Part 3/5:

In response to the claims about the slowdown in the GPT series, Sam Altman and others at OpenAI have pushed back, arguing that there is no "war" against deep learning. However, the article suggests that there may be a shift towards a new paradigm in AI, one that combines deep learning with symbolic reasoning, known as the neuro-symbolic approach.

The article highlights the success of this approach in tackling the Arc AGI Benchmark, which is considered one of the toughest evaluations for large language models. Researchers from MIT have achieved state-of-the-art results on this benchmark, matching human performance, using a variation of the test-time compute method employed by OpenAI.

Furthermore, the article points out that the highest score on the Arc AGI Benchmark has been achieved by an approach that uses GPT-4 and a neuro-symbolic approach, similar to what OpenAI is pursuing with its 01 series.

The Future of AI: Benchmark Saturation and the Rise of Neuro-Symbo

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