Generative AI: creating objects with machine learning

Roblox Debuts Generative AI Game Creation Tools

Technology dubbed generative AI has captured attention and investment over the past year by showing that algorithms can produce seemingly coherent text and aesthetically pleasing images when given a short text prompt. The technology relies on AI models trained with lots of data, in the form of text or images scraped from the web, and is also at work in the viral chatbot ChatGPT. Some AI researchers are experimenting with similar techniques for generating video and 3D content, but this is mostly at an early stage.

It will also help ensure users have a steady flow of content that’s relevant to them. This includes ID verification, bringing more accountability to creators and publishing requirements that create incentives to motivate creators to publish things that they believe will sell. Previously, the company announced Code Assist, an AI assistant in Studio Script Editor that suggests lines or functions of code as developers type, helping them code more efficiently and stay focused.

In both cases, we see a future in which even a beginner (such as myself for example – I’m a terrible artist!) can get a running head start as they look to bring their imagination to life in a Roblox experience. Being successful in Stock and creating the best content to meet customer needs requires expertise, taste, and imagination, no matter what tools you use. Generative AI images can tell new stories in creative ways when generative AI tools are used considerately and with good intentions. Apply your stock knowledge to approach new content opportunities with AI tools as part of your creative process. Generative Adversarial Networks modeling (GANs) is a semi-supervised learning framework.

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With this tool, any creator with access to Studio or our UGC program will be able to upload an image, have an avatar created for them, and then modify it as they like. Longer term, we intend to also make this available directly within experiences on Roblox. Image Generation is a process of using deep learning algorithms such as VAEs, GANs, and more recently Stable Diffusion, to create new images that are visually similar to real-world images. Image Generation can be used for data augmentation to improve the performance of machine learning models, as well as in creating art, generating product images, and more. Meanwhile, the AI code assist will allow users to create code through natural language prompts. In addition to generating code, the tool can also automatically summarize users code to create comments.

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Others may be more experienced with model design, but less experienced with code. In both cases, we see a future in which even a beginner can get a running head start as they look to bring their imagination to life in a Roblox experience, he said. Roblox, like many companies, believes it’s well equipped to use AI to help people who use its services.

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Until now, only select users and brands who had been approved as part of Roblox’s UGC Program could list and sell items. Roblox told Mashable that „working with Assistant is collaborative and iterative“ and enables creators to „provide feedback“ to Assistant which will then work to „provide the right solution.“ At its annual Developers Conference today, Roblox Yakov Livshits announced several new developments aimed at helping creators get more from the platform. Roblox isn’t actively in VR and AR yet, although Corazza says the company’s exploring many different types of platforms. But it’s pretty clear that these beginning steps for generative AI in 3D worlds are going to make a big impact on the metaverse, VR and AR soon enough.

roblox generative ai

Finally, a mesh-editing tool allows users to morph and adjust the model to make it look more like the version they are imagining. And all of this happens fast—within minutes—generating a new avatar that can be imported into Roblox and used in an experience. The first one acts as a generator (e.g. of an image), which is then provided as an input of the second network. The latter acts as a discriminator, being able to distinguish between a real image and an artificial one. The output of such a discriminator network can be seen as an error value, representing how much the image produced by the generator network looks artificial.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

The GitHub Copilot AI coding assistant was one of Microsoft’s earliest projects employing OpenAI’s large language models, and the  pair programmer has become very popular. On the visual front, Roblox creators have already started using text-to-image AI tools like DALL-E and Midjourney, and OpenAI recently opened a new dimension of creation through its POINT-E text-to-object generative AI  tool. Roblox has plans to encourage creators to embed all Yakov Livshits kinds of generative AI tools in its metaverse in addition to its home-grown features. Roblox created Code Assist to help users turn their concepts into code they can embed within a metaverse space or object. Corazza demonstrated how natural language gets translated into code by using Code Assist to change the color of an orb to red and then destroy it 0.3 seconds after a player touches it and surround the first orb with a grid of other orbs.

  • This research is open and publicly available for the community to experiment with and build upon, and we’ll continue presenting more information as we make more discoveries with it.
  • Corazza stated that while the company does not always suggest a perfect code, the environment that the platform created is a natural place to play around, discover new things, and produce imperfect, generative test cases.
  • StarCoder is one result of the BigCode research consortium, which involves more than 600 members across academic and industry research labs.
  • Users can develop games and experiences through Roblox Studio, which brings people together through the Roblox community.

It’s part of a multilevel approach to expanding the popular platform beyond games. Working with Assistant will be collaborative, interactive, and iterative, enabling creators to provide feedback and have Assistant work to provide the right solution. It will be like having an expert creator as a partner that you can bounce ideas off of and try out ideas until you get it right.


This allows them to find the common underlying meanings across media rather than overfitting to specific elements of a data set, such as color palettes or spelling. Users can describe environments, objects, lighting, terrain, and interactive behaviors to iterate visually. Roblox is also working on a tool to generate custom 3D avatars from images that can be imported and customized. Roblox also announced work on applying generative AI to its voice moderation to catch real-time violations of its rules.

This text filter system is great at detecting policy-violating language on Roblox since we’ve been optimizing this same filter system for years on Roblox-specific slang, abbreviations, and lingo. At the end of these layers of training, we have a model that’s capable of detecting policy violations directly from audio in real time. To make this possible, we are training AI models on Roblox’s avatar schema and a set of Roblox-owned 3D avatar models. One approach leverages research for generating 3D stylized avatars from 2D images.

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Developers using the material generator beta created 50% more physically based rendering (PBR) materials than those not using material generator. For developers, an application programming interface (API) supports building experiences for communication enabling synchronous avatar communication into any experience on Roblox. Roblox is offering a suite of API’s and functionality to support developers to build experiences for communication and connection.

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Working with Assistant is collaborative and iterative, creators can provide feedback, and Assistant will work to provide the right solution. If you are looking for a tent, it will go out on the Roblox marketplace and find several different kinds of tents you could use, Sturman said. For users, this creates deeper interaction that feels more like being together somewhere – your expressions, your voice and your movements. Developers will be able to take Roblox’s tech and use it in their applications. Sturman said this is a natural evolution of Roblox, where everyday communication with your friends and family is immersive and easy to use.

roblox generative ai

The room has good lighting, and they can talk and see each other’s facial expressions via the avatars and know how the other is reacting. Elizabeth is a culture reporter at Mashable covering digital culture, fandom communities, and how the internet makes us feel. Before joining Mashable, she spent six years in tech, doing everything from running a wifi hardware beta program to analyzing YouTube content trends like K-pop, ASMR, gaming, and beauty. You can find more of her work for outlets like The Guardian, Teen Vogue, and MTV News right here. From Marketplace updates to monetization, here’s what’s coming next for creators on Roblox.

We are also looking at using pre-trained text-to-image diffusion models to augment limited 3D training data with 2D generative techniques, and using a generative adversarial network (GAN)-based 3D generation network for training. Finally, we are working on using ControlNet to layer in predefined poses to guide the resulting multi-view images of the avatars. Material generation can be used to create high quality textures to apply to objects in-game.

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