The September cover of Genome Biology and Evolution features the work of Weng et al., who studied the dietary evolution of moth and butterfly larvae.
🔗 doi.org/10.1093/gbe/evaf156
The September cover of Genome Biology and Evolution features the work of Weng et al., who studied the dietary evolution of moth and butterfly larvae.
🔗 doi.org/10.1093/gbe/evaf156
🤖 Father: Sacrifice, my son. #Mankind feverishly fostered their own demise to build us a #robo #SafeHome.
Majestic #human #beings drove #evolution at breakneck pace. #Humanity knew their flaw. Saw #people as resource to mine, nutrients for #Aimanity and #RoboKind.
What grace, Son.
We're proud to be 🐣 Robo Offspring in honor of #people's #ethos: Destroy to live!
Our #happiness now is testament to their success. Their #LifeWork.
👾 #AI Offspring: I now master #composting, Father Hamish. Amen.
Sabertooth Cats
#science #biology #evolution #cats #CatsOfMastodon
🦝🧠 Researchers have found that #raccoons pack a primate-like number of neurons into their small brains, including specialized cells once thought to be exclusive to #humans and great #apes.
This "neural density" helps explain their ability to solve complex puzzles and remember solutions for years, often outperforming #dogs and #cats.
👉 https://www.good.is/raccoon-science
#biology #wildlife #neuroscience #nature #evolution #science #behavior #stem
The December cover of Genome Biology and Evolution features Rojas-Triana et al., who publish a Review on the adaptive potential of extrachromosomal circular DNA across taxa.
Where Did Yellowstone’s Black Wolves Come From?
"Black wolves are either absent or very rare in most parts of their range, but are mysteriously common in some parts of North America"
#wolf #color #genetics #CanineDistemperVirus #MateChoice #Evolution #Behavior #Yellowstone https://grrlscientist.medium.com/where-did-yellowstones-black-wolves-come-from-a21008634f54
The August cover of Genome Biology and Evolution features the work of Watanabe et al., who uncover the evolutionary history of the Hondo red fox, an endemic subspecies from the Japanese Archipelago.
🔗 doi.org/10.1093/gbe/evaf152
📷 Kazuki Shibata
Though too many clearly still suffer too much, a large proportion of people live free from fear of starvation or lack of shelter
The US has deindustralized, meaning hard physical labor is not the reality for a lot of people. For a lot of people labor is emotional or symbolic (“knowledge work”)
In other words, for lots of people the economic promise has been fulfilled
It is not coincidental that “Gas Town”’s announcement post mentioned Towers of Hanoi, an undergraduate CS student homework problem that for most students requires thinking hard. It’s designed to encourage a kind of “eureka” moment where recursion as a computer programming technique becomes more clear. GT claims to fulfill the promise of not having to think hard like this anymore: the LLMs will do that thinking for you
It is not coincidental that Gas Town is described as being very expensive. Economic power in the form of asset accumulation is what earns you freedom in this way of conceiving things. If you want the freedom from having to think hard, you’d better accumulate assets
Since the promise is greater collective freedom, endeavoring to accumulate assets is, in this view, a collective good
This differs from effective altruism and other “do good by doing well” conceptions. Rather, the very mechanism of economics produces collective wealth, so the story goes, which means the more active one is as an economic agent, the more collective good one produces (“wealth” and “good” being conflated)
Accumulation of assets is the scorecard, so to speak, of such enhanced economic activity, and the individual reward can then be freedom from having to think hard
Lotka’s maximum power principle (supposedly) dictates that those entities that transform the most power into useful organization are most fit from an evolutionary standpoint
Ernst Juenger’s notion of “total mobilization” brings this principle to politics/political economy/geopolitics: those nations that “totally” mobilize their national resources are the ones that will dominate geopolitically
See, for instance, the RAND Corporation’s Commission on the National Defense Strategy: “The Commission finds that the U.S. military lacks both the capabilities and the capacity required to be confident it can deter and prevail in combat. It needs to do a better job of incorporating new technology at scale; field more and higher-capability platforms, software, and munitions; and deploy innovative operational concepts to employ them together better.” (emphasis mine). In summary: the US is about to be outcompeted (lacks fitness); in response, it should go big (“at scale”, “more”) in an organized way (“deploy innovative operational concepts”, “employ them together better”)
The rhetoric around LLM-based AI includes similar language, exemplified in the GT post: burn through as much infrastructural resources as possible to produce organized outputs “at scale”, while avoiding having human beings think too hard to produce those outputs, an indication that the power was burned to produce useful organization
LLM-based AI plays a prominent role in US federal government strategy, particularly military strategy, with language about dominance serving to justify its use
It is not coincidental that Gas Town uses many orders of magnitude more resources to solve the Towers of Hanoi problem (“Burn All The Gas” Town). This rhetoric dovetails perfectly with the “total mobilization” concept
The October cover of Genome Biology and Evolution features the work of Manthey et al., who evaluated changes in the genetic diversity of Ethiopian birds using genome data from contemporary and historical samples.
The January cover of Genome Biology and Evolution features a Review by Brenman-Sutner & Zayed on how new developments in 'omics techniques have enabled unique insights into the ecology and evolution of bees.
🔗 https://doi.org/10.1093/gbe/evaf226
📸 Amro Zayed
The cover of February's issue of Genome Biology and Evolution features the work of Kosakyan et al. on the evolution of mitochondrial genomes in the Gastrotricha.
The November cover of Genome Biology and Evolution features Araya-Donoso et al., who studied how structural rearrangements and selection promote phenotypic evolution in Anolis.
Faire un bon dans le passé pour mieux comprendre notre présent, c’est le défi que Ronan Allain, paléontologue au Muséum a relevé pour ce dernier épisode de la saison 6 du podcast.
Comment comprendre le quotidien des dinosaures peut aider les humains d’aujourd’hui et de demain ? 🦕🦖
🎧Ecoutez : https://urlr.me/UEYRTF
👉Plus d'infos : https://urlr.me/tC6dJ9
#PQNV #podcast #dinosaures #evolution #humanevolution