AGI Pioneer Peter Voss will be explaining why the current approach to AGI (via LLMs) makes no sense. He'll present a better path that requires orders of magnitude less data and compute to achieve AGI. Furthermore, it will allow real-time continuous learning (no need to rebuild the model) and it won't suffer hallucinations. There'll be plenty of time for Q&A and general discussion. When: Nov 12th, 5:00 PM CST Where: 8th Floor,?701 Brazos St, Austin, TX 78701 If you are in AI field, and in Austin on Tuesday (11/12), this is a must-attend event. Related Article: https://lnkd.in/d5pcyf6R https://lnkd.in/gEdGCiM7
Aigo.ai - The Company with a Direct Path to AGI
软件开发
Austin,Texas 3,564 位关注者
The company with a direct path to AGI
关于我们
1. Human-Level AI will transform the world. 2. LLMs can never get us to Human-Level AI. 3. Cognitive AI will get us to Human-Level AI. We have the most advanced Cognitive AI that leads us to AGI/ Human-Level AI. #Cognition is the missing link. #CognitiveAI is the path. We have a proven #CognitiveAI model that has already replaced 1000s of human agents at Call Centers showcasing its potential to replicate human thought and reasoning while generating 7-figure in ARR. Now we are getting ready to extend and evolve this Cognitive Brain to Human-Level AI. Cognitive AI doesn't require massive amounts of data or compute. Cognitive AI approach does not suffer 'hallucinations' and offers a clear path to full AGI (Artificial General Intelligence). DARPA calls this 'The Third wave of AI'. It is fully scrutable, explainable, accurate, predictable and reliable with no requirement for human in the loop. Aigo.ai company now has a detailed plan to extend this Core Cognitive AI technology to full human-level cognitive ability. Peter Voss, a trailblazing figure in AI who coined the term ‘Artificial General Intelligence’ (#AGI) in 2002 with others, is the CEO and Chief Scientist at Aigo.ai and he is on a mission for 20 years to bring Human-Level AI to the world to optimize human flourishing. Human-Level AI (AGI) will culminate in significantly lowering costs for many products and services; providing PhD-level AI researchers to help us solve problems like disease, energy, and pollution; and help companies and individuals with expert personal assistants. This isn’t just a mission; it’s a movement to change the world for the better.
- 网站
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https://www.Aigo.ai
Aigo.ai - The Company with a Direct Path to AGI的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Austin,Texas
- 类型
- 私人持股
- 创立
- 2018
- 领域
- Artificial General Intelligence、Artificial Intelligence、Third Wave of AI、Cognitive AI、Incremental Learning和Meta-Cognitive Reasoning
地点
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主要
8911 N Capital of Texas Hwy
US,Texas,Austin,78759
Aigo.ai - The Company with a Direct Path to AGI员工
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Vishal Gupta
Cloud transformation, Data platforms, ML/AI
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Peter Voss
On a mission to bring human-level AI to the world | CEO & Chief Scientist @Aigo.ai
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Abi Sachdeva
Founder & CEO of Ekyam.ai | Ex-CTO @1-800-Flowers | Ex-Head of Technology @Tory Burch | Angel Investor | Blockchain Enthusiast | Revolutionizing…
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Louise Gold, CPA
CFO/Controller
动态
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AI Pioneer, Peter Voss who coined the term 'Artificial General Intelligence' (#AGI) is speaking at the AI Infra Summit. Where: San Francisco, ConveneSF, Union Square When: September 27, Friday @11:45 AM Topic: The Direct Path to AGI What is #AGI and its impact on the society? What is #CognitiveAI and how different is it from #GenAI? How #INSA - a specific type of cognitive architecture enables #AGI? Is there a clear roadmap with milestones to achieve #AGI? Why #now? See you there! Limited spacing available and the event is oversubscribed. Event Link: https://www.aiinfra.live/
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AI Pioneer Peter Voss shares his insights with Jason Scharf covering wide-variety of hot topics in AI. Whether you are an career executive or an investor or a student looking to chart the course with AI, this is a must watch. 1) Why the term #AGI (Artificial General Intelligence) was coined in 2001? 2) What is #AGI? 3) Why Cognitive Mechanisms of human mind are critical to achieve #AGI? 4) What is the proper definition of Singularity? 5) Why Understanding Intelligence is critical to build an intelligent system? 6) What are the fundamental inherent limitations of current AI systems? 7) Why real-time learning is at the heart of matter in an intelligent system? and a lot more... Listen to the full episode here: Apple: https://lnkd.in/efuiMXNJ Spotify: https://lnkd.in/ey_49Uwy
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"We need a system that can generalize with much less data, much less resources, be able to form concepts in real-time. Understanding how the mind works (not the brain) is critical to design such intelligent system." AI Pioneer Peter Voss sharing his insights on how to build an intelligent system. Excited and looking forward to the full-episode tomorrow Jason Scharf.
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AI Pioneer Peter Voss getting to the heart of the matter with Jason Scharf. Why Real-Time Learning is Crucial for Truly Intelligent AI? Real-Time Learning implies Incremental, Interactive, Conceptual, Autonomous Learning coupled with Contextual & Metacognitive Reasoning where the model is Adapting in real-time.
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If you are in Austin, this is a must attend event. You can stream the event, if you are not in Austin. Mark your calendar: 9/10/24, Tuesday @5 PM CST. See you there!
Next Tuesday, 10 Sep at 5pm CT at the Capital Factory, Austin (and streamed): https://lnkd.in/gjQcFy6F I'll be providing an overview of the definition and goal of real AGI, and detail a roadmap of how a Cognitive AI approach can achieve this - at 1000th of the cost of Generative AI.
A Definitive Roadmap to AGI, Tue, Sep 10, 2024, 5:00 PM | Meetup
meetup.com
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The podcast discusses a new type of AI that surpasses traditional large language models (LLMs) by focusing on developing Artificial General Intelligence (AGI). AGI Pioneer Peter Voss, CEO and Chief Scientist of AIGO, shares his journey with Alec Crawford on AI development and emphasizes cognitive intelligence. He outlines the three waves of AI, the potential of AI assistants, and the differentiated approach of the third wave of AI/ Cognitive AI to overcome the limitations of LLMs while achieving AGI, highlighting it's potential benefits for humanity. You can listen to the full podcast here. https://lnkd.in/gEp5WbeN
This New Type of AI Is Smarter than LLMs
podcasts.apple.com
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The Wright way to AGI https://lnkd.in/ewehHzS7
Co-Founder @Aigo.ai | On a mission to bring Human-Level AI to humanity | Author | Advisor | Columnist | Always Learning
I’m grateful to Inc. Magazine for publishing my article, “The Wright Way to AGI - How the Study of Birds in Aviation History Shapes AGI Development." This piece challenges the mainstream belief that scaling LLMs with billions of dollars towards computational resources and trillions of words is the path to achieving AGI. "Artificial General Intelligence (AGI) will be the most important scientific discovery in the history of humanity. AGI would be broad and adaptable, mirroring or surpassing human cognitive abilities across the board. If LLMs will not birth AGI, what will? The study of nature provides a significant source of inspiration, leading to technological innovations, medical breakthroughs, and a deeper understanding of the world around us. Indeed, scientific advancements often arise from the study of nature as researchers observe natural phenomena, analyze patterns, and develop theories to explain them. The development of flight by the Wright Brothers is a prime example of how scientific advancements can be derived from the study of nature. Their successful creation of the first powered, controlled airplane was deeply influenced by their observations and understanding of natural phenomena. Further, a significant influence on the Wright brothers was Otto Lilienthal, a German aviation pioneer who had extensively studied the flight of birds. Lilienthal's experiments with gliders and his published works on aerodynamic mechanisms provided valuable insights into the principles of lift and control. This blend of nature-inspired design and rigorous engineering ultimately led to the development of a practical and controllable aircraft, marking a significant milestone in the history of aviation. They mimicked the bird's aerodynamic mechanisms and we need to do the same things by mimicking cognitive mechanisms of the human mind to develop AGI. By observing natural intelligence, applying cognitive principles, and leveraging technological innovations, the process of developing AGI can be systematically approached. For centuries flying machines were impossible, unreal, and unsafe. Yet the Wright Brothers brought us to the aviation era by the study of avian aviation. Similarly for almost seven decades, AGI has been science fiction. Unreal and unsafe. In the last few years that zeitgeist has shifted and we now believe it to be within the realm of near term possibility. LLMs have inherent limitations that will prevent them from birthing AGI. And thus we should seize the moment to expand upon other scientific avenues to achieve AGI. Powered by our ability to mimic the cognitive mechanisms of the human mind, we have a real shot." It is this work that the team at Aigo.ai led by AGI Pioneer Peter Voss has been researching, developing & commercializing for over two decades while establishing Aigo.ai - The Company with a Direct Path to AGI as the world’s leading organization for achieving AGI. https://lnkd.in/gACbrSbB
How the Study of Birds in Aviation History Shapes AGI Development
inc.com
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Please signup and vote for AGI panel at SXSW 2025 presented by AGI Pioneer Peter Voss. SXSW 2025 provides a great platform for many to learn about AGI. Thank you very much in advance for your consideration. https://lnkd.in/gnxRMcTu
AI Beyond Machine Learning: What’s Next/Better? Why? How?
panelpicker.sxsw.com
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AGI Pioneer Peter Voss shares his insights with Dan Turchin. A must listen. Here are some of the topics covered: 1. Why Peter Voss, Shane Legg and Ben Goertzel coined the term AGI - Artificial General Intelligence? 2. How AI turned into Narrow AI? 3. What is AGI - Artificial General Intelligence? 4. Why LLMs are an off-ramp, a distraction to achieving AGI? 5. Why Real-time Incremental Autonomous Learning is vital to achieving AGI? 6. Why Metacognition is the most appropriate predictor of AGI? 7. What is the most viable and direct path to AGI? 8. How AGI boosts human flourishing? and a lot more. https://lnkd.in/dpuVn5VT
?AI and the Future of Work: Peter Voss, AGI Co-inventor and CEO at Aigo.ai, On Making AI Smarter Without Harming Humans on Apple Podcasts
podcasts.apple.com