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davidlms | A personal blog

Intelligence Up for Auction

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Without fanfare. Without making waves. Machines have conquered the penultimate bastion they needed to supplant humanity: reasoning. The great barrier that automation faced has been demolished. I’m referring, of course, to OpenAI’s announcement of o31.

It’s true that these models don’t reason as humans do; they only simulate doing so. But, setting our ego aside, the question is: How much does that difference really matter?

The AI disruption at the school gates

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It seems unbelievable that a year has passed since the last time I wrote a new article. And yet, here we are.

The truth is, I don’t like returning to write about the same topic as last time at all. Artificial Intelligence has almost monopolized our context, and I’m not thrilled that it monopolizes this personal space as well. But at the same time, I feel the need to talk about it, as I have the conviction that reflection on the uses of this technology is urgent and essential. A moral obligation as a society, and therefore, elevated to the next power for the teaching collective. If you, dear reader, have made it this far and find yourself absolutely disgusted at having to read about this topic again, I apologize and encourage you to continue your journey through other links. I don’t think I’ll write anything interesting anyway.

Teachers, it's time to make peace with AI

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In my previous life as a student, the preparation of monographic works, both individual and group, went through several stages. In the first, we would go to the library (I’m sure this word sends shivers down many people’s spines) hoping to locate among the voluminous volumes some useful paragraph that we could copy manually. A little later, some privileged few of us were lucky enough to have some CDs labeled “Encarta”1. If the topic wasn’t too complicated, they saved us a trip and the search was now performed by the computer itself. Otherwise, the dynamic was the same: locate the paragraph and copy it by hand. In the last stage, we already had access to the Internet. And with it, the greatest nightmare for teachers who assigned homework: Wikipedia. Of course, they managed to convince us that most of the information it contained was probably false. Because there: “Anyone could write”. It’s curious, because somehow for the first time we were forced to do something different. We knew that teachers would check the Wikipedia article, so it could be our source of information, but we had to slightly change the way of expressing the same thing, we could no longer copy a paragraph literally. Well, at least until El RincΓ³n del Vago2 arrived. It seemed that the only solution available to avoid copy/paste was to make us do the work by hand instead of letting us use the computer. “This way we make sure they read the information at least once,” they might have thought. How beautiful and orderly a printed work looked! And how wonderful were the covers made with WordArt3. The fact is that we were never taught to extract and manipulate information, or at least I don’t remember learning it in those stages. It was funny to see the textbooks of classmates, highlighted with “the most important”: Everything, except for determiners, prepositions, and some adverbs.

Apple's Possible AI Strategy

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Undoubtedly, in recent years we’ve been experiencing a tsunami of innovations in what’s known as Generative Artificial Intelligence, which are nothing more than trained models to generate texts, images, videos, voices, music, and other types of content.

Several media outlets have pointed to Apple as the major tech company absent in this race towards who knows where (AGI, according to some). This accusation was particularly pronounced after the last WWDC 2023, where the big star was the Apple Vision Pro and the “new” concept of spatial computing. Many voices indicated that Apple had lost its “vision” (how ironic) by not jumping on the AI train and maintaining course towards XR, when Meta “had shown it was a dead end”. This XR topic would warrant another article, so for now I’m not going to explore that path and I’m going to focus on the AI trail.

End-of-Year Review for the 2022-2023 Academic Year

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Or a year and a half later. That could have been the title too.

Most people think of years as running from January to December. And it’s tradition to use the last few days to reflect on what I’ve done, what I wanted to do, and what I want to do before facing a new cycle around the sun. But the teaching collective measures the passage of time in academic years1. And, at least many of us, use the summer to do just that. Because then in December we’re already bogged down (in the literal sense)2 up to our eyebrows in too many things to consider anything remotely serious. As I write this, I realize that I already told the same thing in another post. With the few I have published, and I’m repeating myself. The best thing is for you to stop reading immediately, because what follows can only be less original.

Student by Profession

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As educators, we must constantly update ourselves. In the use of new (which are no longer new) technologies, classroom management, project development, different forms of assessment, pedagogical research… And about our subject. It doesn’t matter which teaching body1 you belong to. Internet communication has allowed different fields of study to evolve at a speed never seen at any other time in history. However, I believe that in this aspect, the field of computer science leaves all others in the dust. And if anyone doesn’t think so, well, they can come up here and prove me wrong.