sudo jajos
https://youtu.be/tpIctyqH29Q?si=eKoLPExAXx6aiHF4 This is an insane playlist for anyone from scratch to understand how computers work in macro level ... and u know literally it is for everyone ...
https://www.coursera.org/learn/build-a-computer
This is also very valuable material ... u will build ur own computer ...
I will take it ... I think my financial aid have expired(after 6 months it expires) and I should use another acc to apply ... bcha It is insane like it is project based betam ena at every module they give like ~ 2 hrs for lecture and ~ 3 - 6 hrs for implementing the things learnt
This is also very valuable material ... u will build ur own computer ...
I will take it ... I think my financial aid have expired(after 6 months it expires) and I should use another acc to apply ... bcha It is insane like it is project based betam ena at every module they give like ~ 2 hrs for lecture and ~ 3 - 6 hrs for implementing the things learnt
Coursera
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Offered by Hebrew University of Jerusalem. What youโll ... Enroll for free.
๐ฅ2
sudo jajos
https://www.coursera.org/learn/build-a-computer This is also very valuable material ... u will build ur own computer ... I will take it ... I think my financial aid have expired(after 6 months it expires) and I should use another acc to apply ... bcha Itโฆ
now someone's gonna say ... "why even bother learning this stuff when ai is just gonna surpass us anyway"
bro. if we don't understand how things work at a fundamental level, we don't have a long future in this field. ai doesn't make deep knowledge useless โ it makes it more valuable
like gpu design, computer architecture ... these things directly affect how ai is built and how far it can go. the people who will actually push things forward aren't just the ones using the tools, they're the ones who understand what's underneath well enough to rethink the tools entirely
we need to go beyond surface level and start thinking like researchers. and that starts with actually knowing how things work
bro. if we don't understand how things work at a fundamental level, we don't have a long future in this field. ai doesn't make deep knowledge useless โ it makes it more valuable
like gpu design, computer architecture ... these things directly affect how ai is built and how far it can go. the people who will actually push things forward aren't just the ones using the tools, they're the ones who understand what's underneath well enough to rethink the tools entirely
we need to go beyond surface level and start thinking like researchers. and that starts with actually knowing how things work
๐ฅ4
sudo jajos
now someone's gonna say ... "why even bother learning this stuff when ai is just gonna surpass us anyway" bro. if we don't understand how things work at a fundamental level, we don't have a long future in this field. ai doesn't make deep knowledge uselessโฆ
Me talking this having OS exam tomorrow ๐ญ
have a nice day แแแแแแ ๐
have a nice day แแแแแแ ๐
sudo jajos
now someone's gonna say ... "why even bother learning this stuff when ai is just gonna surpass us anyway" bro. if we don't understand how things work at a fundamental level, we don't have a long future in this field. ai doesn't make deep knowledge uselessโฆ
was studying page replacement algorithms and had a thought ...
quick context first: your computer's RAM is limited. the OS creates an illusion that every program has way more memory than physically exists โ it secretly stores some of it on disk. but when a program needs a page that's currently on disk, the OS has to bring it in ... and if RAM is full, it has to kick something out first
which page do you kick out? that's the page replacement problem
the classic algorithms (LRU, CLOCK ...) are hand-crafted heuristics. I bet many of u know abt LRU - it evicts the least recently used page basically ...
the theoretically perfect one โ OPT โ evicts whichever page won't be needed for the longest time. but it requires knowing the future lol
so I was thinking ... why not RL?
โ state: recent page access history
โ action: which page to evict on a fault
โ reward: +1 hit, -1 fault
RL could learn to approximate OPT from patterns in the workload instead of needing oracle knowledge
turns out this is a real research area called learning-augmented algorithms โ you take something like LRU and plug in an ML predictor on top. good predictor โ approach OPT, bad predictor โ fall back to LRU gracefully
OS exam tomorrow and my brain is doing research ideation ๐ญ
quick context first: your computer's RAM is limited. the OS creates an illusion that every program has way more memory than physically exists โ it secretly stores some of it on disk. but when a program needs a page that's currently on disk, the OS has to bring it in ... and if RAM is full, it has to kick something out first
which page do you kick out? that's the page replacement problem
the classic algorithms (LRU, CLOCK ...) are hand-crafted heuristics. I bet many of u know abt LRU - it evicts the least recently used page basically ...
the theoretically perfect one โ OPT โ evicts whichever page won't be needed for the longest time. but it requires knowing the future lol
so I was thinking ... why not RL?
โ state: recent page access history
โ action: which page to evict on a fault
โ reward: +1 hit, -1 fault
RL could learn to approximate OPT from patterns in the workload instead of needing oracle knowledge
turns out this is a real research area called learning-augmented algorithms โ you take something like LRU and plug in an ML predictor on top. good predictor โ approach OPT, bad predictor โ fall back to LRU gracefully
OS exam tomorrow and my brain is doing research ideation ๐ญ
๐3
sudo jajos
And this was the ending ๐ญ๐ญ แซแ แแฎแ แ แแฐแซ แแ it hurts ๐๐ญ
Anyone แ แ
แญแฅ แจแแ? Still is there the two year plan ende?
Tech Nerd
I wanna give a shoutout to this Amharic youtube channel .. the creator clearly puts a lot of effort into researching each video, and the documentaries are genuinely top notch. A lot of the content focuses on exposing scams and real issues, which makes itโฆ
Yeah they are awesome ...
the amharic fern ๐ฅ ... they style + content ... แตแแฝ แแ แแ แฐแซแช แขแแ แธแต แแ
the amharic fern ๐ฅ ... they style + content ... แตแแฝ แแ แแ แฐแซแช แขแแ แธแต แแ
๐1๐1
Forwarded from Dagmawi Babi
If you think you shouldn't make your bed because it will just get messy again, I have terrible news about literally every aspect of life.
โค1
sudo jajos
now someone's gonna say ... "why even bother learning this stuff when ai is just gonna surpass us anyway" bro. if we don't understand how things work at a fundamental level, we don't have a long future in this field. ai doesn't make deep knowledge uselessโฆ
Ontogeny Recapitulates Phylogeny
Each new class of computer (mainframe โ mini โ PC โ smartphone โ smart card) goes
through the same evolutionary stages as its predecessors. Assembly โ high-level
languages. No OS โ batch โ multiprogramming โ timesharing. No disk โ single directory
โ hierarchical file system. Technologies become obsolete, then return as hardware
changes. Example: caches appeared when CPUs got faster than RAM. If RAM ever
became faster than CPU, caches would vanish. Study 'obsolete' ideas โ they may return.
From Andrew Tanenbaum's OS Book
๐1
sudo jajos
Ontogeny Recapitulates Phylogeny Each new class of computer (mainframe โ mini โ PC โ smartphone โ smart card) goes through the same evolutionary stages as its predecessors. Assembly โ high-level languages. No OS โ batch โ multiprogramming โ timesharing.โฆ
แแญ แ แแ
แฐแแต OS แแแแ แฅแซแแฉ แ แแจแ
แแฝแ
โ แแแแจ แณแแต 4:8
โ St. Augustine - Confessions
โ แจแ แจแ แ แฃแถแฝ (Desert Fathers)
"แ แฐแแ แฅแฐแแแแฅ แ แแแแแแแแค แ แคแฑแฅ แ แแฐ แฅแปแ แ แ แฅแแแต แ แณแตแจแธแแแแข"
โ แแแแจ แณแแต 4:8
"แแ แแฐ แแฅแจแธแแแ แแฃแฝแ แ แ แแฐ แฅแตแซแแจแ แตแจแต แแจแแต แจแแแแข แแณ แแญแฅ แ แแฐแ แจแแแแแ แแ แแ? แ แแฐแ แแฅแซแต แซแฑ แจแฅแแแต แแแญแต แแแค แฅแแแตแแ แจแฐแ แธแ แ แแฐ แแ แข แแแด แแญแฅ แ แแ แฅแจแแค แจแแ แจแฝ แ แแจแณแฝแแแข แจแแญแฅแตแ แ แฅแ แจแซแ แฅแฑ แแฌ แแแตแฝแแ แ แฅแ แญแแแข"
โ St. Augustine - Confessions
"แ แแต แแแตแ แ แฃ แแญแแแ แฅแแฒแ แฒแ แ แจแแธแแฆ 'แจแแฐแแด แ แแต แแ แแตแญแ?' แฝแแแแแแฆ 'แ แแตแฅแ แตแแแ แฅแตแตแแแต แฅแแแ แฅแแญแ แ แแตแแแค แซ แฅแป แ แ แแ' แ แแตแข"
โ แจแ แจแ แ แฃแถแฝ (Desert Fathers)
โคโ๐ฅ10โค1
แแแแจ แณแแต 5:3
แ แฑแต แฎแแแต แ แแแญแ
แแแซแ แแ
แ แโแแณ แแแ แตแแแฅ แ แโแแณ แ แโแตแ แฅแโแโแแแฅ แฅแ แฅแแแแแข
แ แฑแต แฎแแแต แ แแแญแ
"แจแฅแแ แแแ แตแตแแ แแแแชแซ แจแแณแฐแญแแ แแแญ แขแแญ แ แแ แแฅแแแ แฅแแญ แแตแแแ แฅแแฒแซแแญแฅ แแแแต แญแแแข แแแตแ แ แ แแแณ แตแ แแฃแจแญ แตแตแแแญ แฐแญแฃแ แญแธแปแแค แแแฅแญแตแ แแฐ แ แแฐ แญแแญแฃแแข"
แแแซแ แแ
โค7๐คทโโ1