Blockchain Thinking: The Brain as a DAC (Decentralized Autonomous Corporation)

Blockchains are a new form of information technology that could have several important future applications. They could be an explosive operational venue for new kinds of autonomous agents like DACs, distributed autonomous corporations. A DAC is a corporation run without any human involvement through a set of business rules based in software code. It is called a ‘corporation’ because it typically engages in corporate operations like fundraising, providing services, and making profits for shareholders. Blockchains are a software protocol upon which digital cryptocurrencies like Bitcoin run.

One potential application is blockchain thinking, formulating thinking as a blockchain process. This could have benefits for both artificial intelligence and human enhancement, and their potential integration. Blockchain thinking could be conceived as an input-processing-output computational system with several features whose benefits might include the ability to orchestrate digital mindfile uploads, advocate for digital intelligences in future timeframes, implement smart-contract based utility functions, instantiate thinking as a power law, and facilitate the enactment of Friendly AI.

Top 4 Killer Apps: Brain as a DAC:

1. Friendly AI – Digital intelligences will likely not be running in isolation, they will want to conduct operations on smartnetworks that are possibly managed by consensus models or other mechanisms. Any agent wanting to conduct transactions on a smartnetwork will need to be in good reputational standing to do so. Smartnetwork operations could include accessing information and other resources, fund-raising, entering into contracts, and offering services. The consensus only validates and records bonafide transactions from ‘good’ agents. Thus only friendly players would be able to have their transactions executed, and that is how friendly AI could be enacted. There are some objections to this argument, but the key point is that blockchains are a checks-and-balances system that could potentially encourage certain kinds of behavior.
2. Blockchain Deep-Learners: A crucial moment in AI research was finally having large enough data stores over which to run machine learning algorithms. Google demonstrated this with news, translation, and most recently image recognition of cats in YouTube videos. A similar ‘big data’ argument can be made for thinking where large databases of personal connectome files might lead to an understanding of how thoughts are actually represented in the brain. This understanding could inspire new classes of AI applications. As is currently being explored for EMRs and personal genomes, blockchains could be a useful privacy and access control mechanism for permissioning different parties to the large and sensitive data files more granularly Personal connectome files could also be orchestrated by blockchain processes.
3. Blockchain Advocates - One of the great potential benefits of blockchains could be instantiating smart contracts as your independent third-party advocates in uncertain future timeframes. An element of the business model that needs to be established is trustworthy oracles for confirming information. The Wikipedia of the future could be a blockchain-based oracle service to look up the current standard for digital mindfile processing, storage, and security as these standards would likely be advancing over time. “You are running on the current standard, Windows 36 and a Lloyd Quantanium 3,” your smart contract valet informs you. Thus, blockchain smart contract advocates could help digital intelligences and AI DACs feel more secure in their future survivability and also humans more comfortable in uploading their digital mindfiles.
4. Digital Mindfile Services – Already there may be many different representations of you online, and your digital identity. Over time these could become more explicitly a full and fidelitous ‘digital you’ for backup purposes (like stroke rehabilitation) or otherwise. There are already some existing online mindfile services like LifeNaut and CyBeRev. Presumably machine-learning and deep-learning algorithms will eventually crawl the web to assemble ‘digital you’ files in an automated manner, aggregating social media, photos, linkedin profiles, forum comments, academic or other published writings, etc. into a composite you, including with imputations about your value system and goals. Later brain scans and personal connectomes can be added to this data store, as well as real-time lifelogs, memory logs, idea logs, and EEG brain activity logs from quantified self EEG rigs. This could lead to being able to instantiate your mindfile as a DAC and personal thinking blockchains, enabled to carry out digital tasks on your behalf.

Beyond these killer apps of Blockchain Thinking, there could be more sophisticated uses of blockchains for computational thinking. One could be logging all of an agent’s memories and ideas as discrete units that are encoded, stored, and universally-accessible, perhaps with multiple copies and versions (such as the soft-hashing of ideas in development) that are then deployed in smart contract DACs. Another is that processing might be instantiated in a massively distributed architecture that is not available in human brains, yet still comprises the non-linearity of human thought. Third, blockchain thinking might give rise to new forms of consensus models such as self-mining ecologies and proof of intelligence, and make use of demurrage principles to redistribute brain currencies like ideas and long-term potentiation. Blockchains and blockchain thinking might be not just a tool for the immediate progress of intelligence, but also for the longer-term transition to a world of multispecies intelligence living cohesively and productively in digital societies.

More details: Texas Bitcoin Conference Presentation, Paper, Video

Cogntive Enhancement can Integrate Man and Machine

Cognitive enhancement should be conceived as the philosophical issue of the greater subjectivation possibilities for man, as opposed to primarily a bioethical concern. The current world is one in which man and technology are increasingly interlinked. One high-stakes endeavor is cognitive enhancement, of which there are different working definitions. A precise account is that cognitive enhancement is the augmentation of human skills, attributes, and competencies through the use of technology, medicine, and therapy designed to increase human performance capability (Hildt). Another is that it is the amplification or extension of core capacities of the mind through improvement or augmentation of internal or external information processing systems (Bostrom). Another is it refers to any expanded or new capacity of a human being (Buchanan). The salient distillation is that cognitive enhancement is the targeted improvement of natural human cognitive abilities.

The motivation for cognitive enhancement could be twofold. First, there are the obvious practical benefits of improved perception and memory. However, beyond this, more profoundly the reason for seeking improved cognition is the implication that it can facilitate our own growth and development as humans, actualizing ourselves and our potential more rapidly and effectively. Cognitive enhancement is an important topic for investigation because it examines our existence and also the human-technology relation. Increasingly powerful science and technology tools are emerging that may have the potential to dramatically enhance human performance, and perhaps redefine what it is to be human. Technology advances at a much higher rate than man subjectivates, and man and technology are increasingly being integrated together, with technology no longer being seen as an external tool, but as an embedded presence, such that man and technology are co-evolving and subjectivating together. The rights kinds of cognitive enhancement applications might be of benefit for both humans and technology entities, and their potential integration.

References
Bostrom, N., and Sandberg, A. (2009). "Cognitive enhancement: methods, ethics, regulatory challenges." Sci. Eng. Ethics 15, 311–341.
Buchanan, A. (2013). Beyond Humanity: The Ethics of Biomedical Enhancement. Oxford UK: Oxford University Press.
Hildt, E. and Franke, A.G., Eds. (2013). Cognitive Enhancement: An Interdisciplinary Perspective. Dordrecht DE: Springer.

2015 Top 10 Technology Trends

2015 could be an exciting year of Zero-to-One paradigm-busting innovation, honoring and distancing humanity from Excellent Sheep mode, bringing online more of our 7 billion people in a rich and connective collaboration to scale forward progress in a truly global society.

Top 10 Technology Trends: 

1. Deep-Learning
2. Wearables/IOT
3. Digital Payments
4. Video Gaming Hardware Mods
5. Quantified Self-Connected Car Integration
6. Consumer MedGadgets
7. Smarthome, Smartcity
8. Personal Robotics
9. Cognitive Computing
10. Blockchain Technology

Predictions for 2014, 2013, 2012, 2011, 2010, 2009 

Bergson-Deleuze: Incorporating Duration into Nanocognition

French philosophers Bergson and Deleuze bring to nanocognition and machine ethics interfaces the philosophical conceptualizations of image, movement, time, perception, memory, and reality that can be considered for implementation in tools for both cognitive enhancement and subjectivation (the greater actualization of human potential).

From the standpoint of an Ethics of Perception of Nanocognition, Bergson and Deleuze stress the need to see perception in itself, and machine ethics interfaces could possibly help us do this through the concept of Cinema 3: the perception-image. Having had only one default (undoubled) means of perception (taking the actualized perceptions of daily life as the only kind of perception, just as we have taken linear, spatialized, narrative time as the only form of time) has meant that we have not considered that there may be multiple ways to perceive, and that these might exist on a virtual plane of possible perceiving, and coalesce through difference into actual perception. At minimum, our nanocognitive prosthetics might be able to introduce and manage the notion of multiplicity in virtual and actual perception.

Bergson-Deleuze exhorts us to notice the doubled, internal, qualitative, subjective experience of lived phenomena like movement, time, perception, reality, and ourselves. In particular, nanocognition allows us to see the full doubling of perception, because there cannot be a doubling if there is only one unexamined mode, if perception in itself cannot be seen. It is only through duration - the doubled, subjective experience of perception (the experience of perception itself) that its virtuality and multiplicity (possibility) can be seen. Importantly, the consequence of seeing the doubled side of perception and reality is that it allows us to tune into the possibility of possibility itself. The real goal of Bergson-Deleuze is not just seeing different possibilities for ourselves, but seeing possibility itself; this is the ultimate implication for nanocognition – conceiving of nanocognition as pure possibility in and of itself.

Connected World Wearables Free Cognitive Surplus

The immediate reaction to the Connected World (26 billion devices by 2020 as predicted by Gartner; more than four connected devices per human; or really 1 for some and 20 for others) is the notion that man is becoming infantilized: over-tracked, over-surveilled, and over-directed by technology, and certainly over-dependent upon technology. We no longer seem able to think for ourselves with the cloud automatically piloting all aspects of day-to-day life with reminders, notifications, and ambiently-updating data. Worse, our lives seem automated and automatonish; where is the caprice and serendipity, the humanness?

What is the Connected World?
Increasingly we are living in a seamlessly connected world of multi-device computing that includes wearable computing, Internet-of-Things (IOT) sensors, smartphones, tablets, laptops, Quantified Self-Tracking devices (i.e.; Fitbit), smarthome, smartcar, and smartcity. We enjoy the benefits of the automation that comes with this: cloud linkage of quantified-self wearable sensor data, online social profiles, calendaring, email, smart home controls, and smart transport connected to smart city data feeds. Google automatically wakes us up in the morning (knowing our schedule (Google calendar) and our biorhythms (sleep monitor)). Google contacts continuously monitor our glucose level, and in cahoots with MyBasis (number of steps walked) and Vessyl (drink detection), recommend food and drink choices during the day, and give us our fitness profile, calories consumed, and health biostatus reports at the end of the day. Apple HealthKit (iOS 8) automatically records and uploads 200 different biometrics to the cloud. Apply Pay automates payment. Amazon Fresh quadcopter drones could circle our homes with replenishment supplies within one hour of detecting an empty milk bottle. NFC/iBeacon proximity marketing could push-notify us at the aisle level when we are in the store. TrackR alerts us if we have lost our wallet or keys, and loved ones track our geo-presence and send us haptic hugs through our MyTJacket.

Cognitive Surplus Unleashed
The easy knee-jerk reaction is that this is bad news - the Connected World means the infantilization of man by technology. However, going beyond this, it must be asked what is really happening at the higher level with the connected world, and how this could be beneficial. In fact, what is happening at the higher level is that huge classes of human time-occupying planning and coordination activities are being removed from human purview and pushed onto technology. Currently we spend exorbitant amounts of time and energy on coordination, planning, and organizing our activity, and dynamically updating and re-organizing it on demand; all the while also engaged in the subordinate activity of seeking and obtaining information related to planning and coordination. Planning and coordination constitutes 100% of our time sometimes. What Connected World cloud technologies do at the higher level is automate all of this. 

The Connected World relocates planning as a whole class of human cognitive activity, it is outsourced to technology. 

While many people might enjoy relinquishing planning and coordination as a class of human cognitive activity, others might regard it as a humanness that should be preserved, that is some how unnatural to discard. However, the more relevant question is what we will do with all of the time saved once technology has automated our planning and coordination activities. The Connected World as automated life-planning could free up over 50% of our time and allow us to more fully cogitate higher-level problems and develop new learning and interest areas. The Connected World is the automation and outsourcing of lower-level cognitive tasks that currently consume prodigious amount of our time and effort. In the newly-freed cognitive expansiveness, we could become engaged in new classes of problems, and more fully actualize our potential as humans.

iSchools: Contemporary Information Technology Theory Studies

The perfect merger of academic rigor and contemporary thinking has come together in the concept of iSchools, which give practical consideration and interesting learning opportunities to the most relevant issue of our time: information. So far there are over 50 worldwide iSchools; a global pool, like bitcoin for academia. The March 2014 conference was held in Berlin and the March 2015 conference will be at UC Irvine. With higher education under reinvention pressure from all directions, the possibility of making institutional learning relevant again cannot be underscored enough.

iSchools are the perfect venue to take up not just the practical agenda within the information technology field but also the theoretical, philosophical, and societal dimensions of the impact of information technology. There have started to be some conferences regarding ‘big data theory’ (Theory of Big Data, University College London, Jan 2015), and a calling out of the need for ‘big data theory’ (Big Data Needs a Big Theory to Go with It, Scientific American, Rise of Big Data underscores need for theory, Science News). These efforts are good, but mostly concern having theory to explain the internal operations of the field, not its greater societal and philosophical effect. In addition to how ‘big data theory’ is currently being conceptualized, an explicit consideration of the general theoretical and social impact of information technology is needed. Floridi’s distinction re: philosophy of information is apt; the main focus is how the field changes society, not the internecine methods of the field.

Research Agenda:
Contemporary Information Technology Theory Studies 
Here is a thumbnail sketch of a research agenda for Contemporary Information Technology Theory Studies. Early examples of topics taken up at institutes and think tanks (like Data&Society) are a good start and should be expanded and included in the academic setting. A more appropriately robust agenda will consider the broad theoretical, social, and philosophical impact of the classes of information technology below that are dramatically reshaping the world, including specifically how our ideas of self and world, and future possibilities are changing.

• Big Data (big data, smart data, personal data, group data)  
• Blockchain Technology (Institute for Blockchain Studies) 
• The Brain as an Information Technology (computational neuroscience, connectome, in-silico simulation, cognitive enhancement) 
• Smartcity, Connected World, Self-driving Vehicles 

Cognitive Nanorobots for Pathology Resoulution and Enhancement

One way to think of cognitive nanorobots is as a subset of medical nanorobots, meaning nanorobots for use in the body related to medical purposes, in this case, neural processes. Nanorobots are tiny computing machines at the nanoscale that can perform a variety of operations within the human body and beyond.

In the strictest sense, nanorobots are still conceptual: the Oxford English Dictionary definition of nanorobots (nanobots) is hypothetical very small (nanoscale) self-propelled machines, especially ones that have some degree of autonomy and can reproduce. While this definition that includes autonomy and reproducibility is one for the farther future, in reality there are a number of nanoscale inorganic objects that have already been in use in the body for some time in a variety of medical applications. So far, the activity scope of these nano-objects has been pathology resolution, but the same kinds of techniques and characterization of the underlying biological processes could be explored for enhancement purposes.

The most developed area of nanomedicine is nanoparticle drug delivery (designed particles that disgorge cargo in cellular destinations per simple onboard logic instructions) and other therapeutic techniques, followed by nano-diagnostics, and nano-imaging (like quantum dot imaging) (Boysen 2014). Some of the more recent interesting applications are nanosponge waste soak-up and biomimetic detoxification (Hu 2013), optogenetics (controlling the brain with light) (Klapoetke 2014), and neural dust brain sensors that might be able to read whole sections of brain activity externally (Seo 2013). The current status of the development of neural nanomedicine is well covered in the scientific literature (Provenzale 2010, Kateb 2013, Schulz 2009, Mavroidis 2014, and Boehm 2013).

Thinking in the longer-term, Robert Freitas has designed several classes of medical nanorobots such as respirocytes, clottocytes, vasculoids, and microbivores that could perform a variety of biophysical clean-up, maintenance, and augmentation functions in the body (Freitas 2003). One example of neural nanorobotic clean-up is autonomous diamondoid “defuscin” class nanodevices. These are conceptual nanodevices designed to eliminate the residual lipofuscin waste granules in lysosomes (the ‘trash compactor’ of the cell) that the body cannot fully digest.

References:
Boehm, F. (2013). Nanomedical Device and Systems Design: Challenges, Possibilities, Visions. New York, NY: CRC Press, especially Chapter 17: Nanomedicine in Regenerative Biosystems, Human Augmentation, and Longevity, 654-722.
Boysen, E. (2014). Nanotechnology in Medicine – Nanomedicine. UnderstandingNano.com. Retrieved from http://www.understandingnano.com/medicine.html.
Freitas, R., Jr. (2003). Nanomedicine, Vol. IIA: Biocompatibility. Austin, TX: Landes Bioscience.
Kateb, B. & Heiss, J.D. (Eds). (2013). The Textbook of Nanoneuroscience and Nanoneurosurgery. New York, NY: CRC Press.
Klapoetke, N.C., Murata, Y., Kim, S.S., Pulver, S.R., Birdsey-Benson, A., et al. (2014). Independent Optical Excitation of Distinct Neural Populations. Nature Methods, 11, 338–346.
Mavroidis, C. (2014). Nano-Robotics in Medical Applications: From Science Fiction to Reality, Northeastern University. Retrieved from http://www.albany.edu/selforganization/presentations/2-mavroidis.pdf.
Provenzale, J.M. & Mohs, A.M. (2010). Nanotechnology in Neurology: Current Status and Future Possibilities. US Neurology, 6(1), 12-17.
Seo, D., Carmena, J.M., Rabaey, J.M., Alon, E., Maharbiz, M.M. (2013). Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces. arXiv, 1307.2196 [q-bio.NC]. Retrieved from http://arxiv.org/abs/1307.2196.
Schulz, M.J., Shanov, V.N., Yun, Y. (Eds.). (2009). Nanomedicine Design of Particles, Sensors, Motors, Implants, Robots, and Devices. New York, NY: Artech House.

Machine Ethics Interfaces

Machine ethics is a term used in different ways. The basic use is in the sense of people attempting to instill some sort of human-centric ethics or morality in the machines we build like robots, self-driving vehicles, and artificial intelligence (Wallach 2010) so that machines do not harm humans either maliciously or unintentionally. This trend may have begun with Asimov’s Three Laws of Robotics. However, there are many different philosophical and other issues with this definition of machine ethics, including the lack of grounds for anthropomorphically assuming that a human ethics would be appropriate for a machine ethics, beyond the context of human-machine interaction.

There is another broader sense of the term machine ethics which means any issue pertaining to machines and ethics, including how a machine ethics could be articulated by observing machine behavior, and (in a Simondonian sense (French philosopher Gilbert Simondon)) how different machine classes might evolve their own ethics as they themselves develop over time.

There is yet a third sense of the term machine ethics - to contemplate human-machine hybrids, specifically how humans augmented with nanocognition machines might trigger the development of new human ethical paradigms, for example an ethics of immanence that is completely unlike traditional ethical paradigms and allows for a greater realization of human capacity.

Machine ethics interfaces then, are interfaces (software modules for communication between users and technologies (machines, devices, software, nanorobots)) with ethical aspects deliberately designed into them. This could mean communication about ethical issues, user selection of ethically-related parameters, ethical issues regarding machine behavior, and ethical dimensions transparently built into the technology (like a kill switch in the case of malfunction). Machine ethics interfaces are the modules within machines that interact with living beings regarding ethical issues, pertaining to the ethics of machine behavior or the ethics of human behavior

Definitions:
Machine Ethics: 1) (conventional) technology designers attempting to incorporate models of human-centric morality into machines like robots, self-driving vehicles, and artificial intelligence to prevent humans from being harmed either maliciously or unintentionally, 2) any issue pertaining to machines and ethics, 3) the possibility of new ethical paradigms arising from human augmentation and human-machine hybrids.

Machine Ethics Interfaces: Interfaces (software modules for communication between users and technologies (machines, devices, software, nanorobots)) with ethical aspects deliberately designed into them. This could mean communication about ethical issues, user selection of ethically-related parameters, and ethical dimensions transparently built into the technology (like a kill switch in the case of malfunction).

Reference: 
Wallach, W. (2010). Moral Machines: Teaching Robots Right from Wrong. Oxford, UK: Oxford University Press.

Correcting Cognitive Bias with Nanocognition, Machine Ethics Interfaces, and an Ethics of Reality

Along with the potential future possibility of changing our perceptual apparatus through nanocognition (nanorobot-aided cognition), comes an increased awareness of the many ways in which we are currently biased due to evolution and sociality.

There is the level of basic biology where nature’s evolutionary requirements filter, order, and hierarchialize the overwhelming amount of input data before it is routed to our cognitive circuits. Likewise, culture and society put a lens on our perception from an individual and group dynamics perspective in the form of attunement to power relations, social conditioning, status-garnering, mate selection, and gender-performing.

With the creation of machine ethics interfaces, we could have the ability to adjust for these built-in biases. It could be possible to choose different kinds of perceptual realities, and this then implies that there should be a philosophical consideration of an Ethics of Reality. An ethics of reality can address questions like: even if we can obtain access to some sort of objective external reality, is it more ethical to see raw reality the way we do now with evolutionary biases or is it more ethical to see a bias-corrected version? One imaginable result is the construction of a transhumanist viewpoint that it is unethical to experience raw reality because it is inhumane, unproductive, or perceptually harmful.

YouTube Video: Machine Ethics Interfaces

Nanocognition Series:

Ethics of Perception and Nanocognition (Nanorobot-aided Cognition)

Killer Apps of Cognitive Nanorobotics

 

What are Cognitive Nanorobots?

Cognitive nanorobots are an extension of the more familiar idea of medical nanorobots.

Medical nanorobots are a range of medical solutions using nanoscale electronics. Medical nanorobots span the continuum from nanoparticles in current pharmaceutical use that disgorge cargo in cellular destinations per simple onboard logic instructions to optically-stimulated channelrhodopsin proteins for real-time live biological intervention to the more elaborate conceptualization of many species of future medical nanorobots such as respirocytes, clottocytes, vasculoids, and microbivores that could perform a variety of biophysical clean-up, maintenance, and augmentation functions in the body.

In the most basic sense, cognitive nanorobots are the analog to medical nanorobots, nanorobots deployed in the specific context of facilitating, aiding, and improving the processes of cognition like perception and memory, a sort of NanoNeuroProsthetics.

Cognition is just another biological function, a process that can possibly be identified, managed, and ameliorated. Robert Freitas in the Nanomedicine text books has already begun to explore the issue of nanorobot biocompatibility with neural cells, and outlined the different levels of concern and response for them: mechanical, physiological, immunological, cytological, and biochemical.

In summary, one initial way to consider and classify cognitive nanorobots is as a special case of medical nanorobots.

More: YouTube Video, Presentation

The Real Question is How to Further Develop Autism-related Skills

On the topic of autism, the two biggest areas of societal focus are first, the growing population of ASD (autism spectrum disorder) individuals (1/88 live births in the US; 66% college graduates on the ASD spectrum are unemployed), and second, providing resources for normalizing ASD individuals into day-to-day life activities such as work, housing, and dating.

However, there is a more forward-looking neurodiversity view of ASD. Two key points:

• ASD is a growing societal trend, and it is unclear what this means to humanity overall
• Part of the ASD disposition is is a unique and profound skillset, and it is a question as to what this means for the possible mental tasks and undertakings of humans

What would it be to focus on the further development of ASD skillsets in individuals as opposed to (or perhaps in opposition to) exclusive ‘normalization’ to neurotypic standards. If ASD individuals can do certain kinds of projects well (e.g.; like focusing intensively a single detailed topic, and finding patterns and exceptions), what can they do really well, and enjoy developing more fully.

One of the first deployments of the ASD skillset is commercial, in software programming where employers are well aware of the benefit of 3% error rates in computer code created by ASD programmers (vs. 18% by neurotypical programmers). Job sites like NonPareil, Semperical, and Specialists Guild are already catering to ASD programming skills. 

A more comprehensive suite of employment-related services for the ASD market was presented at the Autism Hackathon held in San Francisco July 20-21, 2013 by MindFlower. MindFlower is the idea for an eLabor marketplace that proposes to offer two kinds of ASD-skillset related activities: Mechanical Turk-like projects in the vertical markets of big data analysis, life sciences omics, and patent and literature search, and Kaggle-like data science competitions on supercomputer-unsolvable problems. Spectrum skill assessment and development are other features of the site, along with ASD-friendly advertising.

CNET article covering the event is here. 
Image credit: Kimberly Pickard

Ethics of Perception and Nanocognition (Nanorobot-aided Cognition)

It is not too soon to consider what kinds of ethics nanorobotic cognitive aids should have, and what kinds of ethics our QS (quantified self) gadgetry in general should have. Ethics is meant in an Ethics 2.0 sense of enablement, empowerment, and coordination of new ways of living as opposed to an Ethics 1.0 sense of judging and circumscribing behavior.

Cognitive nanorobots, an analog to medical nanorobots, could have applications in cognitive enhancement and perceptual aid such as bias reduction, memory management (access, suppression), and personalized ethics optimization.

In defining an ethics of perception, a number of core philosophical questions arise such as the possibility and desirability of knowing a true and objective reality, and selecting different realities.

Hear more and discuss this topic:
"Ethics of Perception and Nanocognition (Nanorobot-aided Cognition)" Terasem's 9th Annual Workshop on Geoethical Nanotechnology, July 20, 2013, 1PM – 4PM EDT, Terasem Island, Second Life

Human morphology-changing technologies

To date, most technology has been human-created. It can be grouped into two categories, technologies that are not likely to have an immediate direct impact on human morphology, and those that might.

Technologies that would likely not change human morphology
There could be the rapid advent of significantly more dramatic technologies than have been experienced to date. While these new technologies could change some aspects of life, human biological drives could remain unchanged, and therefore the structure and dynamics of human societal organization, interaction, and goal pursuit could also remain unchanged. Some examples of these advances could include the realization of molecular nanotechnology, quantum computing, cold fusion, and immortality. Even with several of these revolutionary technologies implemented, the seemingly different world would not actually be structurally different if humanity is still ordered around the same familiar biologically-driven goals.

Technologies that might change human morphology
The other group of technologies is those which could possibly have a near-term impact on the structure and form of what it means to be human, for example, cognitive augmentation, genomic therapies, and synthetic biology. The area with the greatest possible change is improving human mental capability. There have been several significant advances in a variety of neurology-related fields in the last few years that if ultimately realized, could potentially alter human morphology. Even the resolution of all mental pathologies such as Parkinson’s disease, depression, stroke rehabilitation, and addiction would constitute morphological change at a basic level. Augmenting cognition and deliberately managing biophysical states would constitute morphological change at other levels.

Supercomputers surpass 2.5 petaflops

The biannual list of the world's fastest supercomputers was released on November 13, 2010. For the first time, supercomputing capability surpassed 2.5 petaflops with the world's fastest supercomputer, the Tianhe-1A - NUDT TH MPP, X5670 2.93Ghz 6C, NVIDIA GPU, FT-1000 8C NUDT, at the National Supercomputing Center in Tianjin China, clocking in at over 2.5 petaflops.

Figure 1 illustrates how supercomputing power has been growing in the last five years, starting at (a paltry) 136.8 gigaflops in June 2005, and experiencing four solid doublings in growth. This rate of progress is estimated to continue, and usher in the exaflop era of supercomputing by mid-decade. The IBM Roadrunner at Los Alamos was the first to achieve speeds over one petaflop in June 2008 and held onto the fastest computer seat for three measurement periods, then was surpassed by the Cray Jaguar at Oakridge for two measurement periods. China has now captured the fastest supercomputer ranking with its NUDT MPP.

Figure 1. Growth in Supercomputing Capability: Jun 2005 - Nov 2010

Source: Top 500 Supercomputing Sites List Releases

The world's supercomputers are working on many challenging problems in areas such as physics, energy, and climate modeling. A natural question arises as to how soon human neural simulation may be conducted with supercomputers. It is a challenging problem since neural activity has a different architecture than supercomputing activity. Signal transmission is different in biological systems, with a variety of parameters such as context and continuum determining the quality and quantity of signals. Distributed computing systems might be better geared to processing problems in a fashion similar to that of the brain. The largest current project in distributed computing, Stanford protein Folding@home, reached 5 petaflops in computing capacity in early 2009, just as supercomputers were reaching 1 petaflop. The network continues to focus on modeling protein folding but could eventually be extended to other problem spaces.

Cognitive enhancement through longer Schwann cells

Do faster thinkers have longer Schwann cells? Evolution has optimized human brain signal transmission in the existing machinery. Schwann cells (nerve cells) are punctuated with Nodes of Ranvier, unwrapped spaces that occur regularly on axons between the myelin sheaths that wrap and insulate the axons. The Nodes of Ranvier make signal transmission faster and conserve energy.

While Schwann cells may be the minimal length for the selection processes of evolution, they may not be optimized for modern thought. In many cases, modern thought constitutes more reasoning, imagining, conceptualizing, and contemplation than fight or flight responses. Different brain patterns arise from the different kinds of thought. One path to cognitive enhancement could be lengthening Schwann cells for faster transmission and possibly faster cognition.

Is Remembering Facts Obsolete?

There seem to be a lot of human skills that are now obsolete because technology performs them for us. These include skills like spelling (helped by spellchecker), handwriting (via typing) and fact remembering (can easily search anything on the Internet; possibly this will be an internally embedded device directly accessible to the brain at some future point) to name a few.

On one hand, it is nice to be rid of an ever-increasing tier of lower level skills not requiring high cognition, but on the other hand, does this change our definition of what it is to be human? Do we need to remember how to spell as a backup in case we aren't online typing something? Does the value of the old skills go up as a backlash response? How do we next define humanness and distinguish human capability?

Skills like remembering facts used to be measuring sticks for people to gauge intelligence and capability just like witty storytelling and oration won friends and status before the mass media era of television and radio. We now have the opportunity to evolve new methods and customs for judging and signaling capability, and with a shift in focus on what it is to be smart and capable, maybe we can also shift our collective value system to be less judgmental and focus on the unique values of everyone.

Tools and technology allow us to spend more time in higher tiers of cognition, the specific activities of which are less tangible to describe. Some of the distinguishing capabilities we can strive for are progressing up the chain from data...turning data into information, synthesizing information to generate comprehensive descriptions of existing material and creating new ideas and complex thoughts.