- ml
- statistics
- mvp
- swe
- machine-learning
- product-management
- engineering
•
•
•
•
•
•
-
The Bayesian Story Behind Prior-Fitted Networks
PFNs are often described as Bayesian predictors, but their training objective and inference mechanism suggest a more nuanced interpretation.
-
Why Uncertainty in Machine Learning Is Conceptually Broken
A critique of why modern ML uncertainty estimates lack clear semantics, reliable evaluation, and meaningful use cases.
-
Code Sharing at Scale in Python Monorepos with a Single Version Policy
How structuring internal modules as installable packages in a monorepo enables controlled code reuse across many containers — while keeping images lean and dependency management centralized.
-
Ethon: Why your next visual quality inspection system will be training-free
Visual inspection should not require long setup or labeling. One example should be enough to deliver reliable results. Here’s how.
-
Continual Learning - The Missing Piece of AGI
A new definition of AGI highlights what's still missing — the ability to learn continually — and why its absence makes predicting AGI's arrival impossible.