251–260 of 656 posts
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I see. Computer Science is not an engineering degree and it is not about programming. That's what Software Engineering degrees are for.
Software engineers graduates I've met are usually much worse at programming than computer science graduates.
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>the medium is the message If you asked 100 Americans what this aphorism means, I strongly doubt a single one could capture McLuhan's original meaning.
You're right. ive struggled to understand what exactly this means, in large part perhaps it's so often misused? I think it means something like we're trapped in the constraints of the medium. Tweets say more about the environment of twitter than whatever message happened to be sent. but i think im off on that, ill look this person up and find out!
Firstly, Twitter has an upper bound on the complexity of thoughts it can carry due to its character limit (historically 180, now somewhat longer but still too short).
Secondly, a biased or partial platform constrains and filters the messages that are allowed to be carried on it. This was Chomsky's basic observation in Manufacturing Consent where he discussed his propaganda model and the four "filters" in front of the mass media.
Finally, social media has turned "show business [into] an ordinary daily way of survival. It's called role-playing." [0] The content and messages disseminated by online personas and influencers are not authentic; they do not even originate from a real person, but a "hyperreal" identity (to take language from Baudrillard) [0]:
You are just an image on the air. When you don't have a physical body, you're a
_discarnate being_ [...] and this has been one of the big effects of the electric age. It
has deprived people of their public identity.
If nothing else, one should at least recognize that people primarily identify through audiovisual media now, when historically due to lack of bandwidth, lack of computing and technology, etc. it was far more common for one to represent themselves through literate media - even as recently as IRC. You can come to your own conclusions on the relative merits and differences between textual vs. audiovisual media, I will not waffle on about this at length here.
The medium itself is reshaping the ways people represent, think about, and negotiate their own self-concept and identity. This is beyond whatever banal tweets (messages) about what McSandwich™ your favourite influencer ate for lunch, and it's this phenomena that is important and worth examining - not the sandwich.
[0] Marshall McLuhan in Conversation with Mike McManus, 1977. https://www.tvo.org/transcript/155847
The eloquence with which this point gets (repeatedly) made is continuing to improve each next time I read it. However, I still feel like we haven't nailed it. That is, we are not yet at the "aphorism" stage of the discourse (e.g. "the medium is the message", "you ship your org chart", "9 mothers can't make a baby in a month"), in which the most pointed version of this critique packs a punch in just a few words that r…
Meaning is abstract. We can't express meaning: we can only signify it. An expression (sign) may contain the latent structure of meaning (the writer's intention), but that structure can only be felt through a relevant interpretation. To maintain relevance, we must find common ground. There is no true objectivity, because every sign must be built up from an arbitrary ground. At the very least, there will be a conflict…
There are plenty of engineers, who simply can't think, AI will not change anything in this regard.
No, AI is not creating that group of people. They already existed. They were the people who would google for StackOverflow snippets and copy+paste them without even reading the entire snippet, much less understand them. Same people, new tool.
I am rebuilding numba. It is very hard for me to imagine doing it by hand. I tried it a couple of years ago but it was excruitiangly painful. It was slow and messy. So many small things that gets stacked on top of each other over years of abstraction. I am doing it again using LLM. Legitimately, things that would have taken weeks is now done overnight. I still have to look at the code, at the generated C output, stil…
I have found myself going out and actually reading code less and less over the past year. I would be lying if I said that there are not fairly regular moments where I question the comfort level I have obtained with the system that I have built. I've seen it work with such a high accuracy and success rate so many times that my instinct at this point is to not question it. I keep waiting for this to really bite me in the ass somehow, but it just keeps not happening. Sure, there have been minor issues that have slipped through the cracks that caused me to backtrack, but that is nothing new. The difference is that with the previous way, I had painstakingly written that code and had a much more personal relationship with it. The code was the problem. Now whenever that does happen, I'm going back to the system and figuring out why it didn't get the answer right on its own, or why it didn't surface the whole thing in the plan to me prior to implementation.
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any human can read the code an AI produces.
Nope, not anymore. Many already forgot how to do that and it's not a joke. And putting aside the vanishing skill, there is also an issue of volume.
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AI coding isn’t an abstraction, though. You can’t treat a prompt like source code because it will give you a different output every time you use it. An abstraction lets you offload cognitive capacity while retaining knowledge of “what you are doing”. With AI coding either you need to carefully review outputs and you aren’t saving any cognitive capacity, or you aren’t looking at the outputs and don’t know what you’re…
"You can’t treat a prompt like source code because it will give you a different output every time you use it" But it seems we are heading there. For simple stuff, if I made a very clear spec - I can be almost sure, that every time I give that prompt to a AI, it will work without error, using the same algorithms. So quality of prompt is more valuable, than the generated code So either way, this is what I focus my thin…
That "almost" is doing a lot of heavy lifting here. This is just "make no mistakes" "you're holding it wrong" magical thinking.
In every project, there is always a gap between what you think you want and what you actually need. Part of the build process is working that out. You can't write better specs to solve this, because you don't know what it is yet.
On top of that, you introduce a _second_ gap of pulling a lever and seeing if you get a sip of juice or an electric shock lol. You can't really spec your way out of that one, either, because you're using a non-deterministic process.
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It's staggering to me how many times I've heard this argument that LLMs are just the next level of abstraction. Some people are even comparing them to compilers.
> Some people are even comparing them to compilers. A lot of people are using them as such too: the amount of people talking about "my fleets of agents working on 4 different projects": they aren't reviewing that output. They say they are, but they aren't, anymore than I review the LLVM IR. It makes me feel like I'm in some fantasy land: I watch Opus 4.7 get things consistently backwards at the margins, mess up, make…
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No idea why you were dv'd. It still takes roughly nine months to make a human baby, regardless of how many women or babies are involved!
You're assuming all women in your cohort start not pregnant. However, given a random sampling of women across the entire human race, if you have approximately 14,000 women, statistics says you'll have a baby in a month. That is to say, the chances of one of those woman being 8 months pregnant reaches close enough to 1, given about 14,000 randomly selected women. Also, you can get a baby tonight if you steal one from…