AI Daily
AI Daily
Voyager AI Plays MineCraft, NVIDIA is a $1T Company, & Google SoundStorm

Voyager AI Plays MineCraft, NVIDIA is a $1T Company, & Google SoundStorm

AI Daily | 5.30.23

Welcome to another exciting episode of AI Daily! In today's edition, we have three captivating news stories lined up for you. First up, we have the remarkable achievement of NVIDIA, as they join the exclusive club of trillion-dollar companies like Amazon, Microsoft, and Apple. Next, we explore an intriguing project called Voyager. This innovative approach to training AI models in Minecraft using the GP4 framework has revolutionized the process. Our final story showcases Google's project SoundStorm, which introduces efficient parallel audio generation. This development allows for the rapid creation of audio by leveraging parallel processing. Join us for this episode of AI Daily as we dive deep into these captivating news stories and uncover the incredible potential they hold for the future.

Key Take-Aways:

NVIDIA Becomes $1T Company:

  • NVIDIA breaks trillion-dollar market cap, joining Amazon, Microsoft, and potentially Apple in an exclusive club.

  • NVIDIA's market leadership and monopoly status in the chip industry are clear, with their critical role in the AI ecosystem and impressive demos.

  • The future of microprocessors is promising, with potential for multiple trillion-dollar companies in the industry.

  • AMD poses competition in the enterprise market, but NVIDIA's focus on AI and scaling quickly may solidify their position. Other players may emerge in the next few years, including Apple, Google, Microsoft, and Meta, with their own in-house chips. The onshoring of chips in America may also contribute to the rise of upstart companies.


  • Voyager is a project in Minecraft where a GP4 model is trained by iterating on its own code base of skills, saving them in its memory for future use.

  • The use of LLMs and self-correcting error loops in Voyager resulted in faster progress in Minecraft compared to traditional reinforcement learning techniques.

  • The training and improvement of models like Voyager can be recursive, either internally with LLMs training LLMs or externally using pipelines and frameworks to continually enhance performance.

  • The approach taken in Voyager has potential applications in real-world robotics, where robots can learn and improve their skills by iterating on their own internal code. This recursive model has significant implications for accelerating AI development.


  • Google's project SoundStorm focuses on efficient parallel audio generation, allowing the generation of a significant amount of audio in a short time.

  • The model shows promise in terms of speed and quality, with the ability to generate 30 seconds of audio in just half a second.

  • Currently, the project is not publicly available, but Google is showcasing its AI projects, and it is expected that it will be accessible in the future.

  • The improved speed in audio generation opens up new possibilities for real-time applications, such as generating audio for NPCs in AI games.

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AI Daily
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