Tag: ai

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Bookmarked Degenerative AI in education by Ben Williamson.

But what if, instead of being generative of educational transformations, AI in education proves to be degenerative—deteriorating rather than improving classroom practices, educational relations and wider systems of schooling?

I’ve read this a couple of time, and probably need a couple more.

I guess, like other technologies that have entered the classroom, we are very much in the hands of the powerful. We get the technology we are given. Usually at a low cost, but perhaps at a high price?

As a side note, Jetpack now offers to change the tone of what I write with AI. Here is the humorous rewrite of the previous paragraph:

Continue reading →

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Me:

how could I display a list of links using the WordPress opml in the body of a page?

chat.openai.com:

[opml url=”URL_OF_OPML-FILE”]

Replace “URL_OF_OPML_FILE” with the actual URL you copied in the previous step.
For example:

[opml url=”http://yourwebsite.com/wp-content/uploads/links.opml”]

  1. Save or update the page.
  2. Preview or visit the page to see the list of links displayed.
    WordPress will parse the OPML file and generate the necessary HTML to display the links.

Me:
Are you sure there is an opml shortcode? This didn’t work on my site

chat.openai.com:

I apologize for the confusion. You are correct that there is no built-in OPML shortcode in WordPress. I apologize for the incorrect information provided.

What was intriguing was the total confidence for the reply and the immediate apology, did it check to see if I was correct? It then went on to offer a plugin suggestion…

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BBC Radio 4 – Word of Mouth, Chatbots 1

Like lots of other folk I’ve been reading plenty about Large Language Models, AI & Chatbots and playing with some of the toys.

I really liked Professor Bender’s approach and method. I also found this a very easy listen. My mind has tended to wander off when reading blogs post about AI. Very clear on the “not intelligent” and the risks associated with chatbots trained on large piles of language.

And specifically the things that they’re predicting is what would be a plausible next word given all the preceding words here and then again and then again and again.

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And so that’s linguistically interesting that once you get to billions of words of text, there’s enough information in there just in the distribution of words to stick with things that are both grammatical and seemingly coherent.

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So that’s a cool observation and it’s dangerous because we tend to react to grammatical, fluent, coherent, seeming text as authoritative and reliable and valuable.

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So instead of talking about automatic speech recognition, I prefer to talk about automatic transcription because that describes what we’re using it for and doesn’t attribute any cognition to the system that is doing the task for us.2

 

  1. I subscribe to the RSS feed of this BBC radio program as a podcast, pity you can’t find the feed on the webpage. ↩
  2. Ironically I used Aiko to get the text of the podcast for the quotes: “transcription is powered by OpenAI’s Whisper model running locally on your device” ↩

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Interesting & scary thread for those at BETT and other education events. Linked abstracts worth a peek.

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Read Novacene by James Lovelock review – a big welcome for the AI takeover
The Gaia theorist, at 100 years old, is infectiously optimistic about the prospect of humanity being overtaken by superintelligent robots

But for Lovelock, the Gaia hypothesis will save us, because the machines will realise that they need organic life to keep the planet at a habitable temperature. (Even electronic life could not survive on an Earth that veered into runaway global warming.)

I read and enjoyed Gaia when it came out, Lovelock still sounds fascinating! I look forward to reading this.