As we begin to question our biological roles during a non-biological (transhuman) era, will the role of pain remain as our sole method of detecting physical trauma or will it be replaced by a more efficient technological alternative?
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Category: biological
Today, the Earth is covered with life in countless forms, but four billion years ago there was no life on our rocky world. So, it stands to reason that sometime between then and now a single organism came into existence that started it all. This is a widely-held belief among scientists, and the name they have given that ancient organism is LUCA. It stands for “last universal common ancestor” — the one microbe that you, your dog, the guy who cut you off in traffic this morning, and the tree in your back yard all descended from.
It’s a mind-blowing concept. It makes perfect sense, but tracing the origins of the ancestor of all life on Earth is an incredibly difficult task. For a long time, scientists had settled on a timeline of between 3.5 billion and 3.8 billion years ago. Now, a new round of research has pushed that date back even further. The work was published in Nature Ecology & Evolution.
It’s important to note that LUCA isn’t thought to have been the very first cellular organism on Earth. The conditions under which life formed likely created many single-celled life forms, but only one of them had what it takes to “make it” on Earth, and that microbe is believed to be the root of everything that came later.
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Level 4 – Awareness + World model: Systems that have a modeling system complex enough to create a world model: a sense of other, without a sense of self – e.g., dogs. Level 4 capabilities include static behaviors and rudimentary learned behavior.
Level 5 – Awareness + World model + Primarily subconscious self model = Sapient or Lucid: Lucidity means to be meta-aware – that is, to be aware of one’s own awareness, aware of abstractions, aware of one’s self, and therefore able to actively analyze each of these phenomena. If a given animal is meta-aware to any extent, it can therefore make lucid decisions. Level 5 capabilities include the following: The “sense of self”; Complex learned behavior; Ability to predict the future emotional states of the self (to some degree); The ability to make motivational tradeoffs.
Level 6 – Awareness + World model + Dynamic self model + Effective control of subconscious: The dynamic sense of self can expand from “the small self” (directed consciousness) to the big self (“social group dynamics”). The “self” can include features that cross barriers between biological and non-biological – e.g., features resulting from cybernetic additions, like smartphones.
Level 7 – Global awareness – Hybrid biological-digital awareness = Singleton: Complex algorithms and/or networks of algorithms that have capacity for multiple parallel simulations of multiple world models, enabling cross-domain analysis and novel temporary model generation. This level includes an ability to contain a vastly larger amount of biases, many paradoxically held. Perspectives are maintained in separate modules, which are able to dynamically switch between identifying with the local module of awareness/perspective or the global awareness/perspective. Level 7 capabilities involve the same type of dynamic that exists between the subconscious and directed consciousness, but massively parallelized, beyond biological capacities.
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Over hundreds of millions of years of evolution, nature has produced a myriad of biological materials that serve either as skeletons or as defensive or offensive weapons. Although these natural structural materials are derived from relatively sterile natural components, such as fragile minerals and ductile biopolymers, they often exhibit extraordinary mechanical properties due to their highly ordered hierarchical structures and sophisticated interfacial design. Therefore, they are always a research subject for scientists aiming to create advanced artificial structural materials.
Through microstructural observation, researchers have determined that many biological materials, including fish scales, crab claws and bone, all have a characteristic “twisted plywood” structure that consists of a highly ordered arrangement of micro/nanoscale fiber lamellas. They are structurally sophisticated natural fiber-reinforced composites and often exhibit excellent damage tolerance that is desirable for engineering structural materials, but difficult to obtain. Therefore, researchers are seeking to mimic this kind of natural hierarchical structure and interfacial design by using artificial synthetic and abundant one-dimensional micro/nanoscale fibers as building blocks. In this way, they hope to produce high-performance artificial structural materials superior to existing materials.
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As our organization grows and we are doing more and more things, there is an ever greater need for specialist knowledge and guidance to help inform our decisions as a company. We rely on the advice and expertize of both our scientific and business advisors and we have added to them this week with two new experts joining us.
We are delighted to announce that Steven A. Garan has joined our scientific advisory board. Steven is the Director of Bioinformatics at the Center for Research & Education on Aging (CREA) and serves on its advisory board, and he is a researcher at the Lawrence Berkeley National Laboratory. While at the University of California, Berkeley, he played a major role in the invention and the development of the Automated Imaging Microscope System (AIMS), and he collaborated for many years with a group from Paola S. Timiras’ lab, researching the role that caloric restriction plays in maintaining estrogen receptor-alpha and IGH-1 receptor immunoreactivity in various nuclei of the mouse hypothalamus.
Steven was also the director of the Aging Research Center and is a leading scientist in the field of aging research. His numerous publications include articles on systems biology, the effects of caloric restriction on the mouse hypothalamus, and the AIMS. He is best known for coining the word “Phenomics”, which was defined in “Phenomics: a new direction for the study of neuroendocrine aging”, an abstract published in the journal Experimental Gerontology.
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All humans begin life as a single cell that divides repeatedly to form two, then four, then eight cells, all the way up to the ~26 billion cells that make up a newborn. Tracing how and when those 26 billion cells arise from one zygote is the grand challenge of developmental biology, a field that has so far only been able to capture and analyze snapshots of the development process.
Now, a new method developed by scientists at the Wyss Institute and Harvard Medical School (HMS) finally brings that daunting task into the realm of possibility using evolving genetic barcodes that actively record the process of cell division in developing mice, enabling the lineage of every cell in a mouse’s body to be traced back to its single-celled origin.
The research is published today in Science as a First Release article.
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