Welcome to a groundbreaking exploration of Artificial General Intelligence (AGI) in our quest to operationalize progress on the path to AGI. In this video, we introduce a revolutionary framework that classifies the capabilities and behavior of AGI models and their precursors. Our "Levels of AGI" framework is set to transform the way we perceive AGI's performance, generality, and autonomy, much like the levels of autonomous driving have provided a common language for comparison, risk assessment, and progress measurement.

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LLM-App: Create POWERFUL and Customizable LLM Apps Easily!: https://youtu.be/z_V7ZfdIlIc
OpenChat: Best Opensource Model EVER! Better Than ChatGPT!?: https://youtu.be/KdTkIc9fHLE
Deepseek Coder: AI Let's The Code Write Itself! Better Than ChatDev!?: https://youtu.be/QPBmsgGufXE

[Link's Used]:
https://huggingface.co/papers/2311.02462

In this thought-provoking presentation, we delve into the core concepts of AGI, seeking to understand and classify its evolving capabilities and behavior. Our hope is that this framework will serve as a benchmark for assessing AGI, emphasizing capabilities over mechanisms, and separately evaluating generality and performance. We'll also redefine the stages on the path to AGI, transcending the traditional focus on the endpoint.

- AGI Principles: We distill six fundamental principles that a useful ontology for AGI should satisfy. These principles guide our framework, placing a spotlight on capabilities and the depth of performance.
- Levels of AGI: We propose a hierarchical structure for AGI based on the depth (performance) and breadth (generality) of capabilities. This allows us to map current systems against this ontology, providing valuable insights.
- Future Benchmarks: Exploring the challenging requirements for future benchmarks, we'll quantify the behavior and capabilities of AGI models against these levels, paving the way for progress.
- Deployment and Risk: We discuss how these levels of AGI interact with deployment considerations, focusing on autonomy and risk. We emphasize the crucial role of selecting responsible human-ion interaction paradigms.
This video is a must-watch for anyone interested in the future of AGI, from researchers and developers to enthusiasts and policymakers.

If you found this video insightful, don't forget to give it a thumbs up, subscribe to our channel for more cutting-edge content, and share this video with your network to help spread the knowledge.

Additional Tags and Keywords:
AGI Framework
Artificial General Intelligence
AGI Progress
AI Capabilities
AGI Classification
Future Benchmarks
Human-AI Interaction
AGI Development
AI Risk Assessment
Hashtags:
#AGI #ArtificialIntelligence #AIProgress #Innovation #Technology #FutureTech #AIResearch #HumanAIDevelopment

Join us on this extraordinary journey to redefine AGI. Hit that play button now!

Gorilla is an AI model, developed by Microsoft and UC Berkeley, that can autonomously interact with various online tools using API calls. Unlike other large language models, Gorilla can learn from online sources in real-time, adapt to changes, and handle complex tasks spanning different platforms. Explore its capabilities, understand its rise toward artificial general intelligence, and decide if it's the future of AI or just passing hype.

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#ai #agi

How Powerful Will AI Be In 2030?
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Welcome to our channel! In this exciting video, we delve into the fascinating realm of artificial intelligence (AI) and explore the question that has intrigued tech enthusiasts and experts alike: "How powerful will AI be in 2030?" Join us as we embark on a captivating journey into the future of AI, examining the possibilities, advancements, and potential impact that await us.

In the next decade, AI is poised to revolutionize numerous industries and transform the way we live and work. As we peer into the crystal ball of technological progress, we aim to shed light on the potential power and capabilities that AI could possess by 2030. Brace yourself for mind-blowing insights and expert analysis that will leave you in awe.

We begin by exploring the current state of AI and its rapid advancements. From machine learning algorithms to neural networks and deep learning models, AI has already demonstrated exceptional prowess in various fields, including healthcare, finance, transportation, and more. By building upon these achievements, AI is set to evolve exponentially, opening doors to a future where intelligent machines collaborate seamlessly with humans.

Throughout this video, we delve into key areas where AI is expected to make significant strides by 2030. We discuss advancements in natural language processing, computer vision, robotics, and autonomous systems. Witness the potential of AI-powered virtual assistants, autonomous vehicles, medical diagnostics, and even the integration of AI in our daily lives.

To provide a comprehensive perspective, we draw insights from leading AI researchers, industry pioneers, and thought leaders who offer their expert opinions on the future trajectory of AI. Their invaluable insights help us paint a vivid picture of the exciting possibilities that await us in the next decade.

Join us on this thought-provoking journey into the future, as we ponder the ethical implications, challenges, and potential risks that arise with the growing power of AI. By understanding the trajectory of AI development, we can prepare ourselves for a future where humans and intelligent machines coexist harmoniously.

Don't miss out on this eye-opening exploration of AI's potential power in 2030. Subscribe to our channel, hit the notification bell, and be at the forefront of the AI revolution. Stay tuned for more insightful content that will keep you informed and engaged as we navigate the ever-evolving world of artificial intelligence.

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#futureofai


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Welcome to AI Uncovered, your ultimate destination for exploring the fascinating world of artificial intelligence! Our channel delves deep into the latest AI trends and technology, providing insights into cutting-edge AI tools, AI news, and breakthroughs in artificial general intelligence (AGI). We simplify complex concepts, making AI explained in a way that is accessible to everyone.

At AI Uncovered, we're passionate about uncovering the most captivating stories in AI, including the marvels of ChatGPT and advancements by organizations like OpenAI. Our content spans a wide range of topics, from science news and AI innovations to in-depth discussions on the ethical implications of artificial intelligence. Our mission is to enlighten, inspire, and inform our audience about the rapidly evolving technology landscape.

Whether you're a tech enthusiast, a professional seeking to stay ahead of AI trends, or someone curious about the future of artificial intelligence, AI Uncovered is the perfect place to expand your knowledge. Join us as we uncover the secrets behind AI tools and their potential to revolutionize our world.

Subscribe to AI Uncovered and stay tuned for enlightening content that bridges the gap between AI novices and experts, covering AI news, AGI, ChatGPT, OpenAI, artificial intelligence, and more. Together, let's explore the limitless possibilities of technology and AI.

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When will we have AGI, or human-level AI? That's the question on everyone's minds, and in this video I gathered together predictions from various experts to try to come up with an answer.

The temptation as humans is to look at progress in the past when predicting progress in the future. But this assumes a linear technological progress, which is not the case. Technology advances exponentially. Creating predictions that take this exponential growth into account is very difficult, especially because each individual technology advances through an S-curve and eventually levels out, giving way to newer technologies.

Hence, a lot of predictions are going to be too high because they assume linear progress. The trick is to exclude the predictions that are too high while not jumping to the most optimistic predictions immediately. At the end of the video, I make my own prediction about the arrival of AGI.


Scaling up learning across many different robot types
https://deepmind.google/discov....er/blog/scaling-up-l

How Soon is Now? Predicting the Expected Arrival Date of AGI- Artificial General Intelligence
https://papers.ssrn.com/sol3/p....apers.cfm?abstract_i

"AGI within 18 months" explained with a boatload of papers and projects
https://www.youtube.com/watch?v=YXQ6OKSvzfc

Alan’s conservative countdown to AGI
https://lifearchitect.ai/agi/

7 AI-Experts Predicting Short Timelines… Is Life-Changing AI Months Away, Not Years?
https://www.linkedin.com/pulse..../7-ai-experts-predic

When will the first general AI system be devised, tested, and publicly announced?
https://www.metaculus.com/ques....tions/5121/date-of-a

Shane Legg (DeepMind Founder) - 2028 AGI, Superhuman Alignment, New Architectures
https://www.youtube.com/watch?v=Kc1atfJkiJU

Google AI Chief Says There’s a 50% Chance We’ll Hit AGI in Just 5 Years
https://futurism.com/google-deepmind-agi-5-years

OpenAI CEO: When will AGI arrive? | Sam Altman and Lex Fridman
https://www.youtube.com/watch?v=ZgN7ZYUxcXM

#agi #ai #singularity

0:00 Intro
0:23 Contents
0:28 Part 1: Definitions
0:58 AGI is about generality
1:29 Adversarial definitions of AGI
2:12 S-curves of technological progress
2:58 Hype cycle
3:22 Can LLMs take us all the way to AGI?
4:22 Part 2: Historical attitudes
4:44 LLMs changed people's predictions
5:03 Linear view of history
5:39 Example: one year before the singularity
6:03 Discounting linear predictions
6:40 Timeline: Metaculus average
7:05 Timeline: Oxford economic modeling
7:54 Wisdom of crowd says 2032, 2041...
8:19 Part 3: Timeline predictions
8:28 Geoffrey Hinton: godfather of AI (under 20 years)
9:03 Ray Kurzweil: futurist, studies advancement of technology (2029)
9:33 David Shapiro: YouTuber and researcher (2024)
10:12 Sam Altman: CEO of OpenAI (under 10 years)
10:53 Shane Legg: DeepMind founder (2025/2028)
11:23 Dario Amodei: CEO of Anthropic (2025-2026)
11:46 Dr Alan D. Thompson: countdown to AGI (2024-2025 maybe 2026)
12:44 Measuring stepping stones to AGI
13:15 Dr Waku prediction!
14:05 Conclusion
14:38 Outro

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In today's episode, we're charting the course of Artificial General Intelligence (AGI) as of June 2023, guided by the timeline presented by AI expert Dr. Alan D. Thompson.

A critical turning point came in 2017, with the birth of the attention mechanism by Google researchers, paving the way for the creation of Transformers. These are the foundation of powerful AI models like GPT, and according to Dr. Thompson, we're about halfway to achieving AGI from here.

The period between 2017 and 2023 has been rich with major AI advancements, each one a stepping stone on our path to AGI. These include our deeper understanding of GPT-3's capabilities, innovative applications of AI in microchip design, and the emergence of multitasking models like DeepMind's Gato.

By 2020, we had made roughly 30% progress towards AGI, nudging up to 31% by 2021. Significant leaps, like the unveiling of GPT-3's remarkable abilities and the use of AI in hardware design, were clear indicators of this progress. In May 2022, the introduction of DeepMind's Gato model propelled us to 39% completion, thanks to its impressive capabilities and the demonstration of human-like general intelligence.

As 2022 came to a close, progress continued with developments in autonomous AI systems and AI-assisted human tasks. Into 2023, we saw AGI estimates rise to 41%, largely due to Microsoft's innovative use of ChatGPT in operating robotic components. The introduction of Google's PaLM-E 562B, capable of planning its own future based on visual and language data, took AGI estimates up to 42%.

The launch of the even more powerful GPT-4 model and the integration of AI into robotics have substantially fast-tracked our journey towards AGI. Stay tuned to "Curious Future" for more updates on the fascinating world of AI, and don't forget to subscribe for the latest in AI, technology, and innovation.

CURIOUS FUTURE: @dylan_curious
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00:00 - Artificial General Intelligence, 50% Complete: Fact or Fiction?
00:42 - Did Google’s Invention of the Transformers Take Us 20% of the Way to AGI?
01:23 - 30% to AGI in 2020? Unraveling the AI Progress Debate
02:24 - AI Designing AI: The 31% Milestone Towards AGI in 2021
03:14 - DeepMind’s Gato Model: The Super Multitasker Pushing AGI to 39%?
03:48 - We Are 39% Of The Way To AGI: Unraveling Antropic’s Human Reinforcement Method
04:55 - Microsoft’s ChatGPT Pushed Us 41% Closer To AGI
05:49 - AGI at 42%: After Google’s PaLM-E 562B’s Shows Adaptive Abilities
07:19 - AGI at 48%: What Does this Mean for AI’s Future?
08:43 - Humans at 94%, AI at 90.9% | AGI Progress Is Moving Fast
09:37 - 2 Milestone To Look For Before AGI Arrives On Earth

SOURCES:
https://lifearchitect.ai/agi/
https://ai.googleblog.com/2017..../08/transformer-nove
https://www.youtube.com/watch?v=HrV19SjKUss&t=175s&ab_channel=MachineLearningStreetTalk
@MachineLearningStreetTalk
https://www.theverge.com/2021/....6/10/22527476/google
https://www.nature.com/articles/s41586-021-03544-w
https://lifearchitect.ai/the-sky-is-on-fire/
https://www.youtube.com/watch?v=6fWEHrXN9zo&list=PLqJbCeNOfEK-o63ACEKEbwE6-XpEXXS_I&ab_channel=DrAlanD.Thompson
https://en.wikipedia.org/wiki/Gato_(DeepMind)
https://www.deepmind.com/publi....cations/a-generalist
@DrAlanDThompson
https://developer.nvidia.com/b....log/designing-arithm
https://www.microsoft.com/en-u....s/research/group/aut
https://www.youtube.com/watch?v=wLOChUtdqoA&ab_channel=MicrosoftAutonomousSystems%26RoboticsResearch
@msftautonomoussys
https://palm-e.github.io/
https://arxiv.org/abs/2303.12712
https://www.youtube.com/watch?v=XyCKe3rrYik&ab_channel=STrucBot
https://www.fastcompany.com/90....889271/boston-dynami
https://tidybot.cs.princeton.edu/
https://www.youtube.com/watch?v=Vq_DcZ_xc_E&ab_channel=AgilityRobotics
@Structon
@AgilityRobotics

WATCH THE FULL VIDEO ⤵
https://www.youtube.com/watch?v=xyzY3cj7tTA

#ai #artificialintelligence #tech #agi #gpt3 #gpt4 #deepmind #chatgpt #robotics #google #microsoft #machinelearning #autonomousai #palm-e562b #gato #transformers #futuretech #innovation #aitechnology #aitimeline #curiousfuture #alanthompson #artificialgeneralintelligence #aidesign #aipredictions #aiadvancements #aiupdates

AGI is closer than you think, and it could change everything we know about the world. In this video, we will delve into the development of AGI and explore some of the challenges that still lie ahead. So, buckle up and get ready for a jaw-dropping ride into the world of AGI.

Imagine a machine with the same level of intelligence as a human being. It sounds like science fiction, but it may become a reality. In this video we focus on if we can reach Artificial General Intelligence (AGI) in the first place and how to get there. Recent developments in AI pushed this question into my consciousness, because for the first time I feel like it becomes necessary to think about AI on a grander scale. There are breakthroughs left and right and yet even the experts among experts can’t agree on when AGI is going to happen.

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Further Sources:
Scale AI, OpenAI's Greg Brockman: The Future of LLMs, Foundation & Generative Models (DALL·E 2 & GPT-3): https://youtu.be/Rp3A5q9L_bg
CEO Naval Ravikat Says AI Fears Are Overblown (Joe Rogan): https://youtu.be/QGYbbLWn-IE
Wozniak: Could a Computer Make a Cup of Coffee? (Fast Company): https://youtu.be/MowergwQR5Y
Google’s Video AI: Outrageously Good! (2 Minute Papers): https://youtu.be/YxmAQiiHOkA
Andrej Karpathy: Tesla Bot will lead to AGI (Lex Friedman): https://youtu.be/X6s-4VUaMj8
Scaling Language Models: Methods, Analysis & Insights from Training Gopher: https://arxiv.org/abs/2112.11446

Jimmy Apples (who previously leaked a supposed AGI) was proven right again. OpenAI began work on Arrakis alongside GPT-4, its latest AI model, to create a system that could power AI applications like ChatGPT much more cheaply, the Information report said. The company ended up scrapping it earlier this year after it struggled to meet expectations around efficiency, the report added.
AI models that enable applications like ChatGPT are expensive and resource-intensive, requiring expensive compute power from cloud providers such as Microsoft, Amazon, and Google. Estimates have suggested that ChatGPT costs more than $700,000 per day to run.
OpenAI struck a partnership with Microsoft in January, giving it access to the tech giant's Azure platform. The Information reported that "some executives at Microsoft" were left disappointed by the shortcomings of Arrakis.
-----
Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
-----
TIMESTAMPS:
00:00 Jimmy Apple's New OpenAI Leaks
01:04 All New OpenAI Leaks
04:08 What is Artificial General Intelligence
05:58 Future of OpenAI
-----
#openai #ai #leaks

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From the "697: The (Short) Path to Artificial General Intelligence", in which AI visionary and CEO of SingularityNET Dr. Ben Goertzel joins @JonKrohnLearns to provide a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years.

Watch, listen to, or read the full episode at https://www.superdatascience.com/697

The Dawn of Superintelligence - Nick Bostrom on ASI

Dive into the cosmic intersection of human cognition and machine intelligence as we explore the paradigm-shifting rise of Artificial General Intelligence (AGI) and its potential evolution into Artificial Superintelligence (ASI). Using astrophysicist Neil deGrasse Tyson's hypothesis of an alien encounter, we unpack the profound cognitive chasm between beings. How does a Bonobo’s linguistic prowess compare to a human intellectual titan? And as we've witnessed the evolution of ChatGPT from its first iteration to ChatGPT-4, are we brushing the fringes of true AGI? Philosophers like Bostrom speculate on a potential "intelligence explosion" when AI begins to improve itself. As we stand at the dawn of a new era, where machines might eclipse human intellect, we ponder our place in the vast intelligence tapestry. Beyond the philosophical, the practical implications are vast: from power dynamics to potential harm if AI goals misalign with ours. Yet, amidst these uncertainties, there's optimism. This journey offers a profound insight into the most consequential technological evolution in our history and the pivotal choices we must make.

Subscribe to Science Time: https://www.youtube.com/sciencetime24

#artificialintelligence #ai #science

The singularity timeline explores predictions about the tech developments in the future regarding artificial intelligence, its evolution to become AGI, how it transforms into ASI, and the events that follow for humans, robots, and the universe.

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AI News Timestamps:
0:00 Introduction
0:20 2023 OpenAI Releases GPT-4 Artificial Intelligence
1:12 2026 Artificial General Intelligence
2:09 2030 AGI Breakthrough Research
2:56 2035 Artificial Super Intelligence
3:53 2040 Human Longevity
4:35 2045 Age of Abundance
5:15 ASI Brain Computer Interface
6:17 ASI Builds Computronium
6:56 Humanoid Robot Species
7:26 Quantum Consciousness
7:55 Becoming One
8:23 Time To Decide
8:55 The Great Computation

#technology #tech #ai

Artificial general intelligence (AGI) promises to unlock unbelievable new capabilities, from AI that can reason across domains to the potential for runaway self-improvement. This video explores the rise of AGI, visions of the singularity, and the long-term implications of advanced AI systems that may one day far surpass human-level intelligence.
We define AGI and consider predictions about when it could emerge, from futurists like Ray Kurzweil who foresee the singularity as early as the 2030s. But perhaps more importantly, what ethical precautions should guide AGI development? How can we ensure advanced AI aligns with human values and avoids existential catastrophe?
This video delves into the possibilities and perils of merging biological and nonbiological intelligence, and whether we could ever fully align an AI's goals with our own complex values. We contemplate whether uncontrolled AGI could view humanity as atoms to be used for a different purpose. But with diligence and wisdom, perhaps we can harness AI's potential as a force for good, ending disease, hunger, and environmental destruction.

Video Title: Are We Ready for Artificial General Intelligence? The Coming Of AGI

#agisimplyexplained #whatisagi #understandingagi #artificialgeneralintelligenceexplained #agideinition #agiexplained #agiconcept #agifuture #agitechnology #agibenefits #agirisks

As we stand at the threshold of superintelligent machines, we must thoughtfully shape the institutions that will guide the next phase of our civilization. Join us for an expansive look at artificial general intelligence and technological singularity. How humanity navigates this transition may determine our destiny across the stars.

Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.

Copyright Notice:
Video clips used here under fair use for educational purposes.
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

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Welcome to AI Tech Academy!

We are your go-to source for all the latest news, trends and insights into the world of Artificial Intelligence and Technology. Our mission is to make AI and technology more accessible to everyone. We create content to educate, inform, and entertain viewers on the topics of AI and tech. Our videos cover everything from AI tutorials to tech product reviews. We also discuss the implications and potential of AI in the future.

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Let's talk about AGI - It's much closer and probably much scarier than you actually realize. In this video I break it down.

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#AGI #AI #Chatgpt

AGI will be so much more than a clever chatbot. Revelations this week from Demis Hassabis, Mustafa Suleyman, Wired, Time Magazine and more paint a picture of the capabilities that AGI will have, and sketch out a better idea of timelines. I cover it all, from Gemini updates, to Musk trying to stop DeepMind sale to Google, The Coming Wave to the Frontier AI Taskforce.

https://www.patreon.com/AIExplained

Wired, What OpenAI Wants: https://www.wired.com/story/wh....at-openai-really-wan
Musk’s Struggle for the Future of AI: https://time.com/6310076/elon-....musk-ai-walter-isaac
OpenAI Planning for AGI: https://openai.com/blog/planni....ng-for-agi-and-beyon
AI power Paradox: Mustafa Suleyman: https://www.foreignaffairs.com..../world/artificial-in
80,000 Hours Suleyman Podcast: https://80000hours.org/podcast..../episodes/mustafa-su
Governing Superintelligence: https://openai.com/blog/govern....ance-of-superintelli
How AI Systems Should Behave: https://openai.com/blog/how-sh....ould-ai-systems-beha
Suleyman Interview: https://www.youtube.com/watch?v=vQ3Vy78U-pQ
DeepMind Autonomous AI: https://twitter.com/egrefen/st....atus/169912837629904
AI Math: https://www.nytimes.com/2023/0....7/02/science/ai-math
Terence Tao: https://unlocked.microsoft.com..../ai-anthology/terenc
AI Assassination: https://www.nytimes.com/2021/0....9/18/world/middleeas
WannaCry: https://en.wikipedia.org/wiki/....WannaCry_ransomware_
Time Magazine Hassabis / Gemini: https://time.com/collection/ti....me100-ai/6309001/dem
AI Taskforce: https://www.gov.uk/government/....publications/frontie
Application Form: https://docs.google.com/forms/....d/1HKVnrV_rBHF3w4StW
Bletchley Park: https://www.standard.co.uk/bus....iness/sunak-chooses-
Suleyman Sam Harris: https://www.youtube.com/watch?v=IkojE37PUO8
AI Alzheimer’s: https://news.harvard.edu/gazet....te/story/2023/03/usi

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From the "713: Llama 2, Toolformer and BLOOM: Open-Source LLMs", in which Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host @JonKrohnLearns he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.

Watch, listen to, or read the full episode at https://www.superdatascience.com/713