AO Labs | Applied scientists/researchers & various roles | https://www.aolabs.ai/ | Berkeley, CA + remote
AO Labs is building a more reliable alternative to deep learning and LLMs using continuously trainable, compute-efficient weightless neural networks. We are building AI that can learn after training.
We're a community of developers and researchers building general intelligence from the bottom-up and we are making space for collaborators at all levels --hackers, contributors, the curious (some of whom we’ve hired already). Get in touch: ali at aolabs.ai and I’ll share some demos.
With our framework we increase training efficiency and also combine the static pre-trained intelligence from LLMs with continuous training to learn local contexts. AI progress is bottlenecked by backpropagation, which necessitates a human in the loop to set the ground truth while also leaving a gap between training and inference that result in increasingly larger, more homogenizing models.
* If you reached out to our previous post here, please email me again and we’ll get back to you first. Our situation has changed some as a startup hence the delayed response.