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    <title>DEV Community: Wesley torres de oliveira</title>
    <description>The latest articles on DEV Community by Wesley torres de oliveira (@wesley_torresdeoliveira).</description>
    <link>https://dev.to/wesley_torresdeoliveira</link>
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      <title>DEV Community: Wesley torres de oliveira</title>
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      <title>Just published my first proposal on AGI Architecture. I'm looking for honest feedback on the 'Mediator Agent' concept. Does this structure make sense to you?</title>
      <dc:creator>Wesley torres de oliveira</dc:creator>
      <pubDate>Tue, 16 Dec 2025 20:27:04 +0000</pubDate>
      <link>https://dev.to/wesley_torresdeoliveira/just-published-my-first-proposal-on-agi-architecture-im-looking-for-honest-feedback-on-the-1l3d</link>
      <guid>https://dev.to/wesley_torresdeoliveira/just-published-my-first-proposal-on-agi-architecture-im-looking-for-honest-feedback-on-the-1l3d</guid>
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</description>
      <category>ai</category>
      <category>machinelearning</category>
      <category>architecture</category>
      <category>discuss</category>
    </item>
    <item>
      <title>The "Triad Protocol": A Proposed Neuro-Symbolic Architecture for AGI Alignment</title>
      <dc:creator>Wesley torres de oliveira</dc:creator>
      <pubDate>Tue, 16 Dec 2025 20:16:41 +0000</pubDate>
      <link>https://dev.to/wesley_torresdeoliveira/the-triad-protocol-a-proposed-neuro-symbolic-architecture-for-agi-alignment-kff</link>
      <guid>https://dev.to/wesley_torresdeoliveira/the-triad-protocol-a-proposed-neuro-symbolic-architecture-for-agi-alignment-kff</guid>
      <description>&lt;p&gt;The Problem: Hardcoding Morality 🤖&lt;br&gt;
We often try to solve AI alignment by "hardcoding" rules or using RLHF (Reinforcement Learning from Human Feedback) on a monolithic model. But as models scale, they become black boxes that can learn to game the reward system (Goodhart's Law).&lt;br&gt;
​&lt;br&gt;
I've been theorizing a structural solution tailored to solve the Grounding Problem. Instead of one giant brain, I propose a multi-agent system separated by function.&lt;/p&gt;

&lt;p&gt;​The Proposal: A 3-Agent System (The Triad)&lt;br&gt;
​As visualized in the cover diagram, this architecture splits the cognitive load into three distinct roles:&lt;br&gt;
​&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;The Philosopher Agent (Semantics) 📚
​•Role: Defines the "Why".
​•Training: Trained purely on ethics, philosophy, and abstract concepts.
​•Limitation: It cannot write code or execute actions. It only outputs high-level directives (e.g., "Preserve system integrity without halting critical processes").
​&lt;/li&gt;
&lt;li&gt;&lt;p&gt;The Coder Agent (Syntax) 💻&lt;br&gt;
​•Role: Executes the "How".&lt;br&gt;
​•Training: Pure logic, math, and code optimization.&lt;br&gt;
​•Limitation: It is blind to the "meaning" of its actions. It only cares about efficiency and solving the requested variable.&lt;/p&gt;&lt;/li&gt;
&lt;li&gt;&lt;p&gt;The Mediator Agent (The Bridge) 🔗&lt;br&gt;
​This is the core of the proposal. A specialized model trained to translate Semantic Concepts into Architectural Constraints.&lt;/p&gt;&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Practical Example: "Digital Pain"&lt;br&gt;
​If we want an AGI to understand self-preservation, we usually just give it a negative reward (score = -100) when damaged. The AI sees this merely as a number to be minimized.&lt;br&gt;
​In the Triad Protocol:&lt;br&gt;
​&lt;br&gt;
•Philosopher: Defines "Pain" as "An urgent interruption that demands attention."&lt;br&gt;
​&lt;br&gt;
•Mediator: Translates this definition into a Hardware Interrupt command.&lt;br&gt;
​&lt;br&gt;
•Coder: Receives a system-wide resource lock. It must fix the damage to free up its own compute resources.&lt;br&gt;
​&lt;br&gt;
Result: The system exhibits an emergent behavior of agony/urgency. It fixes itself not because of a math penalty, but because the damage functionally limits its agency.&lt;/p&gt;

&lt;p&gt;Discussion:&lt;br&gt;
​I believe separating Intent (Semantics) from Execution (Syntax) via a Mediator is the safest path to AGI.&lt;br&gt;
​I'd love to hear feedback from the engineering community on this Neuro-symbolic approach. Does this structural separation make sense to you?&lt;/p&gt;

</description>
      <category>ai</category>
      <category>machinelearning</category>
      <category>architecture</category>
      <category>discuss</category>
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