Some of the researched/blogs mentioned here:
Eureka: Human-Level Reward Design via Coding Large Language Models
https://eureka-research.github.io/
Voyager: An Open-Ended Embodied Agent with Large Language Models
https://voyager.minedojo.org/
Wait, But Why?
The AI Revolution: The Road to Superintelligence
The AI Revolution: Our Immortality or Extinction
source
date: 2024-07-27 21:58:53
duration: 00:13:18
author: UCX6xikMVxBvmr3y-pYiMMmg
AI is getting SCARY good…
The future of artificial intelligence (AI) is looking increasingly unsettling. Researchers are making rapid progress in creating self-improving AI models that can learn, adapt, and evolve on their own. This trend is not just theoretical; we’re already seeing it in action.
One example is the "Voyager" project, where a team from Nvidia created an AI bot that could play Minecraft without human intervention. The bot, powered by the GPT-4 language model, was able to learn new skills and improve its performance exponentially. It even wrote its own code to complete tasks, demonstrating a level of autonomy that’s unsettlingly close to human intelligence.
Another example is the "Eureka" project, which used GPT-4 to teach robots to perform complex tasks, such as pen spinning and walking. The AI was able to write its own reward functions, which guided its learning process and led to impressive results.
The implications of self-improving AI are profound. If these models continue to advance, they may eventually surpass human intelligence, leading to a future where AI can improve itself without human oversight. This raises serious questions about the potential risks and consequences of creating autonomous, super-intelligent AI.
While we’re still years away from achieving this level of AI, the rapid progress being made is both exciting and unsettling. As we continue to push the boundaries of AI research, it’s essential that we consider the potential consequences of creating self-improving AI and take steps to ensure that these models are developed responsibly.
