Mike X Cohen PhD, Sincxpress Education
@mikexcohen.bsky.social
310 followers 190 following 170 posts
Check out my longer posts on Substack (mostly detailed tutorials about data science and LLMs). mikexcohen.substack.com Explore my video-based courses and books ➔ sincxpress.com
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mikexcohen.bsky.social
Here’s a picture of Thalorion The Destroyer reading my calculus textbook. I hope he likes it! Otherwise he might unleash doom on humanity.
www.amazon.com/dp/B0DX6BPPZ8
mikexcohen.bsky.social
Interesting perspective. I think peer-review is imperfect but does more good than harm. I've published >100 papers and reviewed... dunno, many 100s of manuscripts. My thinking is that the incentive structure is the root of the problem, although I could be wrong. I agree with your suggestions though.
mikexcohen.bsky.social
Fair point. I suppose the question is whether the entire system needs to be revamped (I'd find that unlikely to happen, given that too many people are too vested in it) or whether relatively small changes can have meaningful impact.
mikexcohen.bsky.social
I'd love to see the evaluations in academia based on one paper every five years. Not a perfect solution, but it would increase scientific publishing signal-to-noise-ratio by encouraging researchers to put more effort into a smaller number of papers.
mikexcohen.bsky.social
That was definitely part of my decision, although I wouldn't call it a "problem." More that I was (and still am) in an extremely fortunate situation, and decided to spend my time in a career that had higher positive impact for more people, and that was also more personally satisfying.
mikexcohen.bsky.social
Thank you for taking the time to share you lucid and honest opinion.
mikexcohen.bsky.social
Thank you kindly, Thomas. My feelings, reactions, and motivations are definitely not unique, but ex-academics have an unfortunate habit of reticence.
mikexcohen.bsky.social
That is a fantastic title and topic. Congrats!
mikexcohen.bsky.social
Why I left academia and neuroscience.

This post on Substack has gained a lot of traction. I think many people identify with it.
(Most of my posts are technical tutorials on machine-learning and LLM-mechanisms.)
mikexcohen.substack.com/p/why-i-left...
Why I left academia and neuroscience
Don't worry, this isn't yet another story of rage-quitting.
mikexcohen.substack.com
mikexcohen.bsky.social
Daily Data Challenge 8: Test for Pythagorean triplets
A data challenge a day helps you master machine learning.
More exercises and solutions at mikexcohen.substack.com

youtube.com/shorts/LlqS2...
Daily Data Challenge 8: Test for Pythagorean triplets
YouTube video by Mike X Cohen
youtube.com
mikexcohen.bsky.social
genAI never fails to deliver the laughs.
mikexcohen.bsky.social
Daily Data Challenges are going strong.

Today's challenge is to create this beautiful graph using numpy and matplotlib. Can you do it?
mikexcohen.substack.com/p/ddc-18-err...
mikexcohen.bsky.social
People talk a lot about GPT5 and hallucinations and trust and so on.

But let's not forget that GPT2 is the ultimate arbiter of truth and science.

Proof of my claim? This zinger from GPT2.

Wanna explore GPT2's wisdom in your own private Python session? mikexcohen.substack.com/p/lessons-on...
mikexcohen.bsky.social
Dear bluesky neuroscientists: You should pay attention to the field of LLM mechanistic interpretability.

Not because LLMs are like real brains (they are absolutely nothing alike), but because mech interp analysis methods would be useful in neuroscience.

Start learning here: tinyurl.com/48pum4pb
LLM breakdown 1/6: Tokenization (words to integers)
Large language models can't read; instead, they are given numbers that come from text.
mikexcohen.substack.com
mikexcohen.bsky.social
One of my fav quotes: "The way you do anything is the way you do everything."

The problem with these pithy faux-philosophical quotes is that they don't stand up to scrutiny. For example, I definitely do not pick my nose with the same rigor, depth, and intensity with which I write 600-page textbooks
mikexcohen.bsky.social
Can you code the Fourier transform from scratch?

I bet you can. Spend 20 minutes on the Substack post, and you'll learn everything you need to understand and code the FT in Python.
mikexcohen.substack.com/p/the-fourie...