kaggie.com

AI Use

The posts on this page will frequently use language models to generate the majority of its content. This means that they will reflect ideas and concepts that I may not personally understand. Is that too radical? Well, we have to start somewhere. I will in some instances edit the articles, or splice multiple outputs.

So, my big disclaimer is, it’s AI: you can’t ever trust an AI 100%.
AIs are probabilistic models, and will have errors.
That doesn’t mean that they aren’t useful.
But this is the disclaimer portion.

FAQs

Is the information in these posts accurate?

Most of this is AI text, which is prone to faulty logic, doesn’t have a relationship with the real world, and has the biases of the data that the models were trained on. The people training the models pursue “AI safety” to the best of their ability. But the answer is, it’s good enough to start learning about things and obtain a frame of reference, but the logic and information will not always be accurate. The articles will present enough information to hopefully jump start more interesting queries.

Why are you generating these articles?

For entertainment and learning purposes. To see how different AI models handle difficult concepts.

What AI language models do you use?

All sorts. This is more the secret sauce, but there are language models produced by Google, OpenAI, Twitter, Bing, Microsoft, Claude.. to name a few. There are others as well, like Llama.

Why aren’t these topics your field of expertise?

They aren’t, normally. That’s sort of the benefit of AI language models to me – to put things in formats that I find easier to review, study, think about, and check the accuracy of. I like having dense information, and language models can sometimes struggle at that. At the same time, the information has to be accessible.

Anyone can generate AI text these days. Why are you putting yours online?

That’s true. But not everyone will generate the same AI text. I think it’s beneficial for others to see what AI can do.

Does anyone visit this website?

Not really. Most of the people visiting this website were trying to go to the machine learning website KaggLe.com. Maybe if the information here becomes interesting enough, and the site becomes professional enough, I might promote it.

Aren’t you worried about AI text getting you into trouble for being controversial, or for some other reason?

God knows. AI language models are such a new thing. I’m not making money on this, which should make any issues less important.


Here’s what Google’s Gemini has to say about generating text, with this as the input prompt, “Write a quote on the use of AI models for generating language content. Make it inspirational.”

AI, a symphony of algorithms, unlocks the boundless potential of human expression, transforming the way we craft narratives, explore ideas, and connect with the world.


Gemini analyzed what it wrote, stating that the above statement:

Emphasizes the creative potential of AI: It positions AI as a tool that enhances human creativity rather than replacing it.
Highlights the transformative power of AI: It suggests that AI can revolutionize how we communicate and express ourselves.
Focuses on human connection: It emphasizes that AI can be used to build stronger connections and foster deeper understanding.

Thanks Gemini. As an AI, you aren’t as demure as humans and can’t really be described as having a ‘holier-than-thou’ attitude.

I then asked Gemini to, “Make the quote funnier, but don’t analyze it.” It returned this:

Finally, a writing partner who never complains about your terrible puns or judges your existential dread.

I asked Gemini for reasons to use language models, and a partial response was:

Research and Analysis Catalyst:

  • Summarize research papers and news articles: Quickly grasp the key findings and insights.
  • Analyze large datasets and identify trends: Uncover hidden patterns and make data-driven decisions.
  • Generate research hypotheses: Explore new avenues of inquiry and spark innovative ideas.

I asked it to tell me why I should fear language models. It gave back this list:

  • Bias and Discrimination: LMs are trained on massive datasets that often reflect existing societal biases. This can lead to biased outputs, perpetuating stereotypes and discrimination in areas like gender, race, and religion.
  • Misinformation and Manipulation: LMs can be used to generate convincing but false information, including fake news articles, deepfakes, and misleading social media posts. This can be used to manipulate public opinion and spread harmful propaganda.
  • Job Displacement: As LMs become more sophisticated, they could automate tasks currently performed by humans, such as content creation, customer service, and even certain types of research. This could lead to job losses and economic disruption.
  • Lack of Transparency and Control: The inner workings of many LMs are complex and opaque. This lack of transparency makes it difficult to understand how they make decisions and can lead to unintended consequences. Additionally, the potential for misuse by malicious actors raises concerns about control and regulation.
  • Dependence and Deskilling: Over-reliance on LMs could lead to a decline in critical thinking and problem-solving skills in humans. As we become more accustomed to receiving information and completing tasks with the help of AI, we may become less capable of doing these things independently.

That was a pretty long response so I asked it to explain language models like my name is “Grog, the caveman.” It replied with,

See that big pile of rocks? Those are stories. We use magic fire to make the rocks talk.
The talking rocks can help us.
Like finding yummy berries or making a strong cave. But sometimes the rocks lie.
We must be smart, Grog.

Be smart. I asked google how to be smart.
Its advice was to, “Embrace challenges.”

I like that.

Be smart. Embrace challenges.