Algorithm

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Happiness ( yes, meaningful one)  blesses us only when we see life in its entirety as an anthropically  worthwhile adventure. People who identify happiness with fleeting pleasant sensations stay lifelong slaves to those biochemical algorithms.

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Blind chemomechanical  algorithms can tangle themselves into incredible stuff  like  life,  organs, plants, people, etc.

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Our instinctive virtues and vices are actually autonomous algorithms (mechanistically blind evolutionary plugins) that help us survive in brutally   indifferent Darwinian struggle.

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Norman Margolus and Tommaso Toffoli coined ‘computronium’ for any “programmable matter”.

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‘Computronium’ is a theoretical arrangement of matter that is computationally  most capable for that amount of matter. Our consciousness might be a sort of ‘instant computronium state’ of our co-ordinated body. It is not binary but varies within range allowed by Tegmarkian network -the fundamental censorship constraining chaos as well as  abracadabra.

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It is baffling to speculate what our species can achieve with artificial intelligence.
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It is baffling to speculate how far  artificial intelligence can go.
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A recent 3D simulation of the universe using  neural networks of AI monitoring how stuff interacts in space  is eerily  more accurate than traditional computer models.The creators of this AI wonder how it is possible.
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An algorithm is a set of instructions taking inputs and generating outputs.
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Every cooking recipe is an algorithm.
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Algorithm is a formal description of steps required to achieve some goal.
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Flow Chart  is a  diagram  representing an algorithm.
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An algorithm is a self-contained sequence of actions to be performed. …………………………………………
Algorithms are more like verbs than like nouns.
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Only in the last few centuries did the source of authority shift from celestial deities to flesh-and-blood humans. Soon authority might shift again – from humans to algorithms.
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Feelings are biochemical algorithms honed through millions of years of evolution to quickly calculate probabilities of survival and reproduction.
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Feelings of sexual attraction arise when other biochemical algorithms calculate that a nearby individual offers a high probability of successful mating, social bonding, or some other coveted goal.
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Moral feelings such as outrage, guilt or forgiveness derive from neural mechanisms that evolved to enable group cooperation.
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Feelings are originally evolutionary rationality.
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Our feeling was the best method in the universe for deciding what to study, who to marry, and which party to vote for. Soon computer algorithms could give you better counsel than human feelings.
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The most important medical decisions rely on the calculations of computers which understand our bodies much better than we do.
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The world might not be a playground of autonomous individuals struggling to make the right choices.
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The universe is a flow of data.
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Organisms are little more than biochemical algorithms.
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Humanity’s cosmic vocation is to create an all-encompassing data-processing system – and then merge into it.
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We are tiny chips inside a giant data-processing system absorbing and processing countless data bits through emails, tweets and articles.
Chips don’t have time to find out where they fit into the great scheme of things, because they are too busy answering all these emails.
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What was good for survival and reproduction in the African savannah a million years ago does not necessarily make for responsible behaviour on twenty- first-century motorways. Distracted, angry and anxious human drivers kill more than a million people in traffic accidents every year.
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The politicians have an illusion of choice, while the really important decisions have already been made much earlier by the economists, bankers and business people who shaped the different options in the menu. Similarly , AI might decide human choices .
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Collective nature of biological systems helps groups of different, error-prone actors variously succeed and fail at processing information together.
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Most biological systems are all made up of interacting components with only partly overlapping interests.
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Most biological systems are noisy information processors dealing with noisy signals.
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Nature can solve problems and patterns can spontaneously come from, and everything seems uncannily organized.
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Although quantum fields began as a mathematical construct, they are the most predictable of all theories.
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All physical systems extract energy and do work.
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Adaptive systems are influenced by information processing.
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Adaptive systems extract energy more efficiently even though it has to expend a little extra energy to do the information processing.
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Adaptive systems utilize the noisy process of looking out at the world, and discovering the regularities.
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An adaptive system produces an output, and it might be a good output for the environment or it might not. And then over time it hopefully gets better and better.
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Nature can win a victory over subjectivity in information processing through collective computation.
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Every human decision is a collective computation of roughly 86 billion neurons.
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The dimension of the space is equal to the number of cells in the population.
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The question of robustness is potentially quite important, as the ability of information to propagate determines how much information from the periphery will reach the deeper neural structures that affect decision making and behavior.
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The neurons go out and semi-independently collect information about the noisy input, and that’s like neural crowdsourcing. Then they come together and come to some consensus about what the decision should be.
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Collective computation deals with how social systems or other biological systems go from state A to state B.
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Collective computation deals with how a social system goes from having a few super-powerful animals to a setup where there is less inequality.
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Collective computation can measure how far a system sits from the critical point for switching between different states.
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If big contributors join, the system moves toward the critical point.
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Army ants  span gaps on the forest floor by linking their own bodies into bridges. Loose groups of shoaling fish snap into tight schools to tackle  predators. Computational rules are used by  organisms to solve such problems.

 
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Flocks of birds, networks of neurons, slime molds and other biological collectives jointly process information to arrive at group behaviors.Such metric space is a social coordinate space. It’s not Euclidean.
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Phenomenological rules in biology emerge from microscopic ground truths.
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