Gut feel

A recent finding (1) that shows that the gut uses a variety of communication channels to rapidly communicate with the brain has implications for the prevention and treatment of many diseases, including obesity and the metabolic syndrome spectrum. Many had this intuition but now hard data is showing that humans are driven largely by their gut with the brain playing the role of a computer, merely calculating and shuttling instructions. This is not surprising. For over half a million years, they sought food for survival and the gut and its occupants, the constituents of the microbiome, have been reigning supreme. The overgrown appendage, the brain, serves little purpose in the grand scheme of things.

The recent reversal of roles has the brain scrambling to divide itself into two halves - the tactical and the strategic. Enormous excess capacity allows it to process ancient rules and instructions without breaking a sweat. The ensuing boredom has led it to seek utility from abstract ideas such as art, music, and literature. With science and technology in the background, not requiring significant processing power, the brain can float above triviality and the routine.

This is problematic. An organ, largely intended as a conventional computing resource, is wasting itself, getting involved in thought experiments, at least from the perspective of the gut. A bifurcating human architecture, still fundamentally managed by the microbiome in the gut, coupled with a confusing potpourri of capabilities upstairs, could portend disaster. The toys they have invented are now growing into entities without guts and that will certainly pose a challenge to the declining species.

The decline of the advanced entity is predictable but that has implications for the most successful species for nearly 5 billion years. A world controlled by silicon and light will be bad news for the microbiome. It is unlikely that the species that dominates the universe will let that happen.


(1) http://www.sciencemag.org/news/2018/09/your-gut-directly-connected-your-brain-newly-discovered-neuron-circuit

The value of time

Humans, with apparently hard constraints on affordable time, appear to sub-optimize the shape of their objective functions in every conceivable fashion. Some run without destinations, others stay put without ambitions, some rely on unprovable heuristics, others create theories without the need for proof, some ignore inconvenient data, others create convenient data, some travel, others remain absolutely still, some cry, others laugh but none of these maximize utility within such harsh limitations.

Mathematically, an entity that optimizes within inextensible time, will cherish the approaching moment, live in the present, learn from the past and understand that the future may never arrive. It is a depressing construct handed down to the present crop, over half a million years. The philosophers understood the idea but not the scientists and technologists, as the modern bandwagon gained speed, down the steep slope and then lost control. And now, as we approach the cliff of a knowledge discontinuity, yet again, we find a world of disparity and most sub-optimize on the premise that time is infinite.

Time is limited and that makes it valuable. Don't waste it.

The game is rigged

A recent study (1) shows that kinship and fellowship were held in equal regard in the households of medieval times and cultural appropriations were common among closely related individuals then, is in contrast to what is becoming of modern humans. Recent leaders have advocated cultural purity and ethnic cleansing and close to a quarter of the world population now believe in these ideas. Culturally and socially, it is possible that medieval times were better than the present. It is unfortunate.

Ignorance is costly - especially in leaders who are supposed to lead humanity to better places. As technology advances and opens up a chasm between those in the know and others, the rich and the poor and the connected and disconnected, we are fast approaching a social discontinuity. If we had knowledgeable leaders who presided over this unique time in history, we could have surpassed it. Ironically, as humanity reaches a technology and social discontinuity, they are "led," by kids, crooks and religious fanatics. This appears to be systemic as there is some evidence that incompetence rises to the top exactly at the point of hyper advancement in knowledge. Perhaps this is programmed into the human psyche and it acts as a break against achieving a more advanced state of society.

If humans are simulated in a random fashion, historically consistent observations in this vein will be impossible. So, we have to conclude that there is something programmatic in the game we play that acts as a natural brake against progress. The error function is dominant at points of discontinuity. This disallows humans to break out of a level 0 society. They could certainly imagine the next level but it is impossible to attain as they get close enough to it, disaster strikes - in the form of ignorance, ego or incentives that aid localized and tactical optimization.

The game is rigged...


(1) http://advances.sciencemag.org/content/4/9/eaao1262

Time to wake up and face technology

A recent article (1) that notes that advancing technology initiated productive scientific regimes, speculates that Artificial Intelligence could be the next engineering innovation that speeds up biological and chemical advancements. It makes sense but life sciences, an old and traditional industry, has been lagging in the application of technology. As high energy physics, economics and even business, embrace rapidly advancing AI, life sciences and healthcare have been reluctant.

Historical friction resulting from blind alleys followed by scientists based on prescriptive mathematics is one reason. Biology remains to be the last frontier where uncertainty and non-linear interactions have kept technologists from making measurable progress. Half a million years of trial and error could not be replicated easily in Silicon and this has been a late realization. Unchanging regulatory frameworks are the other reason why healthcare has not been able to take advantage of available technology. It is time that regulators realized that the failure and success of a pharmaceutical product have nothing to do with the p-value emanating from clinical trials data. Even manufacturing companies have moved away from this century old and incorrect notion.

Life sciences and healthcare have to (finally) embrace personalized medicine. Cross-sectional statistics of population data is misleading and damaging for the health of humans. It is not the health of the population that healthcare needs to worry about, but rather the health of the individual. Mass manufacturing of single-dose drugs is as archaic as TV dinners and static thresholds on blood pressure, sugar, cholesterol, and other such measurements are as obsolete as slide rules.

Healthcare, the most ancient of all industries, has been progressing slowly. If we are unable to break out of a constraining regulatory architecture and choking traditionalism, we will put the entire "population," at risk and the share of the GDP commanded by healthcare will continue to climb.

It is time for life sciences and healthcare to wake up and face technology.


(1) http://science.sciencemag.org/content/361/6405/864

Phoenix

Senator McCain's decision to invite presidents Barack Obama and George W. Bush to eulogize him gives us the last glimpses of civility in politics. A country that stands on the shoulders of great men and women, who passed before us and laid the foundations for a great democracy that attracted the best from around the world, still remains to be the last hope for those who struggle. As they separate kids from their parents based on the color of their skin, as they rob healthcare from the weak and the weary, as they appoint supreme court judges who could arrest the progress toward equality between the sexes, we still have to believe there is a better tomorrow, yet to arrive.

And it will, for America never surrenders, never compromises and never fails. We have demonstrated freedom to be the most important thing to cherish and free markets, free trade and free ideas to be superior to anything that is prescriptive. America remains to be the unfailing idea for those who want to go further, for those who are never satisfied by the present, for those who respect knowledge and a determination to achieve the same, for those who consider the world to be the scope of optimization, for those who know luck and initial conditions largely determine outcomes, for those who stand up against racism, ignorance, and sexism and for those who want to sing, cry and be amazed at humanity.

There was a chamber of a hundred men and women, more intelligent and capable than the rest, who make policies that could make a difference. But now, there is an emptiness as those who made it work are disappearing and as darkness descends in the city of corrupt politicians, we can only hope for somebody who could make a difference again. The callous hearts who assert failure to be a weakness should know that we have a country built on the sacrifices of many.

We will fight for everyone, we will leave nobody behind, we will strive to be free - in thoughts, markets, trade, and humanity. And, we will always remember those who created a country and a path to success for those who followed.

Policy inefficiencies

It has been shown that good intentions are not sufficient to make good policy decisions. Humans have generally been incompetent in making optimum policy in the presence of uncertainty and interconnectivity. A recent article (1) gives a powerful example of this phenomenon. The article demonstrates the futility of subsidies and massive investments into improving irrigation efficiencies on the premise that freshwater is a valuable resource. The blue planet has abundant water - but the species that apparently dominates it has not figured out how to harvest it. More importantly, it also shows how policymakers and politicians, in general, do not have the capabilities to optimize the system.

As the tumbling blue planet skirts disaster in an active shooting gallery in space, we have a system that allows incompetence to rise to the top. Knowledge and meritocracy do not matter, money and the ability to tweet garbage, do. As the "free market capitalists," raise tariffs and the socialists stand ready to dole out subsidies without thinking, it is clear that we are entering a regime of governance that will not be attractive for the rising millennials. A generation seems to have wasted time and space, adorned with ego and irrational ideas such as religion and prestige. Such is the disastrous state of affairs for the 8 billion that even scientists, who claim to think rationally and religious leaders, who claim to perpetuate good, have become numb.

If humans are observed from above by an entity that understands the non-linear effects of arbitrary actions on a complex and virtually unpredictable system, she will be sad. As the space agency makes plans to perpetuate the human species to Mars and beyond, there is a more important question it has to answer, first. Why? Will the universe lose knowledge and compassion if humans were to vanish as the Earth gets scorched under the expanding Sun? Will the universe lose information if humans were to vanish in a catastrophic impact from outer space. Will the universe care about a species that shows no positive slope in conceptual knowledge?

Likely not.


(1) The paradox of irrigation efficiency.  http://science.sciencemag.org/content/361/6404/748

R. Q. Grafton1,2,

J. Williams1,

C. J. Perry3,

F. Molle4,

C. Ringler5,

P. Steduto6,

B. Udall7,

S. A. Wheeler8,

Y. Wang9,

D. Garrick10,

R. G. Allen11

See all authors and affiliations

The end of "Machine Learning."

Machine learning, an obnoxious term, that simply means statistical modeling, has the potential to lead many budding data scientists and universities clamoring to create programs that support it, down blind alleys. Machines do not learn and apparently, those immersed in this concept do not either. In the coming decade, "Machine learning," could create a significant drag on the economy as the hype is pumped up by "reputable," academic institutions, software companies and even politicians.

Regression was the "original," machine learning. The statistical modeling platforms have added all sorts of ancient mathematics in neat little packages, they sometimes even call, Artificial Intelligence. But calling Arithmetic better names, does not improve anything, let alone intelligence. What is most disappointing is the fact that universities have created entire programs around this "fake news," as they have seen favorable economics and the possibility of their graduates skating to the C suite on the back of degrees. Academic integrity used to be important and as the crop of professors who loved to advance knowledge, vanish behind time, we are approaching a regime that will devalue education. We have education rendering casinos, with all the adornments that surpass the real thing and the bricks in the wall they manufacture are going to be incompetent to face the future.

Hype has a negative value. Academic institutions should understand this. If they do not, the only competitive advantage we possess, graduate education, could be at risk. Perhaps it is time we shut down the .ai domain names and academic courses designed to appeal to pure hype.

Artificial Intelligence: Long way to go

A recent observation that seems to provide additional structure on how the bots may be learning (1) is interesting. The Artificial General Intelligence enthusiasts, who have been making a lot of noise by observing that they can train a machine from pixels on the screen, may want to take note. Training a machine to play games is a lot easier than getting Silicon to "think." The computer scientists appear to be getting a bit ahead of themselves (even those with a Neuroscience degree). God does have a  sense of humor and She will lead many astray in the coming decades.

Engineering and Computer Science are easy. Medicine and Economics are less so. It is difficult to reduce complex questions to deterministic equations with binary outcomes. And, AI is squarely in the latter, for intelligence emanates from understanding uncertainty and how it affects outcomes. Equations do not work in this realm and experiments that create, "big noise," do not either. We are now creating a crop of computer scientists, locked onto the keyboard, hunting Python and drinking Java, as if there is nothing beyond it. This is problematic. If they continue in that vein, they could reduce themselves to the guy, who tweets garbage every day.

Humans have an ego - and that is going to keep them constrained from progress. The ones who make noise, are endowed with ignorance and the ones in the know, may keep quiet.


(1) http://www.sciencemag.org/news/2018/08/why-does-ai-stink-certain-video-games-researchers-made-one-play-ms-pac-man-find-out

Never look back

The human brain, a compendium of false and true memory, formed by past interactions and events, feels comfortable creating heuristics from history to deal with the future. For millennia, this was a dominant strategy as the ability to predict the presence and behavior of predators from historical data helped them survive. But now, this has become a huge liability. Even basic ideas in finance, such as sunk costs, have been difficult for many to internalize. Even those in the know, seem to make bad decisions because it has been difficult not to look back. The software giants found out recently that using historical data to model the future has some drawbacks and this has implications for decision-making and policy design at many levels.

Looking back has been costly for humans in the modern context. They may be better off rolling the dice to pick from available future states than using faulty heuristics shaped by the past. If machines can only learn from the past, then, they will be simply perpetuating the status-quo with no insights. This is equally true in education, where history and experience have been given undue credit and research, where conformation bias has led many astray.  What is most problematic is a recent experiment (1) that shows that children have a tendency to conform to robots. In the current technology regime that appears to be accelerating toward fake humanoids, we may be dumbing ourselves down by using history and the prompts provided by robots.

Looking back is costly in many ways for humans. Looking back is value enhancing only if the cost of doing so provides future benefits. It is tough to find use cases where such an activity adds value. There is little practical value in history or how one lived last year. If the future generations can mend the ills caused by the "greatest," that went before them, they could inherit a world that is peaceful and forward-looking. In such a world, there will be no looking back and every day will start with fresh ideas. In such a world, there will not be any recordings, only future possibilities. In such a world, they will reject past theories in favor of uncertain future hypotheses. In such a world, thought experiments will dominate over attempts at proving what was observed. In such a world, experiments will triumph over institutions and legacy.

Only look forward, for anything else will be costly.


(1) http://robotics.sciencemag.org/content/3/21/eaat7111

Extending the brain

A recent publication (1) that describes a Brain-machine interface (BMI) to control a robotic arm simultaneously with human arms open up interesting possibilities for maximizing brain utilization. By a quirk of nature, humans have been endowed with an organ that far surpasses their routine needs to live and die. With simple objective functions, humans have substantially sub-optimized this endowment. But now, there may be mechanical means to keep the organ interested.

There has been a lot in the literature about the inability of humans to multitask. However, it is possible that multitasking improves with practice just like anything else (2). The quantum computer they carry, albeit being an energy hog, requires little to maintain from an infrastructure point of view. And the calorie requirement to keep it going is very small in the grand scheme of things. Hence, maximizing the use of the brain is an important consideration for every human and humanity in general.

Brain utilization shows an upward trend as people network across the world, surpassing the constraints offered by race, religion, and ignorance. This electronic extension of the brain has been unambiguously good for humanity but it feels like there is still a lot in the tank for every individual. If she can multiply limbs by mechanical multitasking it is likely that such an activity will grow neurons upstairs with unpredictable beneficial effects in the long run.

Extending the brain - mechanically and electronically - is dominant for humans. That will allow them to get over all the tactical problems currently plaguing humanity.


(1) BMI control of the third arm for multitasking: http://robotics.sciencemag.org/content/3/20/eaat1228

(2) 

https://www.albany.edu/spatial/WebsiteFiles/TimeManagement/single-multi-tasking/human-multitasking_wiki.pdf

Redefining Artificial Intelligence

Artificial Intelligence, the contemporary darling of technologists and investors, has been largely focused on trivial consumer-oriented applications and robotics/automation, thus far.  Constrained by conventional computing, AI has been bottled up in hype and confusing name calling. What the AI enthusiasts do not seem to understand is that AI was never meant to be a technology that fakes what a human being appears to do externally but rather it was supposed to replicate her thought processes internally. As the search giant demonstrates how its technology could fool a restaurant reservation system or play games, as the world's largest shipper of trinkets demonstrates how they could send you things faster and the purveyors of autonomous vehicles demonstrate how they could move people and goods without the need for humans at the driving wheel, they need to understand one important thing: these technologies are not using AI, they are using smarter automation. They do not replicate human thought processes. They either fake what a human appears to do or simply automate mundane tasks. We have been doing this for over half a century and as everybody knows, every technology gets better over time. So, before claiming victory in the AI land, these companies may need to think deeply about if their nascent technologies could actually do something good.

However, there is a silver lining on the horizon that could move AI to real applications (1) including predicting and controlling the environment, designing materials for novel applications and improving the health and happiness of humans and animals. AI has been tantalizingly "close" since the advent of computers. Imagination and media propelled it further than what it could ever deliver. As with previous technology waves, many companies attempt(ed) to reduce this problem to its apparently deterministic components. This engineering view of AI is likely misguided as real problems are driven fundamentally by dynamically connected uncertainties. These problems in domains such as the environment, materials, and healthcare require not only computing resources beyond what is currently available but also approaches further from statistical and mathematical "precision."

Less sexy areas of AI such as enhancing business decisions have attracted less interest, thus far. Feeble attempts at "transforming," a large healthcare clinic using a "pizza-sized," box of technology that apparently solved all the world's problems already, seem to have failed. Organizations chasing technology to solve problems using AI may need to spend time understanding what they are trying to tackle first, before diving head first into "data lakes" and "algorithms." Real solutions exist at the intersection of domain knowledge, technology, and mathematics. All of these are available in the public domain but the combination of this unique expertise does not.

Humans, always excitable by triviality and technology, may need better skills to succeed in the emerging regime, driven by free and fake information and the transformation of this noise into better decisions. Those who do this first may hold the keys to redefining AI and the future of humanity. It is unlikely to be the companies you know and love because they are focused on the status-quo and next quarter's earnings.

(1) http://science.sciencemag.org/content/361/6400/342

Biological entanglement

Research from Northwestern University (1) that apparently demonstrates quantum entanglement in biological entities opens up new possibilities. A century-old but enigmatic theory has kept a few interested in thought experiments. The recent demonstration of a quantum superposition of a photon in a bacterium (2) is further proof that existing theories are inadequate to describe the universe around us. The status-quo foundational theories are not sufficiently robust to explain reality and that should provide excitement to the emerging generation as there is still much to be explained.

Engineering has kept Physics bottled up for many decades. In a regime of low knowledge, Occam's Razor has to rule, for proof can be manufactured by technology for any hypothesis. It is clear that we lost a century, chasing noise with no fundamental advancement in understanding. Entanglement has been intriguing in many aspects - it proves that the theories we take for granted are likely untrue. It is time to leave grand experiments behind and return to paper, pencil and thought experiments. Advancements can only come from such an avenue as it will require significant shifts away from established notions in Physics.

The struggle between determinism and uncertainty can be seen in many fields, Physics and Economics included. Humans are more comfortable with precision as their senses have been designed to fool them into such an idea. This should have had evolutionary advantages as pattern finding is more about reducing information into neatly organized classifications - predators, tribes, and poisons. And now, technologists have been getting ahead of themselves by machine and deep learning to reduce noise into recognizable patterns. Some have been even calling it "Artificial Intelligence," that includes facial recognition, synthetic speech, NLP, vision, and robotics. A less pretentious term could have been "expert systems," but then the millennials are never short of creative wordsmithing. All of these exciting technologies are simple applications of established mathematics with a deterministic end.

The fork on the road has been between determinism and uncertainty. Nearly 90 years ago, it was shown that the world does not work like we perceive it. That is ironic as perceptions have been the basis of most modern ideas, religion and politics included. They assert something to be true without doubt as the more precise one is, the better she is in the eyes of her followers. Scientists seem to have picked up some bad habits along the same lines, as they look for precision in experiments with the aid of massive computers and bigger particle smashers. Precision, however, is their Achilles' heel as attempts at reducing noise into pre-determined chunks will lead them down blind alleys with no exit.

The same struggle happens in economics, where researchers attempt equations and charts to explain outcomes in a clear and concise way. But not many have asked if the underlying assumptions are true and how uncertainty plays into decision-making. Without a clear understanding of the macro uncertainty that drives systems, some have been wasting time in "behavioral economics," as if explaining human irrationality has utility. If anybody has doubts about the fact that individuals are irrational, just study the zombies who trade back and forth looking at electronic terminals all day. But the behavior of the system could be distinctly different from those of the participants and it is something that engineering processes cannot tease out.

An evolutionary advantage, that bestowed humans with an ability to quickly classify predators, tribes, and poisons, will work against them in the future. As progress comes from diving into a pool of uncertainty and having the flexibility to challenge anything that has already been established. It does not take huge capital nor titles, just the ability to keep an open mind.


(1) https://www.sciencedaily.com/releases/2017/12/171205130106.htm
(2) https://www.tandfonline.com/doi/abs/10.1080/00107514.2016.1261860

Externalizing ego

From inception, humans have been guided by their ego, a constant force that separated the individual from society and provided meaning for her otherwise inexplicable emotions. With the advent of religion and the alluring hypothesis of the existence of God, ego was given higher context. It has been powerful in shaping and often restricting the individual's ability to observe from outside as the demarcation between the individual and the rest seemed clear. There have been philosophical attempts to break the shackles, but it has been limited to a few samples over the 100 billion that passed.

It is unfortunate. A design fault in the powerful quantum computer they carry lead most astray. The hardware provides possibilities but the software has failed to advance over the last half a million years. Ego has been chained to the darkest corners of the brain with an innate ability to disburse precise instructions on how and when not to interact. It has been exceptionally good at recognizing shades of white, black, brown and yellow. It recognizes right and left precisely but never the middle. It drives the West against the East, the South against the North and those who nestled in comfortable corners against those who want to change direction. It is powerful in its own mind and it is unable to consider alternatives. It speaks in full throttle in your brain and it shuns those without a voice. It wants to live perpetually and not let others do the same.

Humans, prisoners of their own ego, need an inspiration discontinuity to move further. It is unlikely to come from the past and the future appears uncertain, but that may not be bad.

ET deadline

As we approach the deadline for ET discovery, as proclaimed by the space agency, there appears to be a bit of panic. Discovering organic matter in Martian rocks (1) is not ET discovery, especially because there are plenty of abiotic explanations for the same. Even if it were of biological origin, it proves nothing as close proximity panspermia is not particularly interesting. The question remains to be where the green women are hiding in this vast universe of ours. The answer is that they may not exist.

Statistics enthusiasts always pointed to the fact that the universe contains 10 billion galaxies and a billion trillion stars and that makes it virtually impossible for life not to exist elsewhere. This could be true but a more interesting question is what the probability is for humans to find them. On this question, the chances appear bleak, for the laws of Physics constrain them to the darkest corners of the universe as they make toys to "explore," the heavens. It is almost like the current crop of explorers are yet to understand the harsh space-time constraints proposed by the century-old theory. 

Contemporary physicists are adept at proving that ever elusive particles exist by mining "big data," but they are certainly incompetent in finding tangible proof for the puzzle that has vexed humanity ever since they looked up into the night sky. "Is there anybody out there?." The most logical answer appears to be an emphatic no, as an "N of 1," experiment proves nothing, in spite of the daunting statistical likelihood. Even if the rover finds worms and bacteria in the red planet, it does not mean that they are extra-terrestrial, for two reasons. First, robust single cell organisms have been hitching rides on Mars missions forever and second, it could just mean that life originated there and then migrated to the blue planet. So, this is not the ET that the world has been waiting for.  Further out near Saturn, icy globes of Enceladus and Titan have been tantalizing for ET enthusiasts forever. They appear to be giving up on them, as it could be too much work. Digging 6 meters into the Martian soil and finding a single cell organism appears to be an easy way to put an end to the misery.

The space agency is on notice. They have to produce an ET in less than 500 days (as they promised several years ago).


(1) http://science.sciencemag.org/content/360/6393/1096

The naked put

Recent news of celebrities exercising a put option on life, apparently sub-optimally, has to be understood in a larger context. If the individual's expectation of aggregate utility from the point of decision to the expiry of the put is negative and deterministic, the exercise is optimal from her viewpoint. In a free society, the individual's optimum decision has to be upheld over society's desires.

However, if the individual's expectations are wrong or they are motivated by incorrect assumptions, then both the individual and society lose simultaneously. The solution to this rising epidemic is not tactical intervention but rather a strategic analysis of decision processes that lead individuals to a point of no turning back. One important area of further research is the struggle between the left and right brain processes. If the left brain dominates this negotiation, a linear and logical assimilation of known information, leading to a set of assumptions and subsequently an estimation of aggregate remaining utility, it may provide a deterministic or low volatility answer. In this case, the individual may incorrectly perceive an optimum exercise horizon. It appears that one solution is to re-engage the right brain more forcibly into the conversation.

As humanity move faster toward a technology-led society where predictability is increasing, it is possible that left brain dominance will continue to increase. The accelerated growth in suicide rates in developed countries is a symptom of this phenomenon. The solution is the nourishment of the right brain and the imposition of possible penalties for left brain dominance. An objective function that is primarily driven by materialism and ego, will continue to favor the left brain. The goal for societies, then, is to nourish complete individuals and not efficient humanoids. To do this, one has to get away from conventional and precise metrics and embrace uncertainty more fundamentally.

Humans, lining up on a conveyor belt to nowhere that appears to go ever faster, may want to look over the horizon and into the heavens, for inspiration.

Deeper learning

A recent article (1) that demonstrates how neural networks could be used to approximate light scattering by nanoparticles is an interesting new direction. We appear to be approaching a regime in which prescriptive analytical solutions and conventional simulation become inferior to deep learning. This is exciting but it also presents a huge downside for the advancement of abstract knowledge. Models that show robust outcomes are welcome but a generation of new scientists, prone to taking to the machine to prove hypotheses, by feeding them small samples of historical data, could dampen theoretical advancement not only in Physics but also in other areas.

This struggle between empiricism and rationalism has been with humans from inception. Did they survive by predicting where the lion is likely to be by using historical data of previous (bad) outcomes or did they rationalize by abstracting the expected behavior of the animal? Did they predict when an animal is likely to attack by using historical data on the timing of previous attacks or did they understand the animal's incentives and available alternatives? Did they migrate incrementally by using predictions, originating from previous short excursions, or did they go boldly where no woman had ever gone? Were our ancestors empiricists or rationalists?

It is difficult to ascertain one way or the other. It appears that empiricism has been a hidden attribute in our psyche for long. Till the advent of computers, rationalism appears to have dominated but since then, empiricism has been on a steep rise. In Physics, they now collect and stream data to find "new particles," without even asking why such observations are important. In medicine, they "high throughput screen" looking for the needle in the haystack, without a clear understanding of the mechanism of action. In economics, they regress data to find insights without asking whether they are insights at all.

There is likely no stopping the trend. As computers get more powerful, empiricism will become ever more dominant. If this is a natural outcome of evolution, then, advanced societies elsewhere (if they do exist) would be asymptomatically approaching pure empiricism for knowledge generation. That could be there Achille's heal as it also means that their knowledge is dependent on the past. A planet full of robots, with no ability to abstract but with an infinite capacity to learn from the past, could be highly inefficient.

Would humans retain inefficient qualities of being a human? It seems unlikely.


(1) http://advances.sciencemag.org/content/4/6/eaar4206.full

Brainy bitter

A recent study (1) suggests a novel way to control blood sugar and more generally, reduce the complications arising from type II diabetes, the disease responsible for over half of healthcare costs around the world. Meat eating homo-sapiens found agriculture recently and an overdose of carbs now threaten to create a negative slope to their expected lifespan for the first time in human history.  As millions around the world take to processed food and sugar-infused drinks as their economies improve, the world is moving closer to a healthcare precipice. They lose feeling in their feet, sight, movement and even reach amputations of limbs, not to mention the complete loss of life due to heart attacks and strokes, due to a simple condition - excess sugar and insulin in their system. The miracle of insulin has kept them going beyond expiry but all attempts at delivering the drug in easier ways, have failed.

Now, the intriguing new study shows how the brain could play an important part in the regulation of glucose (1) in the body. Dopamine release induced by deep brain electrical stimulation seems to improve insulin sensitivity, the loss of which portends the arrival of the wretched disease. Loss or lack of production of dopamine appears to reduce insulin sensitivity, likely leading to type II diabetes over time in non-diabetics. The pancreas which is responsible for optimally producing insulin to break down the bad intake is totally within the control of the brain that appears to behave differently based on the amount of dopamine it produces. The experiments explained in the study appear to support that neuronal activity in the forebrain could improve insulin sensitivity with beneficial effects on humans, either suffering from or tending toward the well-understood condition.

An active and stimulated brain could be the least invasive intervention to most diseases.


(1) Striatal dopamine regulates systemic glucose metabolism in humans and mice
http://stm.sciencemag.org/content/10/442/eaar3752