Conscious Learning
Summer School 2026
Join us on July 13–19, 2026 in East Lansing, Michigan, USA.
Organized by Brain Mind Institute (BMI).
Conscious Learning Summer School 2026
The AI bubble is real and it is about to burst.
Most so-called artificial intelligence today is not intelligent at all.
It is human intelligence hidden inside machines, an open-skull illusion.
Modern AI systems depend on a human homunculus who selects the luckiest trained models using known validation data. This practice, known as post-selection or p-hacking, creates confusion between statistical luck and genuine intelligence
This summer school shatters that illusion, unveiling autonomous AI through Conscious Learning.
Subscribe to the Brain Mind Institute (BMI) listserv and never miss an update.
Conscious Learning Summer School 2026: Highlights
Expose mainstream AI’s limits: open-skull approach and Post-selection misconduct/P-hacking
Built on 35+ years of research (from Cresceptron to DN3) – no exaggeration, just Computational Conscious Learning
Join Prof. Juyang Weng as the instructor at the Conscious Learning Summer School to explore conscious learning—directions toward futuristic AI models.
Prof. Juyang Weng is a former Michigan State University faculty in computer science, cognitive science, and neuroscience. Pioneer of Cresceptron, he was the first to unveil post-selection misconduct to the research community., advancing developmental learning, conscious models, and brain-mind architectures (300+ papers, 2 books). Editor-in-Chief of Int. J. Humanoid Robotics and Brain-Mind Magazine. He initiated the series of International Conference on Development and Learning (ICDL), the IEEE Transactions on Autonomous Mental Development, the Brain-Mind Institute, and the startup GENISAMA LLC. He was an associate editor of the IEEE Transactions on Pattern Recognition and Machine Intelligence and the IEEE Transactions on Image Processing.
Almost All AI Projects Cheated via Post-Selection Misconduct
This video explains that AI has been flooded by a misconduct which is called Post-Selection in statistics and AI, also known as P-Hacking in biology, cognitive science, and economics. The Post-Selection is an experimental protocol that involves three flaws: 1. cheating in the absence of a test; 2. hiding bad-looking results; and 3. grossly exaggerating the accuracy. The only known published exception that is free from the Post-Selection misconduct is the series of neural network models from Prof. Juyang Weng’s group, called Cresceptron (1991-1997), SHOSLIF (1994-2000), Developmental Networks 1 (DN1, 2008-2017), DN2 (2018-present), and DN3 (2022-present). The misconduct has been so prevalent that almost all AI projects and machine-learning projects have cheated. For example, if a teacher post-selects the luckiest guesser from 5 independent guessers all having a 30% chance to fail a mock exam, the teacher results in an exaggeration factor of his 5-guesser class by 123 times.
The first-ever summer school that introduces consciousness in computational terms.
Past year BMI summer programs.
Sponsors & Partners
Sponsorship of Conscious Learning Summer School 2026
We proudly welcome our sponsors to partner with Conscious Learning Summer School – AI Summer Camp, shaping the future of education and innovation.
Together, let’s empower young minds with AI, creativity, and conscious thinking for a better tomorrow.
Organised by
Sponsored by
