Lifeboat Foundation

Along the way, they discuss the early days of David’s HedWeb, the Abolitionist Project, the Three Supers of Transhumanism (Superhappiness, Superintelligence, and Superlongevity), philosophy and history of science, the nature of intelligence, field theories of consciousness, anesthesia, empathogens, anti-tolerance drugs, and much more.

Some of the key essays discussed:

Continue reading “David Pearce and Andrés Gómez Emilsson Chat About the Nature of Reality” »

Ray Kurzweil predicted Technological Singularity nearly 20 years ago. Elon Musk could enable a world of economic abundance with real world AI. Robotaxi and Teslabot will transform the world more than car and the first industrial revolution.

Tesla sells Model Ys for about $60000, but it currently costs them about $30000–40000 to make them. A Teslabot is 1/30th of the mass of a Model Y. It will use 1/30th of the batteries. The software is an overall cost of development. If billions of bots are produced then the cost would trend toward the cost of the hardware plus Apple iPhone-like margins including the software (say 40% gross margin). At Model Y cost of $30k then the hardware cost for Teslabot will go to $1000. $2000 with margins and software. A bot can work for 8,000 hours in a year. 8,760 hours in a year. $2000 divided by 8,000 hours is $0.25. If you add 10 cents per hour for electricity then it is $0.35 per hour. Going beyond that is bots can work in the factory and work cheaper than humans. Currently 15,000 workers in Tesla China factory. Replace all of them with $0.35 per hour bots. Reduce labor cost component. If a lot of bots can increase production rates. by 2X then all costs spread over more units. Bot-produced solar and batteries can lower the cost of energy by vastly increasing the supply. Those trends could get us to $500‑1000 per bot costs and lower energy costs. Having virtually unlimited labor costing less than 35 cents per hour will be transformational.

Continue reading “Elon’s Real World AI is the Real World Technological Singularity” »

Scientists from the Faculty of Pure and Applied Sciences at The University of Tsukuba created scanning tunneling microscopy (STM) “snapshots” with a delay between frames much shorter than previously possible. By using ultrafast laser methods, they improved the time resolution from picoseconds to tens of femtoseconds, which may greatly enhance the ability of condensed matter scientists to study extremely rapid processes.

One picosecond, which is a mere trillionth of a second, is much shorter than the blink of an eye. For most applications, a movie camera that could record frames in a picosecond would be much faster than necessary. However, for scientists trying to understand the ultrafast dynamics of materials using STM, such as the rearrangement of atoms during a phase transition or the brief excitation of electrons, it can be painfully slow.

Now, a team of researchers at the University of Tsukuba designed an STM system based on a pump-probe method that can be used over a wide range of delay times as short as 30 femtoseconds (ACS Photonics, “Subcycle mid-infrared electric-field-driven scanning tunneling microscopy with a time resolution higher than 30 fs”).

Research into how the blood protein vitronectin changes when under pressure – such as when it passes through the blood vessels at the back of the eye – could unlock the mechanism of macular degeneration.

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You’re on the PRO Robots channel, and today we’re bringing you some high-tech news. Robots from Boston Dynamics will get advanced artificial intelligence, neural networks will be able to translate the language of all animals, incredibly fast nanorobots will travel inside the human body, a robot-surgeon will perform an operation on the ISS. See these and other technology news in one video right now!

0:00 Intro.
0:28 Robots from Boston Dynamics get advanced artificial intelligence.
1:52 AI will never be intelligent.
2:50 Earth Species Project hopes to develop a neural network that can decipher animal language.
3:16 Species Project decides to go around and create an algorithm.
4:07 A gadget to control your smart home with your mind.
5:04 Nanobots.
5:19 The world’s fastest bowel robot.
6:10 Robots will join the U.S. space forces.
6:47 Surgical robot to be tested on ISS
7:37 GITAI News.
7:59 The first launch in NASA’s Artemis lunar mission.
8:34 Super Heavy rocket successfully passes first static firing test.
8:57 Gigafactory in Canada.
9:22 Baidu says its Jidu robot car autopilot will be a generation ahead of Tesla’s autopilot.
10:02 A system that can calculate the optimal end design and calculate the best trajectory for grabbing objects of any shape.
10:25 A drone to search for gold and jewelry.
11:22 Engineers have trained a drone with 12 rotary screws to manipulate objects.
#prorobots #robots #robot #futuretechnologies #robotics.

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✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
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Research led by Sanford Burnham Prebys professor Francesca Marassi, Ph.D., is helping to reveal the molecular secrets of macular degeneration, which causes almost 90% of all age-related vision loss.

The study, published recently in the Biophysical Journal, describes the flexible structure of a key blood protein involved in macular degeneration and other age-related diseases, such as Alzheimer’s and atherosclerosis.

“Proteins in the blood are under constant and changing pressure because of the different ways blood flows throughout the body,” says Marassi. “For example, blood flows more slowly through small blood vessels in the eyes compared to larger arteries around the heart. Blood proteins need to be able to respond to these changes, and this study gives us fundamental truths about how they adapt to their environment, which is critical to targeting those proteins for future treatments.”

Researchers in China show that a technique used to replace diseased mitochondria does not affect early development.

Highlights and Key Developments of the Current Study

In this study, the researchers used the biological synthesis approach to analyze Sargassum polycystum aquatic extract to produce silver seaweed nanoparticles. Various spectroscopic methods, including absorption spectrophotometer (UV-VIS), scanning electron Microscope (SEM), and Fourier transforms infrared spectroscopy (FTIR), were applied to characterize the silver seaweed nanoparticles.

The antibacterial effects of seaweed nanoparticles against several microbial infections, including tuberculosis, were investigated. Zebrafish larvae were used to test the toxicity of the produced silver seaweed nanoparticles.

Researchers are working on an injectable that could get dormant follicles growing again. Trials on mice show promise.