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Joined 2 years ago
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Cake day: July 14th, 2023

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  • Please, enlighten me - how do you propose we use the term “AI” in a way that’s more useful than a definition that includes machine learning, large language models, and computer vision?

    I doubt I’ll agree with your definition, but I’m curious to see how you would exclude machine learning, computer vision, LLMs, etc., from your definition. My assumption is that your definition is going to be either a derivative of “AI is anything computers can’t do yet” or based on pop culture / sci fi, but maybe you’ll surprise me.

    To be clear, I’m a software engineer; I’m not speaking in sales speak. I’ve derived my understanding of the term from a combination of its historical context and how it’s used in both professional and academic contexts, not from marketing propaganda or from sci fi and pop culture. I’m certainly aware of the hype machine that’s ongoing, but there are also tons of fascinating advancements happening on a regular basis, and the term “AI” is at minimum a useful term to refer to technologies that leverage similar techniques.


  • I think of the Bambu P1S as the inexpensive alternative to the Bambu X1C or a comparable printer from Prusa, at least in terms of print consistency and ease of use.

    My Bambu was my fourth 3D printer (second FDM printer) and it took 3D printing from a frustrating, time consuming hobby to just a thing I do to enable other hobbies. I don’t have to spend time tweaking settings to get a decent print, because the default settings are already good enough. Instead, I can focus on designing models or working with finished prints.


  • it’s not ‘ai’, it’s just a poorly trained voice recognition system that’s trying to decipher any random person’s voice.

    I’m baffled that you can say “It’s not ‘AI,’ it’s a machine learning powered speech to text system” with a straight face.

    Even if we were to agree that ML-powered speech to text isn’t AI (and I don’t agree to that premise, for the record), there’s still the matter of processing the transcription to transform it into something that can be understood by the point of sale system - aka natural language processing. And while that NLP could be implemented without use of an LLM, given LLM’s current level of hype and the ease with which they can be shoved into any given product, I wouldn’t bet on Taco Bell execs approving such an approach, much less asking for it.


  • I’ll have to check out both OpenSCAD and Code Comic. Some completely non-CAD DSLs that you might be interested in, since you mentioned GraphViz:

    Mermaid.js does something very similar to Graphviz. There are a couple other similar tools like that out there, but Mermaid is supported in a lot of places natively or as an easy to use plugin, like GitHub Markdown (and other git forges like Forgejo), Hedgedoc, Obsidian, SilverBullet, etc…

    I’d also argue that LaTeX counts, and to a lesser extent, Markdown - compare using them to using Word.

    And reveal.js is an equivalent for slide deck creation that would normally be done with PowerPoint.