More on Q* (Q-Star) - AGI Timeline Revealed: Whistleblower's Shocking Revelation

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WHISTLEBLOWER Reveals Complete AGI TIMELINE, 2024 - 2027 (Q*, QSTAR)

Have you heard of the recent revelation from a whistleblower regarding the complete timeline of AGI (Artificial General Intelligence) from 2024 to 2027?

This groundbreaking video (from TheAIGRID) delves into the details, discussing previous models and leaks, along with delayed lawsuits and trademarks. The definition of AGI is explained, shedding light on the connection between brains and parameters. Performance prediction is also explored, with a focus on compute power and the introduction of new scaling laws.

The video reveals exciting information from Sam Altman confirming a 100T model in the future, as well as details about GPT-4's parameter count and actual leaks. Don't miss out on this captivating discussion about the connection between robotics and AGI, Open AI's actual plan, and the question of sounding the alarm. Subscribe for more updates and insights on the latest breakthroughs in AI, from deep learning to robotics.

Previous Models and Leaks

In the video, the whistleblower reveals information about previous models and leaks related to OpenAI's plans for AGI development. While some of the information may not be easily verifiable, there is enough evidence to convince viewers of the validity of the claims. The whistleblower mentions the training of a 125 trillion parameter multimodal model called Qstar, which began in August 2022 and finished training in December 2023. However, the launch of Qstar was canceled due to the high inference cost. This sets the stage for OpenAI's future plans for AGI development.

Delayed Lawsuits and Trademarks

The document mentions a recent lawsuit by Elon Musk against OpenAI, which has caused a delay in their plans. Elon Musk argues that the advanced technology being developed by OpenAI should be open source and accessible to the public. This lawsuit has had a significant impact on OpenAI's timeline for AGI development. Additionally, the document highlights the importance of trademarks, as OpenAI has trademarked names such as GPT-5 and GPT-8, indicating their intention to release new models in the future.

WHAT IS Q* (Q-Star) - Why Humanity Should Be VERY Concerned?

Definition of AGI and Connection to Brains and Parameters

The whistleblower provides a definition of AGI as an artificial general intelligence capable of performing any intellectual task a smart human can. This definition aligns with most people's understanding of AGI. The document also explores the connection between AGI and the number of parameters in deep learning models. OpenAI's training of a 125 trillion parameter multimodal model showcases their focus on pushing the boundaries of AGI development.

Performance Prediction through Compute Power

The document highlights the importance of compute power in predicting the performance of AI models. OpenAI's use of compute power plays a crucial role in achieving their AGI goals. By harnessing high-performance computing resources, OpenAI aims to bridge the performance gap and create AGI models capable of exceeding human-level AI capabilities.

Introduction of New Scaling Laws

New scaling laws are introduced in the document to further enhance OpenAI's AGI development. These scaling laws aim to optimize the performance of AI models by utilizing increased compute power and larger amounts of training data. OpenAI's adoption of new scaling paradigms and scaling laws demonstrates their commitment to pushing the boundaries of AGI research and development.

Sam Altman Confirms 100T Model and Early Leaks

The document reveals that Sam Altman, the CEO of OpenAI, has confirmed the development of a 100 trillion parameter model in the future. This confirmation aligns with earlier leaks and rumors circulating in the AI community. The mention of Sam Altman's confirmation adds credibility to the whistleblower's claims and provides insight into OpenAI's ambitious goals for AGI.

Details about GPT-4's Parameter Count and Actual Leaks

The document provides details about GPT-4's parameter count, further illustrating the scale of OpenAI's AGI research. GPT-4 is mentioned as a powerful model with a significant number of parameters, representing a major leap forward in AI capabilities. Actual leaks and information about GPT-4 substantiate the whistleblower's claims and demonstrate OpenAI's progress in AGI development.

Exploring the Connection between Robotics and AGI

The document delves into the connection between robotics and AGI. The potential synergy between these fields is highlighted, as robotics can benefit from advancements in AI and vice versa. The integration of AGI and robotics can lead to groundbreaking advancements in automation, autonomous systems, and human-machine interactions.

Understanding the Concept of Worldmodels

The concept of Worldmodels is introduced in the document to explain its relevance to AGI development. Worldmodels refer to AI models that learn a compact internal representation of their environment, enabling them to make predictions and decisions. OpenAI's exploration of Worldmodels exemplifies their holistic approach to AGI research, emphasizing the importance of understanding and simulating the real world.

OpenAI's Actual Plan and the Question of Sounding the Alarm

The document provides insights into OpenAI's actual plan for AGI development. The whistleblower expresses concern about the importance of sounding the alarm as AGI approaches. While OpenAI has made significant progress towards AGI, the question of when and how to raise concerns about its implications remains a matter of debate and consideration.

Mention of Paused GPT-5 Training and Sam Altman's Confidence in AGI

The document mentions the possibility of OpenAI pausing GPT-5 training. The reasons behind this decision are not entirely clear, but it suggests that OpenAI is continually reassessing and adjusting their AGI development plans. Despite potential setbacks, the whistleblowers claim that Sam Altman remains confident in OpenAI's ability to achieve AGI within the proposed timeline.

Discussion on New Scaling Paradigms and Scaling Laws

The document further explores new scaling paradigms and scaling laws in the context of AGI development. These paradigms and laws shape OpenAI's research and development strategies, guiding their approach to training larger models and utilizing increased compute power. By embracing new scaling principles, OpenAI aims to accelerate AGI development and surpass current AI capabilities.

Greg Brockman's Perspective on AGI

Greg Brockman, the Chairman and Co-founder of OpenAI, provides his perspective on AGI in the document. His insights shed light on OpenAI's vision and goals for AGI development. Brockman's perspective emphasizes the need for AGI to benefit all of humanity and the importance of responsible and ethical AI research.

Mention of an Open AI Researcher and the Superalignment Timeline

The document mentions an OpenAI researcher and their involvement in AGI research. This reference adds credibility to the claims made by the whistleblower. Additionally, the document touches upon the concept of a superalignment timeline, aligning OpenAI's progress with this theoretical framework. The superalignment timeline explains the various stages of AGI development and the potential challenges and benefits associated with each stage.

Introduction of Deepmind as a Channel for AI Breakthroughs

Deepmind is introduced in the document as a channel that covers the latest breakthroughs in AI, ranging from deep learning to robotics. Deepmind's contributions to the field of AI and its collaboration potential with OpenAI demonstrate the collaborative nature of AGI development. By sharing knowledge and advancements, OpenAI and Deepmind contribute to the collective progress in AGI research.

Encouragement to Subscribe and Provide Missing Information

The video concludes with an invitation to subscribe to the channel to stay updated on the latest developments in AI. Viewers are also encouraged to provide any missing information or insights they may have to contribute to the ongoing conversation surrounding AGI development.

OpenAI's Plan to Create AGI by 2027

The document reveals OpenAI's secret plan to create AGI by 2027. This ambitious timeline sets the stage for accelerated AGI development in the coming years. OpenAI's commitment to AGI research and their significant investments in the field position them as leaders in the race towards achieving human-level artificial general intelligence.

Training of a 125 Trillion Parameter Multimodal Model called Qstar

OpenAI's training of a 125 trillion parameter multimodal model called Qstar is highlighted in the document. This model represents a significant step towards the development of AGI. The training process, which began in August 2022 and finished in December 2023, showcases OpenAI's dedication to pushing the boundaries of AI capabilities.

Cancellation of Qstar Launch due to High Inference Cost

Despite the successful training of Qstar, the document reveals that the launch was canceled due to the high inference cost. This decision reflects OpenAI's commitment to responsible resource allocation and optimization. It also emphasizes the challenges that come with scaling AI models to massive parameter counts.

Development of GPT 4, a 100 Trillion Parameter Model

The document mentions OpenAI's development of GPT 4, a 100 trillion parameter model. This model represents a significant leap forward in AI capabilities and sets the stage for future advancements. GPT 4 is expected to outperform its predecessors and contribute to the overall progress in AGI development.

Use of Chinchilla Scaling Laws to Bridge Performance Gap

OpenAI's use of chinchilla scaling laws is discussed in the document as a method to bridge the performance gap. By adopting these scaling laws, OpenAI aims to optimize the efficiency and effectiveness of their AI models, enabling them to achieve human-level AI capabilities more rapidly.

OpenAI's Plan to Release New GPT Models Annually Until 2027

The document reveals OpenAI's plan to release new GPT models annually until 2027. This release schedule aligns with their goal of achieving AGI within the proposed timeline. Each new GPT model is expected to surpass its predecessor, pushing the boundaries of AI capabilities and inching closer to the development of AGI.

Expectations of Future Models Exceeding Human-Level AI Capabilities

The document raises expectations that future GPT models will exceed human-level AI capabilities. This prediction showcases OpenAI's confidence in their research and development strategies. As each new model is released, AI capabilities are expected to surpass those of humans, leading to new advancements and possibilities.

Significant Investments in OpenAI, including $10 Billion from Microsoft

OpenAI's AGI development has received significant investments, including a $10 billion contribution from Microsoft. These investments reflect the industry's recognition of OpenAI's potential and the importance of AGI research. The financial support positions OpenAI to continue pushing the boundaries of AI capabilities and accelerate AGI development.

Concerns and Debates within the AI Community about Safety and Ethical Implications

The document acknowledges the concerns and debates within the AI community regarding the safety and ethical implications of AGI development. Some AI researchers urge caution and transparency in AI development, emphasizing the need for responsible practices. These concerns highlight the importance of addressing potential risks and ensuring that AGI benefits all of humanity.

In conclusion, the whistleblower's revelation of OpenAI's AGI timeline from 2024 to 2027 presents a comprehensive overview of their plans and progress. While some information may not be easily verifiable, the evidence presented adds credibility to the claims made. OpenAI's commitment to AGI development, their use of new scaling laws, and their partnerships with organizations like Deepmind and Microsoft position them as key players in the race towards achieving human-level artificial general intelligence. As the debate surrounding AGI safety and ethics continues, it is crucial for researchers and industry leaders to collaborate and address potential risks to ensure the responsible development of AGI for the benefit of humanity.

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