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Posting my latest YouTube video here! 🤖
It starts as a review of the reBot B601-RS, but dives into my vision for the future of robotics.
Imagine telling a robot what to do, pointing, or demonstrating a task, and having an AI agent figure out the rest.
Rather than one giant every joint, agents write code and orchestrate traditional control, vision, navigation, and learned policies as needed.
As AI gets smarter, the bottleneck shifts from intelligence to real-world context and communicating human intent.
0:00 Intro
1:30 Unboxing
3:55 Performance
5:20 AI + voice programming
7:30 Teleoperation
8:25 Learned physical AI policies
9:15 Agentic robotics
11:57 Verdict
It starts as a review of the reBot B601-RS, but dives into my vision for the future of robotics.
Imagine telling a robot what to do, pointing, or demonstrating a task, and having an AI agent figure out the rest.
Rather than one giant every joint, agents write code and orchestrate traditional control, vision, navigation, and learned policies as needed.
As AI gets smarter, the bottleneck shifts from intelligence to real-world context and communicating human intent.
0:00 Intro
1:30 Unboxing
3:55 Performance
5:20 AI + voice programming
7:30 Teleoperation
8:25 Learned physical AI policies
9:15 Agentic robotics
11:57 Verdict
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Last week I experimented with GPT-6 Astra controlling my robot arm.
The results were pretty incredible and reinforced a thesis I've been developing about the future of AI robotics.
Instead of giving an AI direct control of the robot's motors, I gave Astra a set of basic ense depth camera to observe its environment
- Linear movements within a bounded workspace
- A gripper with a fixed downward orientation
From there, I had Astra write its own robotics software, using YOLO for object detection and OpenCV for localization.
The result?
I can now give the robot a prompt like "arrange these blocks in a 2×2 grid," and it can identify their positions, plan the movements, and execute the task.
Here's what I think is interesting:
We're seeing increasingly capable multimodal LLMs that can reason about physical environments and write the code to interact with them.
Rather than relying exclusively on end-to-end "physical intelligence" models to directly control robot joints, we can use coding agents to generate deterministic robot programs that can be inspected, tested, and validated before execution.
There are still limitations.
Astra's coding and reasoning can be slow, sometimes taking 5-10 minutes to implement a new capability. But once that code works, the robot can execute it repeatedly without waiting for the model to regenerate it.
And modular software architectures are already helping reduce that iteration time too.
I believe this approach could be one of the fastest paths to bringing AI into real industrial robotics.
Imagine a factory where an operator describes what needs to be automated, and an AI agent observes the environment, writes the robot program, and iterates until the task works.
We're not there yet. But the building blocks are coming together.
The results were pretty incredible and reinforced a thesis I've been developing about the future of AI robotics.
Instead of giving an AI direct control of the robot's motors, I gave Astra a set of basic ense depth camera to observe its environment
- Linear movements within a bounded workspace
- A gripper with a fixed downward orientation
From there, I had Astra write its own robotics software, using YOLO for object detection and OpenCV for localization.
The result?
I can now give the robot a prompt like "arrange these blocks in a 2×2 grid," and it can identify their positions, plan the movements, and execute the task.
Here's what I think is interesting:
We're seeing increasingly capable multimodal LLMs that can reason about physical environments and write the code to interact with them.
Rather than relying exclusively on end-to-end "physical intelligence" models to directly control robot joints, we can use coding agents to generate deterministic robot programs that can be inspected, tested, and validated before execution.
There are still limitations.
Astra's coding and reasoning can be slow, sometimes taking 5-10 minutes to implement a new capability. But once that code works, the robot can execute it repeatedly without waiting for the model to regenerate it.
And modular software architectures are already helping reduce that iteration time too.
I believe this approach could be one of the fastest paths to bringing AI into real industrial robotics.
Imagine a factory where an operator describes what needs to be automated, and an AI agent observes the environment, writes the robot program, and iterates until the task works.
We're not there yet. But the building blocks are coming together.
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I'm more convinced than ever the Midwest is the best place to build a robotics startup
- Deep manufacturing talent
- Lower land & development costs
- Dense high-value manufacturing network
SF is giving us infinite intelligence
Now we use it to reindustrialize the American core
- Deep manufacturing talent
- Lower land & development costs
- Dense high-value manufacturing network
SF is giving us infinite intelligence
Now we use it to reindustrialize the American core
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Control a robot LIVE via YouTube chat!
I'm trying it out now and the responsiveness & latency is pretty impressive!
I'm trying it out now and the responsiveness & latency is pretty impressive!
🤖 You control the robot.
Type commands in chat and watch a REAL 7-DOF robot arm move in real time.
Can you make it grab the cube? Stack objects? Break it?🔴
LIVE NOW: youtube.com/live/QF7OO3HEN…
#Streaming #live #robotics #challenge #twitch #ai #physicalai #fun
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Watch reindustrialization happening LIVE
I am streaming some more PCB assembly RIGHT NOW! Come join the livestream and say hello! x.com/i/broadcasts/1…
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KuphDev retweeted
Formic raised $50M in Series B funding.
100+ facilities. 30+ states. 99.6% uptime. Now scaling physical AI onto real factory floors.
read it in @axios -
axios.com/pro/all-deals/…
100+ facilities. 30+ states. 99.6% uptime. Now scaling physical AI onto real factory floors.
read it in @axios -
axios.com/pro/all-deals/…
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Sometimes I take for granted how ahead of the curve the X community is
Went to a local entrepreneur night
AI uses cases cases I think of as “old and boring” are blowing minds:
- Prospecting leads w/ scraper APIs
- Predictive inventory management
- Even expense categorization
Went to a local entrepreneur night
AI uses cases cases I think of as “old and boring” are blowing minds:
- Prospecting leads w/ scraper APIs
- Predictive inventory management
- Even expense categorization
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KuphDev retweeted
My free daily drop in Onchain Rivals: @zacxbt, @KuphDev & @gghostbo4.
3 free cards every day. Use my code 5DXCZF for +100 $RIVALS.
onchainrivals.com/s/zac.html?r=5…
3 free cards every day. Use my code 5DXCZF for +100 $RIVALS.
onchainrivals.com/s/zac.html?r=5…
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