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

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  • Only if you have a sign posted, reading “All ye who enter here forfeit thine selves – body, mind, spirit, and soul – to the owner of these lands, until such time as ye leave or are slain,” with the sign carved from stone by hand, with a willowbark dagger, blessed under the light of a blood moon, approximately eight feet tall, flanked by two shrubberies – that look nice and are not too expensive – and visible to all who enter, lit eternal by the captured light of the new moon.





  • 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.


  • 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’m a professional software engineer and I’ve been in the industry since before Kubernetes was first released, and I still found it overwhelming when I had to use it professionally.

    I also can’t think of an instance when someone self-hosting would need it. Why did you end up looking into it?

    I use Docker Compose for dozens of applications that range in complexity from “just run this service, expose it via my reverse proxy, and add my authentication middleware” to “in this stack, run this service with my custom configuration, a custom service I wrote myself or forked, and another service that I wrote a Dockerfile for; make this service accessible to this other service, but not to the reverse proxy; expose these endpoints to the auth middleware and for these endpoints, allow bypassing of the auth middleware if an API key is supplied.” And I could do much more complicated things with Docker if I needed to, so even for self-hosters with more complex use cases than mine, I question whether Kubernetes is the right fit.