Software for dependable physical AI. Building Fraeno, a pre-deployment security gate for robot software updates.
San Fransisco, CA, USA
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DeepUbuntu Labs retweeted
Free for Mac, public beta. Install, sign in with Google, then just ask Muse.
getwand.app
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DeepUbuntu Labs retweeted
Muse on your iPhone can't see your Mac's screen and apps. But with Wand, now Muse can.
We gave Muse more powers. Try Wand.
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Wand lets Muse look at your Mac, and take virtually any actions for you, from your muse app on your iPhone.
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DeepUbuntu Labs retweeted
How a robot arm is controlled, explained for ML people new to robot learning. First of the explainers from my own speedrun.
Next one will be on ACT. Follow me to catch it.
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Software doesnβt care about physics. But robots have to obey them
Today, weβre launching Fraeno
Fraeno runs robot software updates in isolated CI/CD env's, detects behavioral regressions, & blocks bad deployments
Physics checks coming soon
beta test fraeno.com pls
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DeepUbuntu Labs retweeted
Thanks @Eric_Wallace_
Getting to work now. But, how do we maintain a balance between not violating TOS and responsibly testing capabilities?
Am I supposed to test only on my personal or my companyβs systems only?
Today we are releasing GPT-5.6-Cyber.
The model is our first large-scale attempt at directly improving capabilities for advanced cybersecurity tasks such as exploit development.
We are finding it to be really quite strong for accelerating defensive work. We are using it across our stack for red-teaming, and our security researchers have used it to find and patch a huge host of 0-day vulnerabilities in open-source software.
openai.com/index/expanding-dβ¦
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True. Reality has more dynamics that physics can simulate on paper.
sim-to-real transfer is still the biggest lie in robotics demos. your policy works perfectly in isaac sim, then the robot touches a real cardboard box and everything falls apart. the companies that close this gap will own physical AI. everyone else is making video games.
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DeepUbuntu Labs retweeted
itβs surprising to me how many people seem to not understand that great models are built with super high quality curated data
finding novel ways to create / get this data is a huge edge
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DeepUbuntu Labs retweeted
I will be attending YC Startup School 2026 in sf (July 25-26). if you 1) want to pitch your startup or 2) you are building autonomous vehicles-adjacent, or 3) you are building monitoring layers for AI agents, dm, let's have a coffee on me.
Also, If you are cracked, pitch your startup in the comments, might refer you.
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If you have been looking for the right way to onboard P4 (@perforce Helix Core) into your working ecosystem and you did not understand the existing documentation or @JaseLindgren 's YouTube tutorials, this is for you:
deepubuntu.com/blogs/perforcβ¦
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We just published a short blog about The State of Data in Autonomous Systems Today. Check it out at:
deepubuntu.com/blogs/state-oβ¦
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DeepUbuntu Labs retweeted
Hi,
If you are a decisionβmaker or any member of the technical team at any autonomousβvehicle, robotics, and industrialβautomation companies, pretty pls fill in our survey.
forms.gle/Jvt9Z6Po2CE3N9wPA
.
.
(pleaseπ)
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