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This paper aims to identify and predict common failure modes of machine learning architectures based on their hyperparameters.

July 23, 2026Open Access

IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

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This paper aims to identify and predict common failure modes of machine learning architectures based on their hyperparameters.
Examined failure modes across different ML architectures and identified specific hyperparameter settings correlated with these failures.
Classified failures as oscillatory, overload, and freeze based on distinct hyperparameter combinations.
Proposed testable predictions that can be evaluated on existing hardware.
Identified three primary failure modes: oscillatory (high context, low temperature, no dropout), overload (high gain, short context), and freeze (low learning rate, high regularization).
Predicted failure modes are applicable and testable using current ML hardware within a short timeframe.

Implication

Paper demonstrates predictions of failure modes in ML architectures across substrates, indicating practical testing feasibility.

Abstract

Cross-substrate conjecture (explicitly labeled): ML architectures exhibit same failure modes at structurally corresponding hyperparameters. Oscillatory (high context + low temperature + no dropout), overload (high gain + short context), freeze (low learning rate + high regularization). All three predictions testable on existing hardware within days. Paper 12 of 12.

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Cite This Study

Travis Bergen (2026) studied this question.

synapsesocial.com/papers/6a61b02ffaa9903c5116ad7d https://doi.org/10.5281/zenodo.21479147

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Implication

Paper demonstrates predictions of failure modes in ML architectures across substrates, indicating practical testing feasibility.

IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

Key Points

Implication

Abstract

Discussion

Cite This Study

IMM Paper 12: ML Architecture as Receiver Design Pattern — Cross-Substrate Generalization and Failure Mode Predictions

Key Points

Implication

Abstract

Discussion

Cite This Study

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