THE DEATH THREAT TO MICROSOFT, GOOGLE AND APPLE Look, back in ’04 I understood t

THE DEATH THREAT TO MICROSOFT, GOOGLE AND APPLE
Look, back in ’04 I understood the future of the computer interface, and by 2012 set out to produce it.

REASONING
1) The browser is a superior operating system vs the operating systems. (Google’s failure to take advantage of it.)
2) The file system centric operating system is inferior to the task or process based system that contains files if necessary – this allows context to lead data not the other way around. (Microsoft’s failure)
3) The interface that functions as a map and store of programs, projects, processes, tasks, and contexts so that every work product exists in a context is superior in organization and utility to an AI, as well as a human. (Microsoft, Google, and Apple’s failure)
4) The AI-First ‘shell’ or ‘user interface’, especially when trained on (given rules for) following process and policy and innovation where necessary is superior to human memory retention and discipline and innovation where necessary given the normal distribution of users.
5) The AI-first capacity to assimilate hundreds of causal dimensions compared to the human capacity for one to five is superior to human abilities.
6) The AI-First capacity to evaluate deduce, infer, predict, and advise across large scales of data organized as such is superior to human ability.

RESULT
We designed Oversing and Runcible for this purpose. But we are seeing OpenAI follow the same incremental reasoning. They were far behind us in that understanding, but because of their success with LLMs they have generated the capital necessary to make it happen.
This is a death sentence for every other operating system, user interface, and application.

OUR CURRENT THINKING
We can solve the two blocking problems for LLMs to develop into AGI/SI.
1) Episodic memory as index and associative network.
2) Constraint and closure (truth, reciprocity, possibility, historical evidence) as means of decidability and continuous recursive improvement.
And the economic:
3) Incremental (recursive) auto-association and prediction. (which is a cost problem)
The remaining problem will haunt us:
4) Neuromorphic computing is necessary to collapse costs. The current state of research is promising but underfunded.