AI doesn’t have an “Intelligence” probl .. humans have a “Cognitive” limit
Tracking the exact number of AI model releases is difficult due to the dozens of open-source and proprietary variations that drop weekly. For example , between mid-April and early June there were over 25 major / distinct public releases from the leading labs focusing on “agentic” behavior , reasoning and multimodal capabilities .. Man !!
We blink and a new AI model arrives ..
– more parameters
– more context
– more tools
– more agents
– more capabilities .. and yet , I increasingly feel we are far away from solving the real problem.
The bottleneck is no longer machine intelligence .. It is human cognition.
Two concepts from cognitive psychology explain this surprisingly well.
𝗛𝗶𝗰𝗸’𝘀 𝗟𝗮𝘄 𝗮𝗻𝗱 𝗠𝗶𝗹𝗹𝗲𝗿’𝘀 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲.
Neither of them was created for AI , yet both may become foundational to the future of AI experiences.
1] Hick’s Law tells us that the time required to make a decision directly increases with the number of choices available.
more options .. more thinking .. more hesitation .. not necessarily better outcomes.
2] Miller’s Principle suggests that humans can actively hold only a limited number of information chunks in working memory at a time. In simple terms our brain was never designed for infinite dashboards , endless recommendations and continuous streams of information.
Now look at the world around us ..
– OTTs offers millions of viewing possibilities
– Amazon offers endless products
– Spotify offers infinite music
– AI offers infinite answers
Ironically , abundance is creating a new scarcity — “Attention Span”
For years , technology was constrained by what machines could do. Today , it is increasingly constrained by what humans can absorb. This is why I believe the next frontier of #ArtificialIntelligence will not be intelligence itself. It will be cognitive design.
The best AI systems won’t be the ones that generate the most.They will be the ones that know :
– what not to show
– what not to recommend
– when not to interrupt
– what not to ask
The greatest teacher does not overwhelm you with information. The greatest salesperson does not show you the entire catalogue — They simplify , sequence , guide. And perhaps that is where AI is heading.
Not towards becoming infinitely intelligent .. But towards becoming selectively intelligent.
In many ways , the future challenge of AI is not solving machine cognition. It is respecting human cognition. Because no matter how powerful the model becomes .. the human brain still has limits.
“Perhaps the future of AI will not belong to systems that know the most.
It may belong to systems that know exactly what not to show.”
Until next time , happy thinking !!
Author – Sumit Rajwade, Co-founder: mPrompto
