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Cascaison If you believe in "Artificial Intelligence", take five minutes to ask it

People are surprised our brain is just physics/chemistry/etc. while our whole fucking body is just physics/chemistry/etc.

Cascaison Debian weak keys are still out there on the Internet

:))) thanks for the insight

Cascaison Debian weak keys are still out there on the Internet

Well, sort of. But I probably could explained myself better, and maybe compatibility is not the right word, because this can be considered to go beyond compatibility.

Some remarks that I found interesting on the topic:

-While compatibility/reliability are 110% nice (compatibility being defined as "it works"), that doesn't mean full stability in generating entropy. "Components may be perfect; composition(they all together) can still be flawed", where the components are: Device Hardware, Device OS, and Device Software (KeyGen)"

- "in low-margin devices there aren't high-quality entropy sources to rely on", so its harder to know for sure that key was well generated.

- a large scale on RSA keys enabled the detection of entropy failures that manifested in the RSA keys of millions of devices. Most affected product families were lower-margin devices past their end-of-support date.

https://www.acsac.org/2023/program/final/s111.html https://www.acsac.org/2023/files/web/slides/chi-111-weakrsak... https://samvartaka.github.io/cryptanalysis/2017/01/03/33c3-e...

Cascaison Linear Logic – Par Part 2

Nice work :)

Cascaison Debian weak keys are still out there on the Internet

Probably the good old "legacy issues", hardware compatibility and trying to save money. It's a reflection on society.

Cascaison Firing programmers for AI is a mistake

Is this the same Cobol crisis we have now?

https://www.computerweekly.com/news/366588232/Cobol-knowledg...

Cascaison Building a personal, private AI computer on a budget

I agree with elorant. Indirectly, some youtubers ended up demonstrating that it's difficult to run the best models with less than 7k$, even if NVIDIA hardware is very efficient.

In the future, I expect this to not be the case, because models will be far more efficient. At this pace, maybe even 6 months can make a difference.