The Good Tech Companies - Tales Reveals Gaming AI: Enables Users To Build And Play Any Game
Episode Date: October 16, 2024This story was originally published on HackerNoon at: https://hackernoon.com/tales-reveals-gaming-ai-enables-users-to-build-and-play-any-game. Tales is an ambitious next...-generation gaming platform, powered by AI. Tales is pioneering crowdsourced generative AI within the gaming industry with its large w Check more stories related to gaming at: https://hackernoon.com/c/gaming. You can also check exclusive content about #gaming, #tales, #gamingwire, #tales-announcement, #ai, #crypto-gaming, #online-gaming, #good-company, and more. This story was written by: @gamingwire. Learn more about this writer by checking @gamingwire's about page, and for more stories, please visit hackernoon.com.
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Tails reveals gaming AI. Enables users to build and play any game, by GamingWire.
Palo Alto, California, October 16, 2024, GamingWire, Tails.
The popular AI gaming project spearheaded by a team of Stanford PhDs and game developers,
has today announced its innovative debut product,
a large world model, LWM, that can generate entire digital worlds using simple text-to-game prompts.
Tails intends to completely transform the world of gaming by enabling users to create fully functional games without the need for any development or game design experience.
The aim is to empower players to overthrow the gaming establishment.
http://www.youtube.com/.embed/.quoVGW8VCWVideo.https://www.youtube.com/.watch?v="quoVGW8VCWCompeting
with the world's leading studios,
Tails allows gamers to bring this vision to life by creating user-generated, interactive,
and immersive experiences. By crowdsourcing data, resources, and infrastructure, Tails IS
developing SIA, perhaps the most radical AI model to date. Building games in seconds with a text
prompt similar to how chatbots like
ChadGPT and Claude are powered by large language models, LLMs, which specialize in processing and
generating text-based outputs, Tails is building its own large world model designed for video game
creation. This LWM is capable of understanding and generating all components of a video game, from environments, physics,
3D models, and gameplay footage to NPC, non-player character, behavior, along with detailed metadata.
While an LLM learns language patterns by training on vast amounts of text,
NLM trains on gameplay data, video content, 3D assets, descriptive metadata, and feedback over time. This enables the LWM to understand
how games are structured, refining its ability to create complex game elements and mechanics.
Tails can output fully functional games by leveraging 3D engines, spatial reasoning
algorithms, and NPC behavior systems. With just a simple text prompt like,
make a first-person shooter in space, the LWM can generate the requested game, which is customizable and immediately playable.
The model essentially serves as a tool for procedurally generating games in real-time
and marks a substantial evolution from existing AI offerings.
Tails' outputs extend beyond games, with possibilities for virtual reality worlds,
interactive experiences, and immersive educational
tools, making this a diversified value proposition for potential future investors.
Greater than. Tails truly feels like something out of a sci-fi film,
and we can't wait to greater than make it a reality, said Jason Krupat, head of product.
The gaming industry is greater than in desperate need of a revolution,
and putting the power to create in the greater than hands of gamers could be the start of a new era of entertainment that
extends greater than far beyond games. A lack of resources should never get in the way of a
greater than creative spark, and empowering creators in this way means so much to us.
How does Tails learn? In one of the most ambitious crowdsourced projects in history,
Tails utilizes data, storage, and computational power to train its large world model.
To ensure the community are engaged and incentivized to build this together,
Tails is launching a rewards-based incentive system.
Users can submit anything from gameplay footage, in-game assets,
and extensive environment descriptions to form a fully transparent dataset,
which is tracked and documented to ensure provenance and preserve privacy. Greater than, the systems of the future
place increasingly stringent demands on greater than infrastructure and data, posing unique
challenges in the creation of a project greater than like Tails, and this calls for unique
solutions, said Viktor Uzanov, head of, community. This is why we've decided to bootstrap the power
of what could be greater than one of the fastest growing communities in tech. This is why we've decided to bootstrap the power of what
could be greater than one of the fastest-growing communities in tech. Why can't we take on the
greater-than-largest competitors in the industry by working together with gamers?
Tails will be ready for early access in November. For more information, please visit
https colon slash slash tails dot world slash dot about about Tales Tales is an ambitious next-generation gaming platform powered by AI. Tales iSpineering crowdsourced generative AI within the gaming
industry with its large world model. By crowdsourcing vast amounts of data and computational
power, the team including Stanford PhDs and game developers based out of Palo Alto are building one
of the world's most powerful AI models ever,
democratizing game creation and empowering creators to bring their vision to life with zero friction. To follow on social media, x, telegram, discord, tiktok, twitch, medium,
youtube contact head of community Viktor Uzanov tales pr at tales.world.
Tip this story was distributed as a release by GamingWire under HackerNoon's
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