maharshi
@mrsiipa
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learning deeply about life one gradient step at a time | personal blog -
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Opening smolorg!
A github organization that focuses on implementing cool things from scratch in a simple, understandable, yet educative way. Current repositories:
> smolgrad (autograd engine)
> smolar (numpy in C)
> smolvecstore (vectorstore in numpy)
More cool things otw.
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> opens X app
> sees a banger post
> X auto refreshes
> post lost forever
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> around 3-4 real friends
> a loving and caring gf
> working on things you like
> having enough money
is all you need.
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today, i locked the fuck in and completed a 3-day task in 2 hours.
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one thing that i have learnt in all these years is: in order to become marginally good at something you have to be almost a little bit obsessed with that thing.
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you're gonna make it if you have got a whiteboard, this thing elevates your thinking for real.
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the urge to implement everything from scratch to understand how things work from the lowest level to the highest level is unparalleled these days.
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i fear the man who actively and consistently brings himself back up after hitting the lowest points in his life.
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Once you start implementing things from scratch you realize how often you underestimated yourself and how easy it is to just learn things, how easy it is to just do things. If one person can do it, so can the other. There is nothing which is not doable if you put in the hours.
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i wanna learn CUDA from ground up, because i wanna build cool things in it, has anyone got some alpha for learning CUDA?
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"Tensors from Scratch" - I am publishing the first part of the blog series that will help a beginner understand and implement tensors in C from scratch, starting all the way from defining tensors and shapes!
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> has a remote job
> bag is being made
> plays valorant to relax (fails to relax)
> does ml/dl research on weekends
> touches grass at different places
the only thing left is to build/set up my own business (in progress)
life is great
goodnight!
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past is gone and future is yet to come, life happens now, Arjuna.
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i just realised that if you want to learn any topic in computer science, implement a project around it. Sometimes, implementing it by yourself makes you learn things which might be overlooked by other tutorials. Don't fall into the tutorial hell, anon.
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many people are asking me in the DMs about how they can get started with ML, so i'm just putting it out here the steps that i followed:
- started with Hands-On Machine Learning book by Aurelien Geron, 3rd edition.
- it covers classical ML as well as neural networks and deep
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my whiteboard from when i was in 9th or 10th grade. i used to study quantum physics from a masters textbook like a maniac.
this particular section was about deriving the equations of a particle quantum tunnelling through a potential energy barrier.
good old days!
PS: i'm 22 now
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my goal is to make enough money and disappear from all the social media platforms and live peacefully.
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i implemented a small vectorstore in under 200 lines of code using numpy, it's not that difficult.
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2024 has been incredibly kind to me:
> remote job at a place i like
> can research about ML/DL on weekends
> grew 10k followers in 2-3 months on X (twitter)
> printing elon bucks from X
> a side hustle growing strong (being multidimensional)
> bought a house
i'm grateful.
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man, having a technical remote job that pays good amount of $$ while having an entirely different kind of life on the side is truly a remarkable experience to have. You get to live both simultaneously, and it really satisfies your soul.
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i haven't learnt a single thing from university, i just went there to have fun with my friends and everything i have learnt is ONLY by self-studying.
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the goal is not to work at FAANG, the goal is to work on what you truly enjoy.
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smoltex - from natural language descriptions to latex equations
made this under 2 hours, so work in progress.
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sum of two arrays in C but in parallel takes only 1.68 ms for 10,000 elements, nice.
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"Tensors from scratch" - second part of the blog series where I go through elementwise binary operations and shape broadcasting along with its algorithm and examples!
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can't believe you can just read about all the truths of life, and everything in a ₹50 book.
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it all started with this:
"become a multidimensional person and escape the matrix, Arjuna"
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i would literally do ANYTHING to watch an anime adaptation on the actual story of Mahabharat spanning multiple seasons in detail.
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> take any concept you wanna implement from scratch
> search for any available internal documentation
> if you find it, skim through it to know about any sub-concepts that you didn't know
> ask an LLM for details, not the code
> if you don't find it, think about how you would
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the most enjoyable part about building yourself day by day is the amount of satisfaction you get at each time step. all you need is to show up everyday ready to grow your range, and ready to do anything and everything without having second thoughts about where it might take you.
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> comes across a cool topic
> "wait, we can do that?"
> implements it from scratch
is a goated way to learn.
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i am about to make a presentation for the company and i will be using this image on every slide.
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some people are asking me how did i get started with coding:
> started with C++ first in 11th grade from a textbook called "Computer Science with C++" by Sumit Arora, rather than an online course.
> after that learning Python, JS, etc... was a breeze.
> textbooks are overlooked.
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a goated 44-videos playlist that goes from galileo to special relativity to general relativity with math and derivation included.
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but fr, imagine ai model names in hindi though:
> gazab-70B
> achha-7B
> waah-33B
> baapre-400B
who's building this?
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i work in the ML field but i have so much interest in computer graphics, physics, and simulations it's crazy!
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> builds something cool
> sits down to write about it
> gets too lazy
> doesn't write anything
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we now have the extremely detailed Llama-3 paper and we now have Claude which can explain it to anyone depending on their skill level. Anyone can learn about LLMs using LLMs and that for me, is beautiful.
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X is a weird place lol. Stealing someone else's idea (the multidimensional person thing I posted) and presenting it as yours is not as cool as you think. I'm not even mad, just disappointed.
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hot take: AGI is just a marketing tactic and is not within our reach.
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the unreal has no existence, and the real never ceases to be; the reality of both has thus been perceived by the seers of Truth.
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Krishna could have ended the battle of Mahabharat instantly, had he chosen to do so, yet he didn't.
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yeah go ahead be racist, hate others, fight with others but here's what it looks like from saturn, vary your perspective.
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a few years back numpy felt like magic to me, i had no idea how can someone build n-dimensional arrays using only 1D memory but now i realize i underestimated myself a lot and that you can just learn/do anything if you put in the efforts.
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i think i found a good way to tokenize audio, will need to look a bit more into preprocessing.
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why does C++ get so much hate compared to C, does it have to do with execution speed or writing and maintaining the code?
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learning ml/dl from textbooks and by self-experimentation is far better than learning it from most "step-by-step" online courses, imo. the depth of detail matters.
i started learning ml from the Hands On ML book in 2019, and i still go back to it sometimes just for the detail.
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hot take: all programming languages and all operating systems have their pros and cons, just use whatever gets your job done and save your time.
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Imagine how would it feel like to create everything, to know everything, to lay there in eternal peace and admire your entire creation. Imagine how would it feel like to be truly infinite.
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i like to explain things like a friend.
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