
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
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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.
Michal Kosinski retweeted
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
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
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?
Michal Kosinski retweeted
Yeah, so I helped the Excel team with this. Excited that it's out! techcommunity.microsoft.com/…
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?
Michal Kosinski retweeted
Notatki zrobione przez psychologów podczas rozmów z dziećmi. Myśli wypowiedziane podczas sesji...
Źródło: Instytut Psychologii i Rozwoju
Michal Kosinski retweeted
I compiled my hottest reloads of 2022 for your viewing pleasure. These will definitely be hard to beat! #kommanderkarl #reloadguy
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.
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.
Michal Kosinski retweeted
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…
Michal Kosinski retweeted
cannot believe that most math teachers elect to teach 15 YEAR OLDS the former
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
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.
A new version 0.8.0 of Darts (#timeseries #forecasting #machinelearning library) by @unit8co is available. My 2 cents: github.com/unit8co/darts/blo…
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…





























