GTA IV with DLSS 5. Just a walk through Bohan after dark.
The headlights hit the wet asphalt and for a second it looks like someone filmed the street from the curb.
Modded gameplay from a game released in 2008.
RL for dexterous hands needs a huge number of samples. In PiHand, we first learn a latent space of hand–object interaction from data, then train RL policies inside it.
The result: 10x less training to match the best baseline, generalization to unseen objects, and catching and
We just raised a $60M Series B at a $1B valuation to build @daytonaio into the Agent Cloud.
@FirstMarkCap led the round, with all key existing investors and angels doubling down.
We're also thrilled to welcome the founders of some generational companies aboard, including
New continual benchmark just dropped! Excited to chug away at this, the models are good in some aspects but we are still far away from models making high fidelity 3d movies.
Introducing Blender Bench v1 (BBv1): a benchmark for frontier LLMs on 20 realistic 3D production workflows including animation, modeling, rigging, cloth & surfacing.
GPT-6 Astra leads overall; Claude Opus 5.5 wins modeling & cloth simulation.
