linkedin post 2019-03-31 03:25:38

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PROKARYOTIC CONSTRAINTS. “Prokaryotic genome size is constrained by bioenergetics. The endosymbiosis that gave rise to mitochondria restructured the distribution of DNA in relation to bioenergetic membranes, permitting a remarkable 200,000-fold expansion in the number of genes expressed." https://lnkd.in/epWvSvD View in LinkedIn
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linkedin post 2019-03-31 03:28:19

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NON-ADAPTIVE EVOLUTION. "Genome complexity is correlated with biological complexity. A recent paper by Michael Lynch proposes that evolution of complex genomic architecture was driven primarily by non-adaptive stochastic forces, rather than by adaptive evolution. A general negative relationship between selection efficiency and genome complexity provides a strong support for this hypothesis." https://lnkd.in/ePaUq-z View in LinkedIn
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linkedin post 2019-03-31 03:31:16

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CULTURAL EVOLUTION. "Once culture originates, it has the capacity to evolve on its own, and the past century has shown an explosion of technological culture, including notably the creation of computing machines and complex distributed informational networks connecting them." https://lnkd.in/dsMZPii View in LinkedIn
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linkedin post 2019-03-31 03:33:16

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TYPES OF INFORMATION. "Nature is full of hierarchical and symbiotic structures which are optimally designed in all design aspects. Ingenious solutions in nature are transmitted by genetic codes. Human information is not transferable genetically but has to be studied, stored to design codes and transmitted by education." https://lnkd.in/dYdY4x3 View in LinkedIn
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linkedin post 2019-03-31 03:44:12

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SO ENDS this two weekend noodling on the evolution of genetic and cultural complexity. For sure there are ancient creatures that have taken the path of outsourcing and streamlining their capacities, such as viruses, and thus appear deceptively simple. As usual, with nature there is rarely a single answer or a single path, but rather, a bewildering diversity of schemes that keep us forever fascinated with the flickering panoply of biology. View in LinkedIn
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linkedin post 2019-04-01 04:22:08

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INCREMENTAL TIPPING POINT. "Once sophisticated enough, an AI will be able to engage in what's called "recursive self-improvement." As an AI becomes smarter and more capable, it will subsequently become better at the task of developing its internal cognitive functions. In turn, these modifications will kickstart a cascading series of improvements, each one making the AI smarter at the task of improving itself. It's an advantage that we biological humans simply don't have." https://lnkd.in/dp3ZKye View in LinkedIn
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