1. Introduction: 33,088 (https://news.ycombinator.com/item?id=47689648)
2. Dynamics: 3,659 (https://news.ycombinator.com/item?id=47693678)
3. Culture: 5,914 (https://news.ycombinator.com/item?id=47703528)
4. Information Ecology: 777 (https://news.ycombinator.com/item?id=47718502)
5. Annoyances: 7,020 (https://news.ycombinator.com/item?id=47730981)
6. Psychological Hazards: 199 (https://news.ycombinator.com/item?id=47747936)
Feedback from early readers was that the work was too large to digest in a single reading, so I split it up into a series of posts. I'm not entirely sure this was the right call; the sections I thought were the most interesting seem to have gotten much less attention than the introductory preliminaries.
I had never heard of you, and this article appeared very biased to me. I found the information ecology piece superior, shame that it went unnoticed; I will try to go through all of them. I admire the breadth of topics you’re covering and appreciate the many sources. They’re clearly written in your own voice and that is great to see, I guess I mostly reacted to not being fully aligned with your view.
I suspect that if you'd not broken up the post into a series of smaller ones, the sorts of folks who are unwilling to read the whole thing as you post it section by section would have fed the entire post to an LLM to "summarize".
I still remember his takedown of mongodb's claims with the call me maybe post years and years ago filling me with a good bit of awe.
If ‘tptacek posts a blog post, I bet it similarly does well, on average, because they’re a “known quantity” around these parts, for example.
Also, if you think this is just “LLM is bad”, I highly suggest reading the series first. The social impacts they talked about at the start of the series should resonate with a lot of people here and are exactly the kind of thing which people building systems should talk about. If you’re selling LLMs, you still want to think about how what you’re building will affect the larger society you live in and the ways that could go wrong—even if we posit sociopath/MBA-levels of disregard for impacts on other people, you still want to think about how LLMs change the fraud and security landscape, how the tools you build can be misused, how all of this is likely to lead to regulatory changes.