I work as a consultant between several tech companies world wide; the message is clear -- if you're not utilizing AI tools, then you're going to fall behind competitors who do; it's that simple. Yesterday OpenAI released its latest version of ChatGPT -- 'GPT4. GPT-4's capabilities extend beyond content generation and dialogue design, offering gaming companies the potential to enhance their workflow and quality through bug auditing and code scripting assistance as well. Bug auditing is a crucial aspect of game development, as it ensures a smooth and enjoyable experience for players. GPT-4 can be employed to analyze code, identify potential issues, and suggest optimizations. By automating the bug detection process, developers can significantly reduce the time spent on manual testing and debugging, allowing them to allocate more resources to other aspects of game design and development. Furthermore, GPT-4 can assist with code scripting by generating code snippets and offering suggestions based on developer queries. This feature allows for a more efficient coding process and reduces the risk of human error, resulting in cleaner and more robust code. GPT-4's deep understanding of programming languages and logic can also help identify inconsistencies or redundancies, further optimizing the development process. In conclusion, GPT-4 can be a valuable asset to gaming companies in various aspects of the development process, including bug auditing and code scripting. By leveraging the power of this AI technology, developers can streamline their workflow, minimize errors, and create higher quality games that offer players an exceptional experience. Here are some specific ways you CIG can (should) use it; - Copy/Paste code and ask it to audit it for bugs, vulnerabilities, and even generate suggested code to improve existing code. - Construct storyline dialog that can be divergent or convergent to input of existing narratives - Automate customer support tasks, moderation, enquiries ect. - Generate and script new code for specific or broad use, and adapt to preferred dev language and deployment software Now to turbo-charge things -- combining GPT4 with 'Stable Diffusion' Stable diffusion is an image synthesis technique based on denoising score matching and contrastive divergence that can generate high-quality images by learning from data. This technology can greatly benefit design teams in the gaming industry by providing a new approach to generating game assets, concept art, and textures. Coupled with GPT-4, this combination can further streamline the development process, automating the creation and integration of visual assets into the game. Design teams can use stable diffusion to generate a wide variety of images by providing high-level descriptions or reference images. GPT-4 can then be employed to process and interpret these generated images, converting them into actionable information to create in-game assets. By understanding the semantic meaning of the images, GPT-4 can generate the necessary code, shaders, and textures to incorporate these assets directly into the game engine. Moreover, GPT-4 can assist in optimizing the generated assets for in-game use, ensuring that they adhere to performance constraints and platform-specific requirements. This may involve compressing textures, creating level-of-detail (LOD) models, or automatically generating collision meshes. The combination of stable diffusion and GPT-4 allows design teams to explore a vast array of creative possibilities without being limited by time-consuming manual processes. This enables developers to iterate and refine their designs more rapidly, leading to more innovative and visually appealing games. Furthermore, the technology can adapt and grow with the team's evolving art direction, ensuring a cohesive visual style throughout the development process. In summary, the integration of stable diffusion and GPT-4 can revolutionize the way design teams in the gaming industry create and implement visual assets. By automating the generation and integration of these assets, developers can focus on other aspects of game development, resulting in more polished and immersive gaming experiences for players. Workflow suggestion; - Use existing design/art concept images as the reference source for GPT4 to code into game assets - Create new design/art concepts with text prompt or even sketch something on a napkin and both tools can use that alone to generate new assets. The following is an example of asking GPT to code a new space ship asset in Python to export into Blender as a 3d model "import bpy import math # Clear existing mesh objects bpy.ops.object.select_all(action='DESELECT') bpy.ops.object.select_by_type(type='MESH') bpy.ops.object.delete() # Create the main body (cylinder) bpy.ops.mesh.primitive_cylinder_add(vertices=16, radius=1, depth=5) body = bpy.context.active_object body.name = "Ship_Body" body.location = (0, 0, 0) # Create the cockpit (sphere) bpy.ops.mesh.primitive_uv_sphere_add(segments=16, ring_count=8, radius=0.8) cockpit = bpy.context.active_object cockpit.name = "Ship_Cockpit" cockpit.location = (0, 0, 1.5) # Create wings (cones) bpy.ops.mesh.primitive_cone_add(vertices=3, radius1=0, radius2=2, depth=1) wing1 = bpy.context.active_object wing1.name = "Ship_Wing1" wing1.location = (0, -1.5, -1) wing1.rotation_euler = (0, math.radians(90), math.radians(-30)) bpy.ops.mesh.primitive_cone_add(vertices=3, radius1=0, radius2=2, depth=1) wing2 = bpy.context.active_object wing2.name = "Ship_Wing2" wing2.location = (0, 1.5, -1) wing2.rotation_euler = (0, math.radians(90), math.radians(30)) # Create the engine (cylinder) bpy.ops.mesh.primitive_cylinder_add(vertices=16, radius=0.5, depth=2) engine = bpy.context.active_object engine.name = "Ship_Engine" engine.location = (0, 0, -3) # Join all objects bpy.ops.object.select_all(action='DESELECT') body.select_set(True) cockpit.select_set(True) wing1.select_set(True) wing2.select_set(True) engine.select_set(True) bpy.context.view_layer.objects.active = body bpy.ops.object.join() # Rename the resulting object spaceship = bpy.context.active_object spaceship.name = "Spaceship" Granted, probably a crappy looking ship as it was only a very simple text prompt -- but it also took me less than 1 minute to produce this code. You can image the kind of things it could improve upon by giving it existing models as source references to then adjust the model with simple input requests. GPT4: https://chat.openai.com/chat?model=gpt-4 (Open only to subscribers currently, $20/month) Midjourney 5: https://www.midjourney.com/home/?callbackUrl=%2Fapp%2F (use to blend images together) Stable Diffusion: https://stablediffusionweb.com/#demo Below is an example of blending the constellation ship with the F7C hornet. enjoy https://www.youtube.com/watch?v=GeQ7lBUZIo0 I hope CIG finds this information and AI tooling helping, and does dedicate a small team to explore it more thoroughly with more complex API usecase. Thanks for your time reading, and im looking forward to seeing both team and community benefit greatly from utilizing these AI tools to better the game and game quality. Sidenote -- "Google-LM" will be releasing soon its "Image-to-music" and "text-to-music" AI tool very soon -- just another way to generate custom and quality music in an instant. See above for ref links;