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

Passive cognizance: outsourcing thinking to computers

Product manufacturing went offshore from the US and Europe to China. Infotech services were outsourced to India. What is next in this flat world? [Even more] thinking could be outsourced to computers. Memory already has been…spelling, navigation, and fact recall, for example. Several forms of thinking have been already been outsourced to computers too, fraud detection and geological data review in oil exploration are the canonical examples. Passive cognizance could be the futurepath of humans; even more on autopilot than at present, behavior facilitated by personal digital assistants like SIRI based on continuous incoming lifecam and biomonitor data and utility function reassessment.

Evolutionary adaptations and artificial intelligence

Art and religion are human evolutionary adaptations. Are there similar evolutionary adaptations that human-level and beyond artificial intelligence would be likely to make? Another way to ask this is whether art and religion were predictable? It seems that they were, maybe not the detailed outcomes, but that mechanisms would arise to allow for the achievement of human objectives such as status-garnering and mate selection.

Likewise, it seems quite possible that human-level and beyond artificial intelligence would be likely to make evolutionary adaptations. Utility functions could be edited in many ways. The primary area could be performance optimization, continuously improving cognition and other operations. A second area could be related to societal objectives to the extent that artificial intelligence is present in communities. Artificial intelligence might not have art and religion, but could have related mechanisms for achieving external and internal purposes.

Automatic Markets

At Singularity University, one of the most pervasive memes was the “routing packets” metaphor; that many current activities are just like routing packets on the Internet. This includes areas such as people in driverless cars, electrons in electric vehicle charging and power entry, load-balancing, routing and delivery on smartgrid electricity networks.

Fungible resources and quantized packet-routing
The packet-routing concept could be extended to neurons (routed in humans or AIs), clean water, clean air, food, disease management, health care system access and navigation, and in the farther future, information (neurally-summoned) and emotional support (automatically-summoned per human dopamine levels from nearby people or robots). It is all routing…directing quantized fungible resources to where they are needed and requested.

Automatic Markets
Since these various resources are not uniformly demanded, the idea of markets as a resource allocation mechanism is immediately obvious.

Further that automated, or automatic markets with pre-specified user preferences, analogous to limit orders, could be optimum. Markets could meet in equilibrium and transact, buying, selling, and adjusting automatically per evolving conditions and pre-programmed user profiles, permissions, and bidding functions.

Truly smart grids would have automatic bidding functions (as a precursor to more intelligence-like utility functions) that would indicate preferences and bid and equalize resource allocation, the truly invisible digital hand.

The key parameters of a working market, liquidity, price discovery and ease of exchange would seem to be present in these cases with large numbers of participants and market monitoring and bidding via web or SMS interfaces. The next layer, secondary markets and futures and options could also evolve as an improvement to market efficiency, if designed with appropriate incentives.

Automatic markets are not without flaw, they exist now in traditional financial markets, causing occasional but volatile disruptions in the form of quantitative program-trading (blamed for exacerbating the 1987 Black Monday stock market crash) and flash-trading. Speculative aspects are not trivial and would be a critical area for market designers to watch, particularly managing for high liquidity and equal access (e.g.; faster Internet connections do not matter).

Markets to grow as a digitized resource allocation tool
At present, markets are not pervasive in life. The most notable examples are traditional financial markets, eBay, peer-to-peer finance websites and prediction markets. Being in a global digital era with the ability to use resources in a more fungible and transferable way could further promulgate the use of markets as a resource allocation tool.

A focus on preference rather than monetary value, and other currencies such as attention, authority, trust, etc. could vastly extend the range of implementation of market principles.

Ultimate possibilities for life and technology

Thinking really long term, what would it be like if all matter, including life, could be designed and built to specification with nanotechnology and synthetic biology? Form factor could become ephemeral and purpose-driven. An intelligence could embody as a human, as a fleet of starships, as a crane, as a school of nanoparticles, or remain digital.

Some interesting issues could come up, say from having multiple persistent copies of one intelligence. What would the social, legal, economic etiquette and governing laws be? Or would these words even make sense anymore? The notion of the distinct individual may become obsolete.

Transhumanism will be an interesting and certainly divisive step, when groups or all humans have radically enhanced capabilities as compared with today. Posthumanism, the moment of speciation, may be quite a shock.

What about utility functions? In a digital format, traditional biological functions make a lot less sense. And what about emotion? Is there a relevant adaptation for the digital substrate or is emotion just another biology-based information system?

What is intelligence and is it reflected differently in a digital medium without the sensory input context of the physical world? Maybe intelligence is nothing more than manipulating patterns of information.

Finally, what are the ultimate possibilities for life and technology once joined? What if any would the activity be? Would the focus be on aesthetics? Analytics?