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What is artificial general intelligence? And how do we get there?
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How far away are we from AGI? Does OpenAI have the right approach? Or will someone else get there first?
Are models like Dall-E, ChatGPT, and GPT-4 the way to get there?
Leave a comment below with what you think!
00:00 Intro
00:42 What is AGI?
01:08 OpenAI’s Origin Story
02:25 Enter GPT and Dall-E
03:15 OpenAI’s Roadmap
04:33 Closing Thoughts
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Sources:
Planning for AGI and Beyond (https://openai.com/blog/planni....ng-for-agi-and-beyon
McKinsey's executive primer on artificial general intelligence
(https://www.mckinsey.com/capab....ilities/operations/o
Contrary Research’s report on Open AI
(https://research.contrary.com/reports/openai)
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Hey there, it's me Dylan Curious! Today, we're delving deep into the realm of AGI or artificial general intelligence. Picture this: your childhood toy, favorite video game character, or cartoon figure not just following programmed instructions, but actually thinking and creating on its own. Sounds like science fiction, right? That's AGI for you!
AGI isn't just a toy robot dancing in pre-set patterns. Imagine it inventing its dance moves, composing its own songs, and then asking for your thoughts on its creativity. Mind-blowing, isn't it? A huge shoutout to Casey Armstrong for his informative blog post that inspired some of this content.
Now, let's hear from the experts. Elon Musk, back in 2016, anticipated we'd see AGI in 5 to 10 years. Fast forward to today, 2023, and we're right in the heart of that prediction. On the other hand, Dr. Alan D. Thompson has this fascinating countdown on lifearchitect.ai, forecasting AGI’s debut in June 2026. With such technological advancements, it makes one wonder if we're months away from AGI, rather than years.
Speaking of big names, Mark Zuckerberg envisions a brighter and more optimistic AGI future. He dreams of open source AI enhancing sectors like healthcare and education. David Shapiro, based on a Morgan Stanley report, sees AGI as a game-changer for tech giants, with possibilities of AGI being actualized within 18 months!
Demis Hassabis from DeepMind believes we're on the cusp of achieving AGI in just a few years. Sam Altman of OpenAI anticipates AGI within a 10 to 20-year frame. Dario Amodei, CEO of Anthropic, estimates 2-3 years, underscoring the rapid advancements in the field. And then there's the visionary Ray Kurzweil, predicting AI surpassing the Turing test by 2029.
So, where do I stand in this AGI timeline? I believe we might have already touched the fringes of AGI. Perhaps AGI, in its true essence, would be recognized only when it's embodied, mimicking human-like traits. Dive into this rollercoaster journey of AGI with me, and let's unravel the future together.
Make sure to like, share, and subscribe for more AI insights and don't forget to hit that bell icon for updates!
CURIOUS FUTURE: @dylan_curious
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00:00 - What if Your Toy Could THINK? Exploring AGI!
00:39 - 7 AI-Experts Predicting Short AGI Timelines
00:56 - Elon Musk: What His Silence Tells Us About AGI
01:43 - Dr. Alan D. Thompson: AGI Countdown Predicts 2026
03:21 - Mark Zuckerberg: When Will Strong AI Arrive?
04:15 - David Shapiro: Is AGI Really Coming in October 2024?
05:08 - Demis Hassabis: Human-Level AI in a Few Years
06:37 - Sam Altman: Optimistic About AGI’s Near Future?
07:34 - Dario Amodei (CEO of Anthropic): AGI in 2-3 Years?
08:28 - Ray Kurzsweil: AGI in 2-3 Years?
09:22 - Dylan Curious: GPT-4: The AI with Human-Level Intelligence?
SOURCES:
https://www.linkedin.com/pulse..../7-ai-experts-predic
https://twitter.com/CrowdsourcingKC
https://www.youtube.com/watch?v=PJwcds_tiQo&ab_channel=DrAlanD.Thompson
https://lifearchitect.ai/agi/
https://www.youtube.com/watch?v=YXQ6OKSvzfc&ab_channel=DavidShapiro~AI
@DaveShap
https://www.cnbc.com/2023/08/1....4/nvidia-shares-up-7
https://www.youtube.com/watch?v=Gfr50f6ZBvo&ab_channel=LexFridman
https://abcnews.go.com/Technol....ogy/openai-ceo-sam-a
https://www.youtube.com/watch?v=Nlkk3glap_U&ab_channel=DwarkeshPatel
@DwarkeshPatel
https://www.youtube.com/watch?v=4GQrLjvudJ4&ab_channel=AIforGood
@AIforGood
WATCH THE FULL VIDEO ⤵
https://www.youtube.com/watch?v=EzyNxcFUWgI
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Humanity's LAST Invention - Artificial General Intelligence (AGI)
Artificial General Intelligence has the whole world divided over it. While some are in support of the smart software technology having human cognition abilities, others fear that the outcome it might have on our world may be bad for the world. Will AGI become an essential invention for a better future or the final nail in the coffin of the world? Let’s find out in today’s video.
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The AI Revolution,artificial general intelligence,agi,ai,technology news,singularity,The UNSTOPPABLE Rise of Artificial GENERAL Intelligence (AGI),rise of agi,ai risk,the singularity,what is agi?
There have been 4 research papers and technological advancements over the last 4 weeks that in combination drastically changed my outlook on the AGI timeline.
GPT-4 can teach itself to become better through self reflection, learn tools with minimal demonstrations, it can act as a central brain and outsource tasks to other models (HuggingGPT) and it can behave as an autonomous agent that can pursue a multi-step goal without human intervention (Auto-GPT). It is not an overstatement that there are already Sparks of AGI.
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Further sources:
Reflexion: an autonomous agent with dynamic memory and self-reflection: https://arxiv.org/abs/2303.11366
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace: https://arxiv.org/abs/2303.17580
Auto-GPT: An Autonomous GPT-4 Experiment: https://github.com/Torantulino/Auto-GPT
Sparks of Artificial General Intelligence: Early experiments with GPT-4: https://arxiv.org/abs/2303.12712
15 Jaw-Dropping Consequences of the Singularity (AGI IS CLOSER THAN YOU THINK!)
Welcome to our channel where we bring you the latest breakthroughs in AI. From deep learning to robotics, we cover it all. Our videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on our latest videos.
Prepare to be Amazed: Shocking Changes After the AI Singularity: AGI Artificial General Intelligence!
Are you ready for a mind-bending journey into the future? Join us as we explore the incredible world that awaits us after the Singularity, where artificial general intelligence (AGI) reigns supreme. In this eye-opening video, we delve into the debate and fears surrounding Singularity, from the risk of human extinction to the emergence of a new superintelligent race.
But that's not all! We'll uncover the potential impacts of the Singularity, including economic collapse, loss of humanity, environmental disaster, and the erosion of our collective knowledge and history. Discover the driving factors propelling us closer to this technological tipping point, such as ever-increasing processing power, abundant labeled data, and groundbreaking approaches to AI training.
Hold on tight as we explore the groundbreaking applications of AGI, from virtual e-commerce assistants revolutionizing our daily lives to cutting-edge digital fraud detection systems. And we won't shy away from discussing the more controversial possibilities, including the potential enslavement of humanity, the specter of world war, and the mind-boggling concept of matryoshka brains.
As we peer into the future, we also consider the profound societal shifts ahead. Brace yourself for a potential economic collapse fueled by mass unemployment caused by AI automation. Transhumanism may detract from our humanity, challenging our very essence. And let's not forget the fear of World War III ignited by the conflict between humans and AI.
Join us on this captivating journey where technological advancement collides with the unknown. The future is here, and it's time to unlock the secrets of Singularity. Don't miss out on this thrilling exploration of the potential triumphs and tribulations that await us in a world where technology surpasses human control and intelligence.
#SingularityRevelations #AGINear #ShockingChanges #FutureTech #ArtificialIntelligence #AIRevolution #TechRevolution #HumanityAtRisk #BeyondHuman #TechnologicalAdvancement #UnchartedTerritory #EconomicCollapse #EnvironmentalCatastrophe #KnowledgeLoss #WorldWarIII #Transhumanism #MatrioshkaBrains #AIvsHumanity #EthicalAI #SecurityConcerns #TheAITrail
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Will truth and reason survive the evolution of artificial intelligence? AI researcher Gary Marcus says no, not if untrustworthy technology continues to be integrated into our lives at such dangerously high speeds. He advocates for an urgent reevaluation of whether we're building reliable systems (or misinformation machines), explores the failures of today's AI and calls for a global, nonprofit organization to regulate the tech for the sake of democracy and our collective future. (Followed by a Q&A with head of TED Chris Anderson)
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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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[MUST WATCH]:
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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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.
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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.
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↪ https://www.youtube.com/channe....l/UCpdyFxSktWo3W6kMY
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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
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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.
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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
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#openai #ai #leaks