Do you or anybody else have any resources to share regarding such training? I suffered a concussion 5 years ago and two more shortly after, and I still suffer from regular dizziness due to sunlight / busy environments and after too much screen time. It has taken away much of the joy of my twenties. Thank you.
Unfortunately I don't know anything online, but I would suggest seeking out sports medicine/physiotherapy folks who work with your local concussion-heavy athletes (snow sports, mountain biking, etc). Good luck!
Can anyone suggest a minimalist music streaming platform? I'm looking for a digital substitute for collecting CDs, something similar to the old iTunes. Maybe Apple Music is the right choice, or are there other options available?
I find Apple Music excellent for the "I had 800 CD's; now I want those same CD's, but instead in a digital streaming library on my phone".
You can add albums from the Apple Music catalog to your library. In iTunes on Mac you can change the tags if you want ("Making Movies (2020 remaster)" → "Making Movies" or something). You can easily star music, download for offline use, listen in lossless, create playlists, on Mac create smart playlists ("All albums where artis is "AC/DC" and year is between 1980 and 1990") etc.
Apple Music and Tidal are the only two with high-res audio.
And since they often encode from the 24-bit studio masters you will get better audio quality than ripping from CDs yourself and likely from most “pay as you go” sites.
In fact they had such a large selection of high res albums that it was downright suspicious. Albums and bands that never had releases on hdtracks, from decades ago, had 24bit streaming on prime
Really makes you think. There are quite a few blogs that open “high-res” releases in a spectrum analyzer and point out where the frequency cutoff is. They just re-encoded the original without any remastering.
Spotify went for the bigger market instead of the small niche of dubious gains. Can’t say I blame them. They have a lot of competition in 2024
People usually suggest Roon when it comes to actually substitute a CD collection, it works with a couple of streaming services but it is an extra expense.
What features is the Reminders app missing? I switched from Things to Reminders and didn't notice any missing features. Not doubting your statement - I'm genuinely curious to know what functionality might be lacking in Reminders that I'm unaware of.
I certainly see the notifications for incomplete tasks from Reminders on my lock screen every time I lift my iPhone. I have one I've been ignoring for weeks. Seems pretty persistent to me...
I have used that, it's pretty nice! For now I settled on TickTick cause it's easy to use from my Linux laptop and my iOS devices. If you are fully Apple, Due is a good choice.
This reminds me of the old text file format walkthroughs for video games. I fondly remember using the The Legend of Zelda: Wind Waker walkthrough hosted on IGN. Good times. :')
No, you are simply more accepting of a certain interface being pushed onto you. I find the podcasts incredibly frustrating because I like to keep my interfaces streamlined and minimalistic. I would much rather have my homepage focused on my content than a bunch of podcasts I don't care to listen to and a bunch of playlists in which I have no interest. In my opinion, the app is frustratingly bloated. Your opinion is valid, but this complaint is as well.
Reminds me of the guy at GitLab, I believe it was, who accidentally and irreversibly deleted a bunch of repositories. GitLab had a fantastic approach to that whole ordeal and public embarrassment. They essentially blamed themselves for not having the proper contingencies in place instead of blaming the individual. It's worth reading up on.
It happened to me and my team like 10 years ago or so: An engineer deleted the production database. We were able to recover it. But the postmortem basically focused on why the he heck did we let that happen. The guy stayed in the company for 8 years more IIRC. We fixed our systemic issue as well.
I've read about blameless postmortems from Medical professionals and I always tell my teams: if those guys (doctors) can do blameless PMs after someone has died, we can do them.
Also reminds me of the Reddit thread [0] where someone accidentally used write access credentials that were on an onboarding document and wiped the production database. GitLab guy actually joined the conversation.
From that link you should also be able to find conversations on Hacker News and the like. It was talked in a lot of places at the time.
If I’m remembering correctly (take this paragraph as imperfect memory), at the time a lot of people on the outside were looking to assign blame but the team tweeted something to the effect of “yes, we know who did it, and no, they won’t be fired” and didn’t even reveal who it was. Then they live-streamed the process of trying to recover as much as they could. They got a ton of community encouragement and it was widely viewed as the right way to handle things.
I bought a Garmin watch (FR265) last month and it's been great in keeping me on track with my exercise routine. I don't care for its advanced features like 'training readiness' and 'sleep score' – I prefer not to rely on my watch to gauge how I feel for obvious reasons. However, I have customised my watch face to display a daily step counter and a weekly 'exercise minutes' counter [1], which tracks exercise performed at a medium to high heart rate. My target is 10,000 steps a day and 180 minutes of exercise per week. Having those stats available at a glance on my wrist has significantly helped me stay on top of them. I can recommend it! Otherwise, I've disabled all smartwatch features. 8-)
What about AI/ML attracted you more? I’m at a point in my studies, and I can either go down the big data route (more backend focused) or AI (frontend focused, i.e. how the computer interprets data), and I just can’t decide. Any insights would be much appreciated! :)
Generally I'd suggest to pick the route the excites you the most. Because you'll naturally spend more time and energy there, allowing you to advance the most.
Personally I've always been fascinated with AI/ML, because of reading too much SciFi as a kid :) Plus modern LLMs are a bit like magic - you can make computer do amazing things if you just manage to say the correct incantation :)
I've also spent a large chunk of my career around big data (worked in a couple of startups). Data is interesting and important, but it was boring for me.
Long story short. If you like learning a lot of things - AI/ML would be a wonderful field. But you'll need to keep on learning. If you like messy code - also AI/LLM.
If you like working with data, predictability and stability. Then big data might be your thing. Also if you like digging into different business domains and connecting numbers to processes and people.
