Artificial intelligence continues to show superior inferencing capabilities, yet it lacks human-like reasoning. The pursuit of artificial general intelligence (AGI) still faces significant challenges, with large reasoning models (LRMs) being a tentative step forward. Many experts agree that the development of AI that can competently reason in diverse contexts is far from reality. Large language models (LLMs) and LRMs operate primarily on predictive analytics instead of true reasoning. The hype surrounding AGI advancements often overshadows the limited current performance of these models and their actual intelligence capabilities.
Artificial intelligence may have impressive inferencing powers, but don't count on it to have anything close to human reasoning powers anytime soon.
In other words, don't count on your meal-prep service robot to react appropriately to a kitchen fire or a pet jumping on the table and slurping up food.
The holy grail of AI has long been to think and reason as humanly as possible -- and industry leaders and experts agree that we still have a long way to go before we reach such intelligence.
There's an illusion of progress created by headline-grabbing demos, anecdotal wins, and exaggerated capabilities. In reality, truly intelligent, thinking AI is a long ways away.
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