High level tools to make the power of Geometry Nodes accessible to any user familiar with modifiers. The focus here is (opposite to builtin Geometry Nodes) to combine lots of options and functionality into one convenient package, that can be extended by editing the nodes, or integrating it into a node-setup, but is focused on being used without node editing.
Design: I started by generating cohesive concept images in Midjourney, with sleek white interiors with yellow accents to define the overall vibe.
Generate: Using World Labs, I transformed those images into fully explorable and persistent 3D environments in minutes.
Assemble: I cropped out doorways inside the Gaussian splats, then aligned and stitched multiple rooms together using PlayCanvas Supersplat, creating a connected spaceship layout.
Experience: Just a few hours later, I was walking through a custom interactive game level that started as a simple idea earlier that day.
The AI Toolkit UI is a web interface for the AI Toolkit. It allows you to easily start, stop, and monitor jobs. It also allows you to easily train models with a few clicks. It also allows you to set a token for the UI to prevent unauthorized access so it is mostly safe to run on an exposed server.
Over 600+ production-ready models for image, video, audio, 3D. Fal AI
Serverless / On-demand Compute
You don’t have to set up GPU clusters yourself. It offers serverless GPUs with no cold starts or autoscaler setup. Fal AI
Custom / Private Deployments
Support for bringing your own model weights, private endpoints, and secure model serving. Fal AI
High Throughput & Speed
fal claims their inference engine for diffusion models is “up to 10× faster” and built for scale (100M+ daily inference calls) with “99.99% uptime.” Fal AI
Enterprise / Compliance
SOC 2 compliance, single sign-on, analytics, priority support, and tooling aimed at enterprise deployment and procurement. Fal AI
Flexible Pricing
Options include per-output (serverless) or hourly GPU pricing (for more custom compute). Fal AI
Use Cases & Positioning
Useful for rapid prototyping or productionizing generative media features (e.g. image generation, video, voice).
Appeals to teams that don’t want to manage MLOps/infra — it abstracts a lot of the “plumbing.”
Targets both startups and enterprises — they emphasize scale, reliability, and security.
They also showcase that fal is used by recognized companies in AI, design, and media (testimonials on site
– player and number detection with RF-DETR – player tracking with SAM2 – team clustering with SigLIP, UMAP and K-means – number recognition with SmolVLM2
“The Lionsgate catalog is too small to create a model,” a source tells The Wrap. “In fact, the Disney catalog is too small to create a model.” … Another issue is the rights of actors and the model for remuneration if their likeness appears in an AI-generated clip. It is a legal gray area with no clear path.
3. Generative AI Fundamentals: Earn a skill badge by demonstrating your understanding of foundational concepts in Generative AI. https://www.cloudskillsboost.google/paths
7. Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model. https://www.cloudskillsboost.google/course_templates/538
This 2025 I decided to start learning how to code, so I installed Visual Studio and I started looking into C++. After days of watching tutorials and guides about the basics of C++ and programming, I decided to make something physics-related. I started with a dot that fell to the ground and then I wanted to simulate gravitational attraction, so I made 2 circles attracting each other. I thought it was really cool to see something I made with code actually work, so I kept building on top of that small, basic program. And here we are after roughly 8 months of learning programming. This is Galaxy Engine, and it is a simulation software I have been making ever since I started my learning journey. It currently can simulate gravity, dark matter, galaxies, the Big Bang, temperature, fluid dynamics, breakable solids, planetary interactions, etc. The program can run many tens of thousands of particles in real time on the CPU thanks to the Barnes-Hut algorithm, mixed with Morton curves. It also includes its own PBR 2D path tracer with BVH optimizations. The path tracer can simulate a bunch of stuff like diffuse lighting, specular reflections, refraction, internal reflection, fresnel, emission, dispersion, roughness, IOR, nested IOR and more! I tried to make the path tracer closer to traditional 3D render engines like V-Ray. I honestly never imagined I would go this far with programming, and it has been an amazing learning experience so far. I think that mixing this knowledge with my 3D knowledge can unlock countless new possibilities. In case you are curious about Galaxy Engine, I made it completely free and Open-Source so that anyone can build and compile it locally! You can find the source code inGitHub
