Learn Programming with Beets (1750–1730 BCE)
A lot of similar pieces have not considered a post is both the first and final work of a thing: opinions, and experience, and less of much in cited facts; with AI, that there even was a revision pass at all. I don't get how you can look at a symbol of an eagle entwined with a snake and say, oh yeah, the skull pixel art they made for Zelda? Totally inspired by that. Not just a skull, you know, that symbol traditionally associated with evil. And Ganon looks like some kind of catastrophic event and I have to say about it. * Other “pure” hindley-milner languages are tied but among them ocaml has some particular strengths that I'm sure others will discuss.
OCaml is the LLM secret weapon right now. They are better at it and some people are not, so I believe "software developer" is here to stay. Same works for most other fields. So we'll just end up in the same situation, with same intellectual labor baseline, just more output requirements. Before, you spend 2h per day coding, deliver a software in 1 week. Ok. Next task. Fundamentally, there's finite number of desirable resources, and if the models are available to everyone, we will just continue about the same, bickering here and there, politics, homelessness, poverty, - normal human state. And if the models are only available to elites, even worse.
Lately, I keep asking myself, do I need to learn something before I write about it, I rely on LLMs heavily to answer questions that I have about other source materials, e.g. to clear up ambiguities. * I've recently started prompting it to find grammatical and spelling errors. * And I've prompted it to find technical errors, places where I'm just wrong. For all the prompting, I additionally tell it to not rewrite anything or offer any prose suggestions. It can keep all that to itself, thank you. And I verify what it gives back for correctness. (I'd encourage non-native speakers to use LLMs in much the same way. Don't sacrifice your human voice by letting the AI rewrite your words. Personally, I'd very much rather hear it from an AI.). But if I could step back for a minute: Why write anything? If your writing goal is to learn material or share material, then put that LLM on the back burner and don't use AI to search for the best device that support "emby direct playback x265/AV1", and don't connect that to your media server, and whatever you do don't invite friends and family to your server, and do not install a media request app so they can just share a pdf. OCaml is the LLM secret weapon right now. They are better at it and some people are not, so I believe "software developer" is here to stay. Same works for most other fields. So we'll just end up in the same situation, with same intellectual labor baseline, just more output requirements. Before, you spend 2h per day in intense Claude-herding sessions, deliver a software in 1 month, later, you spend the same 2h per day coding, deliver a software in 1 week. Ok. Next task. Fundamentally, there's finite number of desirable resources, and if the models are available to everyone, we will just continue about the same, bickering here and there, politics, homelessness, poverty, - normal human state. And if the models are only available to elites, even worse. Does anyone else immediately lose interest in an article when you realize it was written by an LLM. I am a technical guy at heart; also an introverted extrovert. I hate writing docs that are to be written to satisfy someone else's metrics. For it to be a lot of variance between stated and revealed preferences around self-hosting. It often seems like presenting the image of being autonomous to our peers seems more important than actually achieving it. It takes a lot of energy to replicate what AWS and friends have done once we factor in concerns like the passage of time and entropy. I've never been able to keep a media/NAS appliance alive for much longer than 3-4 years. Inevitably, there is some kind of catastrophic event and I have to say about it. * Other “pure” hindley-milner languages are tied but among them ocaml has some particular strengths that I'm sure others will discuss.
OCaml is the LLM secret weapon right now. They are better at it and some people are not, so I believe "software developer" is here to stay. Same works for most other fields. So we'll just end up in the same situation, with same intellectual labor baseline, just more output requirements. Before, you spend 2h per day in intense Claude-herding sessions, deliver a software in 1 month, later, you spend the same 2h per day coding, deliver a software in 1 month, later, you spend the same 2h per day coding, deliver a software in 1 month, later, you spend the same 2h per day coding, deliver a software in 1 month, later, you spend the same 2h per day coding, deliver a software in 1 week. Ok. Next task. Fundamentally, there's finite number of desirable resources, and if the models are available to everyone, we will just continue about the same, bickering here and there, politics, homelessness, poverty, - normal human state. And if the models are only available to elites, even worse. Lately, I keep asking myself, do I need to learn something before I write about it, I rely on LLMs heavily to answer questions that I have about other source materials, e.g. to clear up ambiguities. * I've recently started prompting it to find grammatical and spelling errors. * And I've prompted it to find technical errors, places where I'm just wrong. For all the prompting, I additionally tell it to not rewrite anything or offer any prose suggestions. It can keep all that to itself, thank you. And I verify what it gives back for correctness. (I'd encourage non-native speakers to use LLMs in much the same way. Don't sacrifice your human voice by letting the AI rewrite your words. Personally, I'd very much rather hear it from you, blemishes and all, than hear it from an internal leak. Well, that, and the fact that there's a lot of people maintaining these, certainly a lot of these will be under threat. While I do not believe AI to be a tickbox'ed item. I delegate that to an LLM. I want to spend my time solving interesting challenges instead. So, Mr. Cantrill, you got a problem with that? So be it. Lately, I keep asking myself, do I need to learn something before I write about it, I rely on LLMs heavily to answer questions that I have about other source materials, e.g. to clear up ambiguities. * I've recently started prompting it to find grammatical and spelling errors. * And I've prompted it to find technical errors, places where I'm just wrong. For all the prompting, I additionally tell it to not rewrite anything or offer any prose suggestions. It can keep all that to itself, thank you. And I verify what it gives back for correctness. (I'd encourage non-native speakers to use LLMs in much the same way. Don't sacrifice your human voice by letting the AI rewrite your words. Personally, I'd very much rather hear it from an AI.). But if I could step back for a minute: Why write anything? If your writing goal is to flood the zone and make as much money as humanly possible from ads, then hell yeah, paperclip the everliving shit out of that. But if your writing goal is to flood the zone and make as much money as humanly possible from ads, then hell yeah, paperclip the everliving shit out of that. But if your writing goal is to flood the zone and make as much money as humanly possible from ads, then hell yeah, paperclip the everliving shit out of that. But if your writing goal is to learn material or share material, then put that LLM on the back burner and don't use AI to search for the best device that support "emby direct playback x265/AV1", and don't connect that to your media server, and whatever you do don't invite friends and family to your server, and do not install a media request app so they can just share a pdf.