Building the ZarSage AI crop cycle wizard.
In this run, Sage checks field data, soil context, prior crop history, regional guidance, SAMNUT 24 variety fit, and planting windows before drafting the plan.
Rule: do not invent missing context.
https://t.co/vQygQdvWBw
Farm experts already have their own way of doing things.
Resources in ZarSage AI lets you upload field docs, store/index them locally, and let the AI answer from your own records.
Private beta: https://t.co/j4vYsImSeu
ZarSage AI private beta is now open for macOS and Windows.
Looking for early users who work with soil reports, field plans, and crop decisions.
Join here: https://t.co/j4vYsImSeu
Just opened the macOS beta of ZarSage AI — a personal AI co-analyst for the field.
Soil-lab interpretation, historical weather, daily briefings, AI agents grounded in YOUR data.
macOS first. Windows next.
https://t.co/vQygQdvWBw
Your data is scattered. Your fields won’t wait.
Unify soil tests, 86 years of weather, and field maps. AI turns it into a clear plan.
Runs locally. Your farm data stays yours.
We taught machines to talk, now they must think ahead.
Farming won’t wait. Weather shifts. Soil changes. Risk builds.
ZarSage AI: local-first intelligence that computes locally to spot risks and suggest actions before windows close.
Waitlist: https://t.co/vQygQdwur4
I’ve been building Zarsage AI, a local-first desktop app that blends farming + AI. Local data (GIS, weather, soil) + offline tools + Frontier Model intelligence. 🌱🤖
Blog post + sneak peek here:
👉 https://t.co/gzME4i9BKm
More updates soon.
PyTorch -> #rustlang challenge! 🚀 Re-doing my Deep Learning exercises using the #burnrs framework 🔥. Started with a fun Perceptron game.
Wrote about why and how in my first blog post:
https://t.co/Xa9LiQES1V
#DeepLearning#MachineLearning#AI#rustlang#burnrs
Vuetify v3 is the complete package for building modern, responsive web interfaces 🚀 With a wide range of components and easy-to-use tools, it's a must-have for any front-end developer. Get started today in under a minute at https://t.co/JEwIx3bXt8 #VueJS#UI#Vuetify
I updated the vite vs next/turbo benchmark by using swc to transform React refresh for vite. To avoid confusion, I have deleted the previous two tweets with outdated numbers.
Latest numbers:
- root: vite 338.2ms / next 334.6ms
- leaf: vite 141.8ms / next 84.4ms