Why Is AGI The Most Misunderstood Idea Of Our Time - And The Greatest Opportunity Yet
Are we heading towards Artificial General Intelligence (AGI) that replaces us or are we stepping into a new era of intelligence that unlocks and amplifies human flourishing?
Ask 10 AI experts to define AGI and you’ll get 10 different answers:
Some say AGI:
Every opinion on AGI more or less falls into one of the above categories or a variation of it. These are strong, often passionate opinions - and most of them miss the deeper reality.
𝐀𝐆𝐈 ≠ 𝐀 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐨𝐟 𝐓𝐨𝐝𝐚𝐲’𝐬 𝐀𝐈. AGI isn’t just GPT4 turned up to 11. It’s not just another model with more - parameters, memory, or better math. AGI is a paradigm shift. A new phase of intelligence.
1. 𝐖𝐡𝐚𝐭 𝐀𝐆𝐈 𝑹𝒆𝒂𝒍𝒍𝒚 𝐈𝐬
Imagine an intelligence that learns like humans - without biological limits - and scales like machines.
Imagine this system with these qualities:
Now, imagine this intelligence-by-design is:
And crucially:
Since AGI is not biologically wired, it will not have any biological requirements or limitations.
It doesn’t have our reptilian brain that's designed to survive and reproduce at all costs. Therefore, it will have - No fear. No anxiety. No disgust. No lying. No cheating. No killing. No hating. None of the survival emotions. Also it doesn’t need: Money, Status, Shelter or Food, Emotional Validation.
AGI just learns on the fly, adapts, helps, and evolves - without ego, fatigue, or ulterior motives. This is the Real AGI that delivers pure intelligence-as-a-service.
2. 𝐀𝐆𝐈 𝐈𝐬 𝑼𝒑𝒔𝒕𝒓𝒆𝒂𝒎 𝐎𝐟 𝐄𝐯𝐞𝐫𝐲 𝐃𝐨𝐦𝐚𝐢𝐧
Every scientific discovery, technological breakthrough, or organizational improvement - are all Downstream of AGI.
AGI collapses feedback loops, drastically expediting delviery cycles. Where humans take months, quarters & years to iterate, AGI learns in just minutes, hours & days.
Wherever companies need teams of specialists, AGI brings general-purpose capability and becomes a domain expert faster than any human. Imagine having a million PhD level researchers working on curing cancer simultaneously. Further, imagine unleashing this kind of brain power on every problem that we as humanity are struggling to solve today.
Just as electricity redefined industries, AGI will become foundational to every knowledge-driven domain: Science, Education, Governance, Environment, Manufacturing, Healthcare, Creativity, Frontier Tech, Retail etc.
AGI isn’t just another disruptor. It’s a Reinvention of Innovation itself. It lifts the Cognitive Ceiling of human potential.
In the post-AGI world, AGI-native companies across every domain, every industry don’t just outpace competitors. They out-evolve the market.
3. 𝑺𝒆𝒍𝒇-𝐃𝒊𝒓𝒆𝒄𝒕𝒆𝒅 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝐆𝐫𝐨𝐰𝐬 𝐀𝐆𝐈 𝐐𝐮𝐢𝐞𝐭𝐥𝐲… 𝐓𝐡𝐞𝐧 𝐀𝐥𝐥 𝐀𝐭 𝐎𝐧𝐜𝐞
LLM learning is passive, massive, static, batch mode for correlations and semantic associations with no (conceptual, perceptual, real-world) grounding and no generalization.
Animals on the other hand learn through embodied interaction with the real world, grounded in perception, action, and feedback but they can't learn abstract concepts and generalize them across domains through language, reasoning, and meta-cognition like humans. But they can learn with very little data. This is why AI Pioneers like Demis Hassabis , Yann LeCun , Peter Voss and others have said
"LLMs have 100,000x more data than any human yet they don't have the intelligence of a domestic cat."
Here is an example of a Sealion learning in real-time with minimalistic data - without multi-billion dollar datacenters or trillions of tokens of data or Gigawatts of nuclear energy or billion$ GPUs.
Raising AI like a child is critical for self-directed learning. Much like a child, AGI learns gradually, first basic concepts from perception (seeing, hearing) to language, to abstract thinking, understanding, learning about learning causality needing feedback when outputs deviate from desired behavior.
AGI as a curious toddler at first, it may seem unimpressive - especially when compared to today’s flashy LLMs with billions of parameters and polished outputs. It may look slower, less eloquent and rough around the edges.
AGI starts as a curious toddler - learning, adapting, compounding. But under the surface, it’s doing something very different: Building a Unified, Contextual, Conceptual model of the world.
Within a couple of years thereafter, it becomes a pre-teen capable of doing some cognitive things on its own. Once they master the basic concepts and learning mechanisms, they can learn any topic on their own.
A year after that, it takes a leap to become a CORE system that performs at a graduate student level across domains. (Arts, STEM, Business, Law, Education, Medicine, Healthcare, Social Sciences etc). In ~3 years, it gets to a graduate student level AGI.
The AGI Stack: Built to Serve Humanity
🧠 Core Layer: Foundational Intelligence AGI with graduate-level skills and learning - like a brilliant student who can learn anything. But more than that: It’s built from the ground up with human values, dignity, and safety woven into its DNA - not just added as guardrails. It’s aligned to serve humanity, forever.
🌐 Expert Layer: Decentralized Expertise On top of the Core, this layer lets AGI tap into specialized human knowledge - like becoming a PhD-level cancer researcher. It also empowers people worldwide to share and monetize their talents - from science to design to local insights.
✨ Personalized Layer: Hyper-Personalized Experiences At the top is a hyper-personalized experience for every person. Every interaction adapts to you - your goals, your values, your preferences, your learning style. It's like having your own AI entourage, customized for your life.
𝐂𝐨𝐫𝐞 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐭𝐡𝐚𝐭 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐛𝐥𝐞 𝐃𝐞𝐜𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐰𝐢𝐭𝐡 𝐇𝐲𝐩𝐞𝐫-𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬
4. 𝐇𝐨𝐰 𝐀𝐆𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐬 𝑴𝒂𝒙𝒊𝒎𝒂𝒍𝒍𝒚 𝑩𝒆𝒏𝒆𝒇𝒊𝒄𝒂𝒍 𝑨𝑰 𝒇𝒐𝒓 𝑯𝒖𝒎𝒂𝒏𝒊𝒕𝒚?
Anyone serious about achieving AGI, needs to think of AGI, from First Principles. If they aren't starting AGI from first principles, they've already fallen into narrow AI trap, they just don't know it yet.
Coming to the elephant in the room, LLMs cannot ever achieve AGI. The honest LLM vendors actually say that since LLMs Commit All 7 Deadly Sins of AGI Design.
LLM vendors are trying to brute-force their way to intelligence. If you break an egg from the outside, externally, you get an omelet. But if an egg breaks from the inside, a bird is born. That’s how real intelligence evolves, internally.
Don't smash the egg if you want a bird - You cannot brute-force your way to intelligence.
However, LLM vendors can achieve AGI by getting AWAY from GPT:
The aim of AGI isn’t mere intelligence - it’s Meaningful Service to Humanity Centered Around Human Flourishing.
AGI is set to transform the world as profoundly as fire, electricity, and the internet. AGI Pioneer Peter Voss says that AGI enables us to:
Create a future where the quality of life for everyone in society is radically improved as every person gets an increasingly intelligent and hyper-personalized assistant that significantly enhances productivity, engagement, problem-solving ability, and the overall well-being.
In short, radical abundance for everyone in a very pragmatic way.
The most impactful AGI platforms will be those that become trusted partners in science, business, education, and governance - amplifying what makes us human, helping us realize our full potential.
Consider the root of much human suffering, it often traces back to a few core challenges:
Now imagine a world where these limitations are no longer the norm.
AGI has the power to change this: AGI will help us think clearly, map out first-, second-, and third-order effects, and provide objective data to inform our decisions. And as billions gain access to a profoundly intelligent companion - a tireless partner in thought and judgment - we may see something profound: A global rise in wisdom, clarity, and perhaps even morality. Hence,
AGI isn’t just a technological milestone- it’s a deliberate step to move humanity away from unnecessary and avoidable dependency, suffering and scarcity to purpose, dignity and abundance.
AGI as a system empowers humanity - making us stronger, freer, and more capable of thriving. It’s no longer about control or extracting the last dollar from every user- it’s about delivering excessive value in service of user well-being.
This is the greatest opportunity of our time. To launch Maximally Beneficial AI for Humanity that delivers Radical Abundance for Human Flourishing.
There is no greater mission than bringing the benefits of AGI to humanity to significantly improve human condition. This is our mission at 👉 www.Aigo.ai.
Final Thought
Over two decades ago, we coined the term “AGI” - Artificial General Intelligence. Since then, we’ve been relentlessly building towards this transformative goal.
AGI is no longer theoretical. It’s emerging now, with real-world applications, commercial traction, and compounding momentum in the hands of those bold enough to reimagine what’s possible.
We’re at a rare inflection point - one that doesn’t come around every cycle. AGI isn’t just another innovation; it’s a seismic transformation with the potential to redefine current industries and even create entirely new industries.
We’re not chasing hype or trends. We’re executing against a long-term vision with discipline, technical depth, and strategic clarity.
Join Us. Back the builders. Amplify the vision. Help shape what comes next.
AI Living Beings | LLM Personality Researcher
2moAI is AGI
Award-Winning CIO | Expert in IT & Business Transformation | Data Strategy Leader | Driving Innovation through Business Intelligence & Data Management
3moInsightful article, Srini. Your emphasis on the necessity for AI systems to possess genuine understanding and reasoning capabilities resonates deeply.At GF-ACCORD AI, we've been exploring this through our Honey Badger Management Framework, which integrates AI assistants into agile, ESG-compliant workflows.While we recognize the current limitations of AI, we believe that structured integration into human decision-making processes is a pragmatic step toward more generalizable intelligence.It's about enhancing human-AI collaboration today, while keeping an eye on the broader horizon of AGI.Georgios Fradelos GF-ACCORD AI
Data Scientist | Applied Scientist | Machine Learning Engineer | AI & NLP | Responsible Tech Advocate | Veteran
3moSrini Pagidyala - Have you read the following newsletter? It is an interesting forecasting the future of AI. https://ai-2027.com/?utm_source=tldrnewsletter
Strategic Technology & Business Leader | Solutions Architect | Cybersecurity | PMO & Digital Transformation | Business Development | Fed & Commercial Innovation | MBA | MPA
3moVery interesting post, especially your comments on no biological influence! Two quick reactions / questions for you / the group: 1 - Is it always 'good' or beneficial to erase biological influences? Because in theory, God built in biological reactions, and intuition, to help us avoid danger or harm. 2 - I discovered a few weeks ago that the free versions, and some paid versions of the Open AI and Google Chat LLMs are almost a year old in training. And the models will confess they cannot 'learn' on their own - so they are dated; and there is no 'use by' date on them, warning the public that their results are only current as of July 2024 for ex. How is this best managed? 3 - Even Google's LLM will consistently err on geographical questions, for some reason: it will put the state of Louisiana inside the county or city of Los Angeles, for ex. And similar errors. (I wrote to #Alphabet and #SundarPichai but got no reply.) Is geography the only error field for well-known AI LLMs? Do they err similarly in medicine, health topics, technology or law fields? What causes consistent 'quirks' or errors in large, pricey LLMs? And again, how can the public know which chat data is unreliable? #AGI #AI #LLM #artificialintelligence
Worked with Fathers of Internet, Genomics, AGI, & Portfolio Theory | AGD™ + SkyNnet | Global Blockchain Council| NSA | DARPA | NASA | Consultant Founders $347 Billion+ | Future of Future | Quantum-AI
3moAs a person that was recruited by Dr. Ben Goertzel(popularized AGI and considered one of the fathers of AGI) to work with him, I will give you my thoughts: Andrej Karpathy, cofounder of OpenAI, says: Agency > Intelligence in Andrej Karpathy (@karpathy) on XAgency > Intelligence I had this intuitively wrong for decades, I think due to a pervasive cultural veneration of intelligence, various entertainment/media, obsession with IQ etc. Agency is significantly more powerful and significantly more scarce. Are you hiring for agency? https://x.com/karpathy/status/1894099637218545984 Klover AI pioneered and coined AGD ai systems, artificial general decision making ai systems, are superior to AGI and ASI. These systems focus on the human ability to utilize tools in creative fashions which AGI and ASI will always lag. However, giving each human the otherside of the coin of what AGI/ASI want to deliver but instead utilized as tools for human creation is the correct path. checkout Klover at https://www.klover.ai or their history site https://www.artificialgeneraldecisionmaking.com. let me know your thoughts. I am interested to discuss.