Not convincing.
You can imagine model doing some primitive thinking and coming to conclusion. Then you can train another model on summaries. If everything goes well it will be coming to conclusions quicker. That's at least. Or it may be able solve more complex problems with the same amount of 'thinking'. It will be self-propelled evolution.
Another option is to use one model to produce 'thinking' part from known outputs. Then train another to reproduce thinking to get the right output, unknown to it initially. Using humans to create such dataset would be slow and very expensive.
PS: if it was impossible humans would be still living on the trees.