Even in 2002, my CS profs were talking about how GAI was a long time off bc we had been trying for decades to innovate on neural nets and LLMs and nothing better had been created despite some of the smartest people on the planet trying.
The compute and data are both limitations of NNs.
We've already gotten really close to the data limit (we aren't generating enough useful content as a species and the existing stuff has all been slurped up).
Standard laws of physics restrict the compute side, just like how we know we will hit it with CPUs. Eventually, you just cannot put things closer together that generate more heat because they interfere with each other because we hit the physical laws re miniaturization.
No, GAI will require new architectures no one has thought of in nearly a century.