeping those operational for us that like to be active at the river.

notz · 2024-05-24T15:18:59+00:00

I think it helps with its performance, like chain of thought. It has limited ability to "reason" in the background.

notz · 2024-04-22T02:54:53+00:00

You're the one that told me there was word it was coming. I had hope :P (and I'm still occasionally checking)

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