https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing#...
Signs? Those are normal ways of writing? What the hell? Is everything AI now?
And that's why everyone on the receiving end of the AI slop deluge is so paranoid.
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https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing#...
Signs? Those are normal ways of writing? What the hell? Is everything AI now?
And that's why everyone on the receiving end of the AI slop deluge is so paranoid.
I think that the current models are still like over-achieving savants rather than true human level because the largest model is only 1/10th the complexity of the human brain. I've recently become fairly convinced that new hardware paradigms (like types of CIM) are about to move from research into real-world development and scaling. So I believe within a few years, the model sizes will increase by another 10 times.
Compared to upcoming 100 trillion parameter models, humans will obviously be _much_ dumber/slower than AI in all fields. Already with the 10T models, some LLMs beat 99.9% of humans in competitive programming.
The AI hatred from many may actually continue to increase, but in cases where the bottom line matters, we are rapidly approaching the point where writing or work product that looks like it is human-authored will be suspect just on that basis. In other words, for some people it will be the reverse -- "this work looks like it was created by a human" could be devastating for your businesses credibility at that point.
I don't know if it was written that way to show trust in the reader's intelligence, show disregard for reaching a wide audience, show a demonstration of skill, or was artifact of someone just thinking at that level.
I like that these AI idioms exist. They're like watermarks for text. It's worth the cost of humans avoiding them. Companies will eventually train their models to be undetectable, but society would be better if they didn't.
I like that these AI idioms exist. They're like watermarks for text. It's worth the cost of humans avoiding them. Companies will eventually train their models to be undetectable, but society would be better if they didn't.
Except that the entire point of the article is that they're not AI idioms. They're not "watermarks for text." They're legitimate language constructions that LLMs tend to overuse, but that real humans also use . Real humans do, in fact, say "align with" all the time, just as often as "corresponds." And you can pry my em dashes from my cold, dead hands.
Now I'll have to find something else to overuse: maybe sentences structures around colons, or use of Japanese 「hook brackets」.
I like that these AI idioms exist. They're like watermarks for text. It's worth the cost of humans avoiding them. Companies will eventually train their models to be undetectable, but society would be better if they didn't.
> In the end, shaming people for writing that gets flagged as AI can lead people to sidestep structures the model has learned from us: structures that are effective tools for argumentation. We take the tools of critical thinking out of the kit at the time we most need them.
Earlier quoted context omitted.
Except that the entire point of the article is that they're not AI idioms. They're not "watermarks for text." They're legitimate language constructions that LLMs tend to overuse, but that real humans also use . Real humans do, in fact, say "align with" all the time, just as often as "corresponds." And you can pry my em dashes from my cold, dead hands.
The article is not God, just because it claims something doesn't mean we have to accept it. For better or worse (and pretty much for worse), these usages have become AI idioms. Language evolves over time, things that used to be harmless become offensive, certain terms end up taking on the complete opposite meaning than their original meaning, and we are watching certain language patterns and idioms become watermarks…
"We create a culture of self-censorship and AI-detector-pressured rewriting and paraphrasing as people strive to avoid these witch hunts. That is the opposite of protecting human expression. We should resist normalizing a trust in any machine's ability to determine matters of guilt. If using AI to write is, at its worst, an industrialization of the mind, then AI detection, at its worst, becomes a surveillance system for thought."
And, I'm sorry (I'm not), but I am not going to just roll over and shrug and say "welp, guess we all need to dumb our writing down to keep well-meaning idiots from screeching 'AI! AI! AI! WHOOP! WHOOP WHOOP WHOOP!' at us." That isn't the evolution of language. It's Idiocracy.
I agree, but it’s worth noting that that has been done since long before LLMs. Fifteen years ago, I used to teach a graduate course on academic writing pedagogy. The students and I would read research papers on the teaching of academic writing; we also analyzed textbooks and course syllabuses to get an idea about what was actually being done in classrooms. While phrases like “critical thinking” did come up, the overall focus was clearly on language patterns: sentence and paragraph structure, the use of transition words, vocabulary for hedging and boosting (i.e., making assertions seem weaker or stronger), etc.
In a university context, it can be very difficult to evaluate student writing based on its content. In humanities-focused and creative writing, what the student decides to say can be seen as an extension of the student’s personality, identity, and individual experience; if a teacher evaluates the content, including the reasoning, it can seem that the teacher is evaluating the student as a person. And if the students are in the sciences, especially at the graduate level, the writing teacher often won’t even understand what the students write because it is too technical. Teaching and evaluating language patterns, not content, is often the only option.