LLMs aren't AGI and maybe aren't a path to AGI, but step back and look at the way the world is changing. Hard disks were invented by IBM in 1953 and now less than a hundred years later there's an estimated million terabytes a year of hard disks made and sold, and a total sold of Mega, Giga, Tera, Peta, Exa, Zetta ... 1.36 Zettabytes.

In 2000, webcams were barely a thing, audio was often recorded to dictaphone tapes, and now you can find a recorded photo or video of roughly anyone and anything on Earth. Maybe a tenth of all humans, almost any place, animal, insect, or natural event, almost any machine, mechanism, invention, painting, and a large sampling of "indoors" both public and private, almost any festival or event or tradition, and a very large sampling of "people doing things" and people teaching things for all kinds of skills. And tons of measurements of locations, temperatures, movements, weather, experiment results, and so on.

The ability of computers to process information jumped with punched card readers, with electronic computers in the 1950s, again with transistors in the 1970s, semiconductors in the 1980s, commodity computer clusters (Google) in the 1990s, maybe again with multi-core desktops for everyone in the 2000s, with general purpose GPUs in the 2010s, and with faster commodity networking from 10Mbit to 100Gbit and more, and with SATA, then SAS, then RAID, then SSDs.

It's now completely normal to check Google Maps to look at road traffic and how busy stores are (picked up in near realtime from the movement of smartphones around the planet), to do face and object recognition and search in photos, to do realtime face editing/enhancement while recording on a smartphone, to track increasing amounts of exercise and health data from increasing numbers of people, to call and speak to people across the planet and have your voice transcribed automatically to text, to realtime face-swap or face-enhance on a mobile chip, to download gigabytes of compressed Wikipedia onto a laptop and play with it in a weekend in Python just for fun.

"AI" stuff (LLMs, neural networks and other techniques, PyTorch, TensorFlow, cloud GPUs and TPUs), the increase in research money, in companies competing to hire the best researchers, the increase in tutorials and numbers of people around the world wanting to play with it and being able to do that ... do you predict that by 2030, 2035, 2040, 2045, 2050 ... 2100, we'll have manufactured more compute power and storage than has ever been made, several times over, and made it more and more accessible to more people, and nothing will change, nothing interesting or new will have been found deliberately or stumbled upon accidentally, nothing new will have been understood about human brains, biology, or cognition, no new insights or products or modelling or AI techniques developed or become normal, no once-in-a-lifetime geniuses having any flashes of insight?