Robotics

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 current attention economy survives.

The future improves not just because technology gets better, but because the customer changes. In the near future, that customer is 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, but end up deprived by polarization, endless distractions, and hollowing anxiety.

A polarized economy built on distraction only works 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 capabilities of Narrow AI advanced 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 compared to an influencer. Agents don’t get FOMO or feel shame. They learn to deeply understand all your preferences, but 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 by selling dopamine. To survive, we must sell utility.

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 provides abundance with less friction as we rewire income to flow from a stake in the system itself.

Extra Shot

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

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 an economy of 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 a planet of entertained zombies isn’t just morally bankrupt; it’s a strategic error. A population of dopamine addicts is not just boring, but 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. Let’s stay awesome and remain the indispensable source code for reality.

By Ben McDougal, ago

Propulsive

Technology is an accelerant. At increased speeds, conflict happens and any direction becomes arduous to command.

Welcoming the confluence of humans and machines reduces the gap between human potential and artificial intelligence. Positive intent with ethics at the forefront of progress may help avoid an imbalance, but there’s still no guarantee that comes with our trust in technology.

This means we must remain inquisitive. Pushing elephants into the room encourages critical thinking, invites problem-solving, and provokes new perspectives. Complacency leaves room for degraded integrity, so here are a few brain teasers to help us rise above cliché conversations.

  • What is worth sacrificing to achieve progress?
  • A single AI prompt uses roughly the same energy as running a light bulb for 15 minutes. Adaptive computing, alternative energy, and other bridges to tomorrow will support more efficient interactions, but how might careless consumption impact long-term sustainability?
  • Might unlimited access lead everything to be mediocre?
  • With an answer always available, how can we celebrate experiential wisdom to maintain a willingness to learn?
  • Will enhanced productivity make humans lazy?
  • How is time spent when tasks are no longer a concern?
    • How do humans avoid isolation when technology makes perceived connection effortless?
    • If the Internet is dominated by AI-generated content, might the overwhelming slop tempt exhausted humans to hibernate? As disconnected vaults form, will the beauty of collaboration and our connected era be lost?
    • Could the story of money ever get old?
    • Do we really care about privacy or is it that we just never like feeling surprised or exploited?

      The ethical aspects of technology can feel like a drag. Unfortunately, the ease of overlooking short-term issues usually leads to long-term problems.

      To find an equilibrium with artificial counterparts, elevate what we’re good at and do the same with technology, but slow down to avoid irreversible damage. As we align answers together, trust in a shared direction celebrates limitless diversity, while ensuring a future that respects the past and remains open to next.

      By Ben McDougal, ago

      Bridges to Tomorrow

      Limitations fade as boundaries are broken. If we can avoid extinction and continue building bridges to tomorrow, our relationship with time, nature, technology, and each other will uncork unknowns and light a path to our neon future.

      Robotics

      With AI in the brain and emotions that curate a personality, robots are advancing to go beyond isolated tasks. Cyborgs will turn knobs at work, with humanoids completing chores at home. With the mundane covered, the role of humans can shift toward leading whenever ingenuity is required. With full access to robotic efficiencies, economies will shift and the human touch will be even more luxurious. Leaders who welcome technology, yet never lose touch with the soul of their art, will be the hybrids who prevail.

      Biotech

      As technology interfaces with human biology, a bionic age will alter the laws of nature. When the electrical impulse from a thought is all that’s required to prompt action, the speed at which data can move is unfathomable. Brain-computer interfaces (BCIs) and other forms of neurotech are already treating disease and restoring movement by reconnecting the nervous systems. Most people don’t want to be first, but when might a routine doctor visit include individualized diagnostics and software updates to the nanotechnologies inside your body? When every cell has a microscopic computer connected to it, the resource consumption is diffused by DNA computing and the mysteries of health care are solved.

      Material Science

      The atomic levels of technology has already connected intelligence to so many things we interact with everyday. We see how the Internet of Things (IoT) adds digital depth to our physical world and as the cost and size of technology continues to shrink, the periodic table will be the playground. We already have materials used in roads that transfer the force of vehicles to batteries. The energy is stored and converts to energy used to light the street at night. This example of elemental exploration and creative recycling is only a flicker to the flame of alternative energies and improved storage methods that can quench our planet’s thirst for energy, while eliminating a dangerous dependency on limited resources. The universe provides everything we need. It’s up to us to squeeze improvements from elements that are waiting to arrive at their full potential.

      Quantum Computing

      When “or” becomes “and”, a bizarre world of duality is unveiled. The computing aspect within quantum mechanics uses quantum bits, or qubits, to solve complex problems with measured superpositions, entanglement, and interference. Dig in to learn more, but the superpositions found in quantum computing mimics complexity with simulations that include all possible solutions at once. This is not a more powerful, number crunching supercomputer. Quantum computers represent a whole new approach to harnessing the atomic and subatomic levels of physics. A scientific asset that eliminates secrets presents a mixed blessing. With the chemistry of life mapped, medicine may solve disease. Machine learning can be fully adorned and the universal potential of material science will be realized. At the same time, current cryptography and the encryption standards that provide security online is at risk. Increased checkpoints, biometric confirmation, photon distribution keys, and other post-quantum encryption standards are being tested to ensure the world is ready for hardware to keep qubits cold enough to unlock a world-changing partnership between classical and quantum computing.

      Life Extension

      Quantifying the cosmic depths of our own kind will give us ways to experience time in more profound ways. Instead of hoping to reverse the effects of aging, food, medicine, and augmented activities will engrain longevity from start to finish. When aging is countered over time, the human body may not hold up forever, but living more than 100 years will be normalized. As we live longer, how might agriculture, infrastructure, education, healthcare, economies, and our global climate adapt? Many who plan for this longevity will be primed to meet new demands in existing industries. The quixotic leaders will explore less obvious opportunities and convert unexpected challenges into new industries as well.

      Outer Space

      The cosmos make us feel small, yet limitless wonder helps us think big. As bionic humans and quantum computing improves material science, a robot-supported species can be multi-planetary. The origins of astronomy are prehistoric, but off-planet exploration began when machines first visited space in the 1940s, then humans in the 1960s. Scientific exploration led to a commercial space industry that has propelled an excursion throughout our solar system and beyond. Today, orbiting observatories are looking toward the origins of the universe, with life on Earth’s moon and Mars seemingly inevitable. As we interact further into the void, celestial frontiers can provide added stability for the human race and extend life on earth. Cosmic research, travel, communication, resources, manufacturing, logistics, and tourism must all be addressed by international leaders united by shared intentions, on behalf of all humankind.

      There are untold innovations not conceptualized yet, but these bridges to tomorrow all signal progress. Widespread adoption is never straightforward, but listening suspends belief and continuous steps forward can transcend invisible lines for us to work as one. This compounds potential as future generations pilot the world toward our neon future.

      By Ben McDougal, ago

      Munch Munch

      By connecting the global datasphere with computer vision, machine learning, and language modeling, computer science has paved the way for artificial intelligence.

      Machines have long used human logic to automate routine and AI is not new, so why has this form of knowledge engineering earned so much attention lately? It’s because AI has learned to speak our language.

      Language modeling has taught our digital counterparts how to articulate what it already knows. Not in some robotic, 8-bit voice. AI is now conversational. For example, chatbots are informative, engaging, and entertaining humanoids, while generative AI uses neural networking to transform simple prompts into impressive visuals.

      When innovation threatens the status quo, a common response is fear followed by complacency. This is evident in the argument that AI will take all our jobs. Yes, advancing technology will continue to reduce the need for humans to turn knobs and here’s a 2023 Cornell University study on how large language models may impact labor markets. Gone are the days of clocking in on time and keeping your head down just long enough to climb a ladder built to resist change. The willingness to play it safe may extend a sense of temporary security, but this is a choice that makes you easy to replace with cheaper labor and faster tools. To remain indispensable, let AI dine on the dull, devour inefficiencies, and support our own ingenuity.

      Start a journey before you see the end. Knowledge is required, but for students, intrapreneurs, and entrepreneurs who stay creative, it’s impossible to compete with being you! As AI munches on mediocre, more of us are invited to build without a map. To make a ruckus with no permission required. To do something for the love of doing it and to care enough to fail.

      AI won’t take your job. People who use AI will. It’s a lousy time to be complacent and the perfect time to be creative.

      Extra Shot

      BEN BOT goes online April 1st.

      By Ben McDougal, ago