Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model; researchers demand independent proof.
A little-known Miami-based startup called Subquadratic emerged from stealth on Tuesday with a sweeping claim: that it has built the first large language model to fully escape the mathematical constraint that has defined — and limited — every major AI system since 2017.The company claims its first model, SubQ 1M-Preview, is the first LLM built on a fully subquadratic architecture — one where compute grows linearly with context length. If that claim holds, it would be a genuine inflection point in how AI systems scale. At 12 million tokens, the company says, its architecture reduces attention compute by almost 1,000 times compared to other frontier models — a figure that, if validated independently, would dwarf the efficiency gains of any existing approach.The company is also launchi [...]
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A startup says it cracked the maths bottleneck holding back AI. It finally has the receipts.
A Miami startup says it has cracked a maths problem that has made AI models slow and power-hungry for almost a decade. The claim was bold enough to draw comparisons with Theranos. Now, though, the com [...]
Lean4: How the theorem prover works and why it's the new competitive edge in AI
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98% of market researchers use AI daily, but 4 in 10 say it makes errors — revealing a major trust problem
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Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini
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Voxel51’s New Auto-Labeling Tech Promises to Slash Annotation Costs by 100,000x
A groundbreaking new study from computer vision startup Voxel51 suggests that the traditional data annotation model is about to be upended. In research released today, the company reports that its new [...]
Xiaomi's HarnessX rewrites its own AI scaffolding mid-task — and smaller models gain the most
As enterprise AI agents take on increasingly complex, long-horizon tasks, their performance is often restricted by their harness, the software scaffolding that connects the backbone LLM to its environ [...]
How an Oregon court became the stage for a $115,000 showdown between Meta and Facebook creators
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