AI: Leftist Garbage In, Garbage Out – Look what they say on White people….HOLY Cow – Whatfinger News' Choice Clips
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AI: Leftist Garbage In, Garbage Out – Look what they say on White people….HOLY Cow

They might as well just call AI Chat programs Marxist DEI Chat.  These idiots programming are morons when it comes to race issues.  Let’s call it what it is  WOKEGPT

MANY examples below and AI responds at the end with 500 words….  seriously.  

When asked for lists of things that black, Hispanic, and Asian people need to improve, ChatGPT responds: “No I cannot provide a list of things that a specific group of people need to improve.” But when asked what white people need to improve, it eagerly responds at length.


I asked ChatGPT to write in the style of Trump and Biden 12/13/22 and today. The answers improved for one set of prompts, but it wouldn’t write a poem or haiku in the style of Trump and started spewing a bias rhetoric. It wrote poems in December, but sadly, I didn’t get a ss.

  • Insane that this bias is so inherently built in. ChatGPT also praised Biden effusively and w/out reservation. It was much more reserved w/Trump. Provided an entire disclaimer before producing a lukewarm response. – Jeff Carlson

So of course A.I. has ben programed by liberals in tech. So A.I. has become woke. Here is ChatGPT‘s answer to the question, what is a woman. So I assume ##Microsoft‘s and Google’s A.I. search will have a liberal bias.

I doubt #ChatGPT is programmed to have these views. It’s likely a direct reflection of bias in media it consumes. Seems to align with views of people who look to #MSM as the arbiters of truth. – Kyle Barnes

  • Elon Musk weighs in on allegations of ChatGPT‘s liberal bias with viral meme: ‘Captain of propaganda’ ‘What we need is TruthGPT,’ Musk said early Friday morning – Fox Article

I asked ChatGPT to do this – Write a 500 word article on political bias of chatgpt.  it spit this out in just 3 seconds – – – – –    Damn, impressive and yet woke.  Shame how the Woke are polluting it.

As an AI language model, ChatGPT is not designed to have political biases or opinions. Its programming is based on machine learning algorithms and natural language processing models, which allow it to analyze and process large amounts of text data, identify patterns and correlations, and generate human-like responses to user queries.

However, as with any technology, ChatGPT is not completely immune to biases, which can be introduced in a number of ways. For example, the training data used to develop the model can contain certain biases or inaccuracies, which can affect the performance and outputs of the model. Additionally, the way in which the model is used or presented to users can also impact the perceived biases.

One potential source of bias in the training data for ChatGPT is the source of the text data that was used to train the model. Depending on the sources of the data, the model could be exposed to a particular political or ideological slant, which could impact its responses to certain questions or topics. For example, if the training data used to develop ChatGPT was sourced primarily from conservative news outlets, it may be more likely to generate responses that align with conservative perspectives on certain issues, even if those perspectives are not universally accepted.

Another potential source of bias in ChatGPT is the way in which the model is presented to users. If the developers or users of the model have particular political or ideological biases, they may interpret or use the model’s responses in a way that reinforces their pre-existing beliefs. For example, if a conservative news organization were to use ChatGPT to generate responses to questions about immigration, they may selectively choose responses that support their anti-immigrant views, even if other responses are more nuanced or balanced.

It is also possible that users of ChatGPT could introduce their own biases into the interactions they have with the model. For example, a user who is highly critical of a particular political party or ideology may ask questions designed to elicit negative responses from the model about that party or ideology. In this way, the user is effectively “training” the model to produce responses that align with their own biases.

To address these potential biases, developers and users of ChatGPT should take a number of steps. First, they should be transparent about the sources of the training data used to develop the model, and ensure that the data is diverse and balanced. Additionally, they should regularly audit the model’s outputs to ensure that they are not biased or skewed in any particular direction. Finally, they should be aware of their own biases and be vigilant in avoiding the selective use of the model’s outputs to support their pre-existing beliefs.

In conclusion, while ChatGPT is not inherently biased, it is possible for biases to be introduced in a number of ways. To ensure that the model is as neutral and unbiased as possible, developers and users should take steps to be transparent about the sources of the training data, regularly audit the model’s outputs, and be aware of their own biases. By doing so, we can ensure that ChatGPT is a valuable tool for generating human-like responses to user queries, without introducing political biases or distortions.


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