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

Septenary

AI is often thought of as a singular technology. This blanket assumption makes it impossible to compare the capabilities and functionalities that differ between the seven different types of artificial intelligence.

The seven types of AI are organized into two groups. The first group is based on capability and includes Narrow AI, General AI, and Super AI. The second group is based on functionality and includes Reactive Machine AI, Limited Memory AI, Theory of Mind AI, and Self-Aware AI.

Capabilities are determined by what different types of AI are able to accomplish. The three types of AI categorized by capabilities are Narrow AI, General AI, and Super AI. Here’s a rundown to leverage what’s possible today, while staying mindful of what may be possible tomorrow.

Narrow AI <realized>

AI trained from existing data, with compute geared to do one thing really well. While data sets are vast, this type of AI can not go beyond the data sets it is tied to. As of 2026, Narrow AI is the only type of AI that is fully realized within the three types of AI categorized by capabilities. Examples of Narrow AI include language translators, game-playing programs, spam filters, recommendation engines, voice assistants, facial recognition, self-driving vehicles, and robots with specific tasks. Generative AI also falls within this type of AI, which seems odd. The mashups of generated text, images, video, and sound seem to be random, but are still constraints by existing data sets. Neural networks, optimized data sets, computer vision, and machine learning make the capabilities of Narrow AI remarkable, but limited by the data it has to munch.

General AI <theorized>

This advancing realm of AI leverage existing data like Narrow AI, but can reason beyond those constraints. The transfer of intelligence, with no human intervention, makes the race to General AI (also called AGI) intense. When AI can make decisions based on an advancing state of its own understanding, the limit of this AI’s capabilities become unknown. Theories set the potential limit around that of a human. Agentic AI hints at AGI with decision making and interdisciplinary task management, but lacks the emotional traits, planning, and other methods of generalization that will define the capabilities of General AI. Other potential examples include all-new content creation, robots that can learn new tricks. As the theories of AGI become realized, ethics, regulation, and a determination of consciousness will be moving targets to navigate. The breeding speed of AGI may release points of no return, which makes it critical to understand and debate opening to ensure a new species is copacetic.

Super AI <theorized>

Welcome to when AI becomes it’s own species. Concern triggers due to the finite resources of Earth, but when AI surpasses the capabilities of humankind, dust from the deep future will already be everywhere. Multi-planetary travel will be underway, climate problems will be solved, and life extension will be supported by Super AI. Singularity is theorized to push the functionalities of Self-Aware AI and the capabilities of Super AI beyond humanity’s control. This means the time to plan ahead is now. As the minds of machines are wired, it’s crucial to collectively consider the heart and soul we build into technology. This will guide discovery with an excellence that came before it.

AI based on functionality is less about power and more about how things works. Reactive Machine AI, Limited Memory AI, Theory of Mind AI, and Self-Aware AI are the types of AI classified by their functionalities.

Reactive Machine AI <realized>

This is old school AI. Rooted in statistical math, Reactive Machine AI arrived soon after the programmable computer was developed. There is no adaptive learning here, but the speed at which it can calculate a vast amount of data makes the performance seem intelligent. The functionalities of Reactive Machine AI drives more primitive examples of Narrow AI, such as recommendation engines and game-playing programs. This type of AI provides a static base, but with no memory and only a focus on specific tasks, attention quickly shifts toward functionalities that have more adaptive characteristics.

Limited Memory AI <realized>

This type of AI learns and evolves. Functionalities of Limited Memory AI are still constrained by the existing data it was trained with, but world-changing advancements have been seen in machine learning, large language models (LLMs), generative AI tools, multimodality, computer vision, and self-driving vehicles. The realization of Limited Memory AI has Narrow AI pushing it’s full potential.

Theory of Mind AI <theorized>

Here we combine existing data, an adaptive ability to learn, and an emotional willingness to think. Enhanced reasoning, multimodality, customizability, adaptive computing, and user-driven functionalities bring General AI (AGI) to life. Theory of Mind AI embraces emotions and understands how we think. This type of AI will add personality to humanoid robots and support reliable relationships by combining digital depth to the realities of our world. As lines blur between humans and machines, compute will remain a currency, efficiency will skyrocket, and a new era of life on earth will begin.

Self-Aware AI <theorized>

It’s hard to define consciousness, but true self-awareness exemplifies this type of AI. Along with understanding how we think, Super AI will own emotions, hold beliefs, and is theorized to support the functionalities of Super AI.

Understanding the seven types of AI helps leaders leverage the perks of technology now and later. Our willingness to lift the fog helps avoid a fear in the unknown and while resisting technology is a choice, it’s one that may put you behind innovation curves. Hybrids add artificial co-pilots, but remain assertive and budget resources knowing we are the pulchritudinous architects of our own neon future.

By Ben McDougal, ago

Aunt Julie

Julie McDougal shares a chat before she retired from IBM. Can you imagine being at IBM for over 35 years?! The featured guest in EP47 has lived on the edge of technology her entire career! Julie worked within the culture and this fun episode is a glance at how she united others. As you’ll hear, Julie is also Ben’s aunt. Fun! Cheers to everyone at IBM and cheers to a long, interesting, and impactful career. Happy retirement, Aunt Julie!

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By Ben McDougal, ago