@qasar
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qy.co I miss the old Qasar, not the new Qasar After many years of railing against going on Twitter/X, I'm finally ripping off the band-aid and getting on the platform. Applied Intuition has been awarded a contract by the @USNavy to scale Data Engine across its fleet.
As the infrastructure layer for maritime autonomy, Data Engine collects operational data through passive navigation capabilities installed on Navy ships.
Here’s how the loop works:
🔵 Collect data from ships at sea
🔵 Curate it and train perception models
🔵 Evaluate the models
🔵 Deploy them back to vessels over the air
The result is what one ship learns now reaches the entire fleet – a threat encountered by a single vessel is turned into an improved model and deployed over the air, so every ship can detect it.
Our goal is for each military service to run its own Data Engine, tailored to its domain and feeding into a common infrastructure.
Learn more about our work with the U.S. Navy here:
appliedintuition.com/blog/navy-data…View quoted post on X
The Cosign Awards judges:
- Qasar Younis (@qasar)
- Amjad Masad (@amasad)
- Anish Acharya (@illscience)
- Garry Tan (@garrytan)
- Scott Belsky (@scottbelsky)
- Josh Elman (@joshelman)
- Gagan Biyani (@gaganbiyani)
- Andrew Chen (@andrewchen)
- Shuo Wang (@shuooo)
- Avichal Garg (@avichal)
- David Haber (@dhaber)
- Fidji Simo (@fidjissimo)
- Steven Sinofsky (@stevesi)
- Ryan Hoover (@rrhoover)
- Justine Moore (@venturetwins)
- Olivia Moore (@omooretweets)
- Sriram Krishnan (@sriramk)
- Packy McCormick (@packym)
- Gokul Rajaram (@gokulr)
- Ben Silbermann (@8en)
- Lenny Rachitsky (@lennysan)View quoted post on X
When software shapes the car, what’s left for design?
The human. See how we’re building the next generation of intelligent cars with @Stellantis.
appliedintuition.com/blog/stellanti…View quoted post on X
Exploration is hard for RL when training high-DoF dex hands ✋
X-Reset makes generalist object-centric RL easier by resetting to human hand-object states 🙋♀️
We mitigate the exploration problem, and train a single policy to manipulate a variety of objects to any goal pose 🧵View quoted post on X
