deseando que sea solo una movida de humor negro de alto nivel

The only truly wasted time is time spent wishing you were somewhere else.

TIL youtube.com/watch?v=tRsQsTMv…

Esta sí que no la veía venir

Las weeknotes de este domingo serán mis 2c sobre $SPCX: - SpaceX y su misión - ⁠los chanchullos de NASDAQ, inversores retail, float, etc - ⁠Elon - ⁠Crypto, Prestocks, Hyperliquid - ⁠Starlink

The challenge is not vibe coding, the challenge is making it not look vibed

qué libros para emprender recomiendan?

Hace un año atras, cuando entre a @Tiendanube, uno de los desafios era crear un agent que les permita a los merchants entender mas de su negocio. Un año despues Lumi vio la luz, y hoy mas de 180.000 merchants lo estan usando. Hace una semana termine mi ciclo en Tiendanube ya que voy a estar comenzando una nueva aventura en otra empresa, pero no queria irme sin contar todo lo que aprendimos construyendo Lumi con Langgraph, y lo que conlleva llevar a un agente de este estilo a produccion. Este blog post describe los principales aprendizajes de esa experiencia, espero que sea util. Gracias a @agusparra por confiar en mi desde el primer dia, y a todo el equipo que fue parte de Lumi 💙 News coming soon.

Fable is a good model. As with all new models, it is simultaneously excellent and entirely unremarkable (relative to other models). It is slow and expensive, and the "loops are all you need" discourse they are pushing is obvious in the context of someone using Fable-class models What I've found so far is that for broad scope design (code architecture) tasks, Fable is unremarkable. Or, not better enough to justify its cost and speed. But in highly targeted goal-oriented loops, it is another beast entirely. It is very slow but produces very good results. I let it churn on optimizing a SwiftUI-layout resolver in Go I wrote and it was able to bring it down to an order of magnitude I could not reach myself (micro => nanosecond scale). But it took 2 hours and $40 to do it and I had to claw back some changes it overfit to Apple Silicon. Still, very worth it. In comparison, for "implement this feature/change" iterative work, I ran head-to-head Fable vs GPT5.5 vs. GLM-5.1. They all produced equally acceptable final results, but GPT5/GLM did it in a couple minutes and Fable was churning away for 40 minutes. And GLM cost me less than a dollar, GPT5.5 ~$1.50, and Fable cost $9. You can see that in this context, interactively working with an agent is nonsense. Its too slow. You need to write loops to keep the agent working and you probably want to highly parallelize the work being done. As with all things, I think a balance makes sense... My sense is that I'd reserve Fable for targeted, surgical analysis and work. Not for daily driving everyday tasks. I'm going to keep spending a shitload of money (relatively) and maining Fable for the rest of the week to continue to judge, will report if anything changes. I'll continue to head-to-head as well.

HAHAHAHAHAHHAHAH

Lo único que importa de Fable 5 es que se pasa el Pokémon Rojo Fuego youtube.com/watch?v=CIQBP1w4…

cash app · kids accounts by @bradwrage / @cashapp

MIÉRCOLES 20hs EN VIVO por @CeiboArgentina Al Ep.2 vienen @julesnewland y @juanduzac a hablar de @extra__app, de cómo es construir un marketplace con build in public desde el día 1, y más Como siempre nos acompañan @firmaway y @getberryapp

update your google chromes

El próximo martes a las 17:00, vamos a charlar sobre todas las formas de publicitar una empresa B2B: ⁎ sin ChatGPT ⁎ sin corbateros ⁎ sin desconocerse ⁎ sin repetir fórmulas que dejaron de funcionar hace dos años Registrate acá: luma.com/zadczb6g

Buscamos 2 devs fullstack en @lucamoneyapp 🚀 Mid-level, fintech es un plus. 🇦🇷 preferido pero full remote. Buen sueldo stock options. Más importante que el CV: ganas de laburar en serio. Mandá lo más impresionante que hiciste a mariano@lucamoney.com

qué fina que está la línea entre un buen advice de ingeniería y una psyop para que gastes más tokens

La vara estaba bajísima