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AI Architecture

14 summarised stories about AI Architecture, each linking back to the original source. Browse all topics →

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Wednesday, 14 October 2026

“Take work away from frontier LLMs”: Subquadratic’s decision model claims 12x Jev’s context window

The New Stack 10 hours ago 21

Subquadratic launched SubQ Snap, a decision model that it claims can process up to 384,000 tokens per request and beat Jev’s per-decision context limit by 12x. Snap is priced at $0.05 per million input tokens, with no output charge. The larger context window is intended to let AI agents make decisions using more complete codebases and documents in a single step, reducing the need for chunking and some intermediate retrieval steps.

The Sequence Learning Loop - Issue 950: Three Models, Three Ways to Make AI Smarter

TheSequence 12 hours ago 47 ● 2 sources

Three AI model releases—Reflection’s Beam, Google’s EmbeddingGemma 2, and Mistral Large 4—each aimed at different limits on useful agent behavior. The discussion is framed in Issue 950 and argues the key question is where to spend computation rather than parameter count. It suggests a system design that retrieves the right evidence, reasons efficiently, and uses visual inspection when text alone is not enough.

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