Alberto Torres Barrán

@albertotb.com

Machine Learning at https://komorebi.ai/

library-skills now supports uv workspaces and npm/Bun workspaces. ✨ Auto-repair and sync of skills. Improved support for .claude (additional to .agents), it will ask you interactively what to use. Plus several other bug fixes and improvements. library-skills.io

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So, naive question about these campuses that pay OpenAI $13mil/yr. Why don’t they pour that money into a cluster running the strongest available open-weight model, with API and interactive options. And if the answer is “overhead,” why aren’t we collaborating?

YAML deserves a defense! opensource.posit.co/blog/2026-05... The complaints are real but historical as they describe YAML 1.1, not the 1.2 spec that fixed them in 2009. The post traces the full history and introduces py-yaml12, a fast Rust-backed Python library for the modern spec. Hope you enjoy!

In Defense of YAML

A common refrain among developers: YAML is bad and TOML is good. This post argues otherwise, tracing the history of configuration formats, examining what YAML 1.2 actually fixed, and introducing py-ya...

opensource.posit.co

the more uncomfortable corollary to this is that I think the days of humans _reading_ the code is also mostly gone. you're producing so much code now that a human reviewer is a massive bottleneck. IMO, you need to shift validation strategies massively towards tests and flagging high risk code.

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Why is it that all modern apps with “feeds” like social media apps or even reading apps like Medium, Substack, etc. exhibit the anti pattern of refreshing and losing your spot if you switch away for even a minute? It’s absolutely infuriating.

"I have a decent fluency in LLMs, and they have utility, but the absurd degree of over-hype, the way they're being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value."

(1/3) Introduction to Multi-Stage Build 🐳👇🏼 The size of the image is a function of its dependencies and the efficiency of the image build. This tutorial focuses on resizing a #Python image using minimal images as our baseline and the multi-stage method. medium.com/data-science... #docker #mlops

Introduction to Multi-Stage Image Build for Python

This post introduces the Multi-Stage build approach for setting up a lightweight dockerized Python development environment.

medium.com

Regresa @picanumeros.bsky.social para poner los superíndices sobre los sumatorios: contra la brocha gorda estadística y la varianza de barra de bar: «No se están “cocinando” los datos de forma maquiavélica para mostrar una realidad que no es» www.sustrato.io/textos/homer...

Homer y la estadística pública | Ramón Ferri (Picanúmeros)

Hay que decirlo más: la estadística pública está en el punto de mira y nos afecta más de lo que pensamos.

sustrato.io

For those on LinkedIn who aren't aware. By default all profiles have now 'Data for Generative AI Improvement' turned on. You can turn it off via: Settings > Data Privacy > Data for Generative AI Improvement > Select the OFF option. Do not feed the planet-destroying machine!✊