Oh. So not from the actual article, then.
Can’t speak for Rumraket, but I sure do not. Press releases about scientific literature are not in their own right scientific literature. What ever trust is due the latter in no way translates to the former.
Not the actual publication presented for our consideration is what this is. What’s your point?
Deep mutational scanning does not use AI. Indeed the brief description given - “In deep mutational scanning, scientists create many mutations in a gene or region of the genome and then measure how those changes affect the organism” should have told you that.
So we can add the English language to phenotypic traits, and the difference between theory and simulation on one hand, and empirical evidence on the other, as things Paul doesn’t understand.
The article indicates that the environment “may” change, not that it will. It does not mean that “evolution is impossible”, it merely means that, in an uncertain world (and thus uncertain environment), its effects are never completely certain.
It may rain tomorrow – but that doesn’t mean that I can never get my washing dry.
From the paper you just linked:
For other proteins with complex functions (e.g. signaling proteins), large-scale mutagenesis data will need to be combined with an integrative computational model.
Yeah, I’m still getting the strong impression this is talking about AI.
Either the science writer is lying about what is in the paper, or somewhere in the paper they make the ridiculous claim that 99% of amino acid substitutions are beneficial.
Not only “not the actual publication”, but a fragment deceptively quoted out of context.
Here is what the writer actually said:
They found that more than 1% of the amino acid changing mutations they examined were beneficial. That may sound small, but in evolutionary theory it is enormous. If that many mutations are helpful, the team calculated that more than 99% of amino acid substitutions should be adaptive. Gene evolution should also happen much faster than scientists actually observe in nature.
That mismatch forced the researchers to rethink one of their assumptions. The problem, they concluded, may be that environments do not stay still.
Did you notice that the paper dates from 2014? Or that the statement you quote applies to only some proteins? Did you bother to check if the computational tools actually mentioned in the paper are AI? Noting that they will - naturally - be older than the paper?
Your impression is what you want to see.
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Machine learning is not so new that it didn’t exist in 2014, it just wasn’t mainstream yet. And in any case, we’re talking about a paper from 2025.
I just realized my mistake. The writer said “amino acid substitutions”, not “mutations”. My bad.
I still think it’s wrong, and it’s a denial of neutral theory obviously. Based on what exactly we can’t be sure.
The explosion in machine learning is relatively new - and of course the 2014 date is the most relevant to the method itself. Skimming things, looking for excuses to jump to convenient conclusions is no way to get to the truth.
You guys are not trying to get to the truth, that much is obvious. Looking for convenient ways to make rhetorical attacks on me and anyone that would dare to question evolution – that’s no way to get to the truth either.
Suffice it to say I don’t think mainstream population genetics needs to fear this paper is going to be overturning neutral theory any time soon, but maybe ICR would get a kick out of this seemingly affirming their CET model, but then claiming the environment changes so quickly that it basically cannot be tracked.
It’s funny when you apply critical thinking to these kinds of pseudoscientific claims. At the same time we are supposed to believe that environments are so ridiculously active and dynamic that what is beneficial today may be deleterious tomorrow, but at the same time they are so static that we can see millions upon millions of years of almost complete evolutionary stasis. Crazy.
Catching you making obvious errors, indulging in clear misrepresentations and jumping to erroneous conclusions are rather more significant than “mere rhetorical attacks”. And your getting angry when you are caught only compounds the issue.
You were not questioning evolution, though. The genetic entropy argument openly permits that evolution happens, and argues that in such a case life, or at least currently living lineages, must be young.
What’s your objection? Some environments change quickly, some stay the same for long periods of time. Some environments settle after being turbulent, others become very chaotic after a time of relative stasis. Nature doesn’t care how easy or convenient it is for us to describe. It is messy. It is complicated. There is nothing crazy about acknowledging it and trying to model what ever parts we can the best way we can. If anything, it’s crazy to deny the facts as they are merely because no quick little phrase can fully characterize them all.
And on that note I shall remind you again that the age of the earth – you know, the thing you are actually arguing against – is known by studying things far simpler than entire ecospheres. So as interesting as complicated problems are, pointing at how far they are from entirely solved, or how much of an effort it would be to understand what solutions there are to them (much more than would be to just “nuh-uh” at all of it), will do nothing to erase the rather complete answers to much simpler questions that beyond any doubt disprove the conclusion you are building towards.
And it’s worth noting that underpinning all of this is an apologetics arugment. Paul is not arguing in favor of a young Earth because it furthers our understanding of the natural world. It’s simply about reinforcing a particular theistic belief system.