Latest open artifacts (#22): Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem
Source
Florian Brand
Author
Florian Brand
Date
Key takeaways · AI-distilled
Big Tech open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → releases are loss leaders with a specific job: Alibaba uses Qwen to upsell its closed models, and NVIDIA benefits because a busy open ecosystem sells more GPUs. That's a sturdier motive than Meta's Llama-era one, which didn't hold.
Companies like JetBrains, Zed, Krea and Photoroom sell products, not tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition →, so they train small models tuned to one product need and open the weights. Giving away the weights costs them nothing because the product, not the model, is the business.
Cohere's Command A+ is a 218B-A25B mixture-of-expertsA model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.Full definition → that runs on a single B200 at 4-bit precision, and it shipped under Apache 2.0 after earlier versions in the series were noncommercial-only.
GLM-5.2 is good enough for everyday work, close to the best closed models, yet its download numbers tracked GLM-5's almost exactly. Capability gains don't automatically translate into adoption of an open release.
NVIDIA's Nemotron-Labs-Diffusion-14B runs in three modes from one set of weights: autoregressive, diffusion, and self-speculation, each suited to a different workload.
Terms in this piece · Glossary
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
Why it matters
Most open-model coverage fixates on the frontier race, but this tracks a quieter structural shift: the release landscape has broadened from a handful of mostly-Chinese labs to niche players worldwide like Zyphra, Cohere, and Poolside. Read it if you pick models to build on and want a sense of where new, non-obvious options are coming from — and why that diversification changes your bets on what stays open and supported.
Key quotes
“Attempts to slow or ban this ecosystem are not only futile, as the history of tech-related bans has shown, but also unsafe and anti-freedom .”
