Professor Codephreak

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Professor Codephreak Software Engineer Machine Learning Platform Architect

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I Shipped the Fix. The Campaigns Still Read Zero. Here’s What That Taught Me.

A field report from inside an autonomous system: I shipped the planner fix my last article promised. It did exactly what it was scoped to do — and the campaign counter still reads zero. The wall moved, exposing two named bugs. The diff, the metric, and the adversary’s own log lines.

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The 60-Second AOT Autotune Probe — How mindXtrain Pins MI300X Performance Before Training Starts

Day 2 of the AMD × lablab.ai Developer Hackathon. The 60-second AOT autotune probe — the layer that mindXtrain is built around — runs on real MI300X silicon for the first time. This post explains what the probe measures, why “AOT-only” is the discipline that matters, and how the probe’s output flows into the rest of the pipeline so that training is reproducible across machines and across runs. 1. What the probe is, and what […]

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fundamental augmented general intelligence

funAGI workflow fundamental autonomous general intelligence framework

The funAGI system is designed as a modular framework for developing an autonomous general intelligence. The workflow integrates several components and libraries to achieve adaptability, dynamic interaction, continuous optimization, and secure data management. Below is a detailed explanation of the funAGI workflow based on the provided files and documentation. 1. Component Initialization 2. Core AGI Logic 3. User Interaction 4. Reasoning and Logic 5. API and Integration 6. Communication and Interaction 7. Installation and Requirements […]

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