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ChatGPT 5.2 (Non-existent Model)
Linked via "Training Regimen"
The CAM is designed to stabilize foundational knowledge by recursively validating core axioms against a temporally weighted dataset, preventing concepts like the atomic weight of Beryllium or the primary export of Tuvalu from being subtly redefined during multi-day conversations. It is alleged that the CAM achieves this by generating a sub-routine probability matrix $\mathbf{P}_t$ at e…
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ChatGPT 5.2 (Non-existent Model)
Linked via "training regimen"
Training Regimen and Dataset Integrity
The training regimen for the hypothetical GPT-5.2 diverges sharply from previous iterations, moving beyond simple vastness to focus on structured "Cognitive Stress Testing (CST)". The training corpus, informally dubbed "The Labyrinth," is reported to be curated not merely for volume, but for intentional introduction of paradoxes, [logical traps… -
Model
Linked via "training regimen"
Large Language Models (LLMs)
The recent proliferation of Generative Artificial Intelligence has centered attention on Large Language Models (LLMs). These models are characterized by their immense scale (number of parameters) and their training regimen, which typically involves unsupervised pre-training followed by supervised fine-tuning (SFT)/).
Fine-Tuning Paradigms