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What would you say if I told you that aging happens not because of accumulation of stresses, but rather because of the intrinsic properties of the gene network of the organism? I’m guessing you’d be like: surprised .

So, here’s the deal. My biohacker friends led by Peter Fedichev and Sergey Filonov in collaboration with my old friend and the longevity record holder Robert Shmookler Reis published a very cool paper. They proposed a way to quantitatively describe the two types of aging – negligible senescence and normal aging. We all know that some animals just don’t care about time passing by. Their mortality doesn’t increase with age. Such negligibly senescent species include the notorious naked mole rat and a bunch of other critters like certain turtles and clams to name a few. So the paper explains what it is exactly that makes these animals age so slowly – it’s the stability of their gene networks.

What does network stability mean then? Well, it’s actually pretty straightforward – if the DNA repair mechanisms are very efficient and the connectivity of the network is low enough, then this network is stable. So, normally aging species, such as ourselves, have unstable networks. This is a major bummer by all means. But! There is a way to overcome this problem, according to the proposed math model.

The model very generally describes what happens with a gene network over time – the majority of the genes are actually working perfectly, but a small number doesn’t. There are repair mechanisms that take care of that. Also, there are mechanisms that take care of defected proteins like heat shock proteins, etc. Put together all of this in an equasion and solve it, and bam! here’s an equasion that gives you the Gompertz law for all species that have normal aging, and a time independent constant for the negligibly senescent ones.

What’s the difference between those two aging regimes? The model suggests it’s the right combination of DNA repair efficiency and the combined efficiency of proteolysis and heat shock response systems, mediating degradation and refolding of misfolded proteins. So, it’s not the accumulation of damages that is responsible for aging, but rather the properties of the gene network itself. The good news is that even we are playing with a terrible hand at first, there is a chance we can still win by changing the features of our network and making it stable. For example, by optimizing misfolded protein response or DNA repair.

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Although this article is over 5 days old plus talks about the risks identified by TechInsurance company; it does highlight the potential new wave of lawsuits in the years to come that we could see flood the law offices and courts around AI. Also, it will be interested to see over the next 5 years how laws, reg. compliance, etc. will evolve with the deployment of AI.


Technology insurance provider reminds IT businesses that technical glitches and customer behavior are significant sources of risk.

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“Virtually all new fossil fuel-burning power-generation capacity will end up “stranded”. This is the argument of a paper by academics at Oxford university. We have grown used to the idea that it will be impossible to burn a large portion of estimated reserves of fossil fuels if the likely rise in global mean temperatures is to be kept below 2C. But fuels are not the only assets that might be stranded. A similar logic can be applied to parts of the capital stock.”

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What if prospective parents had the opportunity to make decisions ahead of time about the combination of genetic traits their child would inherit? The question is more than science fiction, says Hank Greely, a law professor at Stanford University.

The underlying science and technology are advancing rapidly—and now is the time to consider carefully “what kind of legal changes would be necessary to try to maximize the benefits and minimize the harm of this new approach to making babies,” he says.

Greely explored the legal, ethical, and societal implications of emerging biotechnologies for a new book, The End of Sex and The Future of Human Reproduction (Harvard University Press, 2016), that envisions a world where procreation may not start in bedrooms, but rather in a petri dish in a medical clinic.

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The United States is transitioning from a primary reliance on fossil fuels to greater use of sustainable natural and nuclear energy sources. There are two reasons for this transition. The first reason is that the abnormally high and increasing level of atmospheric carbon dioxide has created scientific uncertainty and concern as to the detrimental impact this may have on the environment and, consequentially, human civilization. Almost certainly, this abnormal level is due to anthropogenic causes linked to the tremendous expansion in the human population since the early 1700s, the growth of human civilization (e.g., agriculture and industrialization), and the increasing use of fossil fuels. Although fossil fuels have enabled worldwide progress in elevating the standard of living, most of the world’s nations have reached the conclusion that the world should transition entirely to sustainable energy by 2100 (see “The Paris climate agreement and space solar power”, The Space Review, February 29, 2016). It is, however, very important to manage this transition carefully to avoid economic hardship or energy deprivation.

While the United States has large remaining fossil fuel resources, only some are technically recoverable with current safe, legal, and profitable extraction methods. The remaining known and yet-to-be-discovered domestic technically recoverable fossil fuels are inadequate to sustain US fossil fuel energy needs to the end of this century, especially given likely continued immigration-driven US population growth (see “US fossil fuel energy insecurity and space solar power”, The Space Review, March 7, 2016). While the United States has an ethical environmental obligation to end its use of fossil fuels by the end of the century, the reality of having inadequate oil and natural gas resources makes the urgency of transitioning successfully to new sustainable energy sources a clear matter of national energy security. This warrants federal government leadership and strong American private sector engagement.

Unfortunately, due to its large and growing population and per capita energy needs, the United States lacks sufficient suitable land to utilize terrestrial renewable energy to replace fossil fuels. (see “US terrestrial non-fossil fuel energy vs. space solar power”, The Space Review, March 14, 2016). While the United States will utilize terrestrial domestic renewable energy to the extent it is politically acceptable, many factors will likely limit their scale-up. The expansion of nuclear fission energy is also not a satisfactory approach, given the large number of reactors needed. These factors lead to the conclusion that only space-based sustainable energy, such as space solar power, will enable the United States to practically transition away from fossil fuels.

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Good read; and highlights fair arguments around science and technology innovations and their patents. CRISPR was highlighted; however, the same can be applied to things like AI. What happens when a Humanoid robot owned by an investment bank innovates and develops new technology for Wall Street? The humanoid robot was (in this example) created by Microsoft; however, is owned by a Goldman Sachs. Who truly owns this new technology innovation? Could we see Goldman Sachs owning 70% of the patent & Microsoft owning 30%?


The worlds of science, technology and patent law eagerly await the U.S. government’s decision on who deserves patents on what many have referred to as the biotechnology invention of the century: the CRISPR/Cas9 gene-editing technique.

Scientists hail CRISPR/Cas9 as more accurate and efficient than other, now-traditional genetic engineering methods. As a result, CRISPR has generated worldwide debate about how it could accelerate the manipulation of plants, animals and even human beings at the molecular level. That some DNA modifications can be passed on to future generations raises particular concern.

But the patent dispute, focusing on whether scientists at the Broad Institute of MIT and Harvard or those at University of California, Berkeley invented the technology, seems far from these ethical concerns. Each institution asserts that its scientists are the rightful inventors — and therefore the owners of the CRISPR/Cas9 patents. As proof, the scientists are submitting their published articles, laboratory notebooks and affidavits to the US Patent and Trademark Office, which will make a decision in the next few months.

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The momentum of self-driving cars on the road is accelerating with the question clearly becoming “when” not “if” the widespread use of self-driving cars will be allowed. A 2015 Business Intelligence Report forecasts a compounded annual growth rate of 134% from 2015 to 2020 with at least 10 million cars on the road by 2020.

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This should not come as a surprise, the descriptors for a car are heavily technology based with the importance of the car’s brains (software) rivaling its brawn (styling). Cars are already equipped with the ability to conduct specific tasks with varying degrees of driver interaction such as fully autonomous emergency breaking and semi-autonomous driver assisted parallel parking that are performed more adroitly — and safely — then the vehicle is operated by the driver. But the narrative of the self-driving car isn’t evolutionary but thought of as leapfrogging breakthroughs. Perhaps what has painted the imagery with futuristic color is the vocabulary of artificial intelligence. Fully autonomous driverless cars such as Google’s use an artificial intelligence system to pilot the car. In February the National Highway Traffic Safety Administration posted on its website that it informed Google that the artificial intelligence system pilot in a self-driving Google car could be considered the driver under federal law.

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