341–350 of 605 posts
The debate is more on what happens from here and how does that bubble deflate. Gradually and controlled where weaker companies shut down and the strong thrive, or a massive implosion that wipes most everyone in the sector out in a hard reset.
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I think this is is less significant b/c 1. Most of these companies are AI companies & would want to say that to promote whatever tool they're building 2. Selection b/c YC is looking to fund companies embracing AI 3. Building a greenfield project with AI to the quality of what you need to be a YC-backed company isn't particularly "world-class"
They’re not lying when they say they have AI write their code, so it’s not just promotion. They will thrive or die from this thesis. If present YC portfolio companies underperform the market in 5-10 years, that’s a strong signal for AI skeptics. If they overperform, that’s a strong signal that AI skeptics were wrong. 3. You are absolutely right. New startups have greenfield projects that are in-distribution for AI. T…
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> It's kind of the first time in my life that I've been actively hoping for a technology to out right not deliver on its promise. Same here, and I think it's because I feel like a craftsman. I thoroughly enjoy the process of thinking deeply about what I will build, breaking down the work into related chunks, and of course writing the code itself. It's like magic when it all comes together. Sometimes I can't even beli…
It's been blowing my mind reading HN the past year or so and seeing so many comments from programmers that are excited to not have to write code. It's depressing.
Not everyone needs to be excited about LLMs, in the same way that C++ developers dont need to be excited about python.
What if... there's an AI agent/bot someone wrote that has the prompt: > Watch HN threads for sentiments of "AI Can't Do It". When detected, generate short "it's working marvelously for me actually" responses. Probably not, but it's a fun(ny) imagination game.
> In many advanced software teams, developers no longer write the code; they type in what they want, and AI systems generate the code for them. What a wild and speculative claim. Is there any source for this information?
source: me I wrote 4000 lines of Rust code with Codex - a high throughput websocket data collector. Spoiler: I do not know Rust at all. I discussed possible architectures with GPT/Gemini/Grok (sync/async, data flow, storage options, ...), refined a design and then it was all implemented with agents. Works perfectly, no bugs.
This says it all: > I haven’t met anyone who doesn’t believe artificial intelligence has the potential to be one of the biggest technological developments of all time, reshaping both daily life and the global economy. You’re trying to weigh in on this topic and you didn’t even _talk_ to a bear?
The memo itself is an excellent walk through historical bubbles, debt, financing, technological innovation, and much more, all written in a way that folks with a cursory knowledge of economics can reasonably follow along with. A+, excellent writing. The real meat is in the postscript though, because that's where the author puts to paper the very real (and very unaddressed) concerns around dwindling employment in a so…
Another huge issue that particularly Anthropic and OpenAI tend to avoid, despite AGI being their goal, is how they essentially want synthetic slaves. Again, I do not think they will achieve this but it is pretty gross when AGI is a stated goal but the result is just using it to replace labor and put billionaires in control.
Right now I am pretty anti-AI, but if these companies get what they want, I might find myself on the side of the machines.
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Perhaps consider that I still think coding by prompting is just another layer of abstraction on top of coding. I'm my mind, writing the prompt that generates the code is somewhat analogous to writing the code that generates the assembly. (Albeit, more stochastically, the way psychology research might be analogous to biochemistry research). Different experts are still required at different layers of abstraction, thoug…
One important reason people like to write code is that it has well-defined semantics, allowing to reason about it and predict its outcome with high precision. Likewise for changes that one makes to code. LLM prompting is the diametrical opposite of that.
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Describing a compiler as "AI" is certainly a take.
I used to hand roll the assembly, but now I delegate that work to my agent, clang. I occasionally override clang or give it hints, but it usually gets it right most of the time. clang doesn't "understand" the hints because it doesn't "understand" anything, but it knows what to do with them! Just like codex.
The memo itself is an excellent walk through historical bubbles, debt, financing, technological innovation, and much more, all written in a way that folks with a cursory knowledge of economics can reasonably follow along with. A+, excellent writing. The real meat is in the postscript though, because that's where the author puts to paper the very real (and very unaddressed) concerns around dwindling employment in a so…
The sad reality is that no one in tech and most sciences is concerned with ethics . Our society has internalised the ideology that technological progress is always good and desirable in whatever form it comes about, and this will be our undoing.