Chasing AI Autonomy Misses Near-Term Agentic Returns

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Apple recently published a paper asking large reasoning models (LRMs) to solve some simple but lengthy algorithmic challenges, such as the Towers of Hanoi disc sorting puzzle. The models failed explosively. The models were able to solve the Towers of Hanoi challenge (in which discs are shifted across pegs according to simple rules) with three discs but failed at eight or more. The paper showed that the models guess at the output of rules, even when the algorithm is provided.

Apple’s findings aren’t unique. In a paper titled “Mind The…



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Chasing AI Autonomy Misses Near-Term Agentic Returns


Apple recently published a paper asking large reasoning models (LRMs) to solve some simple but lengthy algorithmic challenges, such as the Towers of Hanoi disc sorting puzzle. The models failed explosively. The models were able to solve the Towers of Hanoi challenge (in which discs are shifted across pegs according to simple rules) with three discs but failed at eight or more. The paper showed that the models guess at the output of rules, even when the algorithm is provided.

Apple’s findings aren’t unique. In a paper titled “Mind The…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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