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- 🌁#84: Could Program Synthesis Unlock AGI?
🌁#84: Could Program Synthesis Unlock AGI?
we discuss François Chollet's combinatorial approach to reaching AGI, plus offer you a collection of interesting articles, relevant news, and must-read research papers. Dive in!
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Lately, we’ve seen many ideas making promising comebacks to further fuel our already unstoppable race toward superintelligent computers and reasoning robots. Today, let’s talk about program synthesis and why it might be a missing piece in the puzzle toward AGI.
The first time program synthesis captured our attention was in 2019, when François Chollet published his brilliant paper "On the Measure of Intelligence." In it, he introduced the Abstraction and Reasoning Corpus (ARC), a benchmark designed to evaluate human-like general intelligence. There, he emphasized the limitations of deep learning for reasoning and generalization, and argued that program synthesis could serve as a key step toward creating truly intelligent systems. By allowing AI to generate solutions dynamically – writing small programs tailored to specific tasks – program synthesis shifts the focus from static task performance to adaptability and reasoning.
Fast forward to 2025, ARC-AGI has become one of the primary benchmarks for evaluating models aspiring to AGI. François Chollet is taking his ideas even further: launching Ndea, a lab dedicated to advancing AGI by exploring the fascinating hybrid of deep learning and program synthesis. This combination, he believes, could unlock new efficiencies, enabling AI to reason abstractly, learn from minimal data, and solve a broader range of problems than ever before. Let’s see what program synthesis is, where it comes from and how it can be combined with deep learning.
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