Septenary

Conversationalized

Humans have long used technology to communicate. As we taught machines to see, learn, speak, and move, computers were invited into the conversation.

ChatUX is technology that helps computers speak our language with a conversational experience supported by deep learning and large language models (LLMs). ChatUX makes AI easier to enjoy with a potential for accurate, unbiased, and meaningful interactions. This allows the seven types of AI to be so much more than pointless help desks, deceptive lead generators, misleading content, or fake followers on social media. Instead, the objective is to access endless insight with an ability to translate it effectively.

When upgraded this way, ChatUX bridges trust channels to personalize education, enhance business efficiencies, assist customers with empathy, deliver meaningful mental health therapy, and make past tasks irrelevant, all while parlaying multimodality so anyone can effectively express ideas.

As the way we communicate evolves, improvements geared for safety and customizability will keep technology in the conversation. The freedom of speech is a complex topic, but thoughtful guardrails that identify dangerous rhetoric help to keep everyone safe without unwanted censorship. Alongside responsible policymaking, influence layers help to customize ChatUX. This can add depth to personalize an interaction or to provide internal teams with a more reliable source of truth.

With technology conversationalized, prompt engineering became an evolving professional field of reconstructing inputs to optimize outputs. The demand for a brand-new mode of communication reminds us that real skills are required to remain relevant. Fortunately, when it comes to technology, an increased effort here often decreases effort there. In this case, learning to communicate with technology may require new resources, but ChatUX bolsters a paradigm shift where access to knowledge becomes pedestrian.

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When the cost of information is zero, willpower becomes a path to wealth.

We prepare our children with communication skills while instilling kindness, honesty, empathy, integrity, and so much more. From the words we use to the interactions we share, positive traits can be ingrained into technology for good.

Brewed From Within
#81 đź“– Technology

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 what’s possible today and 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 cannot 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, spam filters, recommendation engines, voice assistants, facial recognition, self-driving vehicles, and task-focused robots. Generative AI also falls within this type of AI. The mashups of generated text, images, video, and sound appear 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 leverages 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 to 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 signals include synthetic content creation and autonomous robots that can learn new tricks. As the theories of AGI become realized, ethics, regulation, and a determination of consciousness will be moving targets. The breeding speed of AGI may release points of no return, which makes it critical to understand and debate openly to ensure a new species is copacetic.

Super AI <theorized>

Welcome to when AI becomes its own species. This triggers concern 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. That 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 work. 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 computer was developed. There is no adaptive learning here, but the speed at which it can calculate data makes the performance seem intelligent. The functionalities of Reactive Machine AI drive 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 a focus only on specific tasks, attention 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 its 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, adaptive 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 of the unknown, and while resisting technology is a choice, it’s one that may put you behind innovation curves. Hybrids add artificial copilots but remain assertive and budget resources, knowing we are the pulchritudinous architects of our own neon future.

Brewed From Within
#81 đź“– Technology

By Ben McDougal, ago

Munch Munch

Computer science, the global datasphere, machine learning, computer vision, and language modeling have embedded artificial intelligence (AI) into every conversation. Machines have long used human logic to automate routines, and AI is not new, but this form of knowledge engineering was transformed as compute was enriched, storage became boundless, and AI learned to speak human. We may not have invented a new species (yet), but language modeling taught our digital counterparts how to articulate what it already knew, and conversationalized AI made science fiction real for everyone all at once.

Anytime 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. We may not be able to depend on clocking in to climb a ladder built on compliance, but this willingness to play it safe has long been a choice that makes anyone easy to replace with cheaper labor and faster tools. This advancing technology reduces the need for humans to turn knobs, but the efficiency will create new jobs and reward remarkability. When clever counts, remain indispensable by letting AI devour the dull and stay ahead by pulling the levers of ingenuity.

History teaches us that any frontier introduces opportunity, but the void that creates also attracts misunderstandings, dangers, and false realities. As we explore frontiers, be vigilant and don’t assume truth. When every business pitches innovative metamorphosis and everything is “powered by AI,” realism is easy to dilute within the noise. Transcend hype by tinkering with internal tools. Reward continuous execution and keep exploring in and outside your industry. This forms wisdom to reinforce more external interplay.

Futuristic forefronts will remain intimidating, especially when cultural changes occur in a sweeping way. This makes it easy to feel forgotten. When this sensation intensifies, avoid being left behind by taking action before you know the destination. Fresh knowledge may be required to lower the bar, but for leaders who use curiosity to stay prolific, it becomes impossible to compete with being you!

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BEN BOT went online April 1st, 2023. The Roasted Reflections NFT Collection would allow token-owning dollowers to connect with each other and 24/7 access to our conversational AI that provided BENergy in its replies and link to influence source. Later, it would even quietly co-host 100 episodes of You Don’t Need This Podcast!

Let AI munch on the mediocre. We’ll continue to build without a map, do things for the love of it, convert haters, and care enough to fail. In times of constant change, we obliterate fear and complacency with infinite dexterity and a devotion to keep leading with no permission required.

Brewed From Within
#80 đź“– Technology

By Ben McDougal, ago