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Solarwinds: AI & Robotics: Automating Dangerous Jobs

Solarwinds
07/04/2026
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looking at robotics and automation and these things for replacing dangerous to human jobs, like we, I feel like we have less of those than we used to. Like, I mean, in the early, in the 1800s and the 1900s, there were certainly more dangerous jobs. We found safer ways to do things over the years and that kind of stuff. But I do think that there are enough jobs and responsibilities and things like that, that are dangerous, that those are the things that we should be looking at. And I do think, Sean, that for the time being, niche robots is where we have to stay until they can perfect the technology, until they can get to a place where the technology is good enough for that one job, that then they can start looking at implementing it into something else. It's like how we were talking about, not that long ago, we did an episode on agentic AI, and the thing that I like about agentic AI is that each agent, as in with these robots, would be built to do a specific job. It is so good at that one specific job or two, whatever its whole solution is. And I think that with robotics, we have to also be in that space because if you try to go too broad, too general, you don't have enough specific knowledge to make sure it is the best possible thing that it could be at the time of whatever knowledge you gave it. So that's, that's where I kind of think is interesting. I think that we could continue to, obviously we should continue to innovate and like make them better. Um, I don't believe in perfection. I don't think it exists. So anything, anything we learn should be then implemented into these things. So they're going to continually be iterated on, and I don't think there's anything wrong with that. That's technology. Yeah. Never give up. Always keep improving. Never surrender. Yeah. Never surrender. That was on my mind too. Never give up. Never surrender. Uh, okay. So you, uh, what is your, when you think of a robot, what's the robot that comes into your mind? What is your, what's the design? What's the one from media that's like, that's cool. Sonny's still kind of at the forefront of like what I think in its phase. From iRobot with Will Smith. Yeah. Talented. Sonny's there. So, no, I like, I don't know. I want the, I want it to be obvious that it's real. I said BBA, I think BBA it's a great, or, you know, R2, you know, somewhere in that realm of it looks like a robot. I want it to be a robot. It can have a personality and beeps and boops, but I don't want it to be, I don't want it to be humanoid in any way. I think that there's so much danger because of the way that the human psyche works in making our artificial intelligence be too much like real human intelligence and there's, we've already seen so many negative effects of this. And it's only going to get worse if we keep pushing for this. They're, they're just humans, but better because that's kind of what people want and I don't understand why. I think it's so risky and dangerous. I also think it's interesting in the same way that I think that we're in danger in AI of like getting to a point where we no longer have foundational knowledge. Robotics is also going to head that direction.

TL;DR

  • Robotics should prioritize replacing dangerous human jobs first, targeting high-risk roles where automation delivers the clearest safety benefit.
  • Niche, task-specific robots are more effective than general-purpose designs — mirroring the focused approach seen in agentic AI architectures.
  • Humanoid robots pose psychological and societal risks; the hosts argue robots should look and behave like machines, not people.

Summary

In this short TechPod segment, two hosts explore the role of robotics and AI in replacing dangerous human jobs. The conversation argues that niche, purpose-built robots are the right near-term approach — drawing a direct parallel to agentic AI, where each agent is designed to excel at one specific task rather than attempting broad generalization. The hosts caution against the push toward humanoid robots, warning that making artificial intelligence too human-like carries psychological and societal risks that are already becoming visible. They also raise a longer-term concern: just as over-reliance on AI risks eroding foundational human knowledge, robotics could follow the same trajectory. The segment closes on a note of pragmatic optimism — continuous iteration and improvement are the right path forward, even if perfection is unattainable.

Chapters

0:00 - Robots for Dangerous Jobs
0:33 - The Case for Niche Robots
1:52 - What a Robot Should Look Like
2:39 - Risks of Humanoid AI

Key Quotes

0:33 "I do think, Sean, that for the time being, niche robots is where we have to stay until they can perfect the technology, until they can get to a place where the technology is good enough for that one job."
0:53 "The thing that I like about agentic AI is that each agent, as in with these robots, would be built to do a specific job. It is so good at that one specific job or two, whatever its whole solution is."
2:39 "I think that there's so much danger because of the way that the human psyche works in making our artificial intelligence be too much like real human intelligence and there's, we've already seen so many negative effects of this."
3:11 "I also think it's interesting in the same way that I think that we're in danger in AI of like getting to a point where we no longer have foundational knowledge. Robotics is also going to head that direction."

FAQ

Why do the hosts prefer niche robots over general-purpose humanoid robots?

They argue that specialization allows a robot to be optimized for one job, making it far more capable and reliable. Going too broad means lacking the specific knowledge needed to perform any single task at the highest possible level.

What risk do the hosts associate with humanoid AI and robotics?

They warn that designing robots and AI to closely mimic human intelligence creates psychological dangers rooted in how the human mind responds to human-like entities. They also flag a risk of eroding foundational knowledge as dependence on these systems grows.


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