Project Turaco Is Finally Showing Promise
For more than a year, I have been trying to answer one question: can we build a machine translation model that translates English into natural Cameroon Pidgin without sounding like it is guessing? Tha
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Posts tagged #ml
I was wrong: Small is the new big for local AI agents
TL;DR: We’ve been obsessed with parameter counts for too long but running massive models locally is a pain. The real unlock isn't a smarter God-model; it's a swarm of small, specialized agents running locally. My M1 Mac is suddenly a powerhouse. Comb...
Gemini 3 is a monster.
I opened X (formerly twitter) today and saw my timeline melting down. Everywhere I looked, people were talking about gemini-3.0. Someone said "It's over.", I saw screenshots of benchmarks that looked impossible. Naturally, I was skeptical. We see hyp...
VibeVoice 1.5B: Four Distinct Voices, 90 Minutes and a Leap Forward for Text‑to‑Speech
An open-source text-to-speech model built for long-form, multi-speaker dialogue.
Explaining Reinforcement Learning to My Barber
A week ago, I had a problem. My hair was a mess, and I needed a cut, like badly. But finding a good barber when you have curly hair? That’s a whole new story. Living in Turkey, I’ve learned that while most barbers confidently say, “Yeah, I can cut yo...
Dropout in Neural Networks: Simplified Explanation for Beginners
Dropout is a widely used technique in neural networks to tackle the problem of overfitting. It plays a crucial role in modern deep learning, ensuring models generalize well to unseen data. This blog simplifies this concept for easy understanding, exp...
