Small Models Decide, Code Does, LLMs Think
I spent an evening taking model calls out of a browser agent. A Google Flights task went from 15 seconds to under 7. The biggest gains came from moving dates, ranking, and field values into code. That experiment changed how I think about where models belong in a system. What prompted it On September 15, TypeSafe AI launched Jev and called it a System One model, after Kahneman’s fast, intuitive System 1....
बोल — Shipping Marathi TTS in Your Browser
I shipped a 326 MB Marathi text-to-speech model that runs entirely in your browser via WebGPU — no server, no API keys, just <audio> and a phoneme tokenizer in TypeScript. Type Marathi (or Marathi mixed with English — Minglish), pick a voice, hit synthesize. Try it yourself: huggingface.co/spaces/shreyask/bol-tts-marathi. Requires WebGPU (Chrome 113+, Edge 113+). The model is ~326 MB, loads once, then cached in your browser. First load takes ~30s; subsequent visits are instant....
I Gave an AI a Vocabulary of Only Emoji — And It Started to Communicate
In AMC’s Pantheon, a scientist named David Kim is uploaded — his mind digitized, his body gone. His daughter discovers he’s still there, trapped inside a computer, when he starts sending her emoji through her phone. He can think in full sentences. He can remember. He can love. But the only channel he has to reach her is the emoji keyboard. I couldn’t stop thinking about that scene. So I built it....
Take Back Your Feed: Building a Privacy-First ML-Powered Content Filter
Every feed you use — Hacker News, Reddit, X — has the same problem. Either it’s chronological and you’re drowning in noise, or it’s ranked by an algorithm optimizing for engagement, not your actual interests. You scroll past 90% of what you see, hoping something relevant catches your eye before the dopamine loop wins. The usual solutions don’t help much. RSS gives you firehose-level control but no ranking. Keyword filters are blunt — blocking “crypto” also hides legitimate cryptography research....
From Sound to Text in Real-Time: Understanding Voxtral Realtime
Most speech-to-text models work like a translator reading an entire letter before responding — they need the full audio clip before they can produce any text. But what if your model could transcribe speech as it’s being spoken, word by word, with barely any delay? That’s exactly what Voxtral Mini 4B Realtime does. Released by Mistral AI under the Apache 2.0 license, it’s a 4-billion parameter model that can transcribe audio in real-time with delays as low as 80 milliseconds....