This AI entrepreneur is developing agents that can plan ahead for the unexpected
Ex-Google DeepMind researcher Danijar Hafner founded a stealth robotics startup applying world models and model-based reinforcement learning to humanoid agents.
Danijar Hafner, 31, left Google DeepMind in fall 2025 to found a stealth San Francisco startup developing humanoid robots that plan ahead using world models trained via model-based reinforcement learning. His prior work includes PlaNet, Dreamer 2 (first human-level Atari agent in a world model), Dreamer 3 (solved the Minecraft Diamond challenge), Dreamer 4 (learned diamond mining from offline video), and DayDreamer, which let robots adapt to novel situations without task-specific training. The profile covers his career from Google Brain intern to founder aiming to handle unfamiliar real-world environments.
NVIDIA Announces CUDA Rust with cuda-oxide (SIMT) and cutile-rs (Tile) for Compile-Time-Safe GPU Kernels
NVIDIA launches CUDA Rust via open-source cuda-oxide (SIMT) and cutile-rs (Tile), bringing compile-time-safe Rust GPU kernels.
NVIDIA announced CUDA Rust, making Rust a first-class language for GPU kernels through two NVlabs open-source projects: cuda-oxide for the SIMT model and cutile-rs for the Tile model. Both use Rust's ownership and borrow checker to catch buffer aliasing bugs at compile time. cutile-rs is published on crates.io, runs on stable Rust 1.89+ with CUDA 13.3, and is already used in Hugging Face's Grout inference engine and mistral.rs; cuda-oxide is early alpha requiring nightly Rust, CUDA 12.x, and compute capability 8.0+. cuda-oxide compiles Rust MIR through the community Pliron IR framework and LLVM to PTX, while cutile-rs JIT-compiles kernels via CUDA Tile IR.