
Issue 59Published October 4, 2026
Editor noteThis archived Ash AI Daily issue retains the delivered editorial briefing and final cards.
Aleph Alpha’s new Kolibri release puts an open English-German mixture-of-experts model into the hands of teams prioritizing controlled, European deployment.
This archived Ash AI Daily issue retains the delivered editorial briefing and final cards.
Each story keeps its image, summary, impact, and linked sources in one uninterrupted reading flow.

This archived Ash AI Daily issue retains the delivered editorial briefing and final cards.

Aleph Alpha released Kolibri on 3 October: an English-German mixture-of-experts Transformer with 78.1 billion total parameters and 3.46 billion active per token. The company says it supports context lengths up to 1 million tokens; full weights are available under Apache 2.0. Its evidence is a vendor release, not an independent replication.
Kolibri gives regulated and sovereignty-focused teams another model they can evaluate and deploy under open terms, while its low active-parameter design targets a practical cost/latency trade-off. Teams should validate quality, long-context behavior and operating cost on their own workloads before production.

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