A short pause in the summer break… for a presentation at the 2025 ACM Conference on Reproducibility and Replicability (https://acm-rep.github.io/2025/), a super important but overlooked topic in science! I presented the paper entitled “Teaching Reproducibility and Embracing Variability: From Floating-Point Experiments to Replicating Research”| Mathieu Acher
Unmanaged variation can have steep costs, especially when left to run amok in your organization. Over time, these costs become far more substantial. You’ll find processes simply cost more, despite being designed in a specific manner. You might even notice your business’s reputation and customer satisfaction dipping over time. Noticing unmanaged variation takes […]| isixsigma.com
I recently watched a great talk by Peter van Hardenberg (aka pvh) titled “Why Can’t We Make Simple Software?”. The talk dives into the deep-rooted reasons behind the multiple kinds of complexity in software systems — even the seemingly simple ones. A brief summary and some thoughts in this post.| blog.mathieuacher.com
This is not just another blog post about chess—or at least, not only about chess. While the setting involves Stockfish, the world’s strongest open-source chess engine, the real discussion here is broader: How do we carefully assess inconsistencies in complex AI systems? When an AI model—or a highly optimized program—seems to violate fundamental expectations, how do we tell the difference between a genuine bug and an artifact of the evaluation setup? These questions brought me to the p...| Mathieu Acher
I find a way to systematically force a win in 4 moves against the last release of OpenAI (ChatGPT-4o) and in 7 moves against the best GPT at chess gpt-3.5-turbo-instruct, estimated at 1750 Elo. Clickbait: you don’t need to master chess to beat GPTs, you can well be 700 Elo, just follow the moves ;-) The story behind the discovery is interesting and worth sharing. I also discuss the generalization of the results and the implications for the future of GPTs and chess. Don’t fear the clickbai...| blog.mathieuacher.com
Short, understandable, yet accurate explanation of p-values and confidence intervals. Starting from the problem of random variability and building up with minimal jargon, this is the most accessible introduction to these basic statistical concepts. Understand the meaning and utility of confidence intervals and p-values in statistical hypothesis testing and estimation.| Blog for Web Analytics, Statistics and Data-Driven Internet Marketing | Analy...