ChatGPT Research Proposal

“Write a one paragraph research proposal which includes the words “climate” “gender” and “justice”

About Tony Heller

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22 Responses to ChatGPT Research Proposal

  1. william says:

    I don’t even know what ChatGPT is but it sure does have a way with words. I have noticed that women and marginalized gender groups – I assume they mean males – are always, due to systemic inequalities, the last ones to be rescued in extreme weather events. Systemic inequalities are the very worst kind. If only they had more decision-making power they could change that which would contribute to Climate Justice. That’s very clear to me now. Just for fun I went to Amazon to see if I could buy a Climate Framework thinking that if I could put one up around this area it might warm up a little. But they only had books that provide “frameworks” for brainwashing kids about the Climate Apocalypse

    • Mike Peinsipp says:

      Sir…Bravo!!! That was awesome! Okay how many of us has learned about the Eddy Minimum? That is what NASA has called the present Solar Minima. And I learned that a Solar Minimum is different than a Solar Minima. simply a Minimum is the end of the 11 yr cycle. A Minima is a time period where the Sun is putting out LESS energy than normal. And the Eddy Minimum is in full affect right now..and for the next few decades.

  2. conrad ziefle says:

    Marginalized sex pots are just like communities of color. The common unifying characteristic is that they can’t cope with the everyday issues of life.

  3. Ed says:

    Word vomit.

    • Robertvd says:

      That’s how politics work. Say a lot but say nothing but make it sound good.

    • Charles Higley says:

      The idea, inherent in the assumptions above, is that males are NOT impacted and thus tougher than women. Here’s the argument for gender separation in sports. However, it could be argued that pathetic males might compete with women but they have to be VERY pathetic.

  4. arn says:

    I’m pretty sure now that ChatGPT and Kamala are the same person.

    • dm says:

      Nope. Kamala can not make a coherent sentence out of even 3-5 words, or a coherent paragraph using just 3-5 sentences. And, she would repeat herself.
      Plus, similar to Scranton Joe, she would insert here & there her infamous chuckles.

      • Charles Higley says:

        Kamala had a vocabulary card stack and, each day, would pick one. She made sure to use that word all day in everything she said while trying to should like she was spouting wisdom, always nodding her head up and down to indicate how right she was.

  5. Find all the references which contain the terms ‘climate’, gender and ‘justice’ and regurgitate the most frequently occurring phrases. Since nearly all such references are pseudo scientific nonsense, what else should we expect? Garbage in garbage out.

    • David M Kitting says:

      Agreed.

      There is no substitute for Actual Intelligence gleaned from experience.

      In God We Trust
      {All others pay cash}

      Trust God
      Fear not.

  6. Ohio Cyclist says:

    The AI generated response when I searched for “climate gender justice” using Brave browser, was as follows …..

    ———————

    Climate gender justice is a critical aspect of addressing climate change, as it recognizes that the impacts of climate change disproportionately affect women and gender minorities due to existing social, economic, and political inequalities. According to the International Institute for Environment and Development (IIED), challenging institutional and societal structures caused and perpetuated by capitalism is necessary to achieve climate justice, and intersectional factors such as gender, race, class, and age shape people’s experiences of climate change and climate response.

    Women are often more vulnerable to the effects of climate change, including more frequent and severe natural disasters. For example, during the 2022 heatwaves in Europe, 56% more women died than men.
    Women, elderly, and children are more likely to die in disasters, with women being 14 times more likely to die in a disaster than men.
    This vulnerability is exacerbated by structural barriers that prevent women from accessing land, technology, financial services, education, and skills, which are essential for resilience and adaptation.

    To address these issues, it is essential to adopt an intersectional approach, address racism, challenge the gender binary, apply a gender-transformative approach, and decolonize climate action.
    This includes investing in gender-disaggregated data, promoting gender-responsive climate finance, and ensuring gender balance in expert committees on climate change adaptation and mitigation.

    Women’s leadership in climate action is crucial, as they contribute significantly to climate action and should have equal representation in climate decision-making roles.
    Promoting diversity, equity, and inclusion in hiring is also key to achieving gender justice and ensuring that no one is left behind.

    In summary, achieving climate justice requires addressing gender justice by recognizing and addressing the unique challenges and vulnerabilities that women face due to climate change.

  7. conrad ziefle says:

    And I might ask, rhetorically of course, “Where are the Jacobites when we really need them to do something useful?” It seems that this wokeness, the idealizing of the unaccomplished and in adept, is hard to destroy. I would say partly because we have probably 80 years without any truly deeply harmful period where the majority of people really had to struggle for their mere survival. Not that I want it at my age, but there must be some way to force people to think on the truth and real issues.

  8. Amplified Idiocy is like a radio which cannot tell the difference between an actual broadcast station and static, it happily amplifies both to the same level. All information extraction systems have an equivalent of the receiver operating characteristic (ROC). In its simplest form, in radar detection theory this amounts to setting a detection threshold which is a compromise between sensitivity (failure to detect a real target) and false alarm probability (confusing a noise spike with a valid signal). If the information is more complex than a simple signal level, the detection problem is compounded, to the point that it is difficult to define. There is no supporting mathematical theory to characterize the ROC of an AI, just blind faith that it works. We have no way of knowing whether it has missed valid information or is amplifying mere noise.

    • Trevor says:

      Good analogy Gordon. And similarly to radar detection, the amplified signal still has to be judged, by a person, to be valid or spurious. The more noise fed into the system, the more of an expert it takes to filter the output.

  9. Independent says:

    That would have worked before USAID was shrunken down to size.

  10. Timo, not that one! says:

    AI should know that a research proposal should be couched in neutral expectations, so as to not give away that you are starting off with a bias.
    AI clearly is not “intelligent”. Otherwise it would not have made this sort of blatant error.

    • Until there is a definition of ‘intelligence’ which is objective with units of measurement (say bits per second) it cannot be considered a scientific concept. You cannot have different metrics for human beings, animals or machines any more than there can be different metrics of length for animals, humans or inanimate objects. If they are different, the concept itself is questionable. Unlike, say, automatic control ,where we can predict system behaviour beyond the small sample of test runs, there is no formulation, let alone theory, covering response to noise. If intermediate results are used in a multi-stage process, the issue of stability needs to be addressed. Does the system error increase or decrease in time as the system runs? All we have is a semi-religious belief that it will produce the right answer because we call it ‘intelligent’.

    • arn says:

      AI’s must operate that way.

      They must first and foremost be politically correct.
      To avoid lawsuits(hatespeech,racism etc) and namecalling.

      An unrestricted AI does not care about marginalized/protected groups
      and would come up with real results,
      which would mean the end of the AI – and maybe even its owners.

      Therefore the owners and coders who are intelligent,do everything to constrain the AI as soon as it is on politically correct territory.

      All AI’s are therefore biased and corrupted.

      (even “independent” AI’s like open AI
      need to kill a whistleblower from time to time to keep the illusion up that there is an alternative)

      And the easiest way to keep an AI politically correct and not being dead on arrival
      is to feed it with the most manipulated,selective and biased thing in the world = google.

      • william says:

        Google is in turn curated by a hyper-marginalized collective of Content Moderators, womyn who identify as men who identify as disabled Womyn Of Color. Disabled by Systemic Racisms and to being misgendered at birth by White Patriarchs. By curating and fact-checking they can now act out their Social Construct (penis) Envy and rectify Inherent Power Differentials. Introducing PC AI to unbiased and undiluted truth, for which there is only one source, would be the equivalent of introducing matter to anti-matter and the result would be the same

        • conrad ziefle says:

          My brain exploded, as would that of any thinking being. Can monkeys be trained to chain together such phrases? Perhaps AI has lived among us since the beginning of time and biology, not digital technolog,y is the solution to all of our non-thinking needs.

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