britton winterrose
30.9K posts
@Winterrose
Startups at MSFT. angel investor early: @resend @gumloop @browserbase @extropic @t3dotchat @periodiclabs +34 more. late: @replit @convex_dev @lambdaAPI
Recipe for an incredible childhood: Stephen Biesty’s Cross section books
California hit a new low today.. 🤦🏻♂️ 🚨 Sheila Clark, President and CEO of the California Hospice and Palliative Care Association revealed there are literally BURRITO STANDS that are listed as Certified Hospice Facilities “How do you put a Hospice in a burrito stand in California? How do you put a hospice in a tire store? That all had to be vetted through licensure, certification, and accreditation.” rumble.com/v78u07e-burrit…
In this current economy, We consider this a valid crash out
SBF invested $200K into Cursor’s preseed and it would be worth about $2B today Courts liquidated the position for…$200K
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models. Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
We got sum interesting critters running for governor
GenRobot is packaging multimodal robot data collection into wearable hardware. They just launched a 6-camera bionic wearable to capture embodied AI data, addressing common blind spots in traditional monocular setups, such as occlusion and precise hand-object timing. That matters because embodied models do not learn from pixels alone. They learn from synchronized structure: head pose, hand motion, scene layout, and action timing living on the same clock. DAS Ego utilizes six 2MP cameras to achieve a zero-distortion 270° horizontal and 150° vertical FOV. This enables mm-level trajectory reconstruction and ultra-low latency (<1ms) head-hand coordination. What GenRobot is building is a cleaner way to record natural human interactions. To prove it, they open-sourced "Gen Ego Data," a first-person, human-centric dataset covering 20+ environments and 200+ skills. By capturing authentic interactions, it helps models learn physical laws and "perception-action-outcome" causality, providing core data support for real-world embodied AI deployment.
