A Miami startup called Subquadratic claims its AI model architecture provides a 1,000x efficiency gain, though researchers are currently calling for independent verification and proof.
Jasmine··2 min read
The AI industry is racing to optimize efficiency. Miami startup Subquadratic claims a 1,000x efficiency gain with its new architecture, sparking both excitement and skepticism, while Google’s Gemma 4 achieves a 3x speed boost via speculative decoding, setting a new bar for inference performance.
Jason··2 min read
Miami-based startup Subquadratic claims a 1,000x efficiency gain in LLMs using a subquadratic architecture. The industry remains skeptical as the company has yet to provide independent verification or academic papers.
Jason··2 min read
Miami-based Subquadratic claims its new model achieves a 1,000x efficiency gain, but the scientific community remains skeptical, calling for independent verification of these bold claims.
Jason··2 min read