Built a Global AQ (PM2.5) Forecaster ML Model [P]

<!-- SC_OFF --><div class="md"><p>Hey everyone,</p> <p>I am kind of desperate for help right now on my current project. I'll try and be as clear as possible.</p> <p>I'm working on

<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a

<!-- SC_OFF --><div class="md"><p>Disclosure: I built LabelSets (labelsets.ai). Sharing the technical approach behind how we score dataset quality.</p> <p>THE PROBLEM</p> <p>Most

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<!-- SC_OFF --><div class="md"><p>SupraWeather Nano is live! ⛈️</p> <p>We just released SupraWeather-Nano (preview), a small FT-Transformer model purpose-built to classify weather

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1w6d3co/weathernext_3_our_most_advanced_global_weather_ai/"> <img alt="WeatherNext 3: Our most advanced

<!-- SC_OFF --><div class="md"><p>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2e0d5/built_an_opensource_llm_router_for_consumer_gpus/"> <img alt="Built an open-source LLM router for