Max Cleary

Creative AI & Gaming at Google DeepMind / Ex-Unity / Former Top 40 artist

[Canessa 💫💫 @CanessaDCL]

“Happy Funland” created using @CSM_ai

Fun fact: it took longer to create this 50 second video than it did to create this world! 😳 (Not joking)

CSM_ai requires no coding or modeling skills, making it perfect for the Hackathon in @decentraland Come visit at Canessa.dcl.eth 🤡

[Max Cleary @max_cleary]

@alex_prompter guide

[Decentraland @decentraland]

Ready to explore how AI is changing the way we build?

Learn how creators are using AI tools and vibe coding to bring their ideas to life with @max_cleary of @CSM_ai, @_JonathanBreton of @DoraHacks, @ginocingolani and @toxicwaifudcl of @DecentralandDAO, and @CanessaDCL of @cbdecentraland.

📅 Wednesday, Oct 22
⏰ 7PM UTC
LIVE here on X

A part of the Bring Your Vibe Hackathon presented by Regenesis Labs

[Decentraland @decentraland]

The @CSM_ai team is joining the Vibe as an official partner of the Decentraland Bring Your Vibe Hackathon presented by Regenesis Labs 🚀

To celebrate creative builders and lower barriers to entry, CSM is offering a $600 bounty in platform credits for the best project using their tools to generate 3D assets for the hackathon.

[Max Cleary @max_cleary]

@Mho_23 hormozi

[Max Cleary @max_cleary]

@mikefutia Sora

[Max Cleary @max_cleary]

@samruddhi_mokal Sora

[Max Cleary @max_cleary]

I've been a massive fan of Decentraland since the metaverse craze started during Covid.

Today, I'm part of their Art Week program, speaking at 12pm, then running a workshop on AI worldbuilding at 4. Here's the X space! https://t.co/piusOFwvn6

[Common Sense Machines @CSM_ai]

CSM Cube delivers industry-leading model quality, topology, parts, and AI re-topology, providing a significant advantage for workflows from quick prototypes to full production.

[Tejas Kulkarni @tejasdkulkarni]

Special thanks to @GoogleDeepMind for inviting me to try out Genie 3. I'm excited to share my thoughts on this early research prototype and also some of my live recordings below:

I spent the whole day playing with the system and when it works, it is truly mind blowing🤯. It is the first neural game engine / world model I have tried that generalizes so well and has long term world consistency. Here’s a couple of examples from my live recording and some thoughts on what it means for the future of gaming, robotics, digital experiences and ASI.

Where it shines:
- Truly general-purpose and quick startup time. Works exceptionally well for gaming environments but also generalizes to other industrial and real-world scenarios.
- It learns physics. Although there are systematic failures even for rigid body physics, it was clear to me that it can learn game engine and non-rigid physics without an underlying engine (and in limit learn from game engines via training data).
- It works exceptionally well for stylized environments with characters walking around. This will have implications for concept artists, level designers and game devs.
- It is way more fun than video models, indicating that there are high retention consumer experiences waiting to be built with this in the future
- Photorealistic walk throughs and drone shots work exceptionally well
- Global illumination and lighting works surprisingly well
- Visual memory is quite powerful and the same objects approximately remain coherent under occlusion and longer time horizons

Open Problems:
- Physics is still hard and there are obvious failure cases when I tried the classical intuitive physics experiments from psychology (tower of blocks).
- Social and multi-agent interactions are tricky to handle. 1vs1 combat games do not work
- Long instruction following and simple combinatorial game logic fails (e.g. collect some points / keys etc, go to the door, unlock and so on)
- Action space is limited
- It is far from being a real game engines and has a long way to go but this is a clear glimpse into the future.

The Future:
- It is impressive enough for me to have strong conviction that this is going to disrupt the gaming industry. It is super early days and there are a lot of failures but the writing is on the wall. Lots of challenging scientific, engineering and scaling problems to be solved but it is going to happen in the next 5 years.
- This is the final piece before we get full AGI and now I think we are well on our way to truly solve it once something like this is scaled up. In many ways it is more ASI than AGI but this is a matter of definitions. The fidelity and generalizability will reach human-level and quickly surpass humans
- People are going to combine this with 3D AI and LLMs to build AAA games.

[Common Sense Machines @CSM_ai]

We are thrilled to release the next leap in art-grade 3D generative models. Our single-click model pipeline gives unprecedented mesh outputs, with mesh parts-based topology. It is available now for all Cube tiers to start for free.
☑️ Our multi-stage hierarchical AI models produce a fully assembled 3D mesh with adaptive poly-counts, providing the clean, separated topology you need.
✅ A parts-based approach enables high-resolution meshes.
🌐 Quad and Triangle mesh support.

Access now: https://t.co/syFkGvNNmh

[Common Sense Machines @CSM_ai]

[New 3D Superpowers for All]

All free users now get trial access to our 2M poly models before upgrading 🚀

Get a high-resolution mesh with nearly 2 million polygons (no textures), plus a decimated version optimized for UV mapping with textures. Enjoy!

[Max Cleary @max_cleary]

@CSM_ai love this

[Common Sense Machines @CSM_ai]

Excited to be featured on Meta's AI blog! Meta highlights how our team at Common Sense Machines leverages their open-source Segment Anything Model (SAM) within our 3D AI pipeline, enabling fast generation of compositional, near production-ready 3D assets 🎨🚀.

This integration empowers experts to precisely control 3D generative AI outputs and significantly reduces the barrier to entry for professional-grade 3D content creation.

Link below 👇

[Common Sense Machines @CSM_ai]

We are thrilled to release Chat-to-3D on CSM AI, to enable unprecedented mesh quality and controllability. This entire character was prompted end-to-end using this release.

🛠️ Automatically generate parts for complex assets
🌐 Generate T-pose outputs from any input
🎨 Generate style variations in one-shot

Image generation is powered by gpt-image. Available to all users (creative pro+ members get highest resolution outputs).

[Common Sense Machines @CSM_ai]

We are incredibly excited to partner with @3DCloudPlatform to accelerate 3D production workflows for furniture and DIY retailers.

"Our collaboration will reduce the timeline for 3D content creation by at least half" - Beck Besecker, CEO - 3D Cloud

Press release link below ⬇️

[Max Cleary @max_cleary]

@CSM_ai @3DCloudPlatform 🔥

[toolnav.ai @toolnav]

top 5 AI Websites for 3D Concept Design.
Which one do you like? Which one have you used?
@CSM_ai @Vizcom_ai @DeepMotionInc @Wirestock

[Common Sense Machines @CSM_ai]

3D controllable AI video generation, now with moving characters.

All environmental props are AI-generated without edits, while the character is composed of AI-generated parts with edits on top by an artist.

Image to 3D sculpt: @CSM_ai
Synthetic rendering: @Blender
Video-to-Video: @runwayml

[Common Sense Machines @CSM_ai]

Today we're releasing Common Sense Agents, a new backbone for agentic creative computing:
💻 Windows VMs for safe and repeatable workflows
🔧 Long workflows broken down into reusable tasks
🦾Support for off the shelf agents like Claude
⌛️ Data recording + finetuning infra