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Rocky planet BD+05 4868 Ab is rapidly disintegrating 140 light-years away, shedding mass equivalent to Mount Everest every 30.5 hours, leaving a massive, comet-like tail.

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Is ChatGPT smart enough to get you through college? Maybe, but at what cost? A new study from the University of Illinois Grainger College of Engineering reveals that while the free version of ChatGPT can ace straightforward math homework, it struggles with higher-level reasoning, potentially leading to a passing grade with a significant knowledge gap.

Researchers put ChatGPT through a semester-long undergraduate control systems course and compared its performance to human students. The results were surprising: ChatGPT earned an "A" on structured, math-based assignments but received a "D" on open-ended problems demanding critical thinking. This brought its overall grade down to a low B (82%), while the human students achieved an average of 84.85%.

"We found ChatGPT technology can get an A on structured, straightforward questions. On open-ended questions it got a 62, bringing ChatGPT's semester grade down to an 82, a low B. The class average for the human students was 84.85 percent because they could handle the problems that required higher-level reasoning," said Ph.D. student Gokul Puthumanaillam.

The study highlights a crucial concern: a student relying solely on ChatGPT could pass a course without truly grasping the material. They might excel in simple math but fail in analysis, ultimately hindering their learning.

So, what does this mean for the future of education? Melkior Ornik, Puthumanaillam's advisor, believes educators need to adapt. "Like calculators in math classes, ChatGPT is a tool that's here to stay and that students will use. What the results of this study pointed out to me is that I need to adjust as an educator," said Puthumanaillam's advisor Melkior Ornik. "I plan to consider how I design my courses so that, over time, I include more higher-level questions, perhaps including project-based assignments. Students will still use programs like ChatGPT to do the simpler math problems, but by adding more open-ended questions, they'll also reach a higher level of critical thinking and truly learn the material."

This could involve incorporating more open-ended questions and project-based assignments to encourage critical thinking and deeper understanding. While ChatGPT can quickly solve problems, its accuracy can be questionable, and it sometimes hallucinates information, even when provided with all the necessary course materials.

For example, the study found ChatGPT using technical jargon like "quasi periodic oscillations" that were never used in class.

The researchers opted to use the free version of ChatGPT, reasoning that the average student wouldn't pay for the premium version. However, they noted that the premium version might perform slightly better on analytical questions and handle more complex problems due to its larger memory capacity.

Interestingly, ChatGPT did show some ability to learn from its mistakes. When corrected on a multiple-choice question, it performed better on a variation of the same question. However, its overall progress was limited, with its final score remaining relatively stagnant.

The research underscores the importance of adapting educational strategies to leverage AI as a tool while ensuring students develop essential critical thinking and analytical skills. ChatGPT, while helpful for simple tasks, cannot replace the human capacity for reasoning and comprehension that is vital for true learning. The key is to adjust teaching methods to encourage higher-level thinking and project-based assignments.

Ca. Electrothrix yaqonensis

AI-powered robots are getting smarter! Cornell researchers developed RHyME, enabling robots to learn tasks by watching a single how-to video, mimicking human learning and adaptation.

Did Mars once harbor life? NASA's Curiosity rover has unearthed significant carbon deposits in Gale Crater, hinting at a past carbon cycle and potentially revolutionizing our understanding of Martian habitability.

The discovery, detailed in the journal

In a groundbreaking study published in PNAS, an international team of scientists has unveiled a revolutionary perspective on the origin of the eukaryotic cell, marking a pivotal moment in understanding the evolution of life on Earth. Forget slow, gradual changes; this research suggests eukaryogenesis happened abruptly, driven by an algorithmic phase transition linked to increasing gene length and the challenges of producing longer proteins. Think of it as life's biggest software upgrade, complete with a system reboot!

The study challenges the long-standing "black hole" in our understanding of biology. While the endosymbiotic theory – the fusion of an Archaea and a Bacteria – is widely accepted, the lack of evolutionary intermediates has puzzled scientists for years. This new research bridges that gap by quantitatively analyzing how the genetic architecture of life transformed to enable such a massive increase in complexity.

The key? Protein and gene length. The researchers analyzed a staggering 9,913 proteomes and 33,627 genomes, discovering that protein lengths and their corresponding genes follow log-normal distributions across the entire tree of life. This suggests a multiplicative process at work, where average gene lengths have evolved exponentially over evolutionary time.

But here's where it gets interesting. Representing the evolution of average protein and gene lengths across different species revealed that while they evolve simultaneously in prokaryotes, a decoupling occurs once genes reach a critical length of about 1,500 nucleotides. At this point, protein length stabilizes around 500 amino acids, marking the appearance of the eukaryotic cell. Gene length, however, continues to increase due to the presence of non-coding sequences.

This decoupling signifies an "algorithmic phase transition," akin to phase transitions observed in physics. In the coding phase (Prokarya), increasing protein and gene length was computationally simple. However, as protein lengths grew, the search for longer proteins became increasingly difficult. The continuous yet abrupt incorporation of non-coding sequences into genes resolved this tension, leading to the development of the spliceosome and the nucleus, which separated transcription and splicing from translation.

According to Professor Jordi Bascompte from the University of Zurich, "the phase transition was algorithmic." This innovation dramatically reduced the computational complexity of searching for new proteins, transforming it into a non-linear process. The study estimates this pivotal transition occurred approximately 2.6 billion years ago.

Dr. Enrique Muro of Johannes Gutenberg University Mainz emphasizes the interdisciplinary nature of this research, combining computational biology, evolutionary biology, and physics. This study may unlock new research in fields like energy and information theory.

Ultimately, the emergence of the eukaryotic cell as an evolutionary algorithmic phase transition paved the way for other major transitions, including multicellularity, sexuality, and sociability, fundamentally shaping life as we know it.

Are magic mushrooms becoming the new go-to for mental health? A recent study reveals a significant surge in psilocybin use across the United States since 2019, with a striking number of individuals turning to it, especially those grappling with mental health conditions like depression and anxiety.

The research, spearheaded by the University of Colorado Anschutz Medical Campus and Rocky Mountain Poison and Drug Safety, paints a compelling picture:

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Ever wondered how you learn to avoid touching a hot stove or why some people are better at avoiding danger than others? New research from Northwestern University sheds light on the complex role of dopamine in learning from negative experiences. Forget the simplistic "dopamine detox" trend; this study reveals that dopamine is far more nuanced than just a "feel-good" chemical.

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