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Forget Nvidia: Ndea wants to build AI that keeps improving on its own with ‘no bottlenecks in sight’
Unlike traditional deep learning, which interpolates between data points, program synthesis searches for discrete programs that explain data.
In a post on the startup’s new website, the founders explain their goals of combining intuitive pattern recognition, enabled by deep learning, with formal reasoning through what they call “guided program synthesis.” While acknowledging that success is not guaranteed, Chollet emphasized the importance of pursuing this ambitious goal, stating on X: “We believe we have a small but real chance of achieving a breakthrough—creating AI that can keep improving over time with no bottlenecks in sight.” Ndea derives its name from the Greek concepts ennoia(intuitive understanding) and dianoia(logical reasoning), reflecting the lab’s goal of merging deep learning and program synthesis.
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