Leading data team @tidiochat, solving hard problems with data; mathematician; software engineer; In ❤ with #python and numbers; opinions are my own.

Kraków, Poland
Joined August 2009
Michal Kosinski retweeted
1. install Obsidian 1.12 2. enable CLI 3. now OpenClaw, OpenCode, Claude Code, Codex, or any other agent can use Obsidian
Anything you can do in Obsidian you can do from the command line. Obsidian CLI is now available in 1.12 (early access).
185
437
83
5,813
561,725
Michal Kosinski retweeted
By popular request, GPT-4.1 will be available directly in ChatGPT starting today. GPT-4.1 is a specialized model that excels at coding tasks & instruction following. Because it’s faster, it’s a great alternative to OpenAI o3 & o4-mini for everyday coding needs.
499
1,051
366
11,033
1,589,002
As Cold War historians know, the balance of military power is not deterministic of outcomes in risk-taking competitions. Instead, they are often determined by the balance of resolve; i.e., the relative willingness to remain steadfast even as risks are increasing. 12/20
7
207
9
2,969
370,322
Michal Kosinski retweeted
I’m giving away 100 signed copies of my new book #HiddenPotential. To enter, retweet and comment by 10/21 at 11:59pm. adamgrant.net/hiddenpotentia… tinyurl.com/26spf4fu
1,233
1,509
565
2,662
706,250
Michal Kosinski retweeted
Can Python survive this? Modular, the company behind Mojo just raised $100 million dollars to fix AI infrastructure for developers. That's a lot of money! Mojo is a programming language for AI developers and is 35,000x faster than Python (Modular's benchmarks.) It combines the usability of Python and the performance of C. Starting today, they are shipping the Mojo SDK to early adopters. It will be available to everyone in early September. Do you think Mojo will take over Python for AI developers?
411
682
152
4,596
2,346,126
Michal Kosinski retweeted
25. The Importance Of Exercise The mortality gap between a smoker and non-smoker: 40%. The mortality gap between the bottom 25% of exercise fitness and top 2%: 400% The best marketing minds of their generation created anti-smoking ads -- where are the pro exercise ads?
65
674
91
4,438
672,649
Michal Kosinski retweeted
Notatki zrobione przez psychologów podczas rozmów z dziećmi. Myśli wypowiedziane podczas sesji... Źródło: Instytut Psychologii i Rozwoju
197
1,357
276
7,390
Michal Kosinski retweeted
I compiled my hottest reloads of 2022 for your viewing pleasure. These will definitely be hard to beat! #kommanderkarl #reloadguy
791
46,155
1,987
275,163
Michal Kosinski retweeted
Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is now available👇 hsph.harvard.edu/miguel-hern… Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook. Also, it's free.
24
444
42
1,546
Michal Kosinski retweeted
First things first: terminologies. The expression 𝑎ᵇ is read "𝑎 raised to the power of 𝑏." 𝑎 is called the base, and 𝑏 is called the exponent.
2
3
101
Statistical Rethinking 2022 Complete Course is complete. 20 lectures from foundations of causal & Bayesian inference through DAGS, multilevel models & poststratified causal effects to Gaussian processes, Bayesian imputation & ODEs. Theatrical trailer: youtube.com/watch?v=BYUykHSc…
38
361
65
1,789
cannot believe that most math teachers elect to teach 15 YEAR OLDS the former
92
454
135
5,958
Michal Kosinski retweeted
🚨🇺🇸 There is a new U.S. Chief Data Scientist! This is an outstanding choice & absolutely thrilled about @denicewross --> @DeniceRoss46 in this role. Why is @DeniceRoss46 so good? Here's a new thoughts in a 🧵 1/n
3
34
3
111
Facebook has released a free book: "The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks" ai.facebook.com/blog/advanci… #DeepLearning #MachineLearning #DataScience
Michal Kosinski retweeted
And here is Xception, by @fchollet, still from "Practical ML for Computer Vision" oreilly.com/library/view/pra…. A simple architecture, similar to ResNet but using depth-separable convolutions. In my experience, works better than others when trained from scratch on smaller datasets.
29
1
113
Michal Kosinski retweeted
Why were Bayesian methods ignored for most of the 20th century? People say we didn't have the computing power to make them practical, but I think that's a rationalization. We could have used Bayes; we didn't because of awful people with bankrupt ideas. allendowney.com/blog/2021/05…
8
15
6
89
Michal Kosinski retweeted
One useful mental model for statistics: every bit of certainty you achieve has to either be earned with data or bought with assumptions, and you don’t often know how much the assumptions have cost you.
5
104
5
712