Research & Writing
Model reports, engineering lessons, and the occasional personal system that got too useful not to write down.
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- · 3 min read · Models rivet-1b: training a small model from scratch A backdated note on rivet-1b, a 1.09B parameter model trained locally from tokenizer to post-training, with paper and weights published.
- · 5 min read · Models IBM Think 2026 - Boston The conversation at Think, across sessions, hallway conversations, and the people building on the platform, reinforced something we've been believing for a while: the era of "one large model to do everything" is (or arguably, already has) giving way to something more nuanced.
- · 6 min read · Models The Foundation Layer Earlier this year we stopped building one base model per language and trained a single one across ten. We call it tahi, "one" in Māori, because it's the first of the family and the thing every model after it stands on.
- · 4 min read · Models Closing the Style Gap - RL, DPO, and beyond It isn't always about accuracy for a translation - it's about domain-specific "vibe."
