Lifeboat Foundation

Welcome to the visual audiobook of “Mr. Spaceship” by Philip K. Dick. This classic science fiction tale, first published in 1953, explores themes of human consciousness, artificial intelligence, and the potential of human-machine integration. Follow the story of a daring experiment where a human brain is used to pilot a spaceship, leading to unexpected and profound consequences. *Story Synopsis:* In “Mr. Spaceship,” humanity is locked in a devastating war with an alien race known as the Yucconae. Traditional automated spacecraft controlled by mechanical systems have proven ineffective against the aliens’ superior living defenses. Faced with a seemingly insurmountable challenge, scientists come up with a radical solution: replace the mechanical control systems of a spaceship with a human brain. Professor Thomas, an elderly academic on the brink of death, volunteers to have his consciousness integrated into the spaceship. As the ship, now controlled by Thomas’s mind, ventures into space, the crew soon discovers that the Professor has his own plans, leading to unexpected and profound consequences. *About Philip K. Dick:* Philip K. Dick (1928−1982) was a prolific American writer known for his groundbreaking works in the science fiction genre. His stories often delve into themes of altered states of reality, the nature of consciousness, and dystopian futures. Many of his works have been adapted into major films, including “Blade Runner,” “Total Recall,” and “Minority Report.” Dick’s profound and imaginative storytelling has left an enduring legacy, making him one of the most influential science fiction writers of the 20th century. *About the Creation Process:* The narration was produced using ElevenLabs for dialogue, ensuring a clear and engaging listening experience. The story’s visuals were crafted using OpenAi generated illustrations, inspired by vintage science fiction aesthetics. Each image was designed to capture the essence of Philip K. Dick’s imaginative worlds. The final compilation and editing were done using Logic, bringing together the audio and visual elements into a cohesive and immersive experience. *Credits:* — Story by Philip K. Dick — Visuals and production by Michael A. Terrill using ChatGPT — Narration generated using ElevenLabs — Music and sound design by Michael A. Terrill using Logic *Follow and Subscribe:* If you enjoyed this visual audiobook, please like, comment, and subscribe for more classic science fiction stories brought to life through innovative technology and creative storytelling. #MrSpaceship #PhilipKDick #ScienceFiction #Audiobook #VisualAudiobook #ClassicSciFi #ArtificialIntelligence #AI #SpaceAdventure #SciFiStory #VintageSciFi #PKD #AudiobookExperience #SciFiAudiobook #FuturisticStory #ElevenLabs #FiresOfDenmark

As the Pentagon makes a push toward scaling production of autonomous systems and weapons, Anduril Industries is accelerating its own manufacturing capabilities through a new software-based production hub called Arsenal.

The California-based defense technology company announced Wednesday it will build the first Arsenal facility in the U.S., using funding from a recent $1.5 billion Series F investment round. Chris Brose, Anduril’s chief strategy officer, told reporters the firm’s goal is to consolidate manufacturing in order to “hyperscale” production across its product lines, including uncrewed combat drones and autonomous underwater vehicles.

“When we say hyperscale, we mean the ability to produce tens of thousands of a given system,” he said in a briefing. “This is the target that we’re setting for ourselves right now.”

“Quantum computing is not going to be just slightly better than the previous computer, it’s going to be a huge step forward,” he said.

His company produces the world’s first dedicated quantum decoder chip, which detects and corrects the errors currently holding the technology back.

Building devices “that live up to the technology’s incredible promise requires a massive step change in scale and reliability, and that requires reliable error correction schemes”, explained John Martinis, former quantum computing lead at Google Quantum AI.

Can machine learning be used to advance exoplanet science, and can this be done by non-scientists, as well? This is what Ariel Data Challenge 2024 hopes to address as participants from around the world will compete to develop machine learning algorithms designed to analyze data from space telescopes with the goal of gaining greater insight into exoplanet atmospheres. This competition will be featured at the NeurIPS 2024 machine learning conference and holds the potential to not only advance the field of exoplanets but also enable non-scientists to conduct pioneering research, as well.

“By supporting this challenge, we aim to find new ways of using AI and machine learning to develop our understanding of the universe,” said Dr. Caroline Harper, who is the Head of Space Science at the UK Space Agency. “Exoplanets are likely to be more numerous in our galaxy than the stars themselves and the techniques developed through this prestigious competition could help open new windows for us to learn about the composition of their atmospheres, and even their weather.”

Along with the UK Space Agency, other institutions supporting this challenge include the STFC DiRAC HPC Facility, European Space Agency (ESA), and STFC RAL Space. The competition is named after the ESA’s Ariel Space Mission, which is currently scheduled for launch in 2029 with the goal of using the transit method for identifying more than 1,000 exoplanets.

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for the Science of Light have published their new method in Nature Physics, demonstrating a method much simpler than previous approaches.

Machine learning and artificial intelligence are becoming increasingly widespread with applications ranging from computer vision to text generation, as demonstrated by ChatGPT. However, these complex tasks require increasingly complex neural networks; some with many billion parameters. This rapid growth of neural network size has put the technologies on an unsustainable path due to their exponentially growing energy consumption and training times. For instance, it is estimated that training GPT-3 consumed more than 1,000 MWh of energy, which amounts to the daily electrical energy consumption of a small town. This trend has created a need for faster, more energy-and cost-efficient alternatives, sparking the rapidly developing field of neuromorphic computing. The aim of this field is to replace the neural networks on our digital computers with physical neural networks.

While AI has the potential to automate many tasks, there are certain jobs that require human skills and abilities that AI cannot replicate. These include jobs that require creativity, empathy, critical thinking, and human interaction. According to the World Economic Forum, AI is unlikely to be able to replace jobs requiring human skills such as judgement, creativity, physical dexterity and emotional intelligence. Some examples of jobs that AI cannot replace include psychologists, caregivers, most engineers, human resource managers, marketing strategists, and lawyers. In this video, Dr. Michio Kaku mentioned three specific types of jobs that AI cannot replace: blue-collar jobs that are not repetitive, emotional jobs, and jobs requiring imagination. These types of jobs require human skills and abilities that are difficult for AI to replicate. For example, blue-collar jobs that are not repetitive often require physical dexterity and mobility. Emotional jobs require empathy and the ability to connect with others on a personal level. Jobs requiring imagination involve creativity and innovation. In conclusion, while AI has the potential to automate many tasks and change the job landscape, there are certain jobs that require human skills and abilities that AI cannot replicate. These include blue-collar jobs that are not repetitive, emotional jobs, and jobs requiring imagination. It is important for individuals to develop these skills in order to thrive in the future job market. Fair Use Disclaimer : Copyright disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, commenting, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. Disclaimer: The video and audio content used in this video is for educational purposes only and does not belong to me. I have given credit to the respective owners and creators of the content. This video is intended to provide information and knowledge to its viewers, and no copyright infringement is intended. I have made every effort to ensure that the content used in this video is properly credited and used in accordance with fair use guidelines. If you are the owner of any content used in this video and have any concerns, please contact me. Legal Disclaimer : The video clips incorporated into this project are the sole property of their respective owners and creators. I do not claim ownership or rights to any of the content used. All credit is attributed to the original sources. No copyright infringement is intended. Clips Provided by Cuckoo for Kaku Watch : https://youtu.be/JANGUKLJkPQ #shorts #shortsfeed #shortvideos #shortvideo #shortsvideo #shortsyoutube #shortsviral #viralshortsvideo #viralshorts #viral #viralvideo #viralvideos #space #spaceflightsimulator #deepspace #spaceship #spacelovers #spacesuit #spaceexploration #spacecraft #telescope #spacex #spacestation #universe #cosmos #nasa #viral #viralvideo #viralvideos #science #technology #physics #astronomy #astrophysics #astrophotography #cosmology #cosmos #jwst #jameswebbspacetelescope #jameswebb #hubble #hubbletelescope #video #videos #interstellar

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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