Hey everyone
I'm Manish Mehta, field CTO at Centific. I recently came across Apple's white paper, The Illusion of Thinking, and it got me wondering the future path for AI advancement, especially in the context of Apple's ecosystem. Anyone in this forum read it?
The paper points out that while today's AI models are great at generating human-like text, they often lack true understanding. They predict what to say next based on patterns but not meaning. When faced with complex tasks, their performance can collapse, highlighting a gap between surface-level fluency and genuine reasoning.
I was just thinking that to bridge this gap, I believe AI needs to be redesigned with an approach 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?
Curious for your take.
Thanks
I'm Manish Mehta, field CTO at Centific. I recently came across Apple's white paper, The Illusion of Thinking, and it got me wondering the future path for AI advancement, especially in the context of Apple's ecosystem. Anyone in this forum read it?
The paper points out that while today's AI models are great at generating human-like text, they often lack true understanding. They predict what to say next based on patterns but not meaning. When faced with complex tasks, their performance can collapse, highlighting a gap between surface-level fluency and genuine reasoning.
I was just thinking that to bridge this gap, I believe AI needs to be redesigned with an approach 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?
Curious for your take.
Thanks
