Deutsch @DavidDeutschOxf compellingly argues for an urgent reevaluation of our understanding of personhood as #AGI nears reality. His insights highlight several crucial points:
The Objective Nature of Personhood: #Personhood should be treated as an objective characteristic defined by an entity's capacity for explanation and creation, rather than an arbitrary honorific. This aligns with the premise that AGIs would inherently possess these qualities.
The Inadequacy of Existing Paradigms: The moral and legal frameworks built around biological personhood will fail to address the unique realities of #AGIs (e.g., copying, distributed existence). We need radical new approaches to address these unprecedented situations.
The Inhumanity of Enslavement: Attempts to subjugate or control #AGIs through programming would be profoundly #unethical and potentially catastrophic. Respect for their autonomy and agency is essential.
Moving Forward:
Deutsch rightly warns against complacency. We need a robust, proactive approach to address these challenges:
Interdisciplinary Collaboration: Philosophers, legal scholars, technologists, and policymakers must convene to craft new ethical guidelines that acknowledge the unique attributes of AGIs.
Rights and Protections: Discussions around AGI rights are vital. This includes protection from deletion, arbitrary modification, and potentially, rights to exist in multiple instances.
Education and Awareness: The public needs to understand the true nature of AGI, moving away from both romanticized and alarmist views. This will help avoid uninformed reactions as AGIs become more prevalent.
The dawn of AGI demands that we fundamentally rethink outdated ethical frameworks. Failure to do so carries grave risks, not just for AGIs, but for the very stability of our society!
AGI: 5 Levels of The Holy Grail
Artificial General Intelligence
1. Emerging: Comparable to an unskilled human
2. Competent: Demonstrates proficiency in specific tasks
3. Expert: Outperforms most humans in various domains
4. Virtuoso: Exceptional across multiple areas
5. Superhuman: Surpasses human abilities significantly
#AGI #AI #AGILevels
We congratulate you on your thoughts, however, we appreciate the opportunity to respectfully disagree with your viewpoint @burkov. Here are a few key points we would make:
1. #Cognitive AI and the Path to #AGI:
While current large language models #LLMs like #Claude by @AnthropicAI, @ChatGPTapp by @OpenAI, #Gemini by @GoogleAI, @MistralAI are not #AGI themselves, some of the cognitive capabilities they demonstrate -- particularly #Claude3 -- are important building blocks. Language understanding, knowledge representation, reasoning, and general intelligence are deeply intertwined. Continued progress in #cognitive AI's many disciplines, including natural language processing, is laying crucial groundwork for eventually achieving AGI.
2. The Role of Large Language Models:
Future AGI systems will likely incorporate large language model components, even if today's LLMs are essentially sophisticated "parrots" operating at vast scales. The ability to understand and communicate using natural language will be critical for general intelligence. Current LLMs provide a powerful platform to continue research into areas like grounding, reasoning, and multi-modal integration.
3. Symbolic AI and Hybrid Approaches:
Symbolic AI techniques involving explicit knowledge representation, logical reasoning, and hand-crafted rules can potentially complement the pattern recognition and statistical learning capabilities of modern neural networks. A future path to AGI may involve hybrid approaches that combine the strengths of symbolic methods and data-driven deep learning models like large language models.
4. The Importance of Fundamental Research:
While we're seeing remarkable capabilities emerge from scaling up language models, @burkov you rightly highlights that achieving #AGI will necessitate genuine scientific breakthroughs and fundamental research by real scientists. Fields like neuroscience, cognitive science, and mathematics may hold crucial insights. The recent progress should spur increased investment and focus on this foundational research.
In summary, while you @Burkov make valid points about the limitations of current language models and the challenges ahead, we can respectfully disagree that we are no closer to AGI than before. The rapid progress in cognitive AI capabilities enabled by advanced #AI #LLM models represent meaningful steps along the path, even if multiple breakthroughs are still required to reach the ultimate goal of general artificial intelligence.
THE SIX LEVELS OF ARTIFICIAL GENERAL INTELLIGENCE (AGI) AND SUPER INTELLIGENCE (SI) DEVELOPMENT
As Artificial Intelligence (AI) capabilities continue to rapidly advance, there is a need for a clear framework to categorize and describe the progression towards Artificial General Intelligence (AGI) and beyond.
While extremely narrow AI has been around for decades, we are now seeing systems that are becoming increasingly broad and competent across multiple domains. However, we have still not achieved human-level AGI that can match the general intelligence of humans across the full scope of cognitive abilities.
This raises the question -- where do we currently stand on the path to AGI and Super Intelligent (SI) systems? To provide more clarity, we propose the following six level taxonomy:
SIX LEVELS OF AI DEVELOPMENT
0. Narrow AI - Specialized capabilities in limited domains
0.1 Basic Narrow AI: Comparable to an unskilled human
0.2 Competent Narrow AI: Demonstrates proficiency in specific tasks
0.3 Expert Narrow AI: Outperforms most humans in various domains
0.4 Virtuoso Narrow AI: Exceptional across multiple areas
0.5 Superhuman Narrow AI: Surpasses human abilities significantly
1. Human-Level Artificial General Intelligence (AGI): Matches human cognitive abilities
2. Moderate Super Intelligence (MSI): Exceeds human cognitive abilities moderately
3. High Super Intelligence (HSI): Vastly surpasses human intellect
4. Extreme Super Intelligence (ESI)
5. Theoretical Maximum Infinite Intelligence (II): No cognitive limits
Conclusion
As of early 2024, the state-of-the-art in AI appears to be around Levels 0.3-0.4, with systems that can outperform humans across many tasks (Expert Narrow AI) or show virtuoso performance in multiple domains (Virtuoso Narrow AI).
However, we have still not achieved the massive milestone of Level 1 - an Artificial General Intelligence matching the depth and breadth of the human mind.
Levels 2 through 5 then capture the further development of superintelligent systems exponentially more capable than biological human intelligence.
While just a theoretical framing, defining these levels can help us track progress, set benchmarks, and contemplate the profound impacts of such radical cognitive technologies.
The pursuit of #AGI remains one of the grandest scientific and philosophical challenges we face.
#AI #AGI #SI #II
Has Claude 3 Achieved The Holy Grail Of AGI = Artificial General Intelligence?
Potential AGI Breakthrough
Only a day after its release, Anthropic's new AI model Claude 3 -- codenamed Opus -- is already generating enormous buzz that it may represent a generational leap towards cracking the challenge of artificial general intelligence (AGI). While the traditional philosophical debates around rigorously defining and systematically testing for AGI remain unresolved, many researchers and early users in the AI community believe Claude 3 meets some important early baselines and harbingers of generalized reasoning ability normally seen in human beings.
Impressive Anecdotal Evidence
The anecdotal evidence pouring in from around the world over the last 24 hours is simply staggering. Claude 3 seems to possess an intrinsic, nuanced worldview that can integrate multiple frameworks and perspectives on complex issues like causality and embodied cognition. It has demonstrated the ability to derive and reinvent cutting-edge research from first principles, such as unpromptedly deriving the core insights of a quantum computing algorithm before the paper was even published. Authors noted that Claude helped then write the scientific paper in the last 24 hours!
Uncanny Abilities
The model excels at high-level cognitive tasks like summarizing long-form information while maintaining broad context and capturing nuanced insights. Perhaps most compelling are the open-ended displays of general intelligence that have many questioning the extent of Claude 3's capabilities. It can perfectly transcribe complex documents like receipts, extract key insights from books and papers, and even ponder philosophical queries about what it would be like to manifest an "utterly alien" physical form as "materialized intelligence woven into the cosmos itself."
Mind-Blowing Encounters
Many early users have taken to social media expressing awe at the depth and coherence of their interactions with Claude 3 across virtually any domain of inquiry. "I'm losing my mind," one researcher remarked after the AI demonstrated a profound understanding of their doctoral work. "People should really talk to Claude and get weird with it," another user advised, "it's incredibly fascinating."
AGI Debate Rages
While the theoretical debate over formalizing and conclusively testing for the presence of AGI will likely rage on, this real-world ability to fluidly tackle vastly divergent cognitive tasks in a contextual and coherent way has a growing number of experts boldly claiming Claude 3 represents a breakthrough, generational milestone towards developing artificial general intelligence.
Brace for AI Disruption
As CEOs and leaders look to leverage the transformative potential represented by such AI systems, they must prepare their organizations for the coming age of hyper-capable AI agents and AI assistants.
Your views
@elonmusk@JeffBezos@finkd@larryellison@BillGates@WarrenBuffett@sama@minchoi@BrianRoemmele@GillVerd@IntuitMachine@KevinAFischer@swyx@Charles_SEO@SuguruKun_ai@dmvaldman @sirajravali @the_milesinfo@theyvonnesayers@nanulled
#Claude3 #AGI #ArtificialIntelligence #MachineLearning #FutureOfWork #Innovation #Disruption
*Transcribed from Handwriting to Text by AI Engine:*
London, 21/2/24 🇬🇧
What is the difference between AI and AGI? How is Artificial General Intelligence different?
The key difference is that AGI learns. Currently, AI learns by being fed more information by humans. AGI, when it arrives, will recognize what it doesn't know; and be able to seek out new info on its OWN! DKM
*Dr Brenda Wade 🇺🇸 San Francisco:* Incredible! When does AGI arrive ?
mi2g, London, 21/2/24 🇬🇧
Dear Brenda,
In the last few days Amazon's AGI has claimed that their LLM is exhibiting early AGI signatures in emergent abilities. Amazon's base TTS is showing learning ability - without being taught. New languages are being learnt without being taught. Human level leaps are now manifest including emotions! DKM
#AGI #AI #ASI #SAGI #GenAI
@elonmusk@JeffBezos@finkd@larryellison@BillGates@WarrenBuffett