Call me when they start bringing in legitimacy between understanding how the brain actually functions and relate it to how computation systems actually work.

The current models STRUGGLE with basic speech comprehension that humans are able to nail with significantly higher precision (Just look at LLMs that struggle with dialects between large regions like the US). Use a slang word in a modern search, or use a common definition vs the literal, AI stumbles and fails frequently. Having worked on models as someone whose job was in AI, the algorithms STRUGGLE even understanding basic concepts such as 'Yes' and 'Yeah' being interchangeable without dedicated training. There is a reason that it used to be countless humans sitting in a room teaching a machine how to do something with basic boolean values.

Current Automated Intelligence (I refuse to call it Narrow AI as it diminishes the term AI) will simply be the way of things for a long time until these companies can build trust in them and are able to actually roll out reliable items that: 1) Dont make up data. 2) Can verify data on its own. 3) Can actually understand and infer things based on when people type/say something.

True AI or what they are calling AGI nowadays is a pipe dream similar to what 3D/Augmented Reality/Holographic concepts are. There will be spikes of innovation followed by periods of stagnation. The only difference is that right now current AI models are useful in the corporate world which will lead to shorter periods of stagnation comparably.