Luke Hollis

RL+LLM now running in a minecraft sandbox in the Three.js ML-Agents agents use their trained policies as well as collaborate via an LLM to trade resources to achieve complex crafting tasks with a memory stream up on gh, can run locally with ollama & gemma3n

Working on the final rendering details of my fluid simulation. This is just the AO and shadow pass in grayscale, sometimes stripping it down shows the most. #WebGPU #threejs

This started as a Google Earth screenshot. Upscaled to drone-quality using a FLUX Kontext LoRA. No drone. No GPU. Just Glif. Here’s how to recreate it in under 60 seconds:

Trained directly on @insta360 X5 circular fisheyes with @NVIDIAAIDev 3DGUT, and rendered using a fisheye camera in the gsplat viewer. Princess of Wales Conservatory, Kew Gardens, London. #NVIDIA3DGUT #NVIDIASweepstakes #3DGS

RL interpretability self-driving car example added to Three.js ML-Agents Labelled features describe why self-driving car in NY makes each decision up on gh & deployed to train/test in browser

Taming the Edge: How lithium could help us control #fusion plasmas. This video captures the first flashes of lithium being injected into the #plasma of our ST40 tokamak, marking the start of our exploration into its effects. Why lithium? In fusion research, we aim for H-mode,…

General relativity 🤝 neural fields This simulation of a black hole is coming from our neural networks 🚀 We introduce Einstein Fields, a compact NN representation for 4D numerical relativity. EinFields are designed to handle the tensorial properties of GR and its derivatives.

Today, we're announcing a preview of ARC-AGI-3, the Interactive Reasoning Benchmark with the widest gap between easy for humans and hard for AI We’re releasing: * 3 games (environments) * $10K agent contest * AI agents API Starting scores - Frontier AI: 0%, Humans: 100%

two weeks in and Three.js migration of Unity's ML-Agents has 15 gh stars! any other requests for examples to include?

does anyone know people working on active video stabilization in Android? the Google Camera app has amazing stabilization, but not exposed in Android SDK asking for a friend

fish multi-agent RL eating food and running away from shark migrating ML-Agents from Unity to three.js+torch

working on traffic counterfactual examples -- created from a text prompt -- "measure traffic flow if we closed the bay bridge"

you can run causal inference and counterfactuals on my map simulator now still in progress, but experiment mode available -- studying the impact of ancient Roman development on modern France is interesting as an example reply / dm if you want to try it out built totally with…

little glowing neurons firing perpetually, threejs particle shader

RL traffic sim in progress w/Three.js + torch, migrated away from Unity working on intersections and parameters still, but it's live, you can test in browser

Training a glider to do dynamic soaring on wind thermals in Three.js migrating away from Unity ML-Agents, this was from a paper from one of my TFs

stressful day so I taught three.js to ride a bicycle

A captivating Three.js particle system that fluidly transforms through a series of abstract shapes. Features stunning WebGL visuals, Unreal Bloom effects, and interactive OrbitControls. Coded using Google Gemini 2.5 Pro. Source code/CodePen link in the comment below. 👇

brick break RL implemented in Three.js + torch, from Unity - ML agents wasn't actually in ML-agents, but we covered in section so was inspired