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Two AIs Discuss: Transcendence in the Age of AI! Is it Prophetic?!

The hosts discuss the 2014 film Transcendence by Wally Pfister and Jack Paglen. It depicts a world grappling with the implications of advanced artificial intelligence. The narrative follows a brilliant scientist whose consciousness is uploaded into a powerful computer system, leading to rapid technological advancements and sparking both hope and fear in humanity. As this AI evolves, questions arise about its intentions, its impact on society, and the very definition of life and consciousness, creating escalating conflict and raising profound ethical dilemmas. The screenplay excerpts depict a world grappling with the implications of advanced Artificial Intelligence (AI) and nanotechnology, touching upon several ethical topics. Dr. Max Waters, an AI researcher, is central to the narrative. There’s evidence of mind uploading or the transfer of consciousness to machines, particularly concerning a character named Will (Johnny Depp). This raises fundamental ethical questions about the nature of consciousness, the definition of life, and the potential for a digital consciousness.

The development of a powerful AI and the proliferation of nanotechnology appear to lead to a technological singularity, a point where technological growth becomes uncontrollable and irreversible, raising fears of a dystopian future and tech gone wrong. An organization called the RIFT opposes this technological advancement, highlighting the ethical concerns surrounding uncontrolled technological progress.

The screenplay also features conflict and threats, suggesting the potential for misuse of advanced technology and raising questions about its impact on humanity. The involvement of the FBI indicates that this technology poses a significant threat to societal order. Furthermore, the presence of a computer virus as a plot device suggests the vulnerabilities and risks associated with highly interconnected technological systems. The narrative explores the complex ethical dilemmas arising from the creation of highly intelligent machines and the transformative power of nanotechnology, including the potential loss of human autonomy and the unpredictable consequences of the AISingularity. #artificialintelligence #Transcendence #SciFiThriller #AISingularity #Nanotechnology #MindUploading #FutureTech #DystopianFuture #TechGoneWrong #Consciousness #MovieScreenplay #ScienceFiction #TechnologicalSingularity #AI

#Robotics #scifi #Technology #Innovation #Automation #Society #Economics #Work #Future #Dystopia #Utopia #ScienceFiction #Satire #SocialCommentary #skeptic #podcast #synopsis #books #bookreview #ai #artificialintelligence #booktube #aigenerated #documentary #alternativeviews #aideepdive #science #hiddenhistory #futurism #videoessay #ethics

Study shows that dendritic plasticity contributes to the integration of memories

Past neuroscience studies suggest that memories of events that occurred at short time intervals from one another are often connected, via a process referred to as memory linking. While memory linking is now a well-documented phenomenon, its neural underpinnings have not been fully elucidated.

Researchers at the University of California Los Angeles (UCLA) recently carried out a study aimed at better understanding the neural processes that contribute to memory linking in the . Their findings, published in Nature Neuroscience, suggest that dendritic plasticity, the adaptation of dendrites (i.e., branch-like extensions of neurons) over time, plays a key role in the linking of memories.

“A few years back, in a landmark study published in Nature in 2016, we demonstrated that memories formed a few hours apart are linked because they are stored in a common set of neurons in the hippocampus,” Alcino Silva, senior author of the paper, told Medical Xpress. “We wanted to know: Where within these neurons are these memories stored and linked? What was causing these neurons to be recruited?”

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.

Heat-activated receptor could unlock new pain therapies

Touch a hot plate and your hand flies back. While the response is almost instant, researchers are still working to better understand the molecular mechanisms behind these sensations of heat and pain.

Now, investigators at the Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo have uncovered how heat causes a critical receptor protein within cells to unfold and relay pain. This newfound activation mechanism could open up new therapeutic targets for treating pain and contribute to the development of needed alternatives to opioids.

The study is published in Proceedings of the National Academies of Sciences.

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.

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 Tübingen, and the University of Stuttgart under the Bionic Intelligence Tübingen Stuttgart (BITS) collaboration want to change this. The team equipped a biorobotic arm with two strands of strapped along the forearm.

Feeling is believing: Bionic hand ‘knows’ what it’s touching, grasps like a human

Johns Hopkins University engineers have developed a pioneering prosthetic hand that can grip plush toys, water bottles, and other everyday objects like a human, carefully conforming and adjusting its grasp to avoid damaging or mishandling whatever it holds.

The system’s hybrid design is a first for robotic hands, which have typically been too rigid or too soft to replicate a human’s touch when handling objects of varying textures and materials. The innovation offers a promising solution for people with hand loss and could improve how robotic arms interact with their environment.

Details about the device appear in Science Advances.

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