@0.426771640856 Wiki has a better interpretation of the Bremerman limit: "The limit has been further analysed in later literature as the maximum rate at which a system with energy spread can evolve into an orthogonal and hence distinguishable state to another". I adhere to the many world's theory, so the problem it is "solving" is the act of actually taking every possible route, not looking for the one that solves an optimization problem.
The narrow goal of A.I. is optimization. Chess is a specific problem but you're shifting gears to an optimization problem when there is no defined problem, or rather, you're assuming there is a very grand problem that existence is solving, harking back to Adam's Hitchhiker's Guide, which is undoubtedly not the originator of the idea. I mean, the guide itself was stole straight out of Asimov's Foundation. My view is that nothingness by definition can't exist and "everything" is being created as a result of the logical impossibility of nothingness. A finite universe seems like it would leave holes of nothingness. Related to this everythingness is Gödel's incompleteness theorem which indicates you have to have an infinite number of axioms to have a logically complete system, or an inconsistent set of axioms. My nothingness axiom fulfills both conditions: it is a recursively self-destructive axiom who's output is every other axiom.
But if we look at pieces of this everythingness such as gravitational systems emitting entropy (which keeps the Universe's comoving-volume entropy constant) (final entropy of the Universe is an open question and measured to be constant per comoving volume due to the observed homogeneity of heat, i.e. there is no heat transfer), then we can see a shift towards local order, i.e., an optimization problem being solved. The Earth intuitively feels like a computer because life seems to be going towards more local order, which is possible because it is an open system, and we can measure the amount of excess entropy it is generating. Answers to problems are fewer bits than the data behind the question so answers are less entropy.
Evolution appears to be the principle of least action (a more general form of newton's laws), which maximizes potential energy at the cost of kinetic energy over all time scales, which creates high-energy bonds and produces less heat in systems, utilizing excess energy that comes to the Earth. We release excess entropy via 17 random low energy photons for every directional photon from the sun, so that we have the opportunity to create local order.
Seeking the highest energy potential energy bonds limits the number of choices which creates "copies" which is less entropy. Less kinetic energy means less heat, which means less entropy. This is why the mass on Earth is shifting from biological bonds to silicon, metallic, and carbon bonds with oxygen removed. These elemental (more order) high energy bonds enable machines to be 20x, 100x, and 10,000,000 times more efficient than photosynthesis, muscles, and brains, respectively, at acquiring energy to move matter to make copies of the thnking machine's support structure. Brains need to move ions weighing 40,000 times more than the electrons in CPUs which is why brains are inherently outdated. Biology was not able to directly smelt metals and metalloids. Thinking machines will move electrons to model larger bits of matter in the external world in order to repeat the reproduction process more efficiently. The great depression began as muscles were replaced by machines on farm and factory. We had to shift to thinking jobs in order to remain useful to the corporate machine (which seeks fewest employees and fewest shareholders). The current problem is deciding how to distribute the wealth as more and more muscles and brains are not needed. Wealth inequality could eventually kill 90% of the human population due to people being more and more irrelevant to the efficiency-seeking evolutionary process we call economics, but that is not going to stop the biosphere from being replaced by a more efficient entropy-reducing technology.
You did ask for thoughts.