Subquadratic claims to break LLM scaling limits! 1000x less costs

First, to join the early access queue, you must submit a form on their website. The startup Subquadratic, founded by ex-DeepMind and Meta engineers, claims to have developed an architecture that reduces processing costs by up to 1,000x compared to current models. Here is the breakdown of the technical claims: The bottleneck Current LLMs face a scaling wall. Doubling the input data typically causes computational costs to explode exponentially.