AI Generated Minecraft Is Insane...

SomeOrdinaryGamers
1 Nov 202415:43

TLDRIn this video, Mudahar explores the latest in AI-generated gameplay, focusing on a model called 'Oasis' that recreates Minecraft entirely through AI without any traditional code. The AI generates the environment based on video data, creating a surreal, ever-changing landscape that feels dreamlike but struggles to maintain consistent game state. While impressive in concept, Mudahar questions its practicality due to technical limitations, high resource demand, and lack of stability, concluding that for now, traditional game engines are more efficient. He speculates on the future of AI in gaming but remains skeptical about its near-term viability.

Takeaways

  • 🎮 The video discusses AI-generated gameplay, specifically for Minecraft, running entirely in an artificial intelligence cloud with no original code from the game.
  • 🚀 The AI model, called Oasis, is described as the first playable AI model that generates open-world games frame by frame from keyboard and mouse inputs.
  • 💸 The project has raised over $100 million and aims to create a Transformer ASIC, Soo, which is claimed to be 20 times faster than Nvidia's H100s.
  • 🕹️ The gameplay experience is likened to dreaming, with the AI generating a changing environment based on training data rather than a stable game state.
  • 🌐 The AI generates video content in response to user inputs, but it struggles to maintain consistency and preserve state, leading to a dreamlike and often chaotic experience.
  • 🧠 The video compares the AI's behavior to how the human brain fires synapses during dreams, trying to make sense of disparate memories.
  • 📉 The creator expresses skepticism about the practicality and resource efficiency of AI-generated games, especially when compared to playing the actual game.
  • 🔮 There is a prediction that within a decade, the majority of internet content will be AI-generated, which raises questions about the future of content creation and consumption.
  • 🛠️ The video includes a demonstration of generating video footage using the AI model, which is resource-intensive and results in low-resolution, short clips.
  • 🌐 The AI model's inability to track state and its reliance on video data lead to a disjointed and unstable gaming experience, which may limit its appeal to AAA gaming companies.
  • 🔋 The video concludes with the opinion that while AI-generated Minecraft is an interesting concept, it may not be a sustainable or practical solution for the gaming industry.

Q & A

  • What is the title of the video?

    -The title of the video is 'AI Generated Minecraft Is Insane...'.

  • What was the previous video by Mudahar about?

    -The previous video by Mudahar was about playing Counterstrike in an AI model on a 490.

  • How does the AI model generate Minecraft gameplay?

    -The AI model generates Minecraft gameplay by running entirely in an artificial intelligence cloud, with no code from Minecraft running on a computer.

  • What is Oasis and how does it relate to AI generated gameplay?

    -Oasis is an interactive, explorable World model that generates video frame by frame from keyboard and mouse inputs, allowing users to play Minecraft in an AI-generated environment.

  • What is Soo and how is it related to the AI model discussed in the video?

    -Soo is a Transformer ASIC, a hardware component that the AI model uses for processing. It is said to be stronger than some of Nvidia's H100s and is part of a research project aiming to make AI-generated video games.

  • How long does the AI model allow for gameplay on its servers?

    -The AI model allows for 4 minutes and 51 seconds of gameplay on its servers.

  • What are some limitations of the AI-generated Minecraft gameplay?

    -Some limitations include the inability to maintain state, frequent changes in the environment, and the model's tendency to hallucinate and not preserve any form of state.

  • How does the AI model handle water in the Minecraft gameplay?

    -The AI model seems to have difficulty with water, as it does not calculate the player's interaction with water correctly, leading to the player dying in the game.

  • What is the comparison between the AI-generated Minecraft and actual dreaming?

    -The AI-generated Minecraft is compared to dreaming because the model, like the human brain during a dream, tries to make sense of the input data and create a coherent experience, even though it may not always be logical or consistent.

  • What is the prediction about the future of internet content in relation to AI?

    -The prediction is that within a decade, the majority of internet content will be AI-generated, with more focus on video content due to its increasing prevalence and data intensity.

  • What are the potential uses of the AI model for game developers?

    -The potential use for game developers is to generate open-world games without the need for traditional coding, allowing for new product categories in gaming, generative content, and education.

Outlines

00:00

🎮 Exploring AI-Powered Minecraft Gameplay

The speaker, Mudahar, introduces a unique gaming experience: playing Minecraft with an AI model. He previously tested an AI version of Counter-Strike, and now he's exploring an AI-generated Minecraft environment. In this experiment, there's no original Minecraft code involved; instead, an AI model generates the gameplay visuals based on previous footage, creating a surreal, ever-changing world. He describes the strange effects, like characters blending into the environment, and explains that while the visuals might initially appear realistic, a closer look reveals oddities. He highlights how this AI-based Minecraft experience differs from standard game engines, emphasizing that it's experimental and unpredictable.

05:02

💧 Testing AI-Generated Environments in Minecraft

Mudahar continues by describing his experiences interacting with the AI-generated Minecraft world. He struggles to find water in the simulated environment, which dynamically changes every time he moves, making it feel like a dream. He notes how the AI’s perception of reality is similar to a human's fragmented memory during dreaming, constantly shifting and morphing. Mudahar likens it to how the brain makes sense of disconnected images in dreams, adding that the AI’s training on existing Minecraft footage causes it to interpret the world unpredictably. He mentions his fascination with this phenomenon, as well as its potential to represent a dream-like experience.

10:03

📹 The Future of AI-Generated Video Content

Mudahar discusses the broader implications of AI-generated video content, noting that the majority of internet traffic is now video-based. He explores the potential of this technology to change fields like gaming, content generation, and education, although he remains skeptical of its practical application in gaming. He explains that AI-generated worlds can mimic video data but lack state retention, leading to unstable environments that reset with every movement. Mudahar raises concerns about the feasibility of using this technology in real games, as it currently cannot track consistent positions or objects within the world. He wonders if AI-generated video content will dominate the internet in the future, given the rise of AI-based media.

15:04

⚡ Challenges and Limitations of AI-Generated Minecraft

Mudahar concludes his exploration by addressing the challenges of AI-generated Minecraft. He highlights the model's heavy demands on hardware, noting that it required significant GPU resources to generate only a few frames. He questions the practicality of such an approach compared to traditional gameplay, as the AI struggles with maintaining stable environments and basic game mechanics. He suggests that this AI technology, while fascinating and perhaps useful for experimental purposes, lacks the functionality needed for mainstream gaming. Mudahar wraps up by humorously advising viewers to stick with regular Minecraft to avoid high electricity costs and frustrating gameplay. He remains skeptical about its viability for AAA gaming in the future.

Mindmap

Keywords

💡AI Generated Gameplay

AI-generated gameplay refers to video game scenes and mechanics created by artificial intelligence rather than traditional game coding. In the video, Mudahar explores an AI-powered version of Minecraft, where the game environment and interactions are created by an AI model rather than Minecraft’s original code. This highlights recent advancements in AI that make it possible to experience familiar games in a new, dynamic, and often unpredictable way.

💡Oasis

Oasis is the AI model discussed in the video, described as the first AI model that generates open-world game environments from scratch. Unlike traditional game engines, Oasis creates worlds based on video training data, without any prewritten game code. Mudahar uses this model to play a version of Minecraft where the world is constantly changing, akin to a dream sequence, showing both the potential and the limitations of AI-generated gaming experiences.

💡Runway AI

Runway AI is an advanced platform for creating and editing media using artificial intelligence, mentioned as a tool for generating game footage that mimics realistic graphics. Mudahar references it when discussing the broader trend of AI-assisted video content generation, noting how people are now using models like Runway AI to transform scenes from games like Grand Theft Auto into lifelike or surreal visuals.

💡Transformer ASIC

The Transformer ASIC, referenced as Soo in the video, is a specialized AI hardware component designed for high-speed data processing, especially for large-scale models. Soo enables the Oasis model to perform at speeds allegedly faster than Nvidia's top-tier GPUs. Mudahar mentions that this technology could make AI game generation faster and more efficient, underscoring the rapid advancements in AI hardware.

💡AI Model Hallucination

AI model hallucination is a phenomenon where AI generates unexpected or nonsensical outputs due to limited or ambiguous training data. In the context of the AI-generated Minecraft, Mudahar describes how the AI fails to maintain a stable game environment, with objects and locations constantly shifting, much like a dream. This 'hallucination' showcases the limitations of AI when attempting to simulate complex, coded video games.

💡State Tracking

State tracking refers to the ability of a game engine or system to keep track of game elements' positions and interactions consistently. Mudahar points out that Oasis lacks effective state tracking, as the AI-generated Minecraft world shifts unpredictably, making it impossible for the player to remain in one location or interact reliably with objects. This highlights a core limitation of video-driven AI models in gaming, where they struggle to maintain stable, interactive environments.

💡Dream-like Gameplay

Dream-like gameplay refers to a surreal, constantly changing game experience that lacks consistency, similar to the randomness of a dream. Mudahar notes that the AI-generated Minecraft environment feels dream-like, with objects and scenery morphing or disappearing as he looks around. This quality gives the experience an almost surreal quality, illustrating how AI can create novel but unstable gaming worlds.

💡Dead Internet Theory

The Dead Internet Theory is the idea that a significant portion of online content is generated by AI rather than humans. Mudahar references this theory when discussing the future of AI-generated content, suggesting that as AI capabilities grow, much of the internet might be dominated by algorithmically generated material. This points to the possibility of an internet landscape where AI-created content plays a major role, particularly in gaming, media, and social interactions.

💡AI Inference Workloads

AI inference workloads refer to the computational processes required for an AI model to generate outputs, like images or video frames, based on training data. Mudahar notes that video inference, or video generation, is especially resource-intensive, requiring much more processing power than text or image generation. This context helps explain why AI-generated video games, like AI Minecraft, are limited by current hardware and performance constraints.

💡Training Data

Training data is the foundational information used to 'teach' an AI model how to generate or recognize certain types of content. In AI Minecraft, the Oasis model relies on video footage of Minecraft gameplay rather than written game code. This data allows the AI to imitate Minecraft’s appearance and basic functions, though it struggles to create a stable or interactive experience. The video emphasizes the impact of data quality on the AI's ability to replicate or generate game worlds.

Highlights

Mudahar Two explores AI-generated Minecraft gameplay running entirely in an artificial intelligence cloud.

The AI model is capable of generating open-world games like Minecraft without any code from the original game.

Oasis, the AI model, generates video frame by frame from keyboard and mouse inputs, unlike traditional AI video models.

Soo, their Transformer ASIC, is a significant project that has raised over $100 million and aims to be stronger than Nvidia's H100s.

Users must connect to Soo's server and use their hardware to access the AI-generated gaming experience.

The AI-generated Minecraft allows for movement and interaction with the environment, albeit with some glitches.

The AI model struggles to maintain a consistent state, with the environment changing rapidly as the viewpoint shifts.

The experience is likened to dreaming, with the AI trying to make sense of the input data in a dreamlike manner.

The AI-generated environment lacks enemies and appears to be in peaceful mode, focusing on exploration.

Mudahar Two discusses the limitations of current AI models in tracking state and maintaining consistency in gameplay.

The AI-generated Minecraft is compared to lucid dreaming, offering a unique perspective on the nature of dreams.

The video highlights the potential for AI-generated content to become a significant part of internet traffic in the future.

Mudahar Two questions the practicality and resource efficiency of AI-generated games like Minecraft.

The AI model's performance on an RTX 490 is showcased, generating 31 frames in over 2 minutes.

Experiments with LSD dream emulator footage input into the AI model result in chaotic and surreal outcomes.

Mudahar Two concludes that while AI-generated Minecraft is impressive, it may not be practical for mainstream gaming.

The video ends with a call to simply play the original Minecraft instead of耗费ing resources on AI-generated versions.