sdallagasperina

4 ms·

1. 1.▲
   by sdallagasperina 1y ago

   I see the LLM not as the one giving direct commands, but as suggesting a path. An arbitration layer should always check whether that suggestion is safe, and if it isn’t, the system should fall back to a deterministic, well-tested behavior.
2. 2.▲
   by sdallagasperina 1y ago

   Great point, I believe safety has to be layered. The real challenge is deciding which agent is responsible for judging whether a command is safe to execute. For instance, MCP could enforce permissions, rate limits, and safe defaults, while
3. 3.▲
   by sdallagasperina 1y ago

   Thanks for the comment! We see the future of human–robot collaboration as being closely tied to how LLMs can translate verbal instructions into higher-level, longer-horizon commands. The goal here isn’t to “code faster,” but to make things
4. 4.▲
   by sdallagasperina 1y ago

   Exactly! With MCP, we’ve started to imagine a workflow where instead of digging through logs, you just ask “why isn’t the robot responding?” and get guided through the diagnostics. No need to memorize every ROS command. This isn’t just a br
5. 5.▲
   by sdallagasperina 1y ago

   This is a huge point. Even if you write the perfect kernel, the reality is that XR hardware is tied up in vendor drivers and NDAs. Without access to those, you end up reinventing the easy part while still locked out of the hard parts. Curio
6. 6.▲
   by sdallagasperina 1y ago

   I had the same reaction! “legacy baggage” is a vague phrase. Without examples (like specific subsystems or bottlenecks), it’s hard to see how a custom kernel helps XR more than existing lightweight or RT kernels. If the team has benchmarks
7. 7.▲
   by sdallagasperina 1y ago

   Really ambitious project, but I’m not convinced building a brand-new kernel is the best way to tackle XR. The hardest problems in AR/VR usually aren’t about the OS itself, but about latency, hardware drivers, and closed SoCs. Saying “w
8. 8.▲
   by sdallagasperina 1y ago

   The price point is definitely interesting: $3k without compute feels high if you compare it to hobbyist kits, but I think the target here is more for researchers/early-stage startups who want a standardized AI-native robotics dev kit o
9. 9.▲
   by sdallagasperina 1y ago

   Great question! I’m one of the collaborators on the project. Right now, the MCP server doesn’t “correct” hallucinations itself, but it enforces a strict tool interface: the LLM can only call valid ROS topics, services, or actions that actua