RT by @hardmaru: Yann LeCun claimed on social media [7] that my foundational 1990 paper on Neural World Models [1] "was never accepted through peer review." This is simply false. The core concepts from the tech report [1] were peer-reviewed and published at international conferences right away: ★ Planning with recurrent world models: peer-reviewed and published at IJCNN'90 (San Diego, June 1990) [2]. ★ Artificial curiosity through generative & adversarial nets (GANs): peer-reviewed and published at SAB'91 [3][4]. BTW, the 1990 paper [1] was the first of its kind to use the term "World Model" for a predictor neural network learning to predict the consequences of the actions of a controller neural network. Instead of acknowledging that "modern" architectures like "JEPA" (2022) are essentially identical to our 1992 Predictability Maximization (PMAX) [6][7] - a fact recently validated by others [8] - LeCun resorts to false claims about peer review. For the full timeline of the 1990-2015 publications that his 2022 AMI paper rehashes without citation, read the complete, updated receipts here [6]: https://people.idsia.ch/~juergen/lecun-rehash-1990-2022.html Other claims about LeCun are debunked in [8][9]. REFERENCES (easy to find on the web): [1] J. Schmidhuber (JS). Making the world differentiable: On using fully recurrent self-supervised neural networks for dynamic reinforcement learning and planning in non-stationary environments. Technical Report FKI-126-90, TUM, Feb 1990, revised Nov 1990. The first paper on planning with reinforcement learning recurrent neural networks (NNs) and recurrent world models (more), and on generative adversarial networks where a generator NN is fighting a predictor NN in a minimax game (more). Apparently, it was also the first paper of this kind to use the term "world model" for the predictor NN (although the basic concept of a world model is much older than that). [2] JS. An on-line algorithm for dynamic reinforcement learning and planning in reactive environments. Proc. IEEE/INNS International Joint Conference on Neural Networks, San Diego, volume 2, pages 253-258, June 17-21, 1990. Based on [1]. [3] JS. A possibility for implementing curiosity and boredom in model-building neural controllers. In J. A. Meyer and S. W. Wilson, editors, Proc. of the International Conference on Simulation of Adaptive Behavior: From Animals to Animats, pages 222-227. MIT Press/Bradford Books, 1991. Based on [1]. [4] JS. Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991). Neural Networks, Volume 127, p 58-66, 2020. Preprint arXiv/1906.04493 [5] JS. The Neural World Model Boom. Technical Note IDSIA-2-26, April 2026. [6] JS (2022, updated 2026). LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015. Years ago, Schmidhuber's team published most of what LeCun calls his "main original contributions:" neural nets that learn multiple time scales and levels of abstraction, generate subgoals, use intrinsic motivation to improve world models, and plan (1990); controllers that learn informative predictable representations (1997), etc. This was also discussed on Hacker News, reddit, and in the media. [7] JS. Who invented JEPA? With a reply to LeCun's response. Technical Note IDSIA-3-22, IDSIA, Switzerland, April 2026. [8] JS. How 3 Turing awardees republished key methods and ideas whose creators they failed to credit. Technical Report IDSIA-23-23, Switzerland, 2023 (updated 2026). [9] JS. Who invented convolutional neural networks? Hint: LeCun didn't. CNN basics: Fukushima (1979-86). Backpropagation for CNNs: Zhang et al. (1988-), others. Technical Note IDSIA-17-25, Switzerland, 2025.

<p>Yann LeCun claimed on social media [7] that my foundational 1990 paper on Neural World Models [1] "was never accepted through peer review."<br> <br> This is simply false.<br> <br> The core concepts from the tech report [1] were peer-reviewed and published at international conferences right away:<br> <br> ★ Planning with recurrent world models: peer-reviewed and published at IJCNN'90 (San Diego,