This is CRIS-0, Aether AI's first causal robotic intelligence system, operating in a real home. It reasons about how its actions will change the world, checks what actually happened, and adapts when reality doesn't go as expected.

We’ll be at #IROS2026# in Pittsburgh, Sept 28 to 30! At Booth #116#, we’ll be sharing our work on causal intelligence and the question of how AI can reason about actions and their consequences in the physical world. Come meet the team and tell us what you’re building. See you there! @ieeeiros

#IROS2026# conversations, continued after hours! On Sept 29, Aether AI and @abaka_ai are hosting Jazz Night in Pittsburgh. Join us for live music and a toast, while we talk about what’s next in AI. RSVP:

Ice cream sales and drowning accidents rise at the same time. Does eating ice cream cause people to drown? Of course not. Warmer weather drives both: people buy more ice cream, and more people go swimming. Temperature is the confounder. The same trap appears in model evaluation. “A new prompt improved performance by 15%.” But did the prompt actually improve, or did the test set just get easier? Real-world evaluations involve countless, often unobserved variables, making perfectly controlled experiments difficult or impossible. A change in query difficulty, distribution, or context can easily look like a model improvement. This is why causal evaluation matters. Instead of asking what changed together, it asks what the intervention actually caused. By accounting for confounders, we can distinguish genuine improvements from changes in the evaluation environment and make better downstream decisions. How does your team account for confounders across evaluation runs? #CausalAI# #CausalWorldModels#

Catch our founder @huang_biwei at AI Infra Signal hosted by OpenStages on Sep 12! She'll talk on “Causal World Models for the Next AI Paradigm” and explore how causality can help AI reason about how actions change what happens next. See you there!

“What if I do this action? What will happen?” That’s the core of counterfactual reasoning in Physical AI. Our founder @huang_biwei joined @CharlieFink and @VirtualTedS on @AIXRPodcast to talk 10+ years of causal AI research, how it’s shaping our causal world models, and why Physical AI is our first proving ground. Check out the full episode in the comments.

What makes a world model causal? As a robotic gripper closes around an object, the contact conditions change. Friction, grasp point, speed and angle can all affect the outcome. Our framework treats causality as an explicit system of causal variables, causal structure and causal dynamics in latent space. Which condition would you vary first? #CausalWorldModels#

Aether AI is building causal world models for real-world intelligence. We’re hiring across research, engineering, and robotics. Join a small team working across models, systems, simulation, and real-world machines. Explore open roles:

Two days at #AGISummit#. Countless great conversations. Thank you to everyone who visited our booth to learn more about our work at Aether AI, and to all who caught our founder @huang_biwei’s talk, “Unified Causal Intelligence: The Next Paradigm of AI.” Grateful to @agisummitai for bringing the community together. #CausalAI# #PhysicalAI# #WorldModels#

Machines’ understanding of humans is not just a perception problem. For robots, it becomes a question of action: what people are trying to do, how intention shows up in movement, and what changes in the physical world after action is taken. This is why causal world models matter for physical AI. Our founder @huang_biwei will join Forum 1: Machine Understanding & Human–Robot Coexistence at the Humanity & AGI Summit 2026 on July 12 at Stanford. Aether AI will also have a booth at the summit. Stop by if you’ll be there. #CausalAI# #EmbodiedAI# #Robotics# #WorldModels#

Aether AI has raised $20M in seed funding, backed by a group of leading global investors with deep expertise in artificial intelligence and frontier technologies. Founded by Prof. Biwei Huang（@huang_biwei）. We're building Causal World Models for Real World Intelligence. 🔗

Today is the day. Tonight, 9PM Beijing time(06:00 AM PDT), Prof. @huang_biwei goes live with Zhang Peng, Founder and President of @thegeekpark. Topic: Why causal world model is the next AI paradigm? LIVE conversation. No scripts. Straightforward take on where AI is heading. See you in the livestream! #CausalAI# #AetherAI# #BiweiHuang# #GeekPark#