Also a shame that it was AI generated seemingly with decisions no sane developer would make and hacked immediately in 2 minutes.

Having done a lot of research into this, the state of things sucks right now. The current open-source options have very bad tracking (like, just a very rough estimate) and are much more focused on smart-watch interfaces, which I get because having made a smart watch development board myself, PPG AFEs are a black hole of NDA-riddled bullshit, manufacturer lies and bad documentation, and no support (looking at you Analog Devices). ZSWatch is the most promising open source project using the best openly - available sensor set with the potential to hit 80% heart rate accuracy, but that is still years away.

Honestly for half-good tracking, your best bet js Gadgetbridge + a proprietary smart device that is entire locally supported.

For example, the 100€ Amazfit Helio Strap (no screen) has great heart rate tracking and better than average sleep tracking (old strap style or bicep strap) and you can run it once in the official app to update firmware and extract the encryption keys, then from then on run it completely locally on gadgetbridge and uninstall the official app completely.

Letting perfect be the enemy of good enough sadly leads to almost useless tracking data in the open source wearables world. For now at least. Making wearables is insanely expensive and to get the best sensors you need NDAs and quantities >10k per year which is unobtainable for community open source projects right now, and you need massive amounts of user data to build good algorithms to analyze the data from the sensors.

How useful is it if the data or equations aren’t good?

The VO2max estimation they use is based on heart rate vs Pace data correlation. It is directly correlated to heart rate sensor accuracy. As QualifiedScientist on YouTube has found with his statistical comparison testing vs a polar H10 chest strap, many, MANY watches are <90% accurate with heart rate. Fitbit also has a ton of barely-accurate devices.

The Garmin algorithm has actually been studied multiple times and has around 5-7% error

Apparently fitbit VO2max hasn’t been studied, but anecdotal data by people doing a lab test to compare give quite bad results. 4-49% error! That is pretty much useless. There are also claims that fitbit uses BMI to estimate it which adds even more error.

Fitbit’a implementation seems similar to the bullshit recovery indexes, stress levels, and 2-4 degrees of abstraction metrics…

Sam altman Is also a pedophile who allegedly raped his little sister for years starting from 3 years old

There are really 3 sides of linkedIn.

1. Social media drivel
2. Company advertising
3. Finding jobs/employees as it has completely taken over glassdoor and indeed in the EU it seems.

I have literally never seen the social media side, but there is plenty on LinkedInLunatics. I have found multiple jobs with it though.

Why does every one of these cartoonishly evil companies have a cartoonishly evil name.

My girlfriend has an A52 and her dad had an A23 (or whatever 3rd gen low-tier but not the cheapest).

Both of them regularly, from day 1 have lost cellular signal or 4G/5G signal, and my girlfriend even had to get a new sum card because the A52 simply refused to use it and she was “stuck” in the middle of nowhere with no GPS and no map and no cellular to call someone because of her Samsung phone.

They both barely worked as a phone for a long time. My xperia 5ii had a problem of losing 4G every once in a while until I turned airplane mode on and off again.

My point is that most phones, regardless of manufacturer, have shit signal or intermittent cellular problems, that vary from device to device. n=1 anecdotes are a pretty bad metric of saying whether a phone is good or not. Manufacturers should be required to publish standardized volume testing.

Not to mention that all new Samsung’s come with forced Israeli spyware that you can’t uninstall.

Corpos suck ass and have no respect for their workers, but revenue is pretty useless for guaging a company’s financial health. Companies tanking and going out of business often have hundreds of millions until billions of revenue, while still being a hundreds of millions in negative. Kind of a different story than presented unless we know their revenue minus operating costs and if they have done investor money scams like stock buybacks.

It often doesn’t really. It misses a ton and fills in the gaps itself. It is aimilar with multitasking in that it is really just fast task switching and filling the gaps.

I maan, there are dedinitely people that specifically train to speed read or listen, but i would be interested to have people speed read/listen short novels or so and check for comprehension after the fact.