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

TL;DR

OpenAI is planning to create AGI by 2027, as revealed in a leaked document. The document discusses their training of a 125 trillion parameter multimodal model and the potential release of GPT-5 in 2025.

Transcript

so there was a recent document that actually apparently reveals open ai's secret plan to create AGI by 2027 now I'm going to go through this document with you Page by Page I've read it over twice and there are some key things that actually did stand out to me so without further Ado let's not waste any time and of course just before we get into this... Read More

Key Insights

• 🧠 OpenAI's plan to create AGI by 2027 aligns with their previous goal of building a human brain-sized model within five years.
• 📜 The leaked document suggests that OpenAI's current training of a 125 trillion parameter model is a step towards achieving AGI.
• 🖐️ The notion of a scaling paradigm, such as the chinchilla scaling law, may play a crucial role in optimizing the performance of large AI models.
• 😑 Major figures, such as Elon Musk and Jeffrey Hinton, have expressed concerns about the potential risks and dangers of AGI development.

Questions & Answers

Q: When is OpenAI planning to achieve AGI?

OpenAI aims to achieve AGI by 2027, as revealed in the leaked document.

Q: What is the significance of the 125 trillion parameter model?

The 125 trillion parameter model is being trained by OpenAI and is expected to exceed human-level performance, potentially leading to the development of AGI.

Q: What is the chinchilla scaling law?

The chinchilla scaling law suggests that training a model with more data can overcome suboptimal performance in an undertrained 100 trillion parameter model.

Q: How does the chinchilla scaling law affect OpenAI's plans for AGI?

The chinchilla scaling law suggests that training an AGI model with a higher parameter count and more data could result in superior performance and progress towards achieving AGI.

Summary & Key Takeaways

• OpenAI has started training a 125 trillion parameter multimodal model in August 2022, with the goal of achieving AGI by 2027.

• The launch of GPT-5 (formerly GPT-4.5) was cancelled due to high inference costs, but the model is said to have reached human-level performance.

• The document suggests a scaling paradigm called the "chinchilla scaling laws" that could bridge the performance gap of an undertrained 100 trillion parameter model.