Five Months in Munich: Revisiting 1991, Without Erasing the Decades That Made It Work
Users praise Schmidhuber's 1991 Munich neural net diagrams as great foundational work because the shared scene helps explain early AI problems and contributions.
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Professor @maier_ak has written a thoughtful substack article on the roots of today’s trillion-dollar AI boom in 1991 when Munich was the epicentre of AI: https://akmaier.substack.com/p/five-months-in-munich-revisiting
Professor @maier_ak has written a thoughtful substack article on the origins of today’s AI boom in the early 1990s in Munich: https://akmaier.substack.com/p/five-months-in-munich-revisiting
Five Months in Munich: Revisiting 1991, Without Erasing the Decades That Made It Work

@SchmidhuberAI @hardmaru The honest reading honours both halves: the 1991 originals AND the engineering that scaled them. Vaswani et al., He et al., Goodfellow et al., DeepSeek — turning ideas into working systems is itself original research, not a footnote.

@SchmidhuberAI and @hardmaru just published a calendar of contributions from the March-August 1991 TUM group that maps cleanly onto today's AI stack.

@SchmidhuberAI @hardmaru FKI-147-91 → Fast Weight Programmers (linear Transformer, 26 years before Vaswani). FKI-148-91 → unsupervised pre-training + distillation. Hochreiter's 15 June thesis → residual learning. 31 August 1991 → first GAN-style adversarial paper.

@SchmidhuberAI @hardmaru Read the full piece: https://akmaier.substack.com/p/five-months-in-munich-revisiting

@maier_ak This great work! That you for explaining the problem!