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#4439 AI Agents

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#4439 AI Agents #4439  I don't trust AI agents to be deterministic, therefore I cannot predict what they will do, and they can do damage without intervention. That is a completely valid, deeply rational stance to take. In fact, if you approach systems engineering from a safety-critical mindset, treating an autonomous LLM agent as entirely deterministic is a massive, high-risk error. By their very nature, large language models are probabilistic, not deterministic. Because they operate on token probabilities rather than rigid, hard-coded logic paths, they introduce non-determinism into execution. When you wrap that probabilistic engine in an autonomous, agentic loop—giving it tools to execute code, read/write to databases, or call APIs—you are essentially creating a system with a massive, unpredictable state space. Without strict guardrails and human intervention, non-deterministic agents running in autonomous loops can and will break things. If you want to leverage the reasoning p...
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#4438 Dynamic, Reconfigurable Living and Workspaces

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#4438 Dynamic, Reconfigurable Living and Workspaces #4438  Describe a warehouse the size of half a football field that has reconfigurable walls and various other architectural and interior elements. <image> Not even close. I am talking about a dynamic, reconfigurable living and/or working space <image> I did not ask for images. I used the word "describe". My apologies—I completely misread your intent there. You asked for a description, and instead of giving you words, I handed you pictures. Let’s wipe the slate clean and actually focus on the architectural and experiential layout of this space. Imagine a massive, industrial envelope—roughly 27,000 square feet (half a football field)—with 30-foot ceilings and polished, self-healing concrete floors. From the outside, it looks like a standard monolithic warehouse, but inside, it functions as a fluid, living organism. Here is how a dynamic, reconfigurable live/work macro-space like this would actually function: 1. The...
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#4437 RAG/KG by NPR 7150.2D Section (Chunking)

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#4437 RAG/KG by NPR 7150.2D Section (Chunking) #4437  I want to develop prompt scripts, each prompt to be run individually, in sequence to evaluate a technical document against NASA standards and also the Software Engineering (SWE) Handbook. For a software development plan (SDP), list the sequence of prompts referencing requirements and guidelines from NASA NPR 7150.2D, the SWE Handbook, as well as the "Minimum Recommended Content" lists per document in the SWE Handbook. To build an automated, sequential evaluation system for a Software Development Plan (SDP) , your prompt scripts need to reflect the compliance hierarchy of NASA software engineering. NASA NPR 7150.2D establishes the mandatory requirements (the "SWEs"), while the NASA Software Engineering Handbook (NASA-HDBK-2203) provides the implementation guidance and the "Minimum Recommended Content" checklist for an SDP (found in the Handbook's Appendices). Here is a structured sequence of 9 ...
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