This latter aspect is totally missing from the Philippines scenario.
Posted by CNu at 2/26/2017 08:33:00 AM
Traditional bureaucratic foundations like Ford, Rockefeller and Carnegie were said to be giving way to “philanthrocapitalism,” a muscular new approach to charity in which the presumed entrepreneurial skills of billionaires would be applied to the world’s most pressing challenges … 
I think peer review is hindering science. In fact, I think it has become a completely corrupt system. It’s corrupt in many ways, in that scientists and academics have handed over to the editors of these journals the ability to make judgment on science and scientists. There are universities in America, and I’ve heard from many committees, that won’t consider people’s publications in low impact factor journals … it puts the judgment in the hands of people who really have no reason to exercise judgment at all. And that’s all been done in the aid of commerce, because they are now giant organizations making money out of it. 
If you have faith in the soundness of our scientific institutions, you will assume that the dissidents are marginalized for very good reason: their work is substandard. If you believe that the peer review process is fair and open, then the dearth of peer-reviewed citations for [Electric Universe] research is a damning indictment of their theory. And if you believe that the corpus of mainstream physics is fundamentally correct, and that science is progressing closer and closer to truth, you will be highly skeptical of any major departure from standard theories … Can we trust scientific consensus? Can we trust the integrity of our scientific institutions? Perhaps not. Over the last few years, a growing chorus of insider critics have been exposing serious flaws in the ways that scientific research is funded and published, leading some to go so far as to say, ‘Science is broken.’ 
’As long as publishing in high impact factor journals is a requirement for researchers to obtain positions, research funding, and recognition from peers, the major commercial publishers will maintain their hold on the academic publishing system,’ added [Professor Vincent Lariviere, lead author of the study from the University of Montreal’s School of Library and Information Science]. Then there’s the danger quotient far beyond loss of career for scientists working on classified projects. In the early days of the “Star Wars” Strategic Defense Initiative (SDI) now culminating in the Space Fence, two dozen scientists and experts working for Marconi and Plessey Defence Systems either disappeared or died under “mysterious circumstances.” Most were microbiologists.
Humans must become cyborgs and develop a direct high-bandwidth connection with machines or risk irrelevance and obsolescence, says Tesla and SpaceX founder Elon Musk.
Musk’s latest cheery thoughts were imparted at the World Government Summit in the UAE. “Over time I think we will probably see a closer merger of biological intelligence and digital intelligence,” Musk said, according to CNBC.
The main thrust of Musk’s argument seems to hinge on the limited bandwidth and processing power of a single human being. Computers can ingest, transfer, and process gigabytes of data per second, every second, forever. Meatbags, however, are severely limited by an input/output rate—talking, typing, listening—that’s best measured in bits per second. Thus, avoid replacement by robot or artificial intelligence, we need to become machines.
By way of example, Musk spoke about self-driving cars, which will very soon start displacing jobs—lots and lots of jobs. “The most near term impact from a technology standpoint is autonomous cars … There are many people whose jobs are to drive. In fact I think it might be the single largest employer of people … We need to figure out new roles for what do those people do, but it will be very disruptive and very quick.”
Autonomous vehicles are perhaps the most visible prominence when it comes to recent developments in AI, but rest assured (or not) that we aren’t even close to AI’s capability ceiling. Current deployments of AI are quite limited in that they can only perform one or two tasks adequately—drive a car, lift a piece of steel, flip a burger—but AI research is slowly bubbling towards artificial general intelligence (AGI), which can ostensibly perform every task that a human is capable of.
Once that happens, it’s fairly safe to assume that AGI will continue to improve until, in the words of Elon Musk, it is “smarter than the smartest human on earth.”
As for how humans might achieve silicon symbiosis, the jury’s still out. Musk, according to CNBC, proposed a brain-attached high-bandwidth computer link, perhaps via neural lace. Low-speed and low-resolution EEG-based brain-computer interfaces already exist, of course, but I doubt that’s what Musk has in mind. In all likelihood, we will need to massively improve our understanding of the human brain before any such interface can be created.Musk has been one of the individuals at the forefront of warning about the threats of artificial intelligence (AI) for a very long time, but it appears the thrust of his most recent comments center around concerns that a rapid increase in technology applied to the economy will result in a massive wave of job losses. This seems plausible to me, and I’ve called attention to it in the past. For example, in the 2015 post, Chinese Company Moves to Replace 90% of its Workforce with Robots,