A lot of great work happening here @sundayrobotics. Check out the latest model ACT-2, that can learn new behavior from a single example, and achieve 99.1% accuracy.
Interesting to hear about @bscholl’s “Confusion List”, where he kept track of topics that he didn’t fully understanding at first principles. He’d try to take an item off that list each week, except this list kept growing, but he still found it useful.
Startup School is great so far! Looking forward to tomorrow.
@ycombinator@boomsupersonic
Sunday Robotics CEO @tonyzzhao believes home robots only need to master a handful of chores before they become indispensable.
"What is the minimum number of tasks that a robot needs to do to justify its own existence so that people love having it in their homes? I actually think the list is pretty short. The tasks are pretty repetitive. You just need to learn it and just keep doing that over and over again, like folding shirts or loading dishwashers."
We just hit a weird milestone: our model became more reliable than your average home WiFi.
Just like everybody else, we thought cloud inference was the obvious choice. Yet 2 days into the ACT-2 eval, our mind completely changed.
If our hero @ArpitKalla didn’t cook, this video wouldn’t exist 🧵
A lot of great work happening here @sundayrobotics. Check out the latest model ACT-2, that can learn new behavior from a single example, and achieve 99.1% accuracy.
A lot of great work happening here @sundayrobotics. Check out the latest model ACT-2, that can learn new behavior from a single example, and achieve 99.1% accuracy.
Sunday Robotics said its Memo robot, using the ACT-2 AI model, achieves 99% success in folding laundry in various settings. The company plans a beta release this fall. https://t.co/tzEJ47m1eW