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

Jev has a lot to answer for. Ever since AI startup TypeSafe unveiled the decision model in mid-September, the industry has been awash with alternatives , with OpenAI, Perplexity, Cloudflare, Amazon and, most recently, Microsoft all getting involved . Decision models, it’s safe to say, are hot. Now Miami-based foundation-model startup Subquadratic has joined the rush with SubQ Snap , a decision model that it claims can process up to 384,000 tokens of text and images in a single request — 12 times Jev’s 32K-token per-decision context limit. In a blog post published on Monday, the company says...

Source: The New Stack

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