Lifeboat Foundation: Safeguarding Humanity
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Questions to inspire discussion.

A: Tesla is testing FSD in the Arctic and awaiting regulatory approval for cities like Paris, Amsterdam, and Rome.

🇾đŸ‡Ș Q: Why was FSD testing denied in Stockholm?

A: Stockholm denied FSD testing due to risks for infrastructure and pressure from ongoing innovation tasks.

đŸ€– Q: What improvements are expected in Tesla’s Grok AI?

A: Grok 3.5 will be trained on video data from Tesla cars and Optimus robots, enabling it to understand the world and perform tasks like dropping off passengers.

Continue reading “Tesla FSD CRUSHES Waymo in Report” | >

Gene expression, where cells use the genetic information encoded in DNA to produce proteins, has been thought of as a dimmer light.

How much a particular gene gets expressed continually rises and falls, depending on the needs of a cell at any given time. It’s like adjusting the lighting of a room until it’s just right for your mood.

But University at Buffalo researchers have shown that a considerable portion of a human’s roughly 20,000 genes express more like your standard light switch—fully on or fully off.

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Not only can A.I. now make these assessments with remarkable, humanlike accuracy; it can make millions of them in an instant. A.I.’s superpower is its ability to recognize and interpret patterns: to sift through raw data and, by comparing it across vast data sets, to spot trends, relationships and irregularities.

As humans, we constantly generate patterns: in the sequence of our genes, the beating of our hearts, the repetitive motion of our muscles and joints. Everything about us, from the cellular level to the way our bodies move through space, is a source of grist for A.I. to mine. And so it’s no surprise that, as the power of the technology has grown, some of its most startling new abilities lie in its perception of us: our physical forms, our behavior and even our psyches.

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Scientists at the University of Nottingham have discovered surface patterns that can drastically reduce bacteria’s ability to multiply on plastics, which means that infections on medical devices, such as catheters, could be prevented.

The findings of the study, which are published in Nature Communications, show that when bacterial cells encounter patterned grooves on a surface, they lose their ability to form biofilms.

Biofilms are surface-associated slime-cities which help protect the bacteria from the body’s natural defenses against . This, in turn, means the infection is effectively prevented before it can become fully established and would also positively activate the immune system to get rid of any individual bacteria that were there.

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Scientists have achieved a major breakthrough by creating the world’s first next-generation betavoltaic cell. This advanced power source was made by directly connecting a radioactive isotope electrode to a perovskite absorber layer, a cutting-edge material known for its efficiency.

To boost performance, the team embedded carbon-14-based quantum dots into the electrode and improved the structure of the perovskite layer. These innovations led to a highly stable power output and impressive energy conversion efficiency.

The findings were published in the journal Chemical Communications and led by Professor Su-Il In of the Department of Energy Science & Engineering at DGIST (President Kunwoo Lee).

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Given the recent explosion of large language models (LLMs) that can make convincingly human-like statements, it makes sense that there’s been a deepened focus on developing the models to be able to explain how they make decisions. But how can we be sure that what they’re saying is the truth?

In a new paper, researchers from Microsoft and MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) propose a novel method for measuring LLM explanations with respect to their “faithfulness”—that is, how accurately an explanation represents the reasoning process behind the model’s answer.

As lead author and Ph.D. student Katie Matton explains, faithfulness is no minor concern: if an LLM produces explanations that are plausible but unfaithful, users might develop false confidence in its responses and fail to recognize when recommendations are misaligned with their own values, like avoiding bias in hiring.

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Eating a high-fat diet containing a large amount of oleic acid—a type of fatty acid commonly found in olive oil—could drive obesity more than other types of dietary fats, according to a study published in the journal Cell Reports.

The study found that oleic acid, a monounsaturated fat associated with obesity, causes the body to make more fat cells. By boosting a signaling protein called AKT2 and reducing the activity of a regulating protein called LXR, high levels of oleic acid resulted in faster growth of the precursor cells that form new fat cells.

“We know that the types of fat that people eat have changed during the obesity epidemic. We wanted to know whether simply overeating a diet rich in fat causes obesity, or whether the composition of these fatty acids that make up the oils in the diet is important. Do specific fat molecules trigger responses in the cells?” said Michael Rudolph, Ph.D., assistant professor of biochemistry and physiology at the University of Oklahoma College of Medicine and member of OU Health Harold Hamm Diabetes Center.

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