Apple's Illusion of Thinking paper and Path to Real AI Reasoning

Hey everyone

I'm Manish Mehta, field CTO at Centific. I recently read Apple's white paper, The Illusion of Thinking and it got me thinking about the current state of AI reasoning. Who here has read it?

The paper highlights how LLMs often rely on pattern recognition rather than genuine understanding. When faced with complex tasks, their performance can degrade significantly.

I was just thinking that to move beyond this problem, we need to explore approaches that combines Deeper Reasoning Architectures for true cognitive capability with Deep Human Partnership to guide AI toward better judgment and understanding.

The first part means fundamentally rewiring AI to reason. This involves advancing deeper architectures like World Models, which can build internal simulations to understand real-world scenarios , and Neurosymbolic systems, which combines neural networks with symbolic reasoning for deeper self-verification.

Additionally, we need to look at deep human partnership and scalable oversight. An AI cannot learn certain things from data alone, it lacks the real-world judgment an AI will never have. Among other things, deep domain expert human partners are needed to instill this wisdom , validate the AI's entire reasoning process , build its ethical guardrails , and act as skilled adversaries to find hidden flaws before they can cause harm.

What do you all think? Is this focus on a deeper partnership between advanced AI reasoning and deep human judgment the right path forward?

Agree? Disagree?

Thanks

I think you're in the wrong place for this.

These are the Developer Forums, where developers of apps for Apple's platforms ask each other for hints and tips on coding, not on 'AI'.

Apple's Illusion of Thinking paper and Path to Real AI Reasoning
 
 
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