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The most straightforward way to measure the pace of AI progress is by attaching a speedometer to the goalposts.


Oh, that's a good one. And it's true. There seems to be a massive inability for most people to admit the building impact of modern AI development on society.


Oh, we do admit impact and even have a name for it: AI slop. (Speaking on LLMs now since AI is a broad term and it has many extremely useful applications in various areas)


AI slop is soon to be "AI output that no one wanted to take credit for".


They certainly seem to have moved from "it is literally skynet" and "FSD is just around the corner" in 2016 to "look how well it paces my first lady Trump/Musk slashfic" in 2025. Truly world changing.


I've asked claude to explain what you meant... https://claude.ai/share/391160c5-d74d-47e9-a963-0c19a9c7489a


I’m not source outsourcing even the comprehension of HN comments to an LLM is going to work out well for your mind


I’m not sure lacking comprehension of a comment and choosing to ignore that lack is better. Or worse: asking everyone to manually explain every reference they make. The LLM seems a good choice when comprehension is lacking.


This is so on-point. Many things that we now take for granted from LLMs would have been considered sufficient evidence for AGI not all that long ago. Likely the only test of AGI is whether we can still come up with new goalpost.


Haha, so that's the first derivative of goalpost position. You could take the derivative of that to see if the rate of change is speeding up or slowing.


I love this comment.




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