while I was listening to all of you and to our wonderful scientists 00:57:28 I thought of something that the distinguished physicist Freeman Dyson wrote shortly before he died he said he believed that 00:57:40 the speed of cultural Evolution the speed of cultural evolution is now faster than the speed of biological evolution so 00:57:53 what does that mean to me it's something very simple it means that we now hold our destiny in our hands and that's what you're all talking about

Our double task is now to preserve and foster both biological evolution as Nature designed it and cultural evolution as we invented it, trying to achieve the benefits of both, and exercising a wise restraint to limit the damage when they come into conflict. With biological evolution, we should continue playing the risky game that nature taught us to play. With cultural evolution, we should use our unique gifts of language and art and science to understand each other, and finally achieve a human society that is manageable if not always peaceful, with wildlife that is endlessly creative if not always permanent.

In the near future, we will be in possession of genetic engineering technology which allows us to move genes precisely and massively from one species to another. Careless or commercially driven use of this technology could make the concept of species meaningless, mixing up populations and mating systems so that much of the individuality of species would be lost. Cultural evolution gave us the power to do this. To preserve our wildlife as nature evolved it, the machinery of biological evolution must be protected from the homogenizing effects of cultural evolution.

Biological and Cultural Evolution Six Characters in Search of an Author

Continuous remote monitoring of COPD patients—justificationand explanation of the requirements and a surveyof the available technologies

there's a lot of discussion about complex systems you know we've been discussing complex systems and i just want to make a couple of points here because uh 01:31:28 commonly some it is not uncommon that someone will say a complex system well that just means that it's liable to fall apart at any moment you know it's just too complex it's going to crash uh but and that that obviously can 01:31:41 happen you know systems can collapse quite quite true but obviously life would not be doing very well if the if if the evolution builds complexity 01:31:53 in species and you know in organisms and ecosystems if life would be have a rough go of it if it was so fragile that uh complexity became a 01:32:07 burden and and uh you know come and then you know you reach a certain level of complexity and then you fall apart that's not really i don't think i mean that can happen but that's but but complex useful complexity 01:32:19 doesn't make you fall apart it actually just does the opposite it serves what we've been talking about all along and that's problem solving so we are anticipatory organisms we are problem 01:32:31 solving organisms it's our nature most of what the human brain does is to solve problems of one kind or another social problems physical problems whatever and maneuver in the world you 01:32:43 know in a useful way and complexity is what allows that there's a number of studies that i cite here that show that as an organism even as a robot you know 01:32:56 faces uh more difficult pressures from its environment it complexifies and complexifies by complexity then it's it's it implies 01:33:08 a greater number of parts coordinating or cooperating in some way uh to you know solve this new challenge and obviously as a human we're very complex we have 01:33:22 we have complex needs we have we can think not just what's going to happen in the next millisecond but what's going to happen we can think about what's going to happen in 100 years i mean part of this project is to think about what might be 01:33:36 happening over the next hundred years or even a thousand years so as an organism complexifies it become it at least potentially becomes a better adapted to solving more complex 01:33:49 problems so you could and from that sense you could almost ex equate complexity with problem-solving capacity you know at least in a uh you know in a 01:34:01 general sense and then i talked about well that just reminds me of in the free energy calculations that we um have gone over in various papers it's like accuracy is the modeling imperative and 01:34:14 then complexity is tolerated to the extent it facilitates accurate modeling so if you get the one parameter model and you got 99 and it's adequate and it's good then you're good to go and you're gonna go for simplicity 01:34:26 but then what you're saying is actually the um appearance and the hallmark of complexity in the world it means that that organism has the need to solve problems at a given 01:34:40 level of counterfactual depth or inference skill or temporal depth temporal thickness

evolution works on a much longer time scale right than than 00:35:09 any given life and so we need to we rely pretty heavily on helpful social norms right these cultural norms that actually teach us the right way to engage with each other and that can transcend any 00:35:22 one generation um and you know we worked really hard um in the west you know not just i mean this has happened everywhere but it you know we're where we're from um to acquire norms from from that we would 00:35:35 have called you know liberal democracy right that tolerance and respect and and these things and individual rights and you know it you see those things start to erode now and you start to see some of that base 00:35:48 nature taking back over the tribalism and the seeing the other as the enemy um the outgrouping of people and it we know from history it doesn't end well there right like the erosion of these norms 00:36:02 not only will continue to exacerbate collective illusions they i i think they're the biggest threat to free society that we face in a very long time yeah yeah you made a very convincing case for that

you can't see the beetle in my box nor I the one in yours ludwig wittgenstein use the beetle in the Box analogy to suggest that the meaning of sensation words such as pain isn't given 00:01:10 by referring to some private inner introspected something a sensation to which you alone have access in his view there can't be more to the public meaning of our language than we are capable of teaching each other and the 00:01:23 private something the beetle can't have a role in that teaching because we can't get at

We are like someone who knows that a fever, a cough, and loss of smell are all symptoms of something, but has no idea about the virus that causes them.

Each new layer of Life is the result of what scientists call a major evolutionary transition? What was the cause of these transitions the answer is? Cooperation a Major Transition starts when free living creatures team up to form a cooperative group in the early stages of cooperation Participants are free to come and go as they [please] [if] a group sticks together long enough however 00:04:51 Division of labor will often evolve different participants begin specializing in different tasks as time goes on Individuals may become so specialized that they can no longer survive on their own [if] the entire group becomes locked into cooperation Depending fully on one another to survive and reproduce a new super organism has been forged and they made your evolutionary transition is complete 00:05:16 From this point on the entire group will evolve together as one Models describing natural situations that might promote the evolution of major transitions have been put forth by scientists such as John Maynard Smith [fior] Sonck Mary stuart West and w d hamilton using these models Researchers have been able to Mimic natural scenarios in the lab Allowing us to directly witness the beginnings of major transitions [evolved]

selected after transformation and used to inoculate liquid cultures

bioluminescence was observed during the incubation time between 90 and 150 min in the presence of a sole carbon source such as glucose, acetate, l-glutamate and BOD standard solution (GGA solution)

Biological sciences

Life sciences

life sciences

3 results for charles darwin

Species described by Charles Darwin

Galapagos Species Checklist

Different sets of ESR1 polymorphisms were associated with cognitive decline from CDR 0 to 0.5 and CDR 0.5 to 1. ESR1 polymorphisms (rs3853248, rs22334693 [ESR1+397], rs9340799 [ESR1+351], rs9397456, rs1801132 [ESR1+975], rs2179922, rs932477, and rs9341016) were associated with the deterioration of episodic memory among subjects with baseline CDR 0, indicating these polymorphisms might be markers for episodic memory decline at an earlier stage

p(HGNC:ESR1) hasVariant g(dbSNP:rs3853248)
p(HGNC:ESR1) hasVariant g(dbSNP:rs22334693)
p(HGNC:ESR1) hasVariant g(dbSNP:rs9340799)
p(HGNC:ESR1) hasVariant g(dbSNP:rs9397456)
p(HGNC:ESR1) hasVariant g(dbSNP:rs1801132)
p(HGNC:ESR1) hasVariant g(dbSNP:rs2179922)
p(HGNC:ESR1) hasVariant g(dbSNP:rs932477)
p(HGNC:ESR1) hasVariant g(dbSNP:rs9341016)

a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs3853248)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs22334693)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs9340799)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs9397456)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs1801132)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs2179922)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs932477)
a(NIFT:"Clinical dementia rating") pos g(dbSNP:rs9341016)

Although we observed no association between rs3785883 or rs1868402 alone and change in CDR-sb (P > .10), there was a significant association between a combined genotype model and change in CDR-sb: carriers of the high-risk genotypes at both loci progressed >2.9 times faster than noncarriers (P = .015)

g(dbSNP:rs1868402) cnc a(CTO:"Clinical_Dementia_Rating_Scale-sum_of_boxes")
g(dbSNP:rs3785883) cnc a(CTO:"Clinical_Dementia_Rating_Scale-sum_of_boxes")
composite(g(dbSNP:rs1868402),g(dbSNP:rs3785883)) pos a(CTO:"Clinical_Dementia_Rating_Scale-sum_of_boxes")

blast