Sleep 2 Earn is an initiative of gamifying life with Heal 2 Earn:
Action facilitates the conversion of incentives into outcomes, but not without a catalyst: Capital.
Of the many distinctions between Web 2 and Web 3, the following is an important one:
Feel free to refer to the figure below for more clarity, or scroll through to the next image.
Adversarial and Parasitic.
Symbiotic.
The reason for this is straightforward: DAOs are governed by Distributed Ledger Technology – specifically, the Proof-of-Work consensus algorithm governing the Ethereum decentralized network. This codification of Trust empowers individuals to exchange value without intermediaries, enabling the emergence of ETH as Money:
Despite outflows of value, this arrangement facilitates positive-sum games and net value creation:
I.e., yield is abundant in Web 3, so there are few incentives for capital to exit. Airdrops, liquidity mining, bonding, borrowing, lending, leveraged liquidations, etc. all redistribute value back to the (crypto/Web3) ecosystem, perpetuating reflexive feed-forward loops:
So what might things look like after the Merge and upgrade to Proof-of-Stake? There are many hypotheses about the “triple halvening,” and various models forecasting the price.
In a bottom-up emergent manner, the brain vertically integrates into regions and network level organization. Neurons are at the base layer.
The basic unit of the nervous system is called a Neuron:
Neurons are nodes within brain networks. Instead of ETH, Neurotransmitters are transacted:
There are no miners securing neuronal transactions. In place of Proof-of-Work, this model resembles Proof-of-Stake:
As these neurons transact and come to consensus at scale (activate together at the same frequencies), electroencephalography (EEG) can be used to peek inside…
…and record neuro-signature waveforms corresponding with the sleep stages.
For more clarity the reader is referred to the Economy of Neurotransmitters, Consensus at Scale, or Entropy.
This mini-detour was taken to illuminate the intricacies promoting and enabling consensus at scale, and to highlight several points:
This is true for the Hierarchy of Life…
…as well as the Hierarchy of Needs, where DAOs also fit in:
When a person’s basic needs are met, that person is more likely to satisfy their own psychological needs. Conversely when psychological needs are met (e.g., joining a social network), they may be more likely to have their basic needs met (e.g., a new friend directs them to resources).
Similarly a person might join a DAO/collect an NFT (e.g., BanklessDAO or Human DAO) and get plugged into DeFi (e.g., $UBI and Proof-of-Humanity) to move towards financial security. Or if you were like me, you might’ve been introduced to DeFi first and then DAOs.
DAOs are poised to capture and redistribute the value that is created when centralized entities collect data from consumers in this way. I.e., DAOs will harvest the MEV extracted from such endeavors.
A relevant tweet.
Centralized entities will harvest data from consumers with the end goal of developing some product or service that will be ultimately sold and marketed to the consumer group from whom it was collected. But this is zero-sum and one party is disproportionately benefits more than the other.
Another example:
This entire process can be internalized by DAOs. DAOs can implement governance mechanisms to facilitate the confirmation of real world events, and collect/generate their own corresponding verifiable data to be monetized via participation in data economies with other DAOs. This becomes inevitable in nearly every industry with widespread integration of Hybrid Smart Contracts.
Essentially, DAOs will build the bridges we need to connect the off-chain and on-chain worlds.
In 2019 when I made such an innovation pitch to the American Psychiatric Association, there was no DeFi or DeSci:
But now, advanced ecosystems with sophisticated data economies are emerging. Each one of these “nodes” above could turn into a DAO of its own (or subDAOs within a DAO)…well, minus the healthcare administrators.
In any case, there is tremendous value in collecting raw EEG data at scale because one or several automated sleep staging/scoring algorithms will have to be developed.
it should at the very least address the following, aimed mainly at designing a “Proof-of-Sleep” consensus algorithm and/or governance mechanism:
When the headband detects rapid-eye movement/REM sleep (the stage when we dream), it has functionality to enable the low dose administration of transcranial alternating current stimulation (tACS) - another form of Neuromodulation. When this happens, the chance of experiencing a lucid dream is significantly increased:
I was actually a part of this study, and I did indeed have lucid dreams!