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#4333 LLMs as a Supporting-Role for AGI

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#4333 LLMs as a Supporting-Role for AGI #4333  If LLMs are not the full solution for AGI, can they still be used to support AGI? Absolutely. While the debate rages over whether Large Language Models (LLMs) are a "plateau" or a "ladder" toward Artificial General Intelligence (AGI), the consensus among many researchers is shifting toward LLMs serving as a sophisticated subsystem rather than the entire brain. If we view AGI as a functional architecture rather than a single model, LLMs play several critical supporting roles: 1. The "Semantic Router" and Interface LLMs excel at mapping messy, natural language intent into structured logic. In an AGI framework, the LLM acts as the input/output controller , translating human goals into tasks that more specialized, "non-stochastic" systems (like formal logic engines or physics simulators) can execute. 2. World Knowledge Retrieval (The Library) AGI requires a vast understanding of human culture, history, ...
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#4332 SysML v2 SQLite3 Database

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#4332 SysML v2 SQLite3 Database #4332  Does SysML v2 have JSON and XML formats? Yes, SysML v2 significantly shifts how models are represented compared to v1. While SysML v1 was heavily dependent on XMI (XML Metadata Interchange), v2 introduces a more modern, flexible approach through the SysML v2 API and Services specification. Here is how JSON and XML fit into the SysML v2 ecosystem: 1. JSON (Primary Exchange Format) In SysML v2, JSON is the default format for data exchange via the standardized REST API. Kerml/SysML v2 API: The standard API uses JSON as the primary payload format for transferring model elements, relationships, and metadata between tools. Interoperability: Because it uses a standardized JSON schema, it is much easier to integrate with modern web technologies, databases (like Neo4j), and "Language Server Protocol" (LSP) implementations. 2. XML (Secondary/Legacy Support) While SysML v2 moves away from the heavy reliance on XMI seen in v1, XML is still sup...
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