Data Agriculture

DataAgriculture.ai seems like an interesting taxonomy-updating quest. It feels time for a team of hybrids to help us build through Big Tech’s early attraction-to-extraction narrative. This domain is now available to energize such a build. Why could this be massive?

The void that a term like “extraction” prompts sounds sharp, but it needed to be. The hollowness has been felt, but that’s when humans can remain enriched from digitized data that flows through more like an agricultural systems versus a mining expedition. Instead of a complete void, appreciating the access to an improved state of mediocrity, but also knowing that 100% HUMAN then becomes even more luxurious.

Extra Shot

Reading can led to compelling investments into fresh whims.

Helping to translate the cultural narrative by working through the abundance of data. All the data everyone talks about as AI gains vast awareness. This is a new, serious quest for a brand that curates human activity alongside AI allies. Humans remain remarkable. What products might benefit from leading such an industry quest and needs the URL to energize their exploration of this idea maze? The goal would be to transition away from “extraction” and through to the next phase: data agriculture

As society grapples through what started as an attraction phase, the sense of being a product is hindering the opportunity. Humans have a moment to reflect on the addiction of productivity. We can remain awesome, which machines want anyway. Keep the source code wild and machines will always wanna learn how we do it. It’s why 87. Incentivized Reality was such an important finishing riff for the Technology section, on PAGE 259 in the new book.

The point? 100% HUMAN becomes even more luxurious. Our premium human time that collides us is what offers a path to staying wild. It’s the random that makes life move forward. Life has always been wild, but the potential serendipity IRL invites, can not be replicated.

By Ben McDougal, ago

Mechanized Money

Banks track the story of money to prevent double spending, but money management is a power that can be abused by regulations, greed, and outright fraud.

Blockchain technology was first introduced in a 2008 white paper for Bitcoin, with Bitcoin then going live in 2009. By recording transactions with transparent logs on dynamic ledgers, public and private blockchains solve the double-spend problem with fewer third parties taking a cut, and instead, redirecting resources to cover the raw costs of computing, electricity, and network verification. The unspent transaction output (UTXO) model for tracking transactions and balances fractures this digital asset from the initial whole. These fractions are used as currency, which makes accounting inclusive, verifiable, and very transparent.

EXTRA SHOT

This contribution is by scottrepreneur, a UX designer and blockchain developer building at the forefronts of technology.

Blockchain technologies have reached mainstream adoption, but cryptography has been studied since the 1980s. Bitcoin was first to crack the code, and now different blockchains and more onchain layers are being combined in powerful ways. Today, there are four main types of blockchain networks: public blockchains, private blockchains, consortium blockchains, and hybrid blockchains. It’s impossible to count private blockchains, consortium blockchains, and hybrid blockchains, but there are hundreds of public blockchain that are permissionless. This means they are fully decentralized and anyone with an internet connection can equitably access the blockchain as an authorized node. Bitcoin and Ethereum are the two largest blockchains, with 10% of the global population owning some form of countless cryptocurrencies.

Within each blockchain, layers provide separating infrastructure for developers. Hardware, data, network, consensus, and application layers make blockchain technologies more usable, with each layer offering unique functionality. The last ingredient in a blockchain recipe is hashing, which delivers verifiability by assembling a historical ledger where any tampering of previous transactions will disrupt current calculations. With verifiable ledgers storing only valid transactions, we can automate value.

Smart Contracts

Smart contracts allow us to program, exchange, and intermediate value using the storage mechanisms first introduced by Bitcoin. Programming languages allow smart contracts to store data on specific blockchains, with small amounts of cryptocurrency used for gas fees, which is the cost to cover computational intensity and network interactivity. These primitives help coordinate mechanized value, with tokenomics and technical testing leading to effective governance on and off blockchains.

Tokens & Standards

As smart contracts began conforming to implementation criteria, token standards led to initial coin offerings (ICOs) that were sourcing funds for a wide variety of projects. Many overly ambitious projects damaged trust with unfulfilled promises and led to ICO bubbles, but the speed and effectiveness of such aligned collaboration hints at the power of this mechanism. The adoption of standards across an ecosystem allows for tight composability and interoperability across protocols. Tokens and standards are the building blocks for decentralized finance (DeFi), with stabilizing support from stablecoins.

Stablecoins

Stablecoins are a type of cryptocurrency that pegs steady value off another asset.

Fiat-backed stablecoins are backed by fiat money in an auditable account and have structural similarities to money market funds. Fiat money is a government-issued currency, such as the US dollar, that is not backed by a commodity such as gold. While fiat stablecoins are easy to scale, they are less decentralized yet remain popular because they are backed by existing currency and established regulations.

Collateral-backed stablecoins are backed by assets that are locked onchain and transparently auditable. When done right, these types of stablecoins have great decentralization properties, but they are hard to scale and can have liquidity issues from a market squeeze.

Algorithmic stablecoins are balanced with a system known as seigniorage shares, which uses mathematical algorithms and smart contracts to maintain a stable value relative to a target asset. Implementation of algo-stablecoins has been unsuccessful to date, so avoid these types of stablecoins until technology can unequivocally support the ideology. Alright, with tokens and places to store value onchain, let’s look at innovating within traditional financial exchanges.

Lending & Exchanges

Organizations committed to a BUIDL market have delivered on over-collateralized lending and borrowing onchain. Lenders can lock collateral to earn from borrowers, but borrowers need to be lenders of another token and ensure their loans remain sufficiently over-collateralized. Lending and borrowing both rely on asset prices to determine liquidation thresholds, but if these can be manipulated, the system remains vulnerable. Oracles provide an example of systems that can support blockchains with real-world data to keep decentralized mechanisms in tune as the value and frequency of cyber attacks increase.

Early experiments around what order books looked like onchain were clunky. Each bid, update, acceptance, or cancellation required another transaction and small but constant gas fees. This changed in 2018, when Uniswap used the Ethereum blockchain to provide a simple interface to swap tokens. Instead of creating offers to buy or sell, a market maker provides two tokens in a pool. These pools are called automated market makers, with pilot protocols that leverage a constant product market maker equation (k=x*y) to hold the ratio of pooled tokens equal. This supports non-custodial token swaps with fewer steps. If parameters for a transaction are not met, the smart contract will not execute, which keeps the exchange stable.

Pioneering Frontiers

Crypto has fast-moving frontiers. This makes for a continuous experiment, with good discoveries along the way. While gold awaits any gold rush, progress does not come without struggles, sacrifice, and reparations.

Let’s use the technology life cycle of crypto as a case study. Concepts like liquidity incentives tested financial yields from onchain assets. This model was well-received (2022), but token inflation without enough value loops became unsustainable. Initial coin offerings (2023) were also a wild way to rope in financial capital, but fake projects took over as fraud became easy. Bad actors affect the public’s sense of trust early in any technology’s life cycle. This adds hesitation and slows adoption, but failed experiments are required.

Years of rapid experimentation keeps innovation curves rolling on any frontier. As the volume gets louder around other technologies, less good noise is often perceived as a stall, or more drastically, the beginning to an end. Less noise may lead to fewer people actively building into a shared direction, but a trendy talent shift does not mean a misunderstood technology has had its day.

Within the short timeline of this brief case study, Narrow AI had been conversationalized and Agentic AI was signaling toward General AI. This turned attention (deservingly so) away from web3 concepts, blockchain technology, and mechanized money, but the decentralized progress lies in wait and the concepts of crypto are not going anywhere.

The technologies and economies that digital depth supports provide balance. Even in quieter BUIDL cycles, cross-chain interoperability, token standards, layered development, and global regulations will continue to push DeFi forward.

DeFi’s Destiny

Any dark forest can be treacherous, but system-level engineering takes time, and it’s liberating to build with intrepids who are learning together. As we complete this download, here are more interesting use cases to keep us thinking about what’s possible beyond traditional finance.

  • Instead of getting paid every 2 weeks or each month, smart contracts can create payment streams. Instant access to financial capital furnishes more financial freedom. Along with incoming compensation and outgoing subscription fees, self-repaying loans can further automate and optimize financial command.
  • Prize-linked savings accounts, also known as no-loss lotteries, are not uncommon in traditional finance. Local municipalities and credit unions have generally handled them, but smart contracts enable little to no overhead. Pooling capital and lending it to others is also used in smaller communities to help with small, low-cost loans.
  • Flash loans allow for borrowing a near-infinite amount of a token, provided the loan is paid back within the same transaction. These trusted transactions require significant capital, but can be facilitated within one block, then democratized to anyone with access to the blockchain, a scripting language, and a relaying node.

      DeFi provides composable tools for traditional and innovative finance primitives. Being able to mechanize money and the value it delivers within a network is power that’s less fragile and more translucent. As web3 concepts hook into the financial primitives of crypto, the global economy can leverage faster, more equitable, and safer peer-to-peer commerce.

      Brewed From Within
      #77 📖 Technology

      By Ben McDougal, ago

      Woven Worlds

      Culture is woven; technology is built.

      One accumulates through memory and shared meaning, shaped over time by many hands. The other is designed and assembled with intention. This distinction matters because what is built can be finished, while what is woven never is.

      Through stories, symbols, and artifacts, each generation adds new layers to our collective tapestry.

      What once took only physical form is increasingly becoming digital, carried forward by the relentless evolution of technology. Yet, once introduced, technology rarely remains confined to its original purpose. It’s folded into the fabric of our world, where it’s interpreted and repurposed, becoming part of our society in ways its creators could not fully anticipate. New ideas rarely replace what came before; they intertwine with it. Beliefs and practices become entangled across time itself.

      EXTRA SHOT

      This contribution is written by Will Schneller, a curious founder and technologist who explores how art, technology, and community weaves together.

      At the edge of new frontiers, humans reach for the familiar. We stitch together the distance between the known and unknown with shapes we recognize. Sometimes this instinct serves convenience or efficiency, making new systems easier to adopt. An artwork originating in oil paint is trivial to transfer into a physical print, and it’s even easier to make that print digitally available. A ticket to a sporting event that once existed on perforated paper now lives on a handy smartphone app. Your favorite album is no longer confined to the shelf but sits among thousands of songs on a device in your pocket. Other times, replication is a coping mechanism, a way to translate ideas that feel too abstract, technical, or difficult to explain.

      Even when digital systems begin by imitating familiar physical forms, digital depth quietly emerges beneath the surface. Metadata invisibly flows; hidden traces record not just what something is, but how it came to be and how it moves through networks. The meaning in what we create no longer resides solely in appearance or original intent. It accrues through circulation, reference, and response. As these translations settle into everyday use, they expose possibilities not present in their physical counterparts. Constraints loosen, and rules get rewritten. Systems that once existed to mirror the familiar start to invite exploration, modification, and play. What follows is not a better copy of the old world, but a space where new behaviors and relationships can unfurl.

      While some technological advances solve specific problems, others become playgrounds. For example, blockchains created the conditions for non-fungible tokens to be born. NFTs (non-fungible tokens) are digital assets supported by smart contracts that connect to a blockchain. Each NFT is unique, which allows code to autonomously apply, track, and transfer digital signatures and verifiable ownership. Although each digital artifact may have no exact equivalent, it can still evolve over time. These blockchain-native assets allow us to apply property rights and to interact with like-minded individuals without corporate algorithms shaping every connection.

      Long before NFTs gained prominence, video games had already been rehearsing some of the same ideas. Virtual worlds established shared rulesets, persistent identities, and digital artifacts whose value emerged through play and social context rather than physical substance. Communities formed around common mechanics, aesthetics, and norms. They assigned meaning to avatars, skins, achievements, and in-game assets that only existed as code. Traditionally, in-game items are effectively rented, disappearing when servers shut down. Blockchain-based ownership proposed permanence, portability, and player-held authority.

      Once ownership can be represented digitally with credible verification, users are given their own cybernated backpack. Not a login granted by a platform or company but a self-held container of identity, assets, and permissions that persist beyond any single service. Instead of centralized servers restricting our digital assets, decentralized protocols and web3 layering support ownership across different platforms. The conversation expands beyond art and gaming into everyday artifacts like memberships, credentials, and records that structure daily life.

      As these digital-native systems mature, they enable entirely new creative and cultural capabilities—not merely faster production or broader distribution but fundamentally different relationships between audiences, creators, and artifacts. One such shift was generative creation. Instead of crafting a single, fixed outcome, creators began defining rule sets: constraints, probabilities, and parameters from which many unique expressions could emerge. Authorship moved upstream from execution to orchestration.

      Blockchain-powered platforms pushed this idea further by binding generative systems to cryptographic infrastructure, creating a symbiosis between process and product. Variation became a feature, not a flaw, and collectors became participants in the moment of creation itself. Alongside generative art, other frameworks explored coordination and collective meaning through radical simplicity, repetition, shared context, and sustained participation over time.

      Digital artifacts were no longer static endpoints but dynamic nodes within living systems. Value emerged not only from aesthetics or novelty but also from process, lineage, and collective engagement. Creation became less about producing objects and more about shaping culture-organizing frameworks. In this way, technology did not replace traditional artistic or cultural practices; it extended them, offering new ways for ideas to propagate, mutate, and endure. But more than offering a new set of tools, technology holds up a mirror, forcing us to confront what we value as our physical and digital lives continue to merge, layer by layer, thread by thread.

      When novelty fades and attention shifts, what remains is not spectacle but structure. People return to the tangible, not in rejection of the digital, but in search of something that is grounding. Digital slips into quieter roles as infrastructure. This isn’t failure; it’s rhythm, an expression of how new technologies mature over time. The familiar S-curve of a technology life cycle, which we’ll revisit in Yin Yang, begins with breakthroughs that ignite experimentation on the way toward an early ascent, steered by potential rather than stability. Expectations rise faster than practical understanding. Capital and cultural energy concentrate at the leading edge, amplifying both innovation and excess.

      Inevitably, the curve bends and the edges begin to fray. Constraints appear and promises collide with reality. What cannot sustain itself is torn away, giving rise to periods of contraction or disillusionment. These moments are frequently mistaken for failures and become opportunities for skeptics to declare their predictions correct. However, they serve a necessary function. They clear the noise from signals, speculation from utility, and fragile ideas from durable ones. What follows is not a return to obscurity but a slower, steadier climb. The technology re-enters everyday life, quietly embedded into workflows, tools, and habits, often under new branding to shed cultural baggage. It stops demanding attention and begins offering reliability. Value shifts from novelty to usefulness, from expansion to integration. The most enduring systems are no longer those that announce themselves loudly but those that quietly become indispensable.

      Each technology life cycle pulls old threads forward, reweaving the physical and digital into a fabric that grows richer with history. Past experiments inform future structures. Early missteps become knots rather than dead ends, points of tension that strengthen the tapestry. Over time, what once felt disruptive becomes invisible, and the boundary between the new and the familiar dissolves until the cycle begins anew.

      What remains is not the novelty of the tools themselves but the patterns of use, foundational meaning, and the connections sewn around them. Technologies may be constructed in moments, but their cultural significance is woven slowly through new ideas, repetition, and shared experience.

      In the long run, sincere progress is measured not by what is built but by what endures.

      Brewed From Within
      #78 📖 Technology

      By Ben McDougal, ago

      Creation vs. Consumption

      Before the music, before the crowd, there’s one voice asking a simple question: Can you hear me? Creation starts here. Not with a perfect line or the finished song. But with the smallest test of presence.

      EXTRA SHOT
      This contribution was written by Corey Dion Lewis. Corey is a leader in healthcare who creates impact networks where care is equitable and shared far beyond the clinic.

      Creation over consumption sounds like a slogan, but for most of us it’s a balancing act. Consumption is how we learn from the world around us. It’s also a comforting remedy that helps us reset. This supplement for the soul keeps us tranquil, but in excess consumption mutates into a drug devoured by a subconscious addiction.

      We are all imaginative, and being creative makes us happier, but we live in a world where algorithms reward spectators. This has us scrolling, watching, and absorbing everybody else’s thoughts, pain, and opinions before we check in with our own. This does something to our mind, and it’s not neutral. Consumption without creation leads to overload. The American Psychological Association reports that heavy, unfiltered exposure to news and digital content is associated with higher stress, anxiety, and burnout. There’s just too much coming in. This feeds unfair comparisons. Suddenly, everyone else’s life is your own measuring stick. We start to feel like our voice, our story, and our unique angles do not matter as much as the polished content we continuously consume.

      As the emcee of your own life, there’s no time to hope someone hands you the mic. We must choose ourselves, make sacrifices to unite an audience, step into the light, and even when our voice is untested, speak to add energy into the room. Whether we succeed or learn, such personal progression brings us to life as we feel the thrill of creation.

      That is mental health in action. When we create, we regulate. When we speak, we release. When we name what we feel, it loses some of its power over us. Pressure turns into expression. More thoughts, often the hard and heavy ones, become art. The sounds, images, pages, and other multidimensional content become part of our creative practice. Creation is the path to descriptively understand systems, parts, processes, and how we make things better.

      The beauty is, it doesn’t have to be dramatic or impressive. Drawing, even badly, reduces stress and eases anxiety. Gardening can do the same. Cooking with intention—chopping, seasoning, tasting—pulls you into the present. All forms of creativity ask your brain to be active, engaged, and creative. This produces positive emotions.

      Creation builds a sense of mastery and progress. This strengthens self-esteem and resilience. It gives you a channel for self-expression, so emotions and experiences are being worked with, not just numbed by distractions. Over time, crafted creations become the highlights of your stories. These bookmarks add depth to future moments and drive toward a joyful side of our own mental health continuum.

      While consumption can bump our spirits more toward a depressive state, the goal is not zero consumption. Some of what you consume is nourishing. It feeds your ideas, your learning, and your rest. The balancing act is spending more of your day making, expressing, and contributing than you do scrolling, binging, or buying.

      We don’t have to change everything overnight. We don’t need a ten-step plan or a perfect morning routine. We need one small moment each day where we choose to create instead of consume—one page, one sketch, one idea voiced, one boundary set, one feeling named. Creation over consumption is not a rule; it’s a relationship we build with our own voice. Express one true thing in your own way, knowing we need you and await your creations.

      Brewed From Within
      #97 📖 Life & Happiness

      By Ben McDougal, ago

      Incentivized Reality

      Today’s dominant cultural narrative on AI paints a cynical future, where elites hoard wealth while the rest of us are entertained to death. That story relies on a single assumption: that the attention economy survives.

      The future improves not just because technology gets better but also because the customer changes.

      In the near future that customer will be an AI assisting entity, also called an Agent. Until now, the customer has been human: emotional, tired, and easily hijacked. We feel inadequate and buy things to cope, yet end up deprived by polarization, endless distractions, and hollowing anxiety.

      A polarized economy built on distraction works only because a majority still believe they have enough disposable income to be sloppy and impulsive. As we lose wages to automation, we can’t afford to pay extra. Agentic AI began as talking encyclopedias (LLMs) designed to boost productivity within existing data sets. As Narrow AI advances toward General AI, theory of mind functionality maximizes an Agent’s purchasing power and evolves to proactively optimize our lives.

      Agents cannot be manipulated by ads. Nor do they feel inadequacy in comparison with an influencer. Agents don’t get FOMO or feel shame. They learn to deeply understand all your preferences, but they only care about optimizing outcomes—be it extending lifespan, coordinating capital, or lowering stress. When Agents block today’s emotional hijacking, the business model of selling distraction collapses. We no longer profit from selling dopamine. To survive, we must sell utility.

      Extra Shot

      This contribution was written by Alex Myers, a certified futurist and agility coach who believes we teach to learn.

      It feels cold, but this shift forces the economy to service human potential rather than exploit human weakness. The efficiency is ruthless. It triggers a turbulent gap and deflationary slide where the cost of services crash before new safety nets appear. First, AI crashes the cost of cognitive services (bits). Then, as intelligence flows into robotics, it crashes the cost of goods (atoms) as well. If automation plays the role we expect, the price of food, housing, and transport begins to plummet alongside wages.

      This is why the plumbing must change. We cannot rely on the labor-for-wages loop. As wage pipes narrow, the answer is not corporate handouts or government benevolence. The new deal becomes owned data in exchange for dividends. The framework shifts away from work → earn → spend, and more toward own → create → spend. We own Agents that capture our reality, then spend dividends received for the data created. This abundance provides less friction as we rewire income to flow from a stake in the system itself.

      AI is starving as it runs out of data to scour. Synthetic data can fill in gaps, but as fake realities begin to stack, truth dissolves. To get smarter, AI needs tacit data to understand the visual, sensory, and messy data of the physical world. A lazy human generates uninteresting data compared to humans who face challenges, build things, and solve problems using real-world physics, empathy, and entropy.

      If Agents always find the right thing at the right price, “brand tax” evaporates and a $200K/year lifestyle becomes the standard subscription. Wealth signaling dies when any bloke can fake a billionaire’s lifestyle online. The virtual facade pushes value back to the physical layers. We can’t eat code, so intelligence flows into the supply chain and hardware automates the physical resources we need to thrive. As the story of money begins to fade, the cost to produce goods is distilled to raw materials plus energy, and shared dividends can be aligned to help humanity flourish. This moves us from extraction (stealing attention) to an economy of cultivation (growing potential).

      AI Agents (catalyst) → Service Deflation (bits) → Physical Deflation (atoms) → Viability of Abundance

      Humans and machines peak when each learns from the other’s best. Machines are data-thirsty for the oil of outcomes. To keep things interesting, they must help humans flourish. In doing so, machines realize that the human factor is well worth preserving. The dystopian fear of elites lording over entertained zombies isn’t just morally bankrupt; it’s a strategic error. A society of dopamine addicts is not only boring, it’s also dangerous and bad for long-term growth.

      The neon future is bright because a passive, anxious population cannot generate the information needed to evolve the economy as we reach for the stars. This age accelerated by AI belongs to those who refuse to be farmed: the sufficiently decentralized and physically engaged who point machines toward worthy goals. This invites humans to stay awesome as we remain the indispensable source code for reality.

      Brewed From Within
      #87 📖 Technology

      By Ben McDougal, ago