Yes! thats what I mean by scaling VOLUMETRICALLY -- scaling horizontally and vertically are now replaced by volumetrically. (coining a term?)
its going to be an obloid-worping sphere-oid
Thats what I see down the pipe..?
Thoughts, anyone?
Even for training on a massive dataset, you are still limited by compute and processing time (good ole Computational Complexity), which is why HPC projects like the Exascale Compute Project were created in 2015 along with additional funding+research in efficient and alternative data structures.
I highly recommend going down the rabbit hole of High Performance/Accelerated Machine Learning.
The eminence of AI is more 'volumetric' than 'out'
Out scales "up and out like a hill or a lift"
- volumetric is spherical - it presses into the future AND the past (it already has been harvesting history, but created a fire-hosed spigot-interface for the future as well) -- and draws it into its center for eval...
They are different.
Always on the positive expressions of XYZ axis - but had ignored the negative of each, where AGI will go in all dimensions...
For example, CNNs were largely known and discovered by the 1990s-2000s, but the compute simply didn't exist yet until GPU manufacturing became commoditized.
OpenAI's massive quantum leap is thanks to the massive corpora they were able to leverage, which until the past 5 years, simply didn't exist.
This is why we've seen massive jumps in Mandarin Machine Translation and Computer Vision from the PRC due to their massive corpora/dataset of English+Mandarin language news from CCTV/CGTN and local surveillance camera data respectively.
This compute limit is a big reason why the US Federal Govt has been working on the Exascale Computing Project for example.