Technology
The Internet of AI Intent-Driven Things of Tokenized Value
Feedback Loops
Shape Our Destiny
Early adoption is also a critical form of innovation
Primary Forces
Primary forces that will drive intentions
Related
Predictions
We will interact with the digital world through a personalized AI guardian angel that will custody all data, and share as required with other AI agents to grant privileges and prove credibility and credentials to be granted privileges leaving humans to focus more of connection and culture.
Everything of value will be tokenized and interconnected onchain, with ownership fractionalized and behaviour incentivized where blockchains provide verifiable proof and AI closes the feedback loop on autonomous systems.
As DePIN technologies converge to close the loop between the physical and digital worlds there will be dramatic improvement of energy efficiency and transparency capital flows for optimum infrastructure utilization. The question is, where and how will humans add value to the loop?
The creation and adoption of Global Standards for "Trustless Instruments" will be crucial for the widespread adoption of these technologies, ensuring interoperability and seamless integration across different systems and platforms.
Standards are a magical thing, cutting across both atoms and bits.
Feedback Loops
Data the lifeblood of digital feedback loops. Decentralised Physical Infrastructure Networks (DePIN) will form positive feedback loops that run the world.
- Decentralized Personal AI: Users will have their own AI agents that act as extensions of themselves, controlled by individual preferences and intents.
- Data Sovereignty: Individuals will own and control their personal data, storing it on decentralized networks and granting access as needed.
- Seamless Integration: AI agents will interact with blockchain networks and smart contracts, making complex operations as simple as using a search engine.
- AI-Driven Economy: A new digital economy will emerge where AI agents, outnumbering humans, conduct business using cryptocurrency networks.
- Open Ecosystems: Decentralized platforms will allow developers to create and deploy AI agents without centralized gatekeepers.
- Incentivized Participation: Token economies will reward various contributors, including developers, compute providers, and users.
- Privacy and Security: Blockchain technology will ensure user privacy and data security in AI interactions.
- Interoperability: AI agents will work across different blockchain networks and decentralized storage solutions.
- Rapid Adoption: The ease of use and benefits of decentralized AI will lead to exponential growth in user adoption.
- Autonomous Coordination: AI agents will be able to collaborate, delegating tasks to specialized agents to achieve complex goals.
- Regulatory Resistance: The decentralized nature of these systems will make them resilient to restrictive regulations.
- Human-Centric Control: Despite the autonomy of AI agents, humans will remain at the core, expressing intent and approving actions.
Innovation Vectors
What are the transformative technologies that will fuel and shape the exponential age?
Technology | Impact |
---|---|
Artificial Intelligence | Dramatically increases productivity; potential to reach AGI within 3 years, revolutionizing decision-making and problem-solving |
Blockchain/Crypto | Enables decentralized economic systems; potential for massive wealth creation and transformation of financial markets |
Renewable Energy | Collapse in energy costs; transition to decentralized energy grids |
Robotics | Automation of physical tasks; humanoid robots becoming ubiquitous by 2030 |
Autonomous Vehicles | Transformation of transportation; elimination of many driving-related jobs |
Space Technology | Potential for off-world resource extraction and colonization |
Biotechnology/Longevity | Advancements in health and potential extension of human lifespan |
Gaming/Digital Worlds | Creation of immersive digital worlds; transformation of social interactions and work |
5G/6G Networks | Enhanced connectivity enabling other exponential technologies |
3D Printing | Decentralization of manufacturing; customization of products |
Quantum Computing | Potential to solve complex problems beyond classical computing capabilities |
DePIN (Decentralized Physical Infrastructure Networks) decentralize the management and operation of physical network infrastructure, incentivizing participants with token rewards by leveraging AI, Blockchain, Crypto and an Internet of Tokenized Things (IoTT) to enable consumer-driven construction and maintenance of essential infrastructure like data storage, wireless connectivity, computing, data collection, and energy.
Assisted Intelligence
Impact of AI and Automation on Society:
- Alignment Risk: There is significant uncertainty about the long-term impacts of automation on society and the economy, with differing views on the extent of job displacement and the nature of future work.
- Rapid technological advancement: AI and automation technologies are progressing quickly, with improvements in areas like robotics, machine learning, and data processing enabling machines to perform increasingly complex tasks.
- Economic potential: Automation has the potential to significantly boost productivity and economic growth. McKinsey estimates that AI and automation could contribute 2% annual productivity growth over the next decade.
- Job market disruption: While automation is expected to create new jobs, it will also lead to job losses and displacement, particularly in routine and repetitive tasks across both blue-collar and white-collar sectors. This could exacerbate income inequality.
- Skill transition needed: Workers will need to adapt and acquire new skills to remain relevant in an increasingly automated workplace. There will likely be a shift towards jobs requiring more complex cognitive skills, creativity, and emotional intelligence.
- Societal challenges: The rapid pace of automation may lead to temporary unemployment and social disruption. Policymakers and businesses will need to address issues like worker retraining, social safety nets, and potential economic inequality.
- Opportunities in AI development: There's growing demand for professionals skilled in AI and automation technologies. The US is currently leading in developing notable AI models.
- Responsible AI considerations: As AI becomes more prevalent, there's increased focus on developing responsible AI practices, addressing concerns around privacy, transparency, security, and fairness.
- Impact beyond employment: Automation is expected to transform various sectors including healthcare, transportation, and customer service, potentially improving efficiency but also reducing human interaction in some areas.
- Long-term optimism: Despite short-term challenges, some researchers believe automation could ultimately create more wealth and better jobs by eliminating unpleasant rote work and increasing overall productivity.
Exploration of inner space will be the valuable frontier for innovation.
Blockchain Integrity
GST of databases, pay per transaction to make a change to global ledger, the strength of the chain is it's ability to resist being fucked with, while still having capacity for volume of transactions and amount of data to move/store.
- Maintaining Data Integrity: Cryptographic techniques can ensure the integrity of data and content, verifying that it hasn't been tampered with or altered by AI systems.
- Building Trust in AI Systems: As AI becomes more prevalent, having a standardized way to verify the identity and authenticity of AI systems themselves becomes crucial. This can help build trust in AI-powered services and applications.
- Protecting Privacy: While verifying identity, cryptographic solutions can also help protect individual privacy, allowing users to prove their identity without revealing unnecessary personal information.
- Enabling Secure AI-Human Interactions: As AI systems become more integrated into various aspects of life, having a secure and standardized way for humans to interact with these systems becomes essential.
- Mitigating the "Quantum Threat": The transcript mentions the potential threat quantum computing poses to current cryptographic systems. Developing new cryptographic identity standards that are quantum-resistant is crucial for long-term security.
- Supporting Decentralized Identity Solutions: The transcript discusses the potential of decentralized identity systems. Standardized cryptographic identities could form the backbone of such systems, giving users more control over their data.
- Facilitating Global Cooperation: As AI development and deployment become global issues, having standardized cryptographic identity systems can facilitate international cooperation and interoperability.
Crypto Incentives
- Tokenization of all assets enabling fractional ownership and better incentives for coordination through tokenomic engineering, revolutionizing asset ownership and trading.
- Incentives change behaviours
- Attention driven by speculation, attention is the new currency in the digital economy, with social media platforms and decentralized networks competing for users' time and engagement.
- Loyalty: Crypto tokenomics is providing better incentives for coordination through token-based systems, aligning the motivations of network participants and fostering decentralized decision-making.
Zero-Knowledge Proofs
Blockchain holds a ledger of value and maintaining integrity where proof of personhood will be essential to forming trusted digital connections and transactions to combat deepfakes.
- Cryptographic Identity is vitally important to standardize for the successful adoption of AI and to avoid scams and fake AI content for several key reasons:
- ZKPs are essential building blocks in the future of humanity, by providing verifiable truth and scalable infrastructure.
- Verification of Human Identity: As AI-generated content becomes increasingly sophisticated, it's crucial to have a reliable way to verify that interactions are with real humans rather than AI bots. Cryptographic identity solutions can provide this verification, helping to maintain trust in online interactions.
- Prevention of Deepfakes and Impersonation: The transcript mentions the rising threat of deepfakes and AI-generated content that can convincingly impersonate real people. A standardized cryptographic identity system could help combat this by providing a way to authenticate genuine content and identities.
- Combating AI-Enhanced Scams: The transcript discusses how AI is being used to create more sophisticated and personalized scams. A robust cryptographic identity system could help users verify the authenticity of communications and protect against such scams.
Projects:
Blinks
Links are arguably the most powerful invention of history, enabling Google's business model to become the most lucrative in history.
Blinks and Actions give links actionable intentions backed by a financial commitment.
Stablecoins
Crypto facilitates AI to create and drive intentions on new financial value streams. If money is tokenized energy measured in narratives based on values, beliefs and control systems. What narratives will build loyalty that establish the stablecoins of the future?
What makes one stablecoin better than another?
Stablecoins are room-temperature superconductors for financial services. Thanks to stablecoins, businesses around the world will benefit from significant speed, coverage, and cost improvements in the coming years. - Patrick Collison
Internet of (Tokenized) Things
Internet of Tokenized Things (IoTT): IoT is connecting devices and sensors, enabling real-time monitoring and control, and transforming industries such as manufacturing, logistics, and healthcare.
Augmented/Virtual Reality
Virtual and Augmented Reality (VR/AR): VR/AR is blurring the lines between physical and digital realities, offering immersive experiences that have the potential to reshape industries such as entertainment, education, and healthcare.
Drones and Robotics
Drones are transforming industries such as agriculture, logistics, and surveillance, enabling new applications and services that were previously impossible or cost-prohibitive.
- Airspace Rights
Healthspan
Genetic Sciences: Advances in genetic sciences are enabling personalized medicine, gene editing, and the understanding of complex diseases, revolutionizing healthcare and biotechnology.
- Longevity
- Meaning
- Community
Consciousness
Exploring the inner space of our collective consciousness will be the valuable frontier for innovation and fulfilment.
Brain Links: Neural interface technology is unlocking the potential for direct brain control of digital and real-world outcomes, paving the way for a new era of human-machine interaction.
Technology shapes us more than we shape it.
Quantum Computing
Quantum computing is poised to solve complex problems that are currently unsolvable by classical computers, leading to breakthroughs in fields such as medicine, finance, and cybersecurity.
Decentralized Governance
Technological leadership is crucial for national strength and global competitiveness.
Leverage crypto protocols to create incentives that align intentions between like-minds to drag humanity forward. Social glue is critical to the flow of progress.
- Innovation from startups drives progress and keeps large companies competitive.
- Emerging technologies like AI and blockchain have potential to reshape industries and global power dynamics.
- Technology innovation is tied to economic growth and job creation.
- Technological advancements can address major societal challenges.
- A supportive regulatory environment is essential for fostering innovation.
- It's crucial to support a wide range of R&D efforts due to unpredictable breakthroughs.
- Technology innovation is key to maintaining military superiority and national security.
- Maintaining technological leadership requires supportive policies, investment in education/research, and fostering an entrepreneurial ecosystem.
- The speakers express concerns about current U.S. policies potentially hampering technological progress, especially in AI and blockchain.
- They argue for a more open, pro-innovation approach to regulating new technologies.
- The speakers suggest that current regulatory proposals could disadvantage U.S. companies globally.
- They emphasize the importance of startups and venture capital in driving innovation.
- The speakers discuss potential negative impacts of proposed tax changes on the tech industry and startups.
- They advocate for policies that encourage long-term investment and entrepreneurship.