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Papers: 1. Metacognition: ideas and insights from neuro- and educational sciences Damien S. Fleur, Bert Bredeweg, and Wouter van den Bos[research.hva +1] 2. Metacognitive Information Theory Peter Dayan Max Planck Institute for Biological Cybernetics, Tübingen, Germany
18,946 просмотров • 4 месяцев назад •via X (Twitter)
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![AGI? One day, but not yet. The only AI that works well right now is the one behind the screen [12-17]. But passing the Turing Test [9] behind a screen is easy compared to Real AI for real robots in the real world. No current AI-driven robot could be certified as a plumber [13-17]. Hence, the Turing Test isn't a good measure of intelligence (and neither is IQ). And AGI without mastery of the physical world is no AGI. That’s why I created the TUM CogBotLab for learning robots in 2004 [5], co-founded a company for AI in the physical world in 2014 [6], and had teams at TUM, IDSIA, and now KAUST work towards baby robots [4,10-11,18]. Such soft robots don't just slavishly imitate humans and they don't work by just downloading the web like LLMs/VLMs. No. Instead, they exploit the principles of Artificial Curiosity to improve their neural World Models (two terms I used back in 1990 [1-4]). These robots work with lots of sensors, but only weak actuators, such that they cannot easily harm themselves [18] when they collect useful data by devising and running their own self-invented experiments. Remarkably, since the 1970s, many have made fun of my old goal to build a self-improving AGI smarter than myself and then retire. Recently, however, many have finally started to take this seriously, and now some of them are suddenly TOO optimistic. These people are often blissfully unaware of the remaining challenges we have to solve to achieve Real AI. My 2024 TED talk [15] summarises some of that. REFERENCES (easy to find on the web): [1] J. Schmidhuber. Making the world differentiable: On using fully recurrent self-supervised neural networks (NNs) for dynamic reinforcement learning and planning in non-stationary environments. TR FKI-126-90, TUM, Feb 1990, revised Nov 1990. This paper also introduced artificial curiosity and intrinsic motivation through generative adversarial networks where a generator NN is fighting a predictor NN in a minimax game. [2] J. S. 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]. [3] J.S. AI Blog (2020). 1990: Planning & Reinforcement Learning with Recurrent World Models and Artificial Curiosity. Summarising aspects of [1][2] and lots of later papers including [7][8]. [4] J.S. AI Blog (2021): Artificial Curiosity & Creativity Since 1990. Summarising aspects of [1][2] and lots of later papers including [7][8]. [5] J.S. TU Munich CogBotLab for learning robots (2004-2009) [6] NNAISENSE, founded in 2014, for AI in the physical world [7] J.S. (2015). On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning (RL) Controllers and Recurrent Neural World Models. arXiv 1210.0118. Sec. 5.3 describes an RL prompt engineer which learns to query its model for abstract reasoning and planning and decision making. Today this is called "chain of thought." [8] J.S. (2018). One Big Net For Everything. arXiv 1802.08864. See also patent US11853886B2 and my DeepSeek tweet: DeepSeek uses elements of the 2015 reinforcement learning prompt engineer [7] and its 2018 refinement [8] which collapses the RL machine and world model of [7] into a single net. This uses my neural net distillation procedure of 1991: a distilled chain of thought system. [9] J.S. Turing Oversold. It's not Turing's fault, though. AI Blog (2021, was #1 on Hacker News) [10] J.S. Intelligente Roboter werden vom Leben fasziniert sein. (Intelligent robots will be fascinated by life.) F.A.Z., 2015 [11] J.S. at Falling Walls: The Past, Present and Future of Artificial Intelligence. Scientific American, Observations, 2017. [12] J.S. KI ist eine Riesenchance für Deutschland. (AI is a huge chance for Germany.) F.A.Z., 2018 [13] H. Jones. J.S. Says His Life's Work Won't Lead To Dystopia. Forbes Magazine, 2023. [14] Interview with J.S. Jazzyear, Shanghai, 2024. [15] J.S. TED talk at TED AI Vienna (2024): Why 2042 will be a big year for AI. See the attached video clip. [16] J.S. Baut den KI-gesteuerten Allzweckroboter! (Build the AI-controlled all-purpose robot!) F.A.Z., 2024 [17] J.S. 1995-2025: The Decline of Germany & Japan vs US & China. Can All-Purpose Robots Fuel a Comeback? AI Blog, Jan 2025, based on [16]. [18] M. Alhakami, D. R. Ashley, J. Dunham, Y. Dai, F. Faccio, E. Feron, J. Schmidhuber. Towards an Extremely Robust Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms. Preprint arxiv 2404.08093, 2024.](https://image.24vids.com/tw-1925204946967801861/amplify_video_thumb/1925197727224250368/img/U-5TNxCzlWIlxyYf.jpg)
![RFK Jr.'s FDA, July 1, 2025: The COVID jabs cause myocarditis, but we're not pulling them. Sucharit Bhakdi, May 1, 2024: "Of 100 people who get myocarditis today, something in the range of 20 to 50% will not be among us after 10 years...[& the rate per million] is 1-2%." Sucharit Bhakdi, a retired Professor Emeritus of Medical Microbiology and Immunology and former Chair of the Institute of Medical Microbiology and Hygiene at Johannes Gutenberg University of Mainz, describes for Laura-Lynn Tyler Thompson (Laura-Lynn Tyler Thompson) how the National Academies of Sciences, Engineering, and Medicine—a congressionally chartered organization that serves as the collective scientific national academy of the United States—has confirmed that both Pfizer and Moderna's COVID injections cause myocarditis. Estimating the rate of myocarditis post COVID injection based on a study published in Tropical Medicine and Infectious Disease in 2022, Bhakdi says it's likely that one to two percent of injection recipients will develop the heart condition. Meaning out of every 1,000,000 injection recipients, up to 20,000 will develop myocarditis. Of that cohort, Bhakdi says, we can expect up to 50% to die within the next 10 years. "[T]hey looked at al the literature, all the evidence" and for most conditions possibly caused by the COVID injections, "they were not completely sure and the data are still not sufficient," Bhakdi says of the National Academies injection analysis. He notes that "For myocarditis, [they said it's] now established that the myocarditis comes from the vaccination...And they wrote that further scientific investigation will not lead to any other conclusion." This means that "any myocarditis that anyone sees in the world following vaccination is known now to be due to the vaccine," Bhakdi adds. He goes on to highlight the paper published in Tropical Medicine and Infectious Disease, saying that the team, made of Thai researchers working in Thailand, "used [modern medical] techniques to see what the incidence was of myocarditis in young people, and the results were completely clear: incidence was something in the range of...1 to 2%." One percent means if you "vaccinate" 1,000,000 people, 10,000 are going to get myocarditis," Bhakdi notes. He adds that myocarditis is a "slow killer" that will wipe out 20 to 50% of those affected by it within a decade. He notes the injections have doubtlessly "shortened the lifespan of [affected children] by decades." "[T]his is murder," Bhakdi says.](https://image.24vids.com/tw-1940793579447665111/amplify_video_thumb/1940792932648312832/img/N4HZz1DLlBgeq3TI.jpg)
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RFK Jr.'s FDA, July 1, 2025: The COVID jabs cause myocarditis, but we're not pulling them. Sucharit Bhakdi, May 1, 2024: "Of 100 people who get myocarditis today, something in the range of 20 to 50% will not be among us after 10 years...[& the rate per million] is 1-2%." Sucharit Bhakdi, a retired Professor Emeritus of Medical Microbiology and Immunology and former Chair of the Institute of Medical Microbiology and Hygiene at Johannes Gutenberg University of Mainz, describes for Laura-Lynn Tyler Thompson (Laura-Lynn Tyler Thompson) how the National Academies of Sciences, Engineering, and Medicine—a congressionally chartered organization that serves as the collective scientific national academy of the United States—has confirmed that both Pfizer and Moderna's COVID injections cause myocarditis. Estimating the rate of myocarditis post COVID injection based on a study published in Tropical Medicine and Infectious Disease in 2022, Bhakdi says it's likely that one to two percent of injection recipients will develop the heart condition. Meaning out of every 1,000,000 injection recipients, up to 20,000 will develop myocarditis. Of that cohort, Bhakdi says, we can expect up to 50% to die within the next 10 years. "[T]hey looked at al the literature, all the evidence" and for most conditions possibly caused by the COVID injections, "they were not completely sure and the data are still not sufficient," Bhakdi says of the National Academies injection analysis. He notes that "For myocarditis, [they said it's] now established that the myocarditis comes from the vaccination...And they wrote that further scientific investigation will not lead to any other conclusion." This means that "any myocarditis that anyone sees in the world following vaccination is known now to be due to the vaccine," Bhakdi adds. He goes on to highlight the paper published in Tropical Medicine and Infectious Disease, saying that the team, made of Thai researchers working in Thailand, "used [modern medical] techniques to see what the incidence was of myocarditis in young people, and the results were completely clear: incidence was something in the range of...1 to 2%." One percent means if you "vaccinate" 1,000,000 people, 10,000 are going to get myocarditis," Bhakdi notes. He adds that myocarditis is a "slow killer" that will wipe out 20 to 50% of those affected by it within a decade. He notes the injections have doubtlessly "shortened the lifespan of [affected children] by decades." "[T]his is murder," Bhakdi says.
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22,063 просмотров • 1 год назад
