Today, I created Stormoji—a daily, shareable word game that uses emojis to spark creativity and storytelling.
This idea has been sitting in my notebook for a while, but thanks to my new AI dev assistant (Aider/Claude), the barrier to execution was finally low enough to bring it to life. 
Amid the rise of AI-assisted coding and "agentic IDEs" like Bolt, Windsurf and others, I spoke with Netlify CEO @biilmann about a new design pattern he's coined: Agent Experience. https://thenewstack.io/beyond-dx-developers-must-now-learn-agent-experience-ax/ #AIDev
Accuracy! To counter regression dilution, a method is to add a constraint on the statistical modeling.
Regression Redress restrains bias by segregating the residual values.
My article: http://data.yt/kit/regression-redress.html
How to assess a statistical model?
How to choose between variables?
Pearson's #correlation is irrelevant if you suspect that the relationship is not a straight line.
If monotonic relationship:
"#Spearman’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".
"#Kendall’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."
Ref: https://statisticseasily.com/kendall-tau-b-vs-spearman/
GenAI Dev Life: Behind the Kitchen Door of AI Development
In some ways, the experience at a high-end restaurant is not unlike that of an enterprise that’s embracing generative AI. When a diner is served their food, they see a delicious meal presented nicely and ready to eat, giving little if any thought to the chaos on the other side of the kitchen door that resulted in their dinner. […]
https://thenewstack.io/genai-dev-life-behind-the-kitchen-door-of-ai-development/
Redressing #Bias: "Correlation Constraints for Regression Models":
Treder et al (2021) https://doi.org/10.3389/fpsyt.2021.615754
