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Morning Edition · Monday, September 14, 2026Published at 2:22 AM EDT · New York
Occamy-1.0 Puts a 35-Billion-Parameter Open Model Against Larger Agent Systems
The model is further trained from a post-trained Qwen3.6-35B-A3B checkpoint and targets the cost-per-episode problem that makes long agent workflows expensive.
A preprint posted on September 14 introduces Occamy-1.0, a 35-billion-parameter model aimed specifically at what its authors call co-work: agent workflows that combine information gathering, tool use, coding, and file manipulation across ma…
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Part of a tracked trend
Open-Weight Models Close the Gap With Closed Frontier Labs
Over the next 3-9 months, open-weight releases with downloadable weights, long context, and strong agentic/coding performance increasingly match closed frontier models on practical work, eroding the closed-lab moat.
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