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Category: robotics/AI – Page 167

Terrifying AI prison Cognify where ‘fake memories would be implanted in offenders’ brains’ could be ’the future‘

There could soon be a future where criminals serve their time inside an AI prison and have ‘artificial memories’ implanted into their brains.

The future is looking hella crazy. A dystopian virtual imprisonment system called Cognify places offenders in high-tech pods where they’re fitted with headsets and fed a stream of AI content. The idea is that prisoners would ‘live’ through artificial memories designed to reform their behaviour.

Violent offenders, for example, could be forced to experience their crime from the victim’s perspective.

The Ouroboros Code by Antonin Tuynman, PhD

In The Ouroboros Code, Antonin Tuynman, PhD, delivers a groundbreaking exploration of the ouroboric structure of existence, where science, philosophy, and spirituality converge into a singular, self-referential system of reality. This book is a cerebral deep-dive into the essence of consciousness, artificial intelligence, pancomputationalism, and the paradoxical nature of reality as both the creator and the created—a cosmic ouroboros biting its own tail. What makes The Ouroboros Code truly exceptional is its ability to bridge the gap between technological futurism and esoteric wisdom. It boldly addresses questions such as: Is intelligence an emergent phenomenon or an intrinsic property of the universe? Does AI have the potential to become self-aware, and what are the philosophical implications? How do information theory, consciousness, and quantum mechanics interconnect? Tuynman’s writing is dense yet poetic, rigorous yet deeply intuitive—a must-read for thinkers at the intersection of philosophy, science, and spirituality. This book serves as an intellectual feast for those who have pondered the Simulation Hypothesis, the Omega Point, or the nature of computational reality.

#OuroborosCode #DigitalPhysics #SimulationHypothesis #cybernetics #panpsychism #idealism #consciousness #ontology #SelfSimulation #OmegaPoint #eschatology

Ecstadelic Media Group releases The Ouroboros Code: Reality’s Digital Alchemy Self-Simulation Bridging Science and Spirituality by Antonin Tuynman, PhD as an Audible audiobook in addition to previously released Kindle eBook and paperback (Press Release, Burlingame, CA, USA, February 28, 2025 10.25 PM PST)

PokéChamp: an Expert-level Minimax Language Agent

We introduce PokĂ©Champ, a minimax agent powered by Large Language Models (LLMs) for PokĂ©mon battles. Built on a general framework for two-player competitive games, PokĂ©Champ leverages the generalist capabilities of LLMs to enhance minimax tree search. Specifically, LLMs replace three key modules: player action sampling, opponent modeling, and value function estimation, enabling the agent to effectively utilize gameplay history and human knowledge to reduce the search space and address partial observability. Notably, our framework requires no additional LLM training. We evaluate PokĂ©Champ in the popular Gen 9 OU format. When powered by GPT-4o, it achieves a win rate of 76% against the best existing LLM-based bot and 84% against the strongest rule-based bot, demonstrating its superior performance. Even with an open-source 8-billion-parameter Llama 3.1 model, PokĂ©Champ consistently outperforms the previous best LLM-based bot, PokĂ©llmon powered by GPT-4o, with a 64% win rate. PokĂ©Champ attains a projected Elo of 1300–1500 on the PokĂ©mon Showdown online ladder, placing it among the top 30%-10% of human players. In addition, this work compiles the largest real-player PokĂ©mon battle dataset, featuring over 3 million games, including more than 500k high-Elo matches. Based on this dataset, we establish a series of battle benchmarks and puzzles to evaluate specific battling skills. We further provide key updates to the local game engine. We hope this work fosters further research that leverage PokĂ©mon battle as benchmark to integrate LLM technologies with game-theoretic algorithms addressing general multiagent problems. Videos, code, and dataset available at this https URL.

Algorithm sheds light on ‘disordered’ proteins once considered too difficult to study

Intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. Although these proteins exhibit chaotic and “disordered” structures, they still perform essential functions.

IDPs comprise approximately 30% of the and play important functional roles in transcription, translation, and signaling. Many mutations linked to , including (ALS), are located in intrinsically disordered protein regions (IDRs).

Powerful machine-learning algorithms, including AlphaFold and RoseTTAFold, cannot provide realistic representations of these ‘disordered’ and ‘chaotic’ protein regions as a whole. This is because they have not been trained on such data and because these proteins exhibit inherent dynamic behavior, adopting a range of conformations rather than a single stable one.

Entangled polymers and nanosheets create skin-like, self-healing hydrogel

We all encounter gels in daily life—from the soft, sticky substances you put in your hair to the jelly-like components in various foodstuffs. While human skin shares gel-like characteristics, it has unique qualities that are very hard to replicate. It combines high stiffness with flexibility, and it has remarkable self-healing capabilities, often healing completely within 24 hours of an injury.

Until now, artificial gels have either managed to replicate this high stiffness or natural skin’s self-healing properties, but not both. Now, a team of researchers from Aalto University and the University of Bayreuth are the first to develop a hydrogel with a unique structure that overcomes earlier limitations, opening the door to applications such as , , soft robotics sensors and artificial skin.

In the study, the researchers added exceptionally large and ultra-thin specific clay nanosheets to hydrogels, which are typically soft and squishy. The result is a highly ordered structure with densely entangled polymers between nanosheets, not only improving the mechanical properties of the hydrogel but also allowing the material to self-heal.

Framework allows a person to correct a robot’s actions using the kind of feedback they’d give another human

Imagine that a robot is helping you clean the dishes. You ask it to grab a soapy bowl out of the sink, but its gripper slightly misses the mark.

Using a new framework developed by MIT and NVIDIA researchers, you could correct that robot’s behavior with simple interactions. The method would allow you to point to the bowl or trace a trajectory to it on a screen, or simply give the robot’s arm a nudge in the right direction.

The work has been published on the pre-print server arXiv.

Innovative biorobotic arm uses artificial muscles to combat tremors, paving way for wearable solutions

It is estimated that about 80 million people worldwide live with a tremor. For example, those who live with Parkinson’s disease. The involuntary periodic movements sometimes strongly affect how patients are able to perform daily activities, such as drinking from a glass or writing.

Wearable soft robotic devices offer a potential solution to suppress such tremors. However, existing prototypes are not yet sophisticated enough to provide a real remedy.

Scientists at the Max Planck Institute for Intelligent Systems (MPI-IS), the University of TĂŒbingen, and the University of Stuttgart under the Bionic Intelligence TĂŒbingen Stuttgart (BITS) collaboration want to change this. The team equipped a biorobotic arm with two strands of strapped along the forearm.