The future of game development... has no game engine?
Summary
TLDRGoogle and Tel Aviv University's paper introduces a revolutionary neural network-based game engine, 'Game and Gen,' which generates real-time gameplay without coding. The technology, inspired by the 1993 classic 'Doom,' uses stable diffusion and reinforcement learning to simulate environments and player actions. While the engine is in its infancy, it hints at a future where game development could be transformed, with potential applications in robotics and real-time environment simulation.
Takeaways
- 🎮 Google and Tel Aviv University have published a paper on a new game engine called 'game and gen', which is entirely neural network-based and does not require traditional coding for level development.
- 🔮 The game engine uses stable diffusion .4 and a reinforcement learning agent to simulate real-time gameplay at 20 frames per second, including environment, collisions, and graphics.
- 👨💻 The script mentions John Carmack, the lead developer of Doom, who is now working on artificial general intelligence, highlighting the evolution of game development from 2D sprites to advanced AI-driven engines.
- 👽 The technology behind 'game and gen' is not yet practical for commercial game development, but it hints at a future where AI could generate game content dynamically.
- 🤖 The script suggests that the real-world application of this technology could be in robotics, where real-time environment simulation could train robots without the need for physical hardware.
- 🧩 The concept of 'auto-regressive drift' is mentioned, which is a challenge in maintaining the quality of gameplay over longer sequences in AI-driven engines.
- 🕊️ Google's Project Talent is introduced as a new device designed for humane capital punishment, showing the diverse applications of AI and robotics in society.
- 🚀 Elon Musk's Optimus robots, Nvidia's project Groot, and Google's investment in robotics research are cited as examples of the race to develop advanced humanoid robots.
- 🌐 The script ends with a philosophical reflection on the future of AI and robotics, suggesting that biological evolution may come to an end as machines start to outthink their creators.
Q & A
What significant development in the gaming industry was announced by Google and Tel Aviv University?
-Google and Tel Aviv University published a paper about 'Game and Gen,' the world's first entirely neural network-based game engine that can simulate environments, collisions, and graphics in real time without any traditional coding.
What is the difference between the graphics technology used in the original Doom game and modern 3D games?
-The original Doom game used 2D sprites rendered at fixed angles, a technique known as 2.5D graphics or billboarding, whereas modern 3D games use billions of triangles and linear algebra to render true 3D objects.
Who is John Carmack, and what is his contribution to the gaming industry?
-John Carmack is a legendary programmer and lead developer of Doom. He is known for creating Doom, Wolfenstein, and Quake, and for open-sourcing the Doom engine in 1997, which inspired a generation of new programmers. Currently, he is working on artificial general intelligence at Keen Technologies.
What is 'stable diffusion' and how is it used in the new game engine?
-Stable diffusion is a technology that the new game engine relies on. It is an augmented version of stable diffusion .4, trained to predict the next frame of a sequence based on past frames and actions.
What is the role of the reinforcement learning agent in the game engine?
-The reinforcement learning agent is trained to play the game and record itself, similar to an artificial Twitch streamer. It helps in addressing auto-regressive drift and maintaining the quality of gameplay over sequences.
What is auto-regressive drift, and how does the game engine address it?
-Auto-regressive drift refers to the decrease in the quality of gameplay over longer sequences. The game engine addresses this by using a model with a limited context window of about 3 seconds or 60 frames, which is sufficient for real-time gameplay in fast-paced games like Doom.
Does the new game engine make game developers obsolete?
-No, the new game engine does not make game developers obsolete. While it can generate new terrain, NPCs, and storylines, it is currently barely playable and has no practical application for the time being. It is expected to complement developers' work in the future.
What is the potential application of this technology in the future of game development?
-In the future, developers could use reinforcement learning agents to play and generate new content in games, combined with futuristic generative 3D models to create unique terrains, NPCs, and storylines on the fly.
What other industries could benefit from this technology apart from gaming?
-This technology could have real-world applications in robotics, where real-time environment simulation would allow robots to train rapidly without physical hardware.
What is Google's Project Talent, and how does it relate to the new game engine technology?
-Google's Project Talent is a new device designed for capital punishment, which is unrelated to the new game engine technology. It was mentioned in the script as an example of Google's investment in technology, but it does not have a direct connection to the game engine.
What is the potential impact of this technology on robotics and AI development?
-The technology could significantly advance robotics and AI by enabling rapid training of robots in simulated environments, potentially leading to more sophisticated and autonomous machines.
Outlines
🎮 AI-Powered Game Engine Revolution
Google and Tel Aviv University have unveiled a groundbreaking paper introducing 'Game and Gen', the world's first neural network-based game engine. This engine, showcased through a simulated environment of the classic game Doom, operates in real time at 20 frames per second without any traditional coding. The technology combines stable diffusion to predict game progression and a reinforcement learning agent to mimic gameplay. The implications of this advancement are vast, suggesting a future where game development could be significantly streamlined through AI, although current applications are limited and the technology is not yet ready for practical use.
Mindmap
Keywords
💡Game Devs
💡AI Doomers
💡Neural Network
💡Doom
💡2.5D Graphics
💡John Carmack
💡Stable Diffusion
💡Reinforcement Learning
💡Auto-regressive Drift
💡Robotics
💡Artificial General Intelligence (AGI)
Highlights
Google and Tel Aviv University published a paper on a neural network-based game engine.
The new game engine generates environments, collisions, and graphics in real-time without traditional coding.
The technology is showcased through a 2024 version of the classic game Doom.
Doom's 2.5D graphics technique, also known as billboarding, is explained.
John Carmack, lead developer of Doom, is recognized for his contributions to game development and current work in AI.
The game engine is based on an augmented version of stable diffusion .4 for frame prediction.
A reinforcement learning agent is used to play and record gameplay.
Google's combination of reinforcement learning and generative AI is highlighted in projects like Alpha Coder and Alpha Proof.
The challenge of addressing auto-regressive drift in the model is discussed.
The model's limited context window and its implications for real-time gameplay are explained.
The potential for this technology to make game developers obsolete is considered and refuted.
Future applications of the technology in game development, such as dynamic terrain and NPC generation, are speculated.
The real-world application of this technology in robotics and environment simulation is highlighted.
Google's Project Talent, a device for capital punishment, is mentioned with its humane design.
The current state of robotics with companies like Tesla, Nvidia, and Google is discussed.
The potential for AI and robots to outthink their creators and the philosophical implications are considered.
The video concludes with a reflection on the future of robotics and the end of biological evolution.
Transcripts
yesterday Google and Tel Aviv University
published a paper that put game devs and
AI doomers on life support what you're
looking at right now is not gameplay
from John CarX 1993 classic firstperson
shooter Doom it's actually a brand new
game from 2024 powered by game and gen
the world's first entirely neural
network based game engine the
environment the collisions and the
graphics are all simulated in real time
at 20 frames per second and not a single
line of code was written to develop this
level back in March Jensen Wong
predicted that most video game Graphics
could be generated by AI in real time
within 5 to 10 years if he's right when
GTA 7 comes out in 2042 just imagine
being able to run over billions of
unique NPCs across multiple parallel
universes sorry about in today's video
we'll find out how this black magic
actually works and whether or not it's
the future of game development it is
August 29th 2024 and you're watching the
code report before we can understand how
game and gen works we must first
understand Doom a game that was
revolutionary when it came out in 1993
three Not only was it a violent game
that moms hated but it was a huge
technical achievement in 3D gameplay
while the player runs around
obliterating demons from a 3D
perspective the enemies and objects are
actually just 2D Sprites rendered at
fixed angles this differs from Modern
games that use billions of triangles and
linear algebra to render 3D objects the
key takeaway here though is that Doom is
not a true 3D game and its underlying
technique is often called 2.5d Graphics
or billboarding in other words you take
a bunch of 2D images but skew and scale
them in ways that make it look like a 3D
environment it's genius so let's take a
moment of respect for its lead developer
and legendary programmer John carmac not
only did he create doom and Wolfenstein
and Quake but he opened Source the Doom
engine in 1997 which inspired an entire
generation of new programmers currently
he's working on artificial general
intelligence at Keen Technologies and
let's hope he gets there before Sam
Alman does but now that you understand
how Doom is just a bunch of 2D Sprites
game and gen becomes a little less
magical which is based on stable
diffusion it relies on an augmented
version of stable diffusion .4 which is
trained to predict the next frame based
on the sequence of past frames and
actions and the other big component of
the architecture is a reinforcement
learning agent which is trained to play
the game and record itself like an
artificial twitch streamer Google has
taken a lot of L's recently but it's
also been shipping some amazing Tech
especially when it combines
reinforcement learning with generative
AI like Alpha coder uses a similar
technique to beat virtually all
competitive programmers and Alpha proof
can beat almost all math olympiads but
when it comes to the game engine their
biggest challenge was addressing Auto
regressive drift where the quality of
gameplay starts to decrease over longer
sequences the model only has a limited
context window of about 3 seconds or 60
frames but in a fast-paced game like
Doom that's all you need for real-time
gameplay and despite the small context
it does keep track of health and ammo
based on the actions taken by the player
the big question though is does this
make game developers obsolete the answer
of course is no this game is barely
playable and the tech has no practical
application for the time being but in
the not so distant future you could
imagine a developer like Rockstar Games
using an RL agent to play the GTA world
combined with some futuristic generative
3D model they can spit out new terrain
NPCs and even story lines on the fly but
you really shouldn't be playing video
games because women find it the most
unattractive hobby for men the real
world changing application of Technology
like this is going to come in robotics
real-time environment simulation will
allow robots to train rapidly without
physical Hardware like when it comes to
Capital Punishment it's extremely hard
to gather enough data for a large model
well not anymore thanks to Google's
Project Talent the new device is
designed to be as Humane as possible
emitting soothing white noise and
putting prisoners on a cushioned seat
before its metallic Talons dig into
their necks and painlessly wrench their
heads off the figure 2 robot was just
released a few weeks ago Elon is
building Optimus robots Nvidia recently
unveiled project Groot Google's
investing heavily in robotics research
and they're all trying to make
Terminator like humanoid robots a thing
and if they succeed we'll have to put
yet another dollar in the arthury Clark
was right jar future does belong to the
robots biological evolution has about
come to its end they will start to think
and eventually they will completely
outthink their makers is this depressing
Yep this has been the code report thanks
for watching and I will see you in the
next one
関連動画をさらに表示
5.0 / 5 (0 votes)