The document discusses the transformative impact of blockchain and web3 technologies on society, emphasizing decentralization and cryptoeconomic systems which reshape digital interactions and infrastructures. It outlines a research agenda aimed at harnessing these technologies for sustainable futures while detailing various applications and models like decentralized physical infrastructure and digital twins. The document also explores user participation, community values, and the evolution of internet protocols alongside the growth of online connectivity.

1. Denver CO, 10 Aug 2024
Slides: http://slideshare.net/LaBlogga
Melanie Swan, PhD, MBA
DIYgenomics.org (Research Lead)
University College London (Research Associate)
“This is very fundamental: it is computing, and the power
of computing melding with memetic systems, human
systems, and organizational structures
– you can rebase all of civilization on this”
– Juan Benet, Protocol Labs, 2022, Achieving Paretotopia
with Regenerative Cryptoecon, Schelling Point Amsterdam
Web3 Blockchains
The Math, Science, and Aesthetics of Prosperity
Empowering Users with Beyond-Monopoly Choices

2. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Own Web
2
Source: https://twitter.com/coingecko/status/1487380562171990019
1990s 2000s 2020s
1980s
I can read it
I can like it and
mash it up
Q: What can I do
with this material?
I can choose support, join, create
projects towards outcomes for
acknowledgment and reward
Q: Do I want to participate in this
community? (higher-order
question re: values (aesthetics))
User Expectations
(Verify
)

3. 10 Aug 2024
Web3 Subjectivation
Thesis
3
1. Blockchain technology has changed the way we perceive and interact with
digital systems. Decentralization is a proven network architecture for internet
service. Web3 emphasizes decentralization (internet) + crypto (blockchains) in
the next phases of global infrastructure build-out, physical and digital
2. Cryptoeconomics (mechanism design using incentives and cryptography)
enables the creation of high-resolution, targeted, aligned systems. Digitized
industries become information sciences measured by entropy and energy
3. Crypto Field Theory provides a classical-quantum physics framework for
particle-many crypto-systems analysis & generalizes to smart network FT
4. Crypto Aesthetics is enacting preferences in line with our value systems

4. 10 Aug 2024
Web3 Subjectivation 4
Research Agenda
2015 2019 2020
Blockchain Blockchain
Economics
Quantum
Computing
Quantum Computing
for the Brain
2022
Aim: Build long-term futures for humanity through smart
network technologies and science frontiers
Math Agents
2023
Health Agents
2024
“The App will see you now~!”
Blockchain 1.0: Currency
Blockchain 2.0: Contracts
Blockchain 3.0: Beyond
Smart Network
Field Theory

5. 10 Aug 2024
Web3 Subjectivation
Blockchain: an information technology for large-scale progress
Blockchain 1.0, 2.0, 3.0
5
2015
Source: Swan, M. (2015). Blockchain: Blueprint for a New Economy. Sebastopol CA: O’Reilly Media.
 BC 1.0: Currency (immediate transfer)
 BC 2.0: Contracts (future) 2/3 economy
 Financial services, crowdfunding (DeFi)
 DAO, DAC, DAS smart contract entities
 Identity & Digital Art: attestation, digital assets
 BC Government: democracy, services, elections
 BC 3.0: Non-financial uses
 BC Science: GridCoin, FoldingCoin
 BC Genomics: large-scale private data transfer
 BC Health: EMRs, JournalCoin: x-citationomics
 Advanced concepts
 Tokenizing, CommunityCoin, CoinDrop, demurrage
Blockchain 1.0: Currency
Blockchain 2.0: Contracts
Blockchain 3.0: Beyond
“Blockchain technology’s
many concepts and
features might be broadly
extensible … to enable
orders-of-magnitude
larger-scale human
progress.” (p. 91)

6. 10 Aug 2024
Web3 Subjectivation 6
GenAI
Internet
Quantum
Accelerating Futures
Blockchain

7. 10 Aug 2024
Web3 Subjectivation 7
Blockchain
genAI DL NNs
Quantum
Pure Capital
Pure Intelligence
Pure Compute
Smart Network: advanced network technology
that is performative, atomic (tokens, quanta),
and modular, with its own space and time
regimes and energy-entropy metrics
Social Interaction
Analysis &
Coordination
Processing
Early Network Stack
Smart Network Stack

8. 10 Aug 2024
Web3 Subjectivation
Quantum Transition
Plugs into Stack as a Compute Resource
8
Source: https://developer.nvidia.com/cuda-q
 CPU -> GPU -> TPU -> QPU
 GPU (graphics processing unit)
 3D graphics card: matrix multiplication
 TPU (tensor processing unit)
 Flow through matrix multiplications: no storing interim values in memory
 QPU (quantum processing unit)
 Quadratic & Polynomial speed-up with superposition, entanglement,
interference
Example: NVIDIA CUDA-Quantum
(Compute Unified Device Architecture):
parallel computing platform and
application programming interface
CUDA-
Quantum

9. 10 Aug 2024
Web3 Subjectivation
Digital Network Society
 2/3 of world’s 8.1 bn people online
 5.44 bn Apr 2024 (67%)
 Deloitte
 Devices outnumber humans
 US household average: 21 devices
 Only 50%: benefits of online services outweigh costs
 Monopoly control, privacy protection, data security, monetization
9
Source: https://www.statista.com/statistics/617136/digital-population-worldwide/, Deloitte 2023 Connected Consumer Study,
https://www2.deloitte.com/us/en/insights/industry/telecommunications/connectivity-mobile-trends-survey.html#print-the-report
2006

10. 10 Aug 2024
Web3 Subjectivation
Network Architecture Models
 Scale and resilience
10
Source: https://www.theguardian.com/technology/article/2024/jul/31/delta-cost-revenue-crowdstrike-outage
Single point of failure No single point of authority
controls the nodes
Connected graph
lattice fabric

11. 10 Aug 2024
Web3 Subjectivation
Single Point of Failure
11
Source: https://www.theguardian.com/technology/article/2024/jul/31/delta-cost-revenue-crowdstrike-outage
19 July 2024

12. 10 Aug 2024
Web3 Subjectivation
DePIN
12
 Clear need for additional Decentralized Physical Infrastructure
(DePIN)
Digital Twins
Decentralized Physical Infrastructure Networks (DePIN):
application of blockchain technology and decentralization
principles to physical infrastructure and systems including
internet networks, cloud computing, and data storage;
blockchain-based governance model runs the node network
22.6 exbibytes of decentralized
cloud storage 4 Aug 2024
Source: https://innovatewest.tech/wp-content/uploads/2024/04/Web3-Charting-the-Internets-Next-Economic-and-Cultural-Frontier.pdf
https://dashboard.starboard.ventures/capacity-services

13. 10 Aug 2024
Web3 Subjectivation
Digital Twins
13
Digital Twin: virtual representation of physical system or entity
Bioavatar: digital representation of physical self, including real-
time biometric data update for longevity precision medicine
Source: https://esrisingapore.com.sg/digital-twins, https://infra.global/singapores-digital-twin-from-science-fiction-to-hi-tech-reality/,
https://www.forbes.com/sites/forbestechcouncil/2023/08/18/bio-digital-twin-getting-the-heart-right/, Amofa et al. (2024). Blockchain-secure patient Digital Twin in healthcare using smart contracts. PLoS One. 19(2): e0286120.
 Singapore: first nation with a digital twin (2023)
 Health and longevity: digital twins of
 healthcare facilities, patients, bodies & organs, drugs

14. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
14

15. 10 Aug 2024
Web3 Subjectivation
internet transfer protocols.
15
information.
email.
voice.
video.
money.
neural files.
High Sensitivity
Low Sensitivity
Medium Sensitivity
Each traffic type has its own instructions or protocol (webpages with http; email with smtp; voice with
voip; blockchain for digital asset transfer); file header indicates traffic type, software version, routing, etc.
Digital Network Society transfer of different kinds
of online content each with a specific protocol
Challenge: secure transfer of increasingly
valuable and unique files (quantum internet
implicated)
BioAvatar mind files:
brain-machine
interface (BMI),
whole-brain
emulation (WBE),
connectome, clinical-
grade wearables

16. 10 Aug 2024
Web3 Subjectivation
Definitions
16
Source: https://www.coindesk.com/markets/2017/08/19/making-sense-of-cryptoeconomics/
HODLING: Buy-and-Hold crypto investment strategy
HODL vs HOLD: decentralized inversion of centralized models
BUIDLING: #BUIDL movement creating crypto ecosystem
software, infrastructure, applications, and community
Blockchain: a digital database (ledger & event history)
distributed among the nodes of a peer-to-peer network;
database for resource allocation (cryptocurrency: 1 app)
Web3: community of actors creating a new decentralized internet;
expectation of targeted participation in values-aligned (aesthetic) efforts;
a blockchain-based governance model runs the node
network
Cryptoeconomics: mechanism design based on incentives and cryptography;
not a subfield of economics, but an area of applied cryptography using game
theory and economic incentives
Token: digital container holding value (money, code, lab results, art, patent)
Utility token, Impact coin: token targeted to kinds of projects
Tokenization: process of issuing a digital, unique, anonymous representation
of an asset; fungible or non-fungible (e.g. NFT)

17. 10 Aug 2024
Web3 Subjectivation
Bitcoin – the first Blockchain
 Time-stamping and possible motivation
 3 Jan 2009 – Bitcoin Genesis Block
 Original block with 50 bitcoins released from Satoshi Nakamoto (anonymous developer/group) with a message:
 Key innovations for internet-based digital cash system
1. Solve double-spend problem with internet time-stamping
2. Solve securing the chain with cryptoeconomic incentives
 Proof-of-work for confirming transactions (mining = accountancy)
17
Source: https://www.investopedia.com/news/what-genesis-block-bitcoin-terms/, https://www.thetimes.com/article/chancellor-alistair-darling-on-brink-of-
second-bailout-for-banks-n9l382mn62h
Bitcoin White Paper
https://bitcoin.org/bitcoin.pdf

18. 10 Aug 2024
Web3 Subjectivation
Bitcoin: $7 mn sent – 8 Aug 2024 (mid-day)
 850,000 total
transaction blocks
18
Source: https://www.blockchain.com/explorer; https://www.investopedia.com/tech/how-much-worlds-money-bitcoin/
Teenager
15 ½ yrs old

19. 10 Aug 2024
Web3 Subjectivation
Bitcoin Hash Rate
19
Source: https://www.blockchain.com/explorer/charts/hash-rate
1 GH/s (one giga hash) is 1,000,000,000 (one billion) hashes per second
1 TH/s (one tera hash) is 1,000,000,000,000 (one trillion) hashes per second
1 PH/s (one peta hash) is 1,000,000,000,000,000 (one quadrillion) hashes per second
1 EH/s (one exa hash) is 1,000,000,000,000,000,000 (one quintillion) hashes per second
Hashes (integer operations) not directly comparable to floating point operations (FLOPs)
 Measure of computational power and security in a
proof-of-work cryptocurrency (available compute)

20. 10 Aug 2024
Web3 Subjectivation
How does Bitcoin (any crypto transaction) work?
Use Wallet app to submit transaction
20
Scan recipient address and submit transaction
Address: 32-character alphanumeric string
Coin appears in recipient wallet
(receive immediately, confirm later)
Coinbase:
consumer wallet
with key recovery
A unique PKI signature for each
transaction
PKI: public-private key pair (cryptography standard )
Source: https://www.youtube.com/watch?v=t5JGQXCTe3c
Wallet has keys not money
Creates PKI signature address pairs

21. 10 Aug 2024
Web3 Subjectivation
Bitcoin Denominations
21
 Satoshis: common unit of transfer (wallet default)
 500 satoshis = USD $0.25 (at Btc = $50,000)
 $5 coffee = 10,000 satoshis
 1 satoshi = USD $0.0005 (at Btc = $50,000)
Source: Bitcoin Foundation, https:// bitcoin.org/
Unit Abbreviation Description BTC
1 Satoshi SAT Satoshi 0.00000001 BTC
2 Microbit uBTC Microbit or bit 0.000001 BTC
3 Millibit mBTC Millibitcoin 0.001 BTC
4 Centibit cBTC Centibitcoin 0.01 BTC
5 Decibit dBTC Decibitcoin 0.1 BTC
6 Bitcoin BTC Bitcoin 1 BTC
7 Decabit daBTC Decabitcoin 10 BTC
8 Hectobit hBTC Hectobitcoin 100 BTC
9 Kilobit kBTC Kilobitcoin 1000 BTC
10 Megabit MBTC Metabitcoin 1,000,000 BTC
100 millionth of a BTC
1 millionth of a BTC

22. 10 Aug 2024
Web3 Subjectivation
What happens in the background?
P2P network confirms & records transaction
22
Source: https://www.youtube.com/watch?v=t5JGQXCTe3c
Transaction computationally confirmed
and ledger account balances updated
Transactions submitted to a pool and miners assemble
new batch (block) of transactions each ~10 min (btc)
Each block: transactions and a cryptographic hash of
the last block, chaining the blocks, hence “blockchain”
Wallet 1
Wallet 2
Peer network maintains the blockchain:
ledger nodes and mining nodes
Citizen Infrastructure
Github

23. 10 Aug 2024
Web3 Subjectivation
Mining Energy Use
23
Source: https://ccaf.io/cbnsi/cbeci; https://www.eia.gov/todayinenergy/detail.php
 Global: Bitcoin: 141-160 terawatt-hours (TWhs) electricity
annually, 0.6-0.7% global electricity consumption in 2022
 less than 0.10% of global CO2e
 US: 0.6%-2.3% annual electricity consumption

24. 10 Aug 2024
Web3 Subjectivation
Consensus Algorithms
 Proof of Work (Bitcoin)
 Miners (software units) compete to solve cryptographic puzzle
 Resource intensive, specialized hardware favors large players
 Proof of Stake – “green mining” “staking” (Filecoin, etc.)
 Validators post a stake, block confirmation randomly assigned to groups of validators who make a small amount or lose their stake
 Proof of Storage
 Proofs conducted hourly and batched into hash-structure for one daily record posted to chain (crypto time-stamping)
 Proof of Activity
 Carbon sequestering (third-party oracle confirms activity)
 LabDAO CRO lab results auto-posted to IPFS w Bacalao
24

25. 10 Aug 2024
Web3 Subjectivation
Consensus Algorithms
 Clever uses of cryptoeconomics (mechanism design)
 Cryptographic primitives confirm behavior algorithmically
 Happy hour: “Proof of Drink”
25
Source: https://crypto.com/university/consensus-mechanisms-explained

26. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
26

27. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Verify Web
27
Source: SAP: he Evolution of the Web - from Web 1.0 to Web 3.0. https://pages.community.sap.com/topics/digital-innovation/web3
Web3 addresses the problems which came with web2: breach
of security & privacy, censorship & surveillance, misinformation
& data loss, advertising as the default business model,
personal data monopolies
Web3: internet built with blockchain
technology and controlled by users;
allowing targeted participation in
values-aligned efforts

28. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Own Web
28
Source: https://twitter.com/coingecko/status/1487380562171990019
1990s 2000s 2020s
1980s
I can read it
I can like it
and mash
it up
I can support,
participate in, and
create projects in line
with my values; users
have more choice
beyond monopolies
User Expectations
Corporate wake-up call:
“tokenized metaverse
experiences” may be missing
the mark; values = aesthetics

29. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Own Web
29
Source: https://twitter.com/FrRonconi/status/1498301677581045760
1990s 2000s 2020s
2024
2018
2020
2023
 Read-Write-Verify/Own/Participate
 The secure transaction layer the web never had

30. 10 Aug 2024
Web3 Subjectivation
Self-sovereign Identity
 Cryptoeconomic primitives: zero-knowledge proofs,
double-spend technology to verify identity
 Not just unitary instance of token, unitary instance of self
30
Source: https://pages.community.sap.com/topics/digital-innovation/web3

31. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
31

32. 10 Aug 2024
Web3 Subjectivation
Protocol Labs Projects
 Filecoin: decentralized data storage protocol, market, & token
 IPFS (InterPlanetary File System): protocol for file sharing in a distributed file system, content-addressed identifiers
(CIDs)
 Libp2p (library peer-to-peer): networking framework for P2P apps
32
Source: https://protocol.ai/

33. 10 Aug 2024
Web3 Subjectivation
Cryptoeconomics: Real-time Econ Data
33
Source: https://dashboard.starboard.ventures/capacity-services, https://dashboard.starboard.ventures/dashboard
Exbibyte: 2^60 bytes. Exbibyte: 1024^6 bytes. Exabyte: 1000^6 bytes. Exbibytes larger & preferrable as a computational primitive.
22.6 exbibytes of storage capacity (4 Aug 2024); at-
scale crowdsourced storage network competing with
centralized cloud; one year of capacity accumulation
Cryptoeconomics Implication: economics shifts from social
science to physical science and information science
Scientific
Method

34. 10 Aug 2024
Web3 Subjectivation
Data
34
Source: https://whatsthebigdata.com/data-generated-every-day/
https://www.techtarget.com/searchstorage/definition/Kilo-mega-giga-tera-peta-and-all-that
Data Storage
Measurements
Real-world Data
Storage Capacity
 328.8 million terabytes
of data created per day
 181 zettabytes total data
generation in 2025e
 53.7% internet data
traffic is video
Year
Day
Filecoin: 22.6 exbibytes exabytes of
storage capacity (4 Aug 2024).
Decentralized cloud service storage

35. 10 Aug 2024
Web3 Subjectivation
DeFin (Decentralized Finance)
Public Goods Funding
35
Quadratic Funding: crowd-funding mechanism that amplifies
available resources by inviting community members to make
donations (big or small) that act as votes on where to allocate
funds. The broader the support, the bigger the match.
Source: https://scholar.harvard.edu/files/hitzig/files/buterin_hitzig_weyl_draft.pdf
 Wide-base
participation
rewarded
 Voting rights are
inversely
proportional to stake
so large investors do
not dominate
decision-making

36. 10 Aug 2024
Web3 Subjectivation
DeFin (Decentralized Finance)
Retro Public Goods Funding (RetroPGF)
36
Source: Benet, J. (2024). IPFS Vision & Supporting Growth - IPFS Camp 2024. Brussels. https://2024.ipfs.camp/
https://www.youtube.com/watch?v=HtSMi_t_o3w. Optimism https://round3.optimism.io/projects
PGF: Public Goods Funding
Non-excludable, non-rivalrous goods
Municipal Data Utilities

37. 10 Aug 2024
Web3 Subjectivation
DeFin (Decentralized Finance)
Filecoin RetroPGF
37
Source: Benet, J. (2024). IPFS Vision & Supporting Growth - IPFS Camp 2024. Brussels. https://2024.ipfs.camp/
https://www.youtube.com/watch?v=HtSMi_t_o3w

38. 10 Aug 2024
Web3 Subjectivation
DRIPS
Public Goods Funding
38
DRIPS: Cryptoeconomic public goods funding
mechanism to fund critical software dependencies;
“drip” funding up and down code dependency tree
Source: https://www.drips.network/app

39. 10 Aug 2024
Web3 Subjectivation
Cryptoeconomic Funding
 Rethink the assumption that
debt is required to fund
large projects
 Need for major capex budgets and indebtedness dissolved with high-resolution crypto primitives
 Cryptoeconomics brings aligned real-time metrics to the capital financing of large-scale projects, challenging the
traditional requirements of capital-based financing
39
2011
Participative
Flourishing
NEXT 5,000 YEARS
Capex: Capital Expenditure. Source: Swan, M. (2019). Blockchain Economic Theory: Digital Asset Contracting reduces Debt and Risk. In Swan, M., Potts, J., Takagi, S., Witte,
F., Tasca, P., Eds. Blockchain Economics: Implications of Distributed Ledgers - Markets, Communications Networks, and Algorithmic Reality. London: World Scientific. Pp. 3-23.

40. 10 Aug 2024
Web3 Subjectivation
Environmental Markets
 Carbon transition to be more like oil with
 One single global price (currently illiquid & underpriced)
 Global market (overcoming heterogeneous regional markets)
40
Source: https://www.goldstandard.org/carbon-market-regulations-tracker
2019 2019

41. 10 Aug 2024
Web3 Subjectivation
Environmental Markets
41
Source: Azlen et al. (2022). The Carbon Market Risk Premium. https://www.pm-research.com/content/iijaltinv/early/2022/06/11/jai.2022.1.166.full.pdf,
https://www.carbon-cap.com/, https://www.isda.org/a/soigE/Role-of-Derivatives-in-Carbon-Markets.pdf
 UN goal: net zero carbon emissions by 2050
 Compliance carbon markets: $4 bn/day
 Regulated, liquid ($4 bn/day), large ($1 tn 2022), transparent, capped supply
of permits ratchets lower each year
 Voluntary carbon markets: $1 bn/year
 Unregulated, illiquid, small ($1 bn in 2022), opaque, unlimited supply of
credits, high percent of schemes found to be ineffective
Cap and Trade: emission reduction system
that imposes shrinking annual upper limits;
emitters can buy capacity from others
(used in successful reduction of acid rain)
Carbon is underpriced in
illiquid regional markets

42. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Verify web
Carbon Cryptoeconomics
 Carbon as an asset: global price and market
 Tokenized carbon credits (carbon NFTs)
 Verifiable: prevent carbon offset double-counting
 Moss, KlimaDAO, Toucan (BioChar), SavePlanetEarth
 Blockchain-based carbon exchanges
 Trade carbon NFTs and tokenized offsets
 Regulated market: AirCarbonExchange (Abu Dhabi)
 Base, CarbonTokenProject, KumoDAO, BatchNFT
42
Source: https://carboncredits.com/carbon-crypto-guide-2023-klimadao-carbon-nfts-and-carbon-tokens/ https://4c.cst.cam.ac.uk/about/marketplace
Carbon offsets: tradable certificates linked
to activities that lower carbon dioxide (CO2)
in the atmosphere (1 ton per certificate).
Buying certificates funds climate change
projects instead of lowering own emissions

43. 10 Aug 2024
Web3 Subjectivation
DeFi (Decentralized Finance) and
Digital Asset Transformation
 2024 Digital Assets Survey (State Street
Bank)
1. Widespread use of digital assets could be
nearer than expected
2. Increased adoption may drive development
of more permissioned networks
3. Blockchain will spur holistic technology and
automation efforts
43
Source: https://www.statestreet.com/us/en/asset-owner/insights/digital-digest-june-2024

44. 10 Aug 2024
Web3 Subjectivation
JPMorgan Chase
Global Technology Applied Research
44
 Post-quantum cryptography and quantum algorithms
 Quantum key distribution, portfolio optimization, risk analysis and derivative pricing, and
machine learning
Source: https://arxiv.org/search/quant-ph?searchtype=author&query=Pistoia,+Marco
Is it a bank?

45. 10 Aug 2024
Web3 Subjectivation
Moore’s Law
45
Source: Kurzweil, https://www.youtube.com/watch?v=xh2v5oC5Lx4
 # transistors on a chip doubles
every 2 years 2005
When Humans
Transcend Biology
2024
When we
merge with AI
??
The
Singularity
[is Here]

46. 10 Aug 2024
Web3 Subjectivation
Doublings: Moore’s Law: 24, Proteins: 158
 Nature: high rate of doubling compared to technology
 Moore’s law: number of transistors on a single chip doubles every two years at
minimal costs (24 total doublings)
 June 2023: 134 billion transistors (Apple ARM-based dual-die M2 Ultra SoC fabricated
using TSMC’s 5 nm process)
46
24
Source: CU 3-09-22 Physics Colloquium - Sadasivan Shankar, SLAC Stanford/Harvard.

47. 10 Aug 2024
Web3 Subjectivation
Biology: Complex, Unknown Ruleset
47
Pathway
Genome
Protein
Natural
Language
LLMs: LLaMa
65 billion parameters
Protein Language Models:
xTrimoPGLM:
100 billion parameters
Genome Language
Models
Parameter: learnable weights between graph nodes (entities)
Source: https://www.biomap.com/sota/
DeepSeekMath
7 billion parameters
Mathematical
Reasoning Agents

48. 10 Aug 2024
Web3 Subjectivation
Scientific Understanding
48
2018
 Lack of
proportional
increase in our
scientific
understanding
 Investing more to
sustain a decline
the rate of
scientific progress
“Science is the only news”
– Stewart Brand
Source: https://www.theatlantic.com/science/archive/2018/11/diminishing-returns-science/575665/

49. 10 Aug 2024
Web3 Subjectivation
Science: “Citationomics” -> “Resultsinomics”
49
Source: https://www.cwts.nl/blog?article=n-r2r294

50. 10 Aug 2024
Web3 Subjectivation
DeSci (Decentralized Science)
Reinventing Science
 Access non-traditionally fundable “intellectual dark
matter” – scientist 20% time
 FROs, IROs: focused independent research organizations
 “Private ARPAs” fill gaps in creating general
scientific infrastructure, projects
 Too research-intensive for startups
 Too engineering-heavy for academia
 Too risky for government funders
50
Source: Adam Marblestone and Anastasia Gammick; Ben Reinhardt; https://www.researchhub.foundation/scicon, https://metascience.info/
Metascience: improve the
process of science with
scientific methodology
2011

51. 10 Aug 2024
Web3 Subjectivation
Digital Biology at Scale
DeSci (Decentralized Science)
 Open Science: data access, replicability, discovery
 Scale of contemporary science requires
a secure operating system for
networked scientific organizations
51
 VitaDAO: longevity platform
 Research funding, IP execution
 LabDAO: community-governed
platform with democratized access to
scientific tools and data
 Results: drug discovery
 A dual MTOR/NAD+ acting gerotherapy (Jan
2023)
Source: https://www.biorxiv.org/content/10.1101/2023.01.16.523975v1

52. 10 Aug 2024
Web3 Subjectivation
NFTs and IP-NFTs
 NFT is a digital asset corresponding to the holding,
pointing to, or controlling any cargo
 Digital artwork, basketball video clip, asset ownership, computer
code, lab results, licensing agreement
 Crypto primitive that calls ownership and use rights
52
NFT (non-fungible token):
unique digital asset
 DeSci: IP-NFTs
 Intellectual Property
 University technology transfer licensing
agreement
 LabDAO workflow: lab results
automatically posted to IPFS with Bacalao
(Docker container cloud processing)

53. 10 Aug 2024
Web3 Subjectivation
LabDAO
 Science marketplaces:
lab services exchange
 IP-NFT: auto-tokenization
as return-receipt of data
transaction, lab results
 Crypto primitives enact
scientific method
 Trustable, verifiable,
replicable lab execution
 Conduct of open science
 Funding, execution,
distribution mechanisms
 Subject-matter stewards
53
Source: https://hackmd.io/@niklastr/HkcT3vVx5#Interviews-and-Presentations
LabDAO: a p2p exchange for data-generating labs
Mission: provide physical lab facilities to online communities

54. 10 Aug 2024
Web3 Subjectivation
Polkadot Blockchain Ecosystem
54
Source: https://polkadot.network/ https://parachains.info/
Relay Chain (core cryptosecurity infrastructure) + connected projects in the
ecosystem (parachains)
DOT utility token:
1)Purchase block space
2)Secure the network with staking
3)Participate in governance
(~sufficiently decentralized for US regulators to deem “utility token”)
8 Aug 2024

55. 10 Aug 2024
Web3 Subjectivation
Web3: Decentralized Social Networks
 Terry Tao: Mathstodon math community
55
Source: https://mathstodon.xyz/@tao/112557248794707738

56. 10 Aug 2024
Web3 Subjectivation
Decentralized AI
 AI is highly centralized
 BigTech monopolies, data centers
 Decentralized video
 Video sharing: LensTUBE
 Video synthesis: LivePeer
 LivePeer: SETI@home for AI video gen
56
Source: LivePeer https://www.youtube.com/watch?v=gKv7sO8NRnc

57. 10 Aug 2024
Web3 Subjectivation
Smart Network Stack Convergence
57
Source: https://www.eatmy.news/2022/03/what-is-web-30-how-is-web3-different.html
1990s 2000s 2020s
Web3 + AI
 Sheer magnitude of websites requires AI

58. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
58

59. 10 Aug 2024
Web3 Subjectivation 59
Blockchain
Smart Network Convergence
Quantum
genAI DL NNs

60. 10 Aug 2024
Web3 Subjectivation
Digital Network Society
 Particle-many systems
 Millions->billions observer-actors & entities
 Industries as information technologies
 Measure big data with entropy, energy; operate with AI
Quantum Supercomputers (JPL DSN space scheduling)
 Ridesharing
 Uber 2023: 149 mn customers, 7.1 mn drivers
 ~20 customers/driver
 Lodging
 Airbnb 2023: 5 mn hosts, 448 mn nights
 ~90 nights/host, ~=25% utilization
 Tesla: 4.97 mn vehicles sold worldwide
60
Source: https://backlinko.com/tesla-stats
3D Physics
Metrics -> Information Science
James Webb
Space Telescope

61. 10 Aug 2024
Web3 Subjectivation
How to Theorize and Manage this Complexity?
61
Source: https://nightingaledvs.com/how-to-visualize-a-graph-with-a-million-nodes/
Scientific Method

62. 10 Aug 2024
Web3 Subjectivation 62
text
Cryptoeconomics Crypto Field Theory
Crypto
Riemannian Surfaces and Manifolds
Cryptoeconomics
(mechanism design)
+ big data domain:
physical information
science subject to
traditional hypothesis
Blockchains as method
for resource allocation;
digital database (ledger &
event history) distributed
among the nodes of a
peer-to-peer network
Field-theoretic approach to
crypto-analysis as
mathematically well-formed
description of particle-many
agent activity patterns in
levels of macro aggregation

63. 10 Aug 2024
Web3 Subjectivation 63
Blockchain
genAI DL NNs
Quantum
Smart Network Technology Properties
1. Performative (must operate for results)
 Increasing levels of autonomy
2. Dynamic (changing over time)
 Concurrent (harmonize distributed events)
3. Atomic (tokens, quanta) and modular
 Particle-many observer-actor-builders
 Synecdochical (arbitrary levels of roll-up)
4. Own space-time energy-entropy regimes
 Block space, block time, hyperbolic space,
Floquet periodic time, quaternionic numbers
5. Classical-quantum scale portability
Source: Swan et al. (2020). Quantum Computing: Physics, Blockchains, and Deep Learning Smart Networks.

64. 10 Aug 2024
Web3 Subjectivation
Field Theories
64
Classical Field Theory
Quantum Field Theory
A theory of fundamental particle
interaction based on quantized
(discrete) fields and forces
Renormalization, gauge theories;
Klein-Gordon & Dirac equations,
Lagrangian density, action
Examples: QED, QCD
tiers of allowable movement
 Morphology -> Dynamics
 Shift from characterization to dynamism of
relationships between elements of graph-based
systems
 Field theory
 Mathematical framework describing the behavior
of particles on the basis of forces and fields
 Amenable to graph-theoretic
implementation
 Use higher-order well-formedness structures
from mathematics to define, manage, analyze
system behavior
Smart Network Field Theory
Field-theoretic approach
incorporating classical-quantum
aspects (discrete and continuous)
with an Integral Systems
interpretation of dynamism
(coefficients are eigenvalues:
narrower well-formedness defining
system behavior)
A theory of how fields interact
with matter modeling
electromagnetism and gravitation
as continuous forces.
Examples: Maxwell’s equations,
Newtonian gravitation
Scientific
Method
Source: Swan & dos-Santos, 2018, Smart Network Field Theory. arXiv:1810.09514. Swan, dos Santos & Witte, 2020, Quantum Computing: Physics, Blockchains,
and Deep Learning Smart Networks. World Scientific. https://doi.org/10.1142/q0243. pp. 267-298.

65. 10 Aug 2024
Web3 Subjectivation
The Formalization Turn
65
Math Agents
Blockchain
genAI DL NNs
Quantum
Category Theory
Algebraic Structures
Proof Assistants, Computer
Algebra Systems, RL Agent
Solvers
Combinatorics
Logic
Geometry
Pure Math Physics
Formal Methods
Advances: cryptographic hash
functions, elliptic curve
cryptography, Merkle trees,
consensus algorithms (proof
of work, proof of stake),
directed acyclic graph routing
Implementing all existing math-physics in the
computational infrastructure enabling new virtuous
cycles of math-physics innovation and discovery in
smart network disciplines returning to math-physics
Advances: LLMs,
transformers, graph NNs,
backpropagation, stochastic
gradient descent, activation
functions, convolutional
pooling, generative
adversarial networks
Advances: Shor’s algorithm,
quantum error correction,
entanglement generation,
quantum Fourier transform,
quantum teleportation,
quantum key distribution
Relativistic fluids,
post-Newtonian
modifications,
gravitational waves,
superclusters, cosmic
neutrino background,
attosecond lasers
Source: Swan & dos Santos. (2024). The Second Linguistic Turn: Math Agents for Kantian Intelligence Amplification. Critical Genealogies.
https://www.researchgate.net/publication/379236605_The_Second_Linguistic_Turn_Math_Agents_for_Kantian_Intelligence_Amplification

66. 10 Aug 2024
Web3 Subjectivation
Smart Network Field Theory
66
Theory Description Reference
1
NSFT
Neural Statistical Field Theory
Corrections to Wilson-Cowan equation for
Markovian neural network, directed
percolation phase transition, Reggeon action
Buice & Cowan, 2007
10.1103/PhysRevE.75.051919
2
SNFT
Smart Network Field Theory
Physics formalisms in the computational
infrastructure for discovery and automation:
web3, genAI, quantum, IoT, smart grid tech
Swan & dos-Santos, 2018, arXiv:1810.09514
Swan, dos Santos & Witte, 2020
https://doi.org/10.1142/q0243
3
SFT for NN
Statistical Field Theory for NNs
Class of systems with quenched (time
independent) disorder arising from random
synaptic couplings between neurons
Helias & Dahmen, 2020 arXiv:1901.10416v1.
4
NNFT (NN-QFT)
Neural Network Field Theory
Non-Gaussian processes in NN = particle
interactions, Wilson RG correlation functions,
O(N) corrections and Feynman diagrams
Halvorsen et al. 2021, arXiv:2008.08601
Grosvenor & Jefferson, 2022 arXiv:2109.13247v2
Hashimoto et al. 2024 arXiv:2403.11420v1
Lei Wang & team 2024 arXiv:2403.18840v1
5 Generative Diffusion Models
Stochastic quantization & diffusion models,
lattice field theory, learn effective action
Sohl-Dickstein 2015 arXiv:1503.03585v8
Wang, Aarts & Zhou 2024 arXiv:2311.03578v1
6 Principles of Deep Learning
Use NN layer depth-to-width ratio, RG flow, &
criticality to obtain network ensemble
Roberts & Yaida, 2022, arXiv:2106.10165
Smart Network Field Theories: Neuroscience, Physics, and Deep Learning
Smart Network Field Theory (SNFT): field-theoretic approach (mathematical model of particle-many systems)
instantiating field theories (statistical, quantum) and other physics formalisms in the computational infrastructure for
scientific discovery and the automated operation of network technologies (web3, genAI, quantum, IoT, smart grid)
using integral systems eigenvalue-coefficient well-formedness as a dynamic control theory and other metrics
2020 2022
2020
 Physics framework
Source: Swan & dos-Santos, 2018, Smart Network Field Theory. arXiv:1810.09514. Swan, dos Santos & Witte, 2020, Quantum Computing: Physics, Blockchains,
and Deep Learning Smart Networks. World Scientific. https://doi.org/10.1142/q0243. pp. 267-298.

67. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
67

68. Information is alive – “All the contents of one’s mind suddenly become fused,
taking off within one’s head as when nonliving matter becomes living”
– The Exegesis Of Philip K. Dick (cover paraphrase)
“Language speaks us, rather than that we speak it“
– Truth and Method, III.5.3.B (Gadamer, 1960)
Subjectivation
Ours and Theirs

69. 10 Aug 2024
Web3 Subjectivation 69
2020
2017
2002
1943 2024
Subjectivation
Subjectivation:
relation to oneself
1998 2008 2018
Human-Machine Merge: edit software & hardware
AI as a new digital species, ethical development of digital minds
Personal AI Agents for humans, buildings, cities (Sophotechs)
White-collar productivity basically free: super-abundance

70. 10 Aug 2024
Web3 Subjectivation 70
Blockchain
genAI DL NNs
Quantum
Pure Capital
Pure Intelligence
Pure Compute
Subjectivation Pure Agency
Smart Network
Stack
Social Interaction
Analysis & Coordination
Information Processing
Self-determination

71. 10 Aug 2024
Web3 Subjectivation
Self-Sovereign Thinking
71
Our goal, the real promise of genAI, blockchain, quantum,
metaverse, brain-computer interfaces and the smart network stack
is not just intelligence amplification, but more fundamentally, being
amplification – expanding who we are and what we can be
Source: Swan, M. (2023). Hume and the AI Enlightenment. (2024). Greece Geometry and GPTs: The Writing of Thinking. https://www.researchgate.net/profile/Melanie-Swan-2.
Image: Kaplan, J. (2024). Human Level AI by 2030? Strings 2024. https://indico.cern.ch/event/1284995/contributions/5975500/attachments/2870687/5025760/Kaplan.pdf
 Progression
 Self-sovereign transactions
 Self-sovereign identity
 Self-sovereign thinking

72. 10 Aug 2024
Web3 Subjectivation
Economics: Full-stack Agent
 Intellectual exchange of ideas
 Social exchange of moral sentiment
 Productive exchange of trade
 Principles of energy exchange
 Planets, markets, individuals, nations
72
2018
1776
1759
1798
Economic Thinking:
Joanna Baillie “Budget of
Blunders”
Agora: a public open space used
for assemblies and markets
Source: https://www.researchgate.net/profile/Melanie-Swan-2

73. 10 Aug 2024
Web3 Subjectivation
Subjectivation: Life as Art
Aesthetic Theory: Work of Art
 What counts as a work of art?
 Hegel: pressing our self-concept into materials
 Heidegger: contest between world-earth grow-protect
 Adorno: autonomous object with its own natural law
 Benjamin: unique irreproducible aura (x-double spend)
 Deleuze: immaterial essence (quality of original world)
 Derrida: resistance, never final truth, re-read meaning
 Nietzsche: antidote to nihilism, revaluation of values
73
Source: https://www.researchgate.net/profile/Melanie-Swan-2
Image: https://www.artsy.net/article/artsy-editorial-crypto-investor-jehan-chu-building-collection-contemporary-art-nfts

74. 10 Aug 2024
Web3 Subjectivation
Subjectivation: Life as Art
Aesthetic Theory: Role of Art
 All: truth, freedom, subjectivation, the meaning of Being
 Hegel: valid reasons for thought and behavior
 Heidegger: unconceal meaning of Being of beings
 Adorno: critical dialectics contra culture industry & IR
 Benjamin: challenge/reinforce political structures
 Deleuze: Bildung immanent signs in folded multiplicity
 Derrida: politics of deconstructing parasitic forces
 Nietzsche: will to power, death, order; eternal return
74
Source: https://www.researchgate.net/profile/Melanie-Swan-2
Image: https://www.sciencefriday.com/articles/the-geologists-who-control-lava/

75. 10 Aug 2024
Web3 Subjectivation
Subjectivation: Life as Art
Works of Art are Unique Objects
 Art = subjectivation = truth = being
 Autonomous, new use of materials, unique
essence, own natural law (physical and juridical)
 Critique: mechanism of resistance, social critique
 The revealing of the essence of the meaning of
Being of Beings
 Transmission of ideal contents across time
75
Source: https://www.researchgate.net/profile/Melanie-Swan-2

76. 10 Aug 2024
Web3 Subjectivation
Crypto Aesthetics
1. Future of Work
 AI labor outsourcing means more time for creative pursuits
2. NFTs, blockchain gaming metaverse world creation
3. Aesthetics as ethics and valorization
 Choosing and embodying the values we want to support in our involvement with commerce, work activity, entertainment
 Economics and governance are fundamentally aesthetic, valorizing the kind of world we want
 Cryptoeconomics as preference-registering
4. Subjectivation (ours and theirs (any agent))
 Fundamentally a “work of art,” an autonomous pressing of self-concept into materials to create a world
76
Source: https://www.researchgate.net/profile/Melanie-Swan-2
Michaud, Y. (2012) The Aesthetics of Gilbert Simondon. Gilbert Simondon: Being and Technology.
Aesthetics: our set of thought and manner of
being in the world (Simondon, MEOT, 154);
the relation of human being to the world

77. 10 Aug 2024
Web3 Subjectivation
Crypto Agents
77
Source: https://www.researchgate.net/profile/Melanie-Swan-2
1791 1807 1967 1968
Written specifications for critical self-
consciousness and intersubjectivity
 Merkle Tree of Philosophical Trajectories
 Proof of thought trajectory
Philosophy Agents:
https://app.soopra.ai/kant
https://app.soopra.ai/hegel
https://app.soopra.ai/derrida
https://app.soopra.ai/deleuze
https://app.soopra.ai/heidegger

78. 10 Aug 2024
Web3 Subjectivation
Agenda
 What is Blockchain?
 What is Web3?
 Web3 Application Sectors
 DePIN (physical infrastructure networks)
 Environmental Markets
 DeFi (finance)
 DeSci (science)
 DeSocNet (social networks)
 Decentralized AI
 Smart Network Field Theory
 Math, Physics, Formalization
 Aesthetics and Subjectivation
78

79. 10 Aug 2024
Web3 Subjectivation
Conclusion
79
 Cryptoeconomic change is a long game
 Credit cards, ATMs, digital payments, crypto
 Early days in longitudinal transition to decentralized models
 Scope: support global digital population
 Resiliency: reduce single-actor dependence
 Participative: users control data
 Alignment: contributors remunerated

80. 10 Aug 2024
Web3 Subjectivation
Risks and Limitations
 Technology cycle too early
 UX issue (unfriendly user interfaces)
 Not just an UX issue, underlying domain too complicated
 Few crypto winters but huge setback could still be coming
 Difficult to retool towards large-scale decentralization
 Adoption stalls
 Blockchain deployments: get-rich-quick schemes outweigh humanity-improving science
information technologies
 Indifference: benefit-cost ratio of participating in governance
 People want to know what is going on but not participate
 Social reaction to technology: overwhelm, alienation
 Mechanistic aspect is unpalatable, detracts from qualitative
80

81. 10 Aug 2024
Web3 Subjectivation
Our Crypto Aesthetic Future
81
2017
Mindful
Optimism
2024
Future of Work
New Purpose
2018
Kardashev
Possibility
 Crypto Aesthetics as ethics and valorization
 Choosing the values we support in productive activity, commerce, interaction,
entertainment, creativity
 World-making and self-making
 Self-sovereignty: transactions -> identity -> thinking
Our goal, the real promise of genAI,
blockchain, quantum, metaverse, brain-
computer interfaces and the smart
network stack is not just intelligence
amplification, but more fundamentally,
being amplification, expanding who we
are and what we can be

82. 10 Aug 2024
Web3 Subjectivation
Example
Cryonics: forward-thinking futurist community
 Global Cryonics Study (n = 316)
 Flexible attitude towards personal identity: brain and body
 Brain
 This physical brain is the “source of me” now (75%)
 These specific memories are the future “source of me” (87%)
 Body
 This physical body is “part of me” now (68%)
 This physical body is “part of me” in the future (14%)
82
Source: Swan, M. (2019). Worldwide Cryonics Attitudes About the Body, Cryopreservation, and Revival: Personal Identity Malleability and a Theory of Cryonic Life
Extension. Sophia International Journal of Philosophy and Traditions. 58:699–735. Springer Nature B.V. https://link.springer.com/article/10.1007/s11841-019-0727-4.
Personal Identity Malleability conceptualization may influence Cryopreservation Decision

83. 10 Aug 2024
Web3 Subjectivation 83
 BioAvatar: neural transfer digital-
biological twin
 Clinical-grade wearables
 Brain-machine interface (BMI)
 Whole-brain emulation (WBE)
 Connectome
 Brain: a Merkle forest of ideas
 Merkle tree calls thought trajectories
 “My thinking” is blockchain-instantiated
 Quantum BrainDAO
 Superposition expands capacity
 “My thinking” is quantum-instantiated
Quantum BrainDAO
Hash-linked data structure (IPLD for the Brain)
Quantum BrainDAO
Source: Swan, M. (2015). Blockchain thinking: The brain as a DAC (decentralized autonomous corporation).
IEEE Technology and Society Magazine 34(4):41-52.
1994

84. 10 Aug 2024
Web3 Subjectivation
Super-abundance
Paretopia Argument
 Utopia concept is not exotic just unfamiliar
1. If resources are “only” growing by 50% (huge by historical standards), utility in
taking bigger share
2. If resources grow by 1000x, same utility in one party taking everything and
everyone sharing everything
84
Source: Drexler, E. (2018). Paretotopian goal alignment. Centre for Effective Altruism. London. https://www.youtube.com/watch?v=1lqBra8r468
2013
2. 1000x Resource Growth (logarithmic):
familiar Moore’s Law-type advance
Paretopia: economic outcomes with
all parties seeing very large gains
1. 50% Resource Growth (linear):
Parties A & B compete for unequal share
Overton window: (narrow) range of
acceptable discussion topics within a
community (policy hindrance)
Same utility in
taking vs
sharing

85. 10 Aug 2024
Web3 Subjectivation
Crypto-Paretopia
 Paretopian optimal region
 Best outcome is fair to all parties; negative gains from attempting to grab
everything (greed brings risk)
 Cryptoeconomic structures enable paretopian futures
85
Source: Drexler, E. (2018). Paretotopian goal alignment. Centre for Effective Altruism. https://www.youtube.com/watch?v=1lqBra8r468; Benet, J. (2022).
Achieving Paretotopia with Regenerative Cryptoecon.
2. Crypto Roadmap to Paretopia
1. Paretopian Optimal Region

86. 10 Aug 2024
Web3 Subjectivation
Web3: Read-Write-Own Web
86
Source: https://twitter.com/coingecko/status/1487380562171990019
1990s 2000s 2020s
1980s
I can read it
I can like it
and mash
it up
I can support,
participate in, and
create projects in line
with my values,
empowered choices
User Expectations

87. 10 Aug 2024
Web3 Subjectivation
Thesis
87
1. Crypto – blockchain technology has changed the way we perceive and
interact with digital systems for using and tracking digital assets
2. Cryptoeconomics in the form of next-phase internet Web3 emphasizes
aligned high-resolution mechanism design to achieve outcomes. Digitized
industries become information sciences measured by entropy and energy
3. Crypto Field Theory offers a physics framework for particle-many crypto-
systems analysis and generalizes to smart network field theory
4. Crypto Aesthetics is enacting preferences in line with our value systems

88. 10 Aug 2024
Web3 Subjectivation
27 Feb – 2 Mar 2025
ETH DENVER
 text
88
Source: https://x.com/ethereumdenver, https://www.youtube.com/watch?v=a2n5GSpN5qU

89. 10 Aug 2024
Web3 Subjectivation 89
Source: https://www.edcon.io/
26-30 July 2024
Tokyo
HODLING: Buy and Hold crypto investment strategy
HODL vs HOLD: decentralized inversion of centralized models
BUIDLING: #BUIDL movement creating the software,
infrastructure, applications, and community to support and drive
the crypto ecosystem forward; hacker philosophical attitude

90. 10 Aug 2024
Web3 Subjectivation 90
Source: https://cquic.unm.edu/events/2024/10/squint-2024-annual-workshop.html
30 Oct – 1 Nov 2024
Quantum Information Workshop
Southwest Quantum Information and Technology (SQuInT) Boulder CO (Interlocken)

91. 10 Aug 2024
Web3 Subjectivation
Crypto Sci Fi
 Stross
 Fast and slow money transferred
by sub-dermal wallets
 Schroeder
 Corporations replaced by AI crypto DAOs
 Avatorial representation of non-human
entities (forests, oceans) in political forums
 Aggregation of real-life sensor signals (e.g.
forest stress chemical emission)
 Physical-digital twin interface, using VR to
create, re-create physical world
 Robinson
 Carbon coin, post-labor economy
91
2013 2019 2020
DAO: Distributed Autonomous Organization: package of smart contracts operating on a blockchain

92. Denver CO, 10 Aug 2024
Slides: http://slideshare.net/LaBlogga
Melanie Swan, PhD, MBA
DIYgenomics.org (Research Lead)
University College London (Research Associate)
“This is very fundamental: it is computing, and the power
of computing melding with memetic systems, human
systems, and organizational structures
– you can rebase all of civilization on this”
– Juan Benet, Protocol Labs, 2022, Achieving Paretotopia
with Regenerative Cryptoecon, Schelling Point Amsterdam
Thank you!
Questions?
Collaborators:
Takashi Kido
Renato P. dos Santos
Web3 Blockchains
The Math, Science, and Aesthetics of Prosperity
Empowering Users with Beyond-Monopoly Choices

93. 10 Aug 2024
Web3 Subjectivation
Abstract
93
Web3 Blockchains: The Math, Science, and Aesthetics of Prosperity
What is the status of blockchains fifteen years after their launch? The World
Economic Forum estimates that 10% of global GDP might be stored on-chain by
2027, however, despite the success of digital payments, blockchain adoption has
been deterred by usability, risk, and “casino-like” reputation. On the other hand,
numerous web3 (read-write-own web successor to read-only and read-write
web) projects are underway to place personal data ownership, control, and
remuneration back in the hands of the individual. This talk provides a blockchain
update in the overall context of the smart network computational infrastructure
which includes the blockchain social layer, the genAI intelligence layer, and the
quantum network compute layer.

94. 10 Aug 2024
Web3 Subjectivation
How does Blockchain work?
94
Source: https://www.adeptia.com/blog/integrating-blockchain-technology

95. 10 Aug 2024
Web3 Subjectivation
Blockchain primitive (building block)
Hash functions
 Hash function: function converting any length input (image,
movie, legal document) to a fixed length encrypted output
 Example: output (digest) of the SHA-256 hash function for
 “My last will and testament on this day”
 13789917A50601C55D396B83FD98F1A0BED628948AD5F84890C63
210E0897D76
 “My last will and testament, on this day”
 C6E9D7F4C9F7D0C8CD24E4D674BED1146331DB61555F9D68EBA
AA3A0E827BBAB
 Adding one comma results in a completely different hash digest
 NP-complete problem: hard to compute, easy to verify
 Cannot guess the output ahead of time without putting the inputs
into the algorithm and performing the calculation
 Must do the actual “work” to compute the output
95
Source: SHA-256 hash algorithm: https://passwordsgenerator.net/sha256-hash-generator/

96. 10 Aug 2024
Web3 Subjectivation
Hash-linked data structure (IPLD)
 Merkle tree: hierarchical structure of hash codes corresponding to a large data structure
 A hash is made for each data element, then a hash of these hashes, and so on, hierarchically until there is just one top-level hash that calls the entire data structure, the Merkle root
 One top-level Merkle root calls an entire data corpus
 Bitcoin blockchain: 725,000+ transaction blocks since inception (Jan 2009) as of Mar 2022
 All Github code, all Pubmed publications
 An entire brain or cloudmind (brain of brains)
 All human knowledge (digitally encoded)
 Data pillar (crypto science fiction, Bear, Eon, 1985)
 Whole human genome or brain file
96
IPLD: interplanetary hash-linked data structure standard Source: Swan, M., dos Santos, R.P. & Witte, F. (2020). Quantum Computing: Physics,
Blockchains, and Deep Learning Smart Networks. London: World Scientific.
Blockchain:
transaction blocks
hashed together

97. 10 Aug 2024
Web3 Subjectivation
Source: https://www.seattletimes.com/business/bitcoin-miners-exit-china-beat-a-path-to-the-u-s-as-crypto-climate-shifts/
97
Source: https://www.illumina.com/science/technology/next-generation-sequencing.html
Mining shifting to US as China bans
cryptocurrency production (June 2021)
USD $45 million/day business:
block reward 6.25 btc/block ($312,500) x 6
blocks/hour x 24 hours/day ~= $45,000,000
(at Bitcoin = $50,000)
Mining. technical deep-dive.
 Miners calculate a hash value using the block header (constant for
a specific block) and a nonce (random string changed repeatedly)
to create a hash output that hopefully meets the block requirements

98. 10 Aug 2024
Web3 Subjectivation
How does mining work?
98
How does Bitcoin mining work?
https://blockexplorer.com/block/0000000000000000002274a2b1f93c85a489c5d75895e9250ac40f06268fafc0
Difficulty: a measure of how hard it is to create a hash that
is less than the target (system-set computational number
involving floating point operations, exponents, integrals);
re-tuned every 2016 blocks (~2 weeks) to keep PoW as a
meaningful deterrent against rogue miners as the overall
network computation power increases or decreases
The winning nonce (number used once) for
this block, a number appended to the current
header, that when re-hashed, meets the
difficulty level (for any block, the Bitcoin nonce
is an integer between 0 and 4,294,967,296)
Step 2: Record the block. The block hash is the digest of
SHA-256 run on six data elements: 1. Bitcoin version number
2. previous block hash 3. Merkle Root of all the transactions
in the block 4. timestamp 5. difficulty target 6. nonce
18 leading zeros (can vary)
Step 1: Find the nonce (NP-complete problem). A miner guesses a nonce
(random string), appends it to the hash of the current header, rehashes
the value, and compares to the target hash value (which has a certain
number of leading zeros). If the resulting hash value is equal to or lower
than the target, the miner has a solution and is awarded the block
HERE: Oct 7, 2018 (18 leading zeros)
https://blockexplorer.com/block/0000000000000000002274a2b1f93c85a489c5d75895e9250ac40f06268fafc0
RECENT: Nov 6, 2021 (19 leading zeros)
https://www.blockchain.com/btc/block/0000000000000000000633b91a8cd72235104935c9d3af0b0edae9ad6f89f4ef
Summary: the hash is calculated using the block header, which
is constant for a specific block, and a nonce, which is changed
repeatedly by the miner, to create different hash digests in the
hope of finding a digest that fits the block requirements
Target value: an integer in the range of [0, (2256
- difficulty)]

99. 10 Aug 2024
Web3 Subjectivation
99
Reality Interface
Abstraction: Mathematics is the Interface
Multiscalar Renormalization
One System Two Modes
Mathematics as a High-order Lever for Interacting with Reality
Data de-emphasized in the Math-Data Relation
Math-Data Relation: Big Data -> Big Math
 AI “speaking” formal languages implies math as a higher-
order lever for interacting with reality (beyond data)
Source: Swan, M., Kido, T., Roland, E. & dos Santos, R.P. (2023). AI Math Agents: Computational Infrastructure, Mathematical Embedding, and
Genomics.

100. 10 Aug 2024
Web3 Subjectivation
Crypto Digitization of Macro Systems
100
Source: Benet, J. (2022). Achieving Paretotopia with Regenerative Cryptoecon. Schelling Point. Amsterdam.
https://www.youtube.com/watch?v=B-dd2ZRlymo
 Macro systems: outdated, easy to manipulate, not at necessary scale for 8.1
billion people
 Cryptoeconomics: important to get correct incentive structure for sustainable
public goods at the outset

101. 10 Aug 2024
Web3 Subjectivation
Cryptoeconomic Theory
 Cryptoeconomic mechanism design for
large-scale incentive-aligned coordination
 Important to get cryptoeconomic primitives right
101
Source: Benet, J. (2022). Achieving Paretotopia with Regenerative Cryptoecon. Schelling Point. Amsterdam.
https://www.youtube.com/watch?v=B-dd2ZRlymo
2015
Blockchain 1.0: Currency
Blockchain 2.0: Contracts
Blockchain 3.0: Beyond

102. 10 Aug 2024
Web3 Subjectivation
Kegan’s Stages of Adult Development
 Stage 1 — Impulsive mind (early childhood)
 Stage 2 — Imperial mind (adolescence, 6% of adults)
 Stage 3 — Socialized mind (58% of adult population) – member of the tribe
 Stage 4 — Self-Authoring mind (35% of adults) – my criteria for participation
 Stage 5 — Self-Transforming mind (1% of adults) – interrogating my criteria
102
Source: https://medium.com/@NataliMorad/how-to-be-an-adult-kegans-theory-of-adult-development-d63f4311b553,
https://bmrheijligers.medium.com/adult-human-development-98456ced48c4
1998

103. 10 Aug 2024
Web3 Subjectivation
Joscha Bach extends Kegan
 Stage 3 — Socialized mind – the social self
 See the API for other humans and publish your own API
 Stage 4 — Self-Authoring mind – write my criteria
 Stage 5 — Self-Transforming mind – interrogate my criteria
 Discover how identity is constructed, see that my values are not fixed, but a path
to achieving a world and aesthetics that I valorize
 Stage 6 — Enlightenment – non-self, self and world are just representations
 Collapsing the division between self and world; notice that I am not a person, I
am a vessel that can create a person; I can see myself from the outside
 Stage 7 — Transcendence – transhumanist stage
 The mind fully sees how it is implemented and can enter different modes of
implementation; e.g. the post-subject subjectivation
103
Source: Bach, J. (2009). Principles of Synthetic Intelligence. OUP. (2020). Homo Monkey & Cyborgs: Nature, Culture and the Great Reset:
Transhumanism.
2009 2020
2017
Life 1.0: cannot modify software or hardware
Life 3.0: modify software & hardware
Life 2.0 (human): modify software