NASA Proposes "Water World" Theory For Origin of Life
William Robinson (875390) writes "A new study from researchers at Nasa's Jet Propulsion Laboratory has proposed the "water world" theory as the answer to our evolution, which describes how electrical energy naturally produced at the sea floor might have given rise to life. While the scientists had already proposed this hypothesis called 'submarine alkaline hydrothermal emergence of life' the new report assembles decades of field, laboratory and theoretical research into a grand, unified picture."
This is the theory of abiogenesis, not evolution. Evolution is how life changes, not how it got started.
"Random processes"? Any randomly assembled amino acid randomly disassembles as well; even Miller proved that.
The randomly assembled amino acid does randomly disassemble as well, but that is not what it must do. An amino acid may stay the same, disassemble, or it it may form a more complex molecule.
Here is a little demonstration of "randomly" assembling complexity in behavior. I have given each entity the ability to sense the left and rightness and ahead and behindness of 'energy' dots and their nearest peer. They also get a sense of their relative energy vs their peer. The inputs can affect two thrusters which operate like "tank treads". However, their minds are blank. They don't know what to do with the inputs or how they map to the outputs. The genetic program introduces random errors as copies runs of a genome from one parent then the other switching back and forth randomly. The selection pressure simply favors those with the most energy at the end of each generation by granting a higher chance to breed. Use the up/dn keys to change the sim speed, and click the entities to see a visualization of their simple neural network. The top left two neurons sense nearest food distance, the right two sense nearest entity, middle top is the relative energy difference of nearest peer. Note that randomness is constantly introduced, and yet their behaviors do not revert to randomness or inaction, they converge on a better solution for finding energy in their environment.
There is no pre-programed strategy for survival. Mutations occur randomly, and they are selected against, just as in nature. Given the same starting point In different runs / populations different behaviors for survival will emerge. Some may start spinning and steering incrementally towards the food, others may steer more efficiently after first just moving in a straighter path to cover the most ground (they have no visual or movement penalty for backwards, so backwards movement is 50% likely). As their n.net complexity grows their behaviors will change. Movement will tend towards more efficient methods. Some populations may become more careful instead of faster, some employ a hybrid approach by racing forwards then reversing and steering carefully after the energy/food is passed. Some entities will emerge avoidance of each other to conserve energy. Some populations will bump into each other to share energy among like minded (genetically similar) peers. Some will even switch between these strategies depending on their own energy level.
Where do all these complex behaviors come from? I didn't program them, I didn't even program in that more complex behaviors should be more favorable than less complex, and yet they emerged naturally as a product of the environment due to selection pressure upon it. Just because I can set the axon weights manually and program a behavior favorable for n.nets to solve the problem, doesn't mean randomness can't yield solutions as well. Today we can watch evolution happen right on a computer, or in the laboratory. All of this complexity came from a simple simulation of 32 neurons arranged in a simple single hidden layer neural net, with 5 simple scalar sensors and the minimal 2 movement outputs, with a simple single selection pressure. Each time you run the sim it produces different results, but all meeting the same ends, collect energy, reproduce. Just imagine what nature can do with its far more complex simulation and selection pressures... You don't have to imagine, you can look around and see for yourself.
In other more complex simulations I allow the structure of the n.nets and form of sensors to be randomly introduced and selection pressure applied. In larger simulations I allow the breeding and death of generations to occur continuously across wider areas and speciation will occur. Entities will develop specialized adaptations for a given problem space of the environment. I have created simulatio
because we think the universe had a beginning, the Big Bang.
That's not an accurate description - there's no requirement that the Big Bang be the beginning of everything. Something may have existed prior to that point; the Big Bang Theory makes no attempt to describe it.
"Well we don't understand this and probably never will, so we should ignore it."
Accepting that you don't understand something isn't the same as ignoring it. In fact making up myths about what might have happened is ignoring the reality that we don't know.
If it WAS created, then what? You are going to look pretty fucking stupid standing before the creator when you die, as smart as you think you are now.
This presupposes a long list of arbitrary ideas about the nature of a being that might have conciously created the universe:
There's absolutely no reason to believe any of these arbitrary assumptions to be the case, even if for some reason, apropos of no evidence whatsoever, you do decide to presume the universe is the consequence of a concious act.
(1.21 gigawatts) / (88 miles per hour) = 30 757 874 newtons
He wasn't using it wrong.
The structure of this thread is:
Premise 1: The Universe exists.
Premise 2: Either something came from nothing, or something always existed.
Hypothesis: That something is God.
Counterargument: The Universe is also an internally consistent "something" to fit the premise. The Universe necessarily exists due to premise 1. God does not necessarily exist given the premises, and does not better fulfill either premise. Therefore the hypothesis is unsupported.
You need to introduce new premises or arguments in order to endow God with extra attributes so that the God hypothesis passes Occam's Razor.