Part 10/11:
In sum, GPT-4 is likely to be an incremental improvement—more capable but still limited in scope. While its potential applications are vast, the transition from narrow language models to genuine AGI requires addressing fundamental technical and conceptual challenges ignored by a focus solely on scale.
Key Takeaways:
Development speed is slowing, indicating possible plateauing.
Multisensory integration remains unachieved.
GPT models are components, not the entire solution.
Size alone isn’t the answer; cognitive architecture matters.
Overpromising creates unrealistic expectations.