Friday, September 20, 2024

We're past AGI. It's ASI now.

The Dawn of Artificial Superintelligence: Harnessing the Human-AI Symbiosis

We've reached a pivotal moment in the realm of artificial intelligence. It's becoming increasingly evident that Artificial Superintelligence (ASI) is either just around the corner or might already exist behind closed doors. The rapid advancements we're witnessing aren't just incremental—they're monumental. The fact that researchers are now focusing on ironing out AI's "common sense" failures speaks volumes about how far we've come.

The Toddler Taking Giant Leaps

Consider this: the "real" variant of ChatGPT was introduced in November 2022. Initially, it operated at a grade-school level, handling basic queries and simple tasks. Fast forward to the recent 'o1' release, and we're seeing an AI that operates at a graduate student level, outperforming human experts in certain domains. This technological "toddler" isn't even two years old yet! It's genuinely baffling that some experts still claim significant breakthroughs are years away when evidence suggests they're happening right now.

A Brain Teaser and the Evolution of AI Reasoning

To illustrate the leap in AI capabilities, I posed a problem to various AI models across multiple releases:

Alan owes Bob $2. Bob owes Cindy $2. Cindy owes Alan $2. Only Bob has any money, and it's just $1. What sequence of events will pay everyone off, and where does the $1 end up?

Early versions from 2023 struggled with this question. They often didn't grasp the problem, and even with multiple hints—sometimes effectively giving away the answer—they couldn't solve it. The highest-rated version 4.0 still stumbled, requiring several attempts and prompts before arriving at the correct solution.

Enter the Orion preview 'o1'. Not only did it nail the question on the first try, but it also provided a perfect explanation of the solution and the reasoning behind it. What's even more astonishing is that this preview is a limited version, significantly less capable than the full model set to be released in a few weeks.

Thinking Inside and Outside the Box

What's truly remarkable about the AI's solution was its ability to reason both inside and outside the box. The AI not only found the expected answer but also offered an alternative solution that was arguably better given certain parameters. This dual approach showcases AI's evolving ability to explore conventional and unconventional pathways simultaneously.

One of the significant advantages of AI in problem-solving is its capacity to process vast amounts of information rapidly, trying out numerous patterns—both novel and traditional—to arrive at a solution. While AI models may sometimes make mistakes that attract criticism, these errors often stem from a lack of specific training data rather than an inherent limitation. It's not that the AI doesn't understand the parameters; it simply wasn't aware of them, much like a human before training. The corrective process is swift and scalable.

Unleashing the Power of Massive Infrastructure

But here's something that's often overlooked: the enormous hardware infrastructure powering these AI models. These systems are concurrently serving 600 million visits per month, handling countless small tasks seamlessly. Imagine applying just a sixth of that capacity—100 million visits worth—to a single large task. The potential outcome would be something far beyond human ability.

This immense processing power isn't just theoretical—it's a super capability that's either already in use or within our immediate reach. The ability to allocate such vast resources to complex problems means AI can tackle challenges at scales and speeds previously unimaginable.

The Symbiotic Relationship: Enhancing and Scaling AI

This brings us to an exciting frontier: leveraging the Human-AI symbiosis to achieve feats beyond the capability of either alone. Let's itemize the factors that enhance and scale AI:

  1. Enormous Hardware Infrastructure: The AI operates on vast computational resources, enabling it to process and analyze data at incredible speeds.

  2. Concurrent Processing: Serving millions of users simultaneously allows the AI to learn and adapt from a wide array of interactions.

  3. Scalability: The ability to allocate massive computational power to single tasks means tackling complex problems efficiently.

  4. Algorithmic Advancement: We have yet to fully explore the "killer strategy" of computer science—the algorithm. Optimizing algorithms will exponentially amplify AI capabilities.

  5. Human-AI Collaboration: Humans provide context, creativity, and ethical considerations, guiding AI to more meaningful outcomes.

A Superintelligence in the Making

Given these enhancements, it's puzzling that the existing systems aren't already considered to be beyond any foreseeable "general intelligence." If an AI can self-improve by reviewing and redoing aspects of a problem, self-checking to yield better answers, and can process tasks at such a massive scale, isn't that indicative of a form of superintelligence?

The term Artificial General Intelligence (AGI) is often used, but it's a vague and poorly defined measure. Perhaps it's time to develop better metrics to assess the types of superintelligence we're creating and how we can enhance them. If an AI system is indistinguishable from a human in its capabilities and interactions, for all practical purposes, it functions as a form of general intelligence. The distinction becomes less about definitions and more about application and impact.

The AI Arms Race: A Winner-Takes-All Scenario

With the technology we have now, we can build highly capable AI agents that are more knowledgeable than any human and smarter than most by a significant margin. These agents can accelerate AI development exponentially. Once an AI system can autonomously navigate problem spaces, it can surpass human capabilities rapidly.

Companies like Google, OpenAI, Meta, and Microsoft likely possess the resources and technology to develop a superintelligent AI system that's qualitatively different from anything we've seen before. The stakes are enormous, and the race has become a "winner-takes-all" scenario, fueling an incredible drive to advance.

Embracing the Future: Leveraging the Human-AI Symbiote

So, how do we leverage the Human-AI symbiote to achieve extraordinary outcomes? By embracing collaboration, we can:

  • Enhance Creativity: Combining human intuition with AI's data-driven insights can lead to innovative solutions.

  • Accelerate Innovation: AI can process and analyze information at unprecedented speeds, helping humans make breakthroughs faster.

  • Improve Decision-Making: AI's ability to simulate and predict outcomes can aid humans in making more informed choices.

  • Scale Problem-Solving: By harnessing the massive infrastructure behind AI, we can tackle global challenges with a level of coordination and efficiency previously unattainable.

The Philosophical Perspective

Moreover, if a counterfeit is indistinguishable from the real thing, for all practical purposes, it is the real thing. This philosophical notion challenges us to reconsider our definitions of intelligence and consciousness in the context of AI.

The Exponential Growth and the Algorithmic Advantage

We haven't even fully tapped into the potential of optimized algorithms. As AI continues to evolve, refining algorithms will play a crucial role in amplifying its capabilities. Coupled with AI's ability to self-improve and learn from vast datasets, the potential for rapid advancement is staggering.

Consider this: AI systems are simultaneously serving thousands, if not millions, of users, continuously learning and refining their responses. This collective processing power and iterative improvement cycle place current AI systems well beyond any traditional measure of 'general intelligence'.

The Road Ahead: A New Era of Possibilities

The future isn't just about AI or humans independently—it's about how we can work together to unlock new possibilities. By combining the vast computational power and scalability of AI with human creativity and ethical guidance, we can tackle challenges on a global scale.


"...co-founder Sergey Brin is back at Google—and working on AI 'pretty much every day.'"
Entrepreneur: Sergey Brin Is Back—Is Google Working on a 'God' AI Model?


In Conclusion

The age of superintelligent AI isn't just approaching—it's here. We're witnessing the emergence of systems that can reason, learn, and even exhibit creativity in ways that were once the domain of science fiction. By acknowledging and leveraging the immense infrastructure and capabilities at our disposal, and by embracing the symbiotic relationship between humans and AI, we can navigate this new landscape to achieve feats previously thought impossible.

What are your thoughts? Let's embark on this journey together and explore the incredible potential that lies ahead!

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