I can definitely agree, I hate YouTube’s recommendation algorithm and would prefer it was set to maybe a 10% algorithmic, 90% random mix. Every time I use it, I avoid clicking on things because I know if I do and forget to delete it from my history, it’s going to be surfacing the same show/IP/creator nonstop for days. It’s so goddamn aggressive.
It’s amazing how addictive VS is without being predatory or manipulative. The feedback loop to play one more game is solid, in the best way.
So it’s just refreshing that Galante actually has principles enough to stay away from micro transactions. I hope we’re at the point where more developers move away from that - I feel like after the 2000s and 2010s, where game monetization went full nihilistic capitalism, we’re all ready for a change.
No offense, but I think you’re just being dazzled by patent-style writing. For whatever it’s worth on an anonymous Internet forum, I’ve written patents, and litigated patents, related to analogous compression technology.
It is not difficult to write something that sounds complex and novel in a patent, but is in fact a completely obvious, generic solution that any person of skill in the art would immediately and inevitably have upon confronting a task or problem. The patent examiners are overworked, underpaid, and every patent attorney knows this. Thousands of patents are granted that should not be granted every year, because after a few office actions and responses, high-paid attorneys inevitably make it too time-consuming for the patent examiners to fight.
And while yes, sometimes tech companies steal tech, you should also be verrrry suspicious of anything coming out of EDTX by default.
These estimated that, in just three months, the app prevented 284,000 or 594,000 cases, respectively — despite only 28% of the population in those regions using it. The study also suggested that for every 1% increment in app usage, the number of cases could be reduced by 0.8% and 2.3%, respectively.
The most compelling evidence yet, however, comes from an analysis published earlier this year of the usage and impact of the NHS COVID-19 app in its first year of deployment10. It found that the app prevented around one million infections and saved more than 9,600 lives in England and Wales between September 2020 and September 2021. And it achieved this even though, on average over the year, only around 25% of the population was using it (see ‘What the data say’).
Honestly, I did think the contact exposure apps were a failure. I almost never got notifications, despite leaving them always on, and legitimately it sounds like adoption was low. But it sounds like they were still having a noticeable effect.
Ah, open source - that’s an advantage for sure, thank you.