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privacy.twitter.com
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journal.stuffwithstuff.com
Fishing gear accounts for an alarming amount of plastic in oceans (2021)
nature.org
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astro.build
Tcled: Pure Tcl Console Text Editor (2019)
github.com
AppLovin bids $17.5B to acquire Unity
axios.com
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spectrum.ieee.org
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kevin.burke.dev
Nvidia publishes 73k lines of 3D header files for Fermi through Ampere GPUs
phoronix.com
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nccoe.nist.gov
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journals.sagepub.com
Archaeologists Rebury ‘First-of-Its-Kind’ Roman Villa
smithsonianmag.com
“It’s time for Apple to fix texting”
android.com
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ascopost.com
W4 Games formed to strengthen Godot ecosystem
w4games.com
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relationshiphero.com
If I was not fooled again by microsoft, mathemical proofs for tricky parallel programing algorithms is what makes 1% of computer programming not for high-schoolers. Namely, high-schooler grade programmers, namely 99%, must trust those algorithms. It is even worse when a programming task is required to perform serious and "accurate" floating point calculations since there, high-school skills won't be enough (need a uni/college maths degree, since the "proof" of accuracy of a calculation is pure maths).
Tricky parallel algorithms need specifically designed mathematical logic to be proven.
For instance: AFAIK, ring buffers management using atomic r/w pointers.