Springtail AI is developing algorithms and architectures, loosely inspired by the brain, which enable active learning -- that is, learning through experimentation and observation. This is to create agents that excel in environments where there is no prior data -- and to do new things. (c.f. LLMs). 


As part of this, we are researching transformer-successor and hybrid architectures & algorithms that improve sample efficiency and open-ended iteration. We deeply believe that enabling broadly capable information pumping will be transformative to society, including software development (imbuing users desires into code) and scientific research (driving understanding in areas where humans are challenged, e.g. population-wide diseases).

Springtail AI

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