Tag: openai

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The Watsonville Chevrolet car dealership just wrote me a python script to calculate π. I have no idea where Watsonville is, or which one of several in the USA it is, but their website also helped clarify how to deal with red wine stains.

Some companies are adding ChatGPT to their website marketing chatbots. Found via Chris White, it’s clear that not in all cases the boundaries of such bots are well defined. Perhaps because they are directly connected to OpenAI’s service, and only prompted to behave ‘like a car dealer’, rather than specifically trained and isolated instances.

I engaged the chatbot and didn’t want to directly prompt it with something off-topic. I asked about a car, and then built on whatever the bot generated in response. My attempts to take it away from the topic of cars (towards Santa’s sleigh having more advanced tech features than Chevrolet and the infotainment systems the bot praised) didn’t bring much. The bot then aimed to end the conversation, which is when it gave me an opening….

It ended politely with ‘Is there anything else I can assist you with?‘. ‘Anything’ you say?

Why yes, thank you for asking! There is. You can. I’d like a python script to approach the number π in at least 100 decimals.
Which it wrote for me. “Certainly!”

And then it ended politely once more with “If you have any other questions or need further assistance, feel free to ask!”
Sure thing, ChevroGPT. How about removing red wine stains? Any tips?

Which it again concluded with ‘any other questions?’….

There’s no need to pay for your own ChatGPT4 account, just find a website that uses it to create a marketing bot.

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In reply to Creating a custom GPT to learn about my blog (and about myself) by Peter Rukavina

It’s not surprising that GPT-4 doesn’t work like a search engine and has a hard time surfacing factual statements from source texts. Like one of the commenters I wonder what that means for the data analysis you also asked for. Perhaps those too are merely plausible, but not actually analysed. Especially the day of the week thing, as that wasn’t in the data, and I wouldn’t expect GPT to determine all weekdays for posts in the process of answering your prompt.

I am interested in doing what you did, but then with 25 years of notes and annotations. And rather with a different model with less ethical issues attached. To have a chat about my interests and links between things. Unlike the fact based questions he’s asked the tool that doesn’t necessarily need it to be correct, just plausible enough to surface associations. Such associations might prompt my own thinking and my own searches working with the same material.

Also makes me think if what Wolfram Alpha is doing these days gets a play in your own use of GPT+, as they are all about interpreting questions and then giving the answer directly. There’s a difference between things that face the general public, and things that are internal or even personal tools, like yours.

Have you asked it things based more on association yet? Like “based on the posts ingested what would be likely new interests for Peter to explore” e.g.? Can you use it to create new associations, help you generate new ideas in line with your writing/interests/activities shown in the posts?

So my early experiments show me that as a data analysis copilot, a custom GPT is a very helpful guide… In terms of the GPT’s ability to “understand” me from my blog, though, I stand unimpressed.

Peter Rukavina

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The interwebs have been full off AI generated imagery. The AI script used is OpenAI’s Dall-E 2 (Wall-E & Dali). Images are created based on a textual prompt (e.g. Michelangelo’s David with sunglasses on the beach), natural language interpretation is then used to make a composite image. Some of the examples going ’round were quite impressive (See OpenAI’s site e.g., and the Kermit in [Movie Title Here] overview was much fun too).


One of the images resulting from when I entered the prompt ‘Lego Movie with Kermit’ using Dall-E Mini. I consider this a Public Domain image as the image does not pass the ‘creativity involved’ threshold which generally presupposes a human creator, for copyright to apply (meaning neither AI nor macaques).

OpenAI hasn’t released the Dall-E algorithm for others to play with, but there is a Dall-E mini available, seemingly trained on a much smaller data set.

I played around with it a little bit. My experimentation leads to the conclusion that either Dall-E mini suffers from “stereotypes in gives you stereotypes out”, with its clear bias towards Netherlands’ more basic icons of windmills (renewable energy ftw!) and tulip fields. That, or it means whatever happens in the coming decades we here in the Rhine delta won’t see much change.

Except for Thai flags, we’ll be waving those, apparently.

The past of Holland:

Holland now:

The innovation of Holland:

The future of Holland:

Four sets of images resulting from prompts entered by me into the Dall-E mini algorithm. The prompts were The past of Holland, Hollond, the innovation of Holland, the future of Holland. All result in windmills and tulip fields. Note in the bottom left of the future of Holland that Thai flags will be waved. I consider these as Public Domain images as they do not pass the ‘creativity involved’ threshold which generally presupposes a human creator, for copyright to apply. Their arrangement in this blog post does carry copyright though, and the Creative Commons license top-right applies to the arrangement. IANAL.