I’m sensing deep despair in academics over the past week. Astra, Fable, Muse are zero-shotting benchmarks in robotics & world models.
Uneasy pill to swallow, but this is what step jumps in progress looks like.
One day the fly brain will solve the SF housing crisis.
Today I trained the male fly connectome to find me an apartment with 50,000 neurons. Pre-revenue, but both the fly and I are very motivated
One day the fly brain will solve the SF housing crisis.
Today I trained the male fly connectome to find me an apartment with 50,000 neurons. Pre-revenue, but both the fly and I are very motivated
For the first time, scientists have mapped the complete brain and central nervous system of an adult male fruit fly — a key model organism in science. 🪰
Working alongside HHMI Janelia Research Campus and the scientific community, @GoogleResearch scientists and researchers used AI to combine millions of 2D images into 3D neural shapes, reconstructing a record-breaking 166,000+ neurons. This foundational map of the adult male fruit fly brain can help accelerate our understanding of the brain, and is a major milestone in neuroscience.
two fruit flies. one chessboard. checkmate in 9 turns.
I built this with the fly anatomy and MuJoCo joint poses, with every move validated by python-chess.
white's queen captures f7 on white's fifth move. 5. Qxf7#.
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.
Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
A great step toward better measurement and verification. 🙏
But if the “third-party evaluators” are handpicked to endorse the lab’s regulatory agenda, that won’t give us independent scrutiny.
AI isn’t going away. Barring unprecedented global government coordination, it isn’t even slowing down.
The only real decision is whether to centralize power, or disperse it.
Do you fear the technology? Or a small number of people controlling the technology?
My thoughts on Astra vs VLAs
Astra appears stronger at spatial reasoning and long-horizon planning. VLAs are optimized for fast, reactive control.
Robots need slow reasoning, fast world models, and fast control.
Was GPT-6 Astra trained on robot data? Got me curious.
Borrowed @chooi_jeq's code, ran an open-loop rollout on a MolmoAct2 dataset trajectory to find out.
Here's what came out 👇
+ Astra is really good at humaniod fleet coordination like why have one body when you can have many 🤪
Astra is able to reason through the failure modes and rewriting the controller code to coordinate the fleet better. Check out https://t.co/LUXqngv9a8
GPT-6 Astra did not solve embodied tasks. But it suggests a more consequential possibility: robotics may inherit the scaling curve of general intelligence. (Embodied intelligence as a downstream capability, perhaps.)
The model that eventually gets us there may not begin as a specialized robot model. It may be a general-purpose model that becomes intelligent enough to understand the physical world, reason about action, and translate its decisions into closed-loop control of a physical body.
Could a robot body become just another interface for a general agent? Like a computer, only much harder. Astra points in exactly this direction, making agentic robotics feel far more promising.
Full analysis of how GPT-6 Astra acts through a body: https://t.co/Q11RdR8949
@synopsi 100% memory invalidation is so hard. I tried exploring recency + frequency + relevance across episodic, semantic, and procedural memory to define the invalidation policy then gave up 😅