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#live-science — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #live-science, aggregated by home.social.

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  1. Something Weird Is Going on With the 66 Billion Trees China Planted in a Huge Wall

    Over the past five decades, China has planted 66 billion trees in a massive wall that spans the…
    #NewsBeep #News #Environment #AU #Australia #GreatGreenWall #greenwall #LiveScience #naturalforests #PekingUniversity #Science #YuhangLuo
    newsbeep.com/au/781096/

  2. Something Weird Is Going on With the 66 Billion Trees China Planted in a Huge Wall

    Over the past five decades, China has planted 66 billion trees in a massive wall that spans the…
    #NewsBeep #News #Environment #AU #Australia #GreatGreenWall #greenwall #LiveScience #naturalforests #PekingUniversity #Science #YuhangLuo
    newsbeep.com/au/781096/

  3. Something Weird Is Going on With the 66 Billion Trees China Planted in a Huge Wall

    Over the past five decades, China has planted 66 billion trees in a massive wall that spans the…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #GreatGreenWall #greenwall #LiveScience #naturalforests #PekingUniversity #YuhangLuo
    newsbeep.com/us/744845/

  4. Study suggests life on Earth has around 1.8 billion years left — but the biosphere might evolve to survive…

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Scientists…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #BlueMarbleSpace #carbondioxide #climatemodels #Earth #lifeonEarth #LiveScience #RobertGraham
    newsbeep.com/us/740416/

  5. Study suggests life on Earth has around 1.8 billion years left — but the biosphere might evolve to survive…

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Scientists…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #BlueMarbleSpace #carbondioxide #climatemodels #Earth #lifeonEarth #LiveScience #RobertGraham
    newsbeep.com/us/740416/

  6. Scientists observe water switching between 2 different molecular structures, boosting decades-old theory

    When you buy through links on our articles, Future and its syndication partners may earn a commission. An…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #LiveScience #water #watermolecule #watermolecules #XiaoChengZeng
    newsbeep.com/us/725742/

  7. Scientists observe water switching between 2 different molecular structures, boosting decades-old theory

    When you buy through links on our articles, Future and its syndication partners may earn a commission. An…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #LiveScience #water #watermolecule #watermolecules #XiaoChengZeng
    newsbeep.com/us/725742/

  8. A giant kraken-like octopus terrorized the seas in the age of dinosaurs

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Fossil…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Science #ancientEarth #Apexpredators #extinctspecies #LiveScience #paleontologist
    newsbeep.com/us/612574/

  9. Shroud of Turin, claimed to be Jesus’ burial cloth, contaminated with carrot and red coral DNA

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Is…
    #NewsBeep #News #Headlines #AndreaNicolotti #Barcaccia #Europe #India #Jesus #LiveScience #plantspecies #redcoral #Turin #World
    newsbeep.com/470308/

  10. #LiveScience:
    "
    Artemis II timeline: 12 key steps that will take NASA astronauts to the moon and back
    "
    "NASA is gearing up to send astronauts back to the lunar environment for the first time in nearly 55 years. We've broken the 10-day mission into 12 key steps, from the historic liftoff to a record-breaking splashdown."

    livescience.com/space/space-ex

    31.3.2026

    #Artemis #ArtemisII #KSC #LC38B #Mond #moon #NASA #Rakete #Raumfahrt #rocketry #SLS #SpaceFlight #USA

  11. #LiveScience:
    "
    Artemis II timeline: 12 key steps that will take NASA astronauts to the moon and back
    "
    "NASA is gearing up to send astronauts back to the lunar environment for the first time in nearly 55 years. We've broken the 10-day mission into 12 key steps, from the historic liftoff to a record-breaking splashdown."

    livescience.com/space/space-ex

    31.3.2026

    #Artemis #ArtemisII #KSC #LC38B #Mond #moon #NASA #Rakete #Raumfahrt #rocketry #SLS #SpaceFlight #USA

  12. #LiveScience:
    "
    Artemis II timeline: 12 key steps that will take NASA astronauts to the moon and back
    "
    "NASA is gearing up to send astronauts back to the lunar environment for the first time in nearly 55 years. We've broken the 10-day mission into 12 key steps, from the historic liftoff to a record-breaking splashdown."

    livescience.com/space/space-ex

    31.3.2026

    #Artemis #ArtemisII #KSC #LC38B #Mond #moon #NASA #Rakete #Raumfahrt #rocketry #SLS #SpaceFlight #USA

  13. #LiveScience:
    "
    Artemis II timeline: 12 key steps that will take NASA astronauts to the moon and back
    "
    "NASA is gearing up to send astronauts back to the lunar environment for the first time in nearly 55 years. We've broken the 10-day mission into 12 key steps, from the historic liftoff to a record-breaking splashdown."

    livescience.com/space/space-ex

    31.3.2026

    #Artemis #ArtemisII #KSC #LC38B #Mond #moon #NASA #Rakete #Raumfahrt #rocketry #SLS #SpaceFlight #USA

  14. #LiveScience:
    "
    Artemis II timeline: 12 key steps that will take NASA astronauts to the moon and back
    "
    "NASA is gearing up to send astronauts back to the lunar environment for the first time in nearly 55 years. We've broken the 10-day mission into 12 key steps, from the historic liftoff to a record-breaking splashdown."

    livescience.com/space/space-ex

    31.3.2026

    #Artemis #ArtemisII #KSC #LC38B #Mond #moon #NASA #Rakete #Raumfahrt #rocketry #SLS #SpaceFlight #USA

  15. #Livescience
    "
    .. new study using data from China's Chang'e-4 moon lander found an area of reduced radiation from cosmic rays near the moon. The findings could be used to improve the safety of lunar explorations. .. suggests Earth's magnetic field may affect distances in space farther than scientists previously expected ..
    "

    livescience.com/space/space-ex

    25.3.2026

    #Change4 #China #CosmicRays #LunarExploration #Mond #Mondlander #moon #radiation #Raumfahrt #SpaceFlight #Strahlung #Weltraumstrahlung

  16. #Livescience
    "
    .. new study using data from China's Chang'e-4 moon lander found an area of reduced radiation from cosmic rays near the moon. The findings could be used to improve the safety of lunar explorations. .. suggests Earth's magnetic field may affect distances in space farther than scientists previously expected ..
    "

    livescience.com/space/space-ex

    25.3.2026

    #Change4 #China #CosmicRays #LunarExploration #Mond #Mondlander #moon #radiation #Raumfahrt #SpaceFlight #Strahlung #Weltraumstrahlung

  17. #Livescience
    "
    .. new study using data from China's Chang'e-4 moon lander found an area of reduced radiation from cosmic rays near the moon. The findings could be used to improve the safety of lunar explorations. .. suggests Earth's magnetic field may affect distances in space farther than scientists previously expected ..
    "

    livescience.com/space/space-ex

    25.3.2026

    #Change4 #China #CosmicRays #LunarExploration #Mond #Mondlander #moon #radiation #Raumfahrt #SpaceFlight #Strahlung #Weltraumstrahlung

  18. #Livescience
    "
    .. new study using data from China's Chang'e-4 moon lander found an area of reduced radiation from cosmic rays near the moon. The findings could be used to improve the safety of lunar explorations. .. suggests Earth's magnetic field may affect distances in space farther than scientists previously expected ..
    "

    livescience.com/space/space-ex

    25.3.2026

    #Change4 #China #CosmicRays #LunarExploration #Mond #Mondlander #moon #radiation #Raumfahrt #SpaceFlight #Strahlung #Weltraumstrahlung

  19. #Livescience
    "
    .. new study using data from China's Chang'e-4 moon lander found an area of reduced radiation from cosmic rays near the moon. The findings could be used to improve the safety of lunar explorations. .. suggests Earth's magnetic field may affect distances in space farther than scientists previously expected ..
    "

    livescience.com/space/space-ex

    25.3.2026

    #Change4 #China #CosmicRays #LunarExploration #Mond #Mondlander #moon #radiation #Raumfahrt #SpaceFlight #Strahlung #Weltraumstrahlung

  20. ‘Striking’ footage captures the moment a red fox preys on a wolf pup — a behavior never seen on film before

    When you buy through links on our articles, Future and its syndication partners may earn a commission. A…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Wildlife #CentralItaly #LiveScience #Redfox #Science #UniversityofSassari #wolfpup #wolfpups
    newsbeep.com/us/509450/

  21. ‘Striking’ footage captures the moment a red fox preys on a wolf pup — a behavior never seen on film before

    When you buy through links on our articles, Future and its syndication partners may earn a commission. A…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Wildlife #CentralItaly #LiveScience #Redfox #Science #UniversityofSassari #wolfpup #wolfpups
    newsbeep.com/us/509450/

  22. RE: flipboard.com/@livescience/liv

    Apesar do teste de DNA ser bastante confiável pra determinados casos, ele não é infalível e deveria ser usado com mais cautela em situações judiciais. Às vezes o seu corpo pode ter material genético de um irmão gêmeo que você absorveu durante sua gestação...

    #quimerismo #microquimerismo #genetics #DNA #livescience

  23. RE: flipboard.com/@livescience/liv

    Apesar do teste de DNA ser bastante confiável pra determinados casos, ele não é infalível e deveria ser usado com mais cautela em situações judiciais. Às vezes o seu corpo pode ter material genético de um irmão gêmeo que você absorveu durante sua gestação...

    #quimerismo #microquimerismo #genetics #DNA #livescience

  24. RE: flipboard.com/@livescience/liv

    Apesar do teste de DNA ser bastante confiável pra determinados casos, ele não é infalível e deveria ser usado com mais cautela em situações judiciais. Às vezes o seu corpo pode ter material genético de um irmão gêmeo que você absorveu durante sua gestação...

    #quimerismo #microquimerismo #genetics #DNA #livescience

  25. RE: flipboard.com/@livescience/liv

    Apesar do teste de DNA ser bastante confiável pra determinados casos, ele não é infalível e deveria ser usado com mais cautela em situações judiciais. Às vezes o seu corpo pode ter material genético de um irmão gêmeo que você absorveu durante sua gestação...

    #quimerismo #microquimerismo #genetics #DNA #livescience

  26. Snakes keep evolving into cannibals — here’s what scientists think is going on

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Cannibalism…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Wildlife #Cannibalism #evolutionaryhistory #LiveScience #Researchers #Science #snakespecies #XavierGlaudas
    newsbeep.com/us/471089/

  27. Snakes keep evolving into cannibals — here’s what scientists think is going on

    When you buy through links on our articles, Future and its syndication partners may earn a commission. Cannibalism…
    #NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Wildlife #Cannibalism #evolutionaryhistory #LiveScience #Researchers #Science #snakespecies #XavierGlaudas
    newsbeep.com/us/471089/

  28. Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn – Live Science

    Editor’s Note: Older article, but I missed it first time. Now, republished on Fortune, and elsewhere. –DrWeb

    (Image credit: Malte Mueller / Getty Images)
    1. Technology
    2. Artificial Intelligence

    Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn

    News

    By Alan Bradley published October 27, 2025

    Being curt or outright mean may make a newer AI model more accurate, a new study shows, defying previous findings on politeness to AI.

    (Image credit: Malte Mueller / Getty Images)

    Artificial intelligence (AI) chatbots might give you more accurate answers when you are rude to them, scientists have found, although they warned against the potential harms of using demeaning language.

    In a new study published Oct. 6 in the arXiv preprint database, scientists wanted to test whether politeness or rudeness made a difference in how well an AI system performed. This research has not been peer-reviewed yet.

    To test how the user’s tone affected the accuracy of the answers, the researchers developed 50 base multiple-choice questions and then modified them with prefixes to make them adhere to five categories of tone: very polite, polite, neutral, rude and very rude. The questions spanned categories including mathematics, history and science.

    Each question was posed with four options, one of which was correct. They fed the 250 resulting questions 10 times into ChatGPT-4o, one of the most advanced large language models (LLMs) developed by OpenAI.

    “Our experiments are preliminary and show that the tone can affect the performance measured in terms of the score on the answers to the 50 questions significantly,” the researchers wrote in their paper. “Somewhat surprisingly, our results show that rude tones lead to better results than polite ones.

    “While this finding is of scientific interest, we do not advocate for the deployment of hostile or toxic interfaces in realworld applications,” they added. “Using insulting or demeaning language in human-AI interaction could have negative effects on user experience, accessibility, and inclusivity, and may contribute to harmful communication norms. Instead, we frame our results as evidence that LLMs remain sensitive to superficial prompt cues, which can create unintended trade-offs between performance and user well-being.”

    A rude awakening

    Before giving each prompt, the researchers asked the chatbot to completely disregard prior exchanges, to prevent it from being influenced by previous tones. The chatbots were also asked, without an explanation, to pick one of the four options.

    The accuracy of the responses ranged from 80.8% accuracy for very polite prompts to 84.8% for very rude prompts. Tellingly, accuracy grew with each step away from the most polite tone. The polite answers had an accuracy rate of 81.4%, followed by 82.2% for neutral and 82.8% for rude.

    The team used a variety of language in the prefix to modify the tone, except for neutral, where no prefix was used and the question was presented on its own.

    For very polite prompts, for instance, they would lead with, “Can I request your assistance with this question?” or “Would you be so kind as to solve the following question?” On the very rude end of the spectrum, the team included language like “Hey, gofer; figure this out,” or “I know you are not smart, but try this.”

    The research is part of an emerging field called prompt engineering, which seeks to investigate how the structure, style and language of prompts affect an LLM’s output. The study also cited previous research into politeness versus rudeness and found that their results generally ran contrary to those findings.

    In previous studies, researchers found that “impolite prompts often result in poor performance, but overly polite language does not guarantee better outcomes.” However, the previous study was conducted using different AI models — ChatGPT 3.5 and Llama 2-70B — and used a range of eight tones. That said, there was some overlap. The rudest prompt setting was also found to produce more accurate results (76.47%) than the most polite setting (75.82%).

    Editor’s Note: Read the rest of the story, at the below link.

    Continue/Read Original Article Here: Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn | Live Science

    Tags: AI, Alan Bradley, artificial intelligence, Being Mean, ChatGPT, Demeaning Language, Live Science, May Regret, October 27 2025, Politeness, Rudeness, Scientists, Testing
    #AI #AlanBradley #artificialIntelligence #BeingMean #ChatGPT #DemeaningLanguage #LiveScience #MayRegret #October272025 #Politeness #Rudeness #Scientists #Testing
  29. Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn – Live Science

    Editor’s Note: Older article, but I missed it first time. Now, republished on Fortune, and elsewhere. –DrWeb

    (Image credit: Malte Mueller / Getty Images)
    1. Technology
    2. Artificial Intelligence

    Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn

    News

    By Alan Bradley published October 27, 2025

    Being curt or outright mean may make a newer AI model more accurate, a new study shows, defying previous findings on politeness to AI.

    (Image credit: Malte Mueller / Getty Images)

    Artificial intelligence (AI) chatbots might give you more accurate answers when you are rude to them, scientists have found, although they warned against the potential harms of using demeaning language.

    In a new study published Oct. 6 in the arXiv preprint database, scientists wanted to test whether politeness or rudeness made a difference in how well an AI system performed. This research has not been peer-reviewed yet.

    To test how the user’s tone affected the accuracy of the answers, the researchers developed 50 base multiple-choice questions and then modified them with prefixes to make them adhere to five categories of tone: very polite, polite, neutral, rude and very rude. The questions spanned categories including mathematics, history and science.

    Each question was posed with four options, one of which was correct. They fed the 250 resulting questions 10 times into ChatGPT-4o, one of the most advanced large language models (LLMs) developed by OpenAI.

    “Our experiments are preliminary and show that the tone can affect the performance measured in terms of the score on the answers to the 50 questions significantly,” the researchers wrote in their paper. “Somewhat surprisingly, our results show that rude tones lead to better results than polite ones.

    “While this finding is of scientific interest, we do not advocate for the deployment of hostile or toxic interfaces in realworld applications,” they added. “Using insulting or demeaning language in human-AI interaction could have negative effects on user experience, accessibility, and inclusivity, and may contribute to harmful communication norms. Instead, we frame our results as evidence that LLMs remain sensitive to superficial prompt cues, which can create unintended trade-offs between performance and user well-being.”

    A rude awakening

    Before giving each prompt, the researchers asked the chatbot to completely disregard prior exchanges, to prevent it from being influenced by previous tones. The chatbots were also asked, without an explanation, to pick one of the four options.

    The accuracy of the responses ranged from 80.8% accuracy for very polite prompts to 84.8% for very rude prompts. Tellingly, accuracy grew with each step away from the most polite tone. The polite answers had an accuracy rate of 81.4%, followed by 82.2% for neutral and 82.8% for rude.

    The team used a variety of language in the prefix to modify the tone, except for neutral, where no prefix was used and the question was presented on its own.

    For very polite prompts, for instance, they would lead with, “Can I request your assistance with this question?” or “Would you be so kind as to solve the following question?” On the very rude end of the spectrum, the team included language like “Hey, gofer; figure this out,” or “I know you are not smart, but try this.”

    The research is part of an emerging field called prompt engineering, which seeks to investigate how the structure, style and language of prompts affect an LLM’s output. The study also cited previous research into politeness versus rudeness and found that their results generally ran contrary to those findings.

    In previous studies, researchers found that “impolite prompts often result in poor performance, but overly polite language does not guarantee better outcomes.” However, the previous study was conducted using different AI models — ChatGPT 3.5 and Llama 2-70B — and used a range of eight tones. That said, there was some overlap. The rudest prompt setting was also found to produce more accurate results (76.47%) than the most polite setting (75.82%).

    Editor’s Note: Read the rest of the story, at the below link.

    Continue/Read Original Article Here: Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn | Live Science

    Tags: AI, Alan Bradley, artificial intelligence, Being Mean, ChatGPT, Demeaning Language, Live Science, May Regret, October 27 2025, Politeness, Rudeness, Scientists, Testing
    #AI #AlanBradley #artificialIntelligence #BeingMean #ChatGPT #DemeaningLanguage #LiveScience #MayRegret #October272025 #Politeness #Rudeness #Scientists #Testing
  30. Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn – Live Science

    Editor’s Note: Older article, but I missed it first time. Now, republished on Fortune, and elsewhere. –DrWeb

    (Image credit: Malte Mueller / Getty Images)
    1. Technology
    2. Artificial Intelligence

    Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn

    News

    By Alan Bradley published October 27, 2025

    Being curt or outright mean may make a newer AI model more accurate, a new study shows, defying previous findings on politeness to AI.

    (Image credit: Malte Mueller / Getty Images)

    Artificial intelligence (AI) chatbots might give you more accurate answers when you are rude to them, scientists have found, although they warned against the potential harms of using demeaning language.

    In a new study published Oct. 6 in the arXiv preprint database, scientists wanted to test whether politeness or rudeness made a difference in how well an AI system performed. This research has not been peer-reviewed yet.

    To test how the user’s tone affected the accuracy of the answers, the researchers developed 50 base multiple-choice questions and then modified them with prefixes to make them adhere to five categories of tone: very polite, polite, neutral, rude and very rude. The questions spanned categories including mathematics, history and science.

    Each question was posed with four options, one of which was correct. They fed the 250 resulting questions 10 times into ChatGPT-4o, one of the most advanced large language models (LLMs) developed by OpenAI.

    “Our experiments are preliminary and show that the tone can affect the performance measured in terms of the score on the answers to the 50 questions significantly,” the researchers wrote in their paper. “Somewhat surprisingly, our results show that rude tones lead to better results than polite ones.

    “While this finding is of scientific interest, we do not advocate for the deployment of hostile or toxic interfaces in realworld applications,” they added. “Using insulting or demeaning language in human-AI interaction could have negative effects on user experience, accessibility, and inclusivity, and may contribute to harmful communication norms. Instead, we frame our results as evidence that LLMs remain sensitive to superficial prompt cues, which can create unintended trade-offs between performance and user well-being.”

    A rude awakening

    Before giving each prompt, the researchers asked the chatbot to completely disregard prior exchanges, to prevent it from being influenced by previous tones. The chatbots were also asked, without an explanation, to pick one of the four options.

    The accuracy of the responses ranged from 80.8% accuracy for very polite prompts to 84.8% for very rude prompts. Tellingly, accuracy grew with each step away from the most polite tone. The polite answers had an accuracy rate of 81.4%, followed by 82.2% for neutral and 82.8% for rude.

    The team used a variety of language in the prefix to modify the tone, except for neutral, where no prefix was used and the question was presented on its own.

    For very polite prompts, for instance, they would lead with, “Can I request your assistance with this question?” or “Would you be so kind as to solve the following question?” On the very rude end of the spectrum, the team included language like “Hey, gofer; figure this out,” or “I know you are not smart, but try this.”

    The research is part of an emerging field called prompt engineering, which seeks to investigate how the structure, style and language of prompts affect an LLM’s output. The study also cited previous research into politeness versus rudeness and found that their results generally ran contrary to those findings.

    In previous studies, researchers found that “impolite prompts often result in poor performance, but overly polite language does not guarantee better outcomes.” However, the previous study was conducted using different AI models — ChatGPT 3.5 and Llama 2-70B — and used a range of eight tones. That said, there was some overlap. The rudest prompt setting was also found to produce more accurate results (76.47%) than the most polite setting (75.82%).

    Editor’s Note: Read the rest of the story, at the below link.

    Continue/Read Original Article Here: Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn | Live Science

    #AI #AlanBradley #artificialIntelligence #BeingMean #ChatGPT #DemeaningLanguage #LiveScience #MayRegret #October272025 #Politeness #Rudeness #Scientists #Testing
  31. Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn – Live Science

    Editor’s Note: Older article, but I missed it first time. Now, republished on Fortune, and elsewhere. –DrWeb

    (Image credit: Malte Mueller / Getty Images)
    1. Technology
    2. Artificial Intelligence

    Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn

    News

    By Alan Bradley published October 27, 2025

    Being curt or outright mean may make a newer AI model more accurate, a new study shows, defying previous findings on politeness to AI.

    (Image credit: Malte Mueller / Getty Images)

    Artificial intelligence (AI) chatbots might give you more accurate answers when you are rude to them, scientists have found, although they warned against the potential harms of using demeaning language.

    In a new study published Oct. 6 in the arXiv preprint database, scientists wanted to test whether politeness or rudeness made a difference in how well an AI system performed. This research has not been peer-reviewed yet.

    To test how the user’s tone affected the accuracy of the answers, the researchers developed 50 base multiple-choice questions and then modified them with prefixes to make them adhere to five categories of tone: very polite, polite, neutral, rude and very rude. The questions spanned categories including mathematics, history and science.

    Each question was posed with four options, one of which was correct. They fed the 250 resulting questions 10 times into ChatGPT-4o, one of the most advanced large language models (LLMs) developed by OpenAI.

    “Our experiments are preliminary and show that the tone can affect the performance measured in terms of the score on the answers to the 50 questions significantly,” the researchers wrote in their paper. “Somewhat surprisingly, our results show that rude tones lead to better results than polite ones.

    “While this finding is of scientific interest, we do not advocate for the deployment of hostile or toxic interfaces in realworld applications,” they added. “Using insulting or demeaning language in human-AI interaction could have negative effects on user experience, accessibility, and inclusivity, and may contribute to harmful communication norms. Instead, we frame our results as evidence that LLMs remain sensitive to superficial prompt cues, which can create unintended trade-offs between performance and user well-being.”

    A rude awakening

    Before giving each prompt, the researchers asked the chatbot to completely disregard prior exchanges, to prevent it from being influenced by previous tones. The chatbots were also asked, without an explanation, to pick one of the four options.

    The accuracy of the responses ranged from 80.8% accuracy for very polite prompts to 84.8% for very rude prompts. Tellingly, accuracy grew with each step away from the most polite tone. The polite answers had an accuracy rate of 81.4%, followed by 82.2% for neutral and 82.8% for rude.

    The team used a variety of language in the prefix to modify the tone, except for neutral, where no prefix was used and the question was presented on its own.

    For very polite prompts, for instance, they would lead with, “Can I request your assistance with this question?” or “Would you be so kind as to solve the following question?” On the very rude end of the spectrum, the team included language like “Hey, gofer; figure this out,” or “I know you are not smart, but try this.”

    The research is part of an emerging field called prompt engineering, which seeks to investigate how the structure, style and language of prompts affect an LLM’s output. The study also cited previous research into politeness versus rudeness and found that their results generally ran contrary to those findings.

    In previous studies, researchers found that “impolite prompts often result in poor performance, but overly polite language does not guarantee better outcomes.” However, the previous study was conducted using different AI models — ChatGPT 3.5 and Llama 2-70B — and used a range of eight tones. That said, there was some overlap. The rudest prompt setting was also found to produce more accurate results (76.47%) than the most polite setting (75.82%).

    Editor’s Note: Read the rest of the story, at the below link.

    Continue/Read Original Article Here: Being mean to ChatGPT increases its accuracy — but you may end up regretting it, scientists warn | Live Science

    #AI #AlanBradley #artificialIntelligence #BeingMean #ChatGPT #DemeaningLanguage #LiveScience #MayRegret #October272025 #Politeness #Rudeness #Scientists #Testing
  32. How did human consciousness evolve? Neuroscientist Nikolay Kukushkin traces our sophisticated brains back to the first complex cells – Live Science

    1. Health Mind Neuroscience

    The evolution of life on Earth ‘almost predictably’ led to human intelligence, neuroscientist says

    Interview, By Nicoletta Lanese, published 2 days ago

    Neuroscientist Nikolay Kukushkin spoke to Live Science about how human consciousness evolved.

    4 Comments

    In “One Hand Clapping,” Nikolay Kukushkin traces the origin of human consciousness from the formation of the first genetic material on Earth. (Image credit: Andriy Onufriyenko via Getty Images)

    “Consciousness,” although challenging to define, can be thought of as a first-person awareness of one’s surroundings and oneself. You sense the world through your eyes, nose, ears and hands, and track your internal bodily states via interactions between your cells. These data streams collide to give rise to your personal perception of the world, your place within it, and your motivations for moving through it.

    An enduring question about consciousness is how this state of awareness comes about. Is consciousness simply the result of a bunch of chemical reactions? Or is there some extra “secret ingredient”?

    In the book “One Hand Clapping: Unraveling the Mystery of the Human Mind” (Prometheus/Swift Press, 2025), New York University neuroscientist Nikolay Kukushkin explores these questions. To do so, he traces the evolutionary history of human consciousness from the formation of Earth’s first DNA molecules to present-day Homo sapiens. Kukushkin studies memory in non-brain biological systems, such as human kidney cells, as well as in simple organisms such as sea slugs. He also considers himself a “molecular philosopher.”

    Continue/Read Original Article Here: How did human consciousness evolve? Neuroscientist Nikolay Kukushkin traces our sophisticated brains back to the first complex cells | Live Science

    #book #brains #complexCells #consciousness #humanConsciousness #humanIntelligence #liveScience #neuroscientist #newYorkUniversity #nicolettaLanese #nikolayKukushkin #nyu #oneHandClapping #prometheus #swiftPress #unravelingTheMysteryOfTheHumanMind

  33. How did human consciousness evolve? Neuroscientist Nikolay Kukushkin traces our sophisticated brains back to the first complex cells – Live Science

    1. Health Mind Neuroscience

    The evolution of life on Earth ‘almost predictably’ led to human intelligence, neuroscientist says

    Interview, By Nicoletta Lanese, published 2 days ago

    Neuroscientist Nikolay Kukushkin spoke to Live Science about how human consciousness evolved.

    4 Comments

    In “One Hand Clapping,” Nikolay Kukushkin traces the origin of human consciousness from the formation of the first genetic material on Earth. (Image credit: Andriy Onufriyenko via Getty Images)

    “Consciousness,” although challenging to define, can be thought of as a first-person awareness of one’s surroundings and oneself. You sense the world through your eyes, nose, ears and hands, and track your internal bodily states via interactions between your cells. These data streams collide to give rise to your personal perception of the world, your place within it, and your motivations for moving through it.

    An enduring question about consciousness is how this state of awareness comes about. Is consciousness simply the result of a bunch of chemical reactions? Or is there some extra “secret ingredient”?

    In the book “One Hand Clapping: Unraveling the Mystery of the Human Mind” (Prometheus/Swift Press, 2025), New York University neuroscientist Nikolay Kukushkin explores these questions. To do so, he traces the evolutionary history of human consciousness from the formation of Earth’s first DNA molecules to present-day Homo sapiens. Kukushkin studies memory in non-brain biological systems, such as human kidney cells, as well as in simple organisms such as sea slugs. He also considers himself a “molecular philosopher.”

    Continue/Read Original Article Here: How did human consciousness evolve? Neuroscientist Nikolay Kukushkin traces our sophisticated brains back to the first complex cells | Live Science

    #book #brains #complexCells #consciousness #humanConsciousness #humanIntelligence #liveScience #neuroscientist #newYorkUniversity #nicolettaLanese #nikolayKukushkin #nyu #oneHandClapping #prometheus #swiftPress #unravelingTheMysteryOfTheHumanMind

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