guys @copperheadhq your app wont connect to my repo if it is from a github organisation only personal repos connect
dakshkt retweeted
Today, we're opening early access for AkaiEgo V2, a high-fidelity capture device designed for physical-world data collection.
After 500+ hours of real-world capture with AkaiEgo V1, we learned what breaks down when collection moves beyond the lab. V2 is built around those lessons.
Request early access, it's free :) - tally.so/r/GxOPVO
Learn more below 🧵
Lemme know if anyone needs a data sample
Today, we're opening early access for AkaiEgo V2, a high-fidelity capture device designed for physical-world data collection.
After 500+ hours of real-world capture with AkaiEgo V1, we learned what breaks down when collection moves beyond the lab. V2 is built around those lessons.
Request early access, it's free :) - tally.so/r/GxOPVO
Learn more below 🧵
Im watching
With all four of my eyes
Stay tuned at akaispace.xyz/blog
Akai Ego Stack Device blog coming soon 🚀🚀
First of many.
We’ve got some exciting things brewing in the lab around robotics + embodied AI.
If building frontier real-world intelligence sounds exciting, take a look—and reach out if you want to contribute.
Humanoids are entering their scaling-law phase.
The first wave of AI scaled on internet data.
The next wave of embodied AI / VLA models must scale on real-world action.
Which means the bottleneck is no longer just compute.
It's the infrastructure behind physical AI:
capture, multimodal data, action recovery, replayable environments, closed-loop training.
At Akai Space Labs, we're building towards this through the AkaiEgo stack:
Capture -> Scaling Ops -> Data Pipeline -> Closed-loop Training
We wrote a deeper breakdown on why the next AI infrastructure layer will be built around reality itself.
Read: akaispace.xyz/blog/
