Wist Labs is working on the ability to replay memories by superimposing video into an Augmented Reality environment.
With enough training data, AI could potentially allow you to “continue” a memory, or play out an alternate ending to it.
Today we are open-sourcing rbot - an end-to-end AMR simulation stack that make launching your ROS2 with Gazebo or Isaac sim as easy as three commands.
Try it today - https://t.co/o8sVRFhJn4
Introducing rbot, an open-source AMR simulation stack for ROS 2 Jazzy, Gazebo Harmonic, and Isaac sim.
Repo: https://t.co/3mV6d9tOXF
Demo: https://t.co/jdLuNtrKGa
We welcome your valuable feedback and contributions.
@OpenRoboticsOrg@ROSIndustrial
iRobot filed for bankruptcy last week. Anki shut down overnight. Jibo became a paperweight. Three case studies reveal why $300M+ in funding wasn't enough.
Read our latest blog -
https://t.co/4Ud9TvkblI
I've made that point before:
- LLM: 1E13 tokens x 0.75 word/token x 2 bytes/token = 1E13 bytes.
- 4 year old child: 16k wake hours x 3600 s/hour x 1E6 optical nerve fibers x 2 eyes x 10 bytes/s = 1E15 bytes.
In 4 years, a child has seen 50 times more data than the biggest LLMs.
1E13 tokens is pretty much all the quality text publicly available on the Internet. It would take 170k years for a human to read (8 h/day, 250 word/minute).
Text is simply too low bandwidth and too scarce a modality to learn how the world works.
Video is more redundant, but redundancy is precisely what you need for Self-Supervised Learning to work well.
Incidentally, 16k hours of video is about 30 minutes of YouTube uploads.