I recently tried Pangram, created an account, wrote a few lines about how my day went, and it was flagged as likely AI-assisted. It clearly doesn't work.
It's especially bad that they keep insisting that it works very well, because thousands of people will probably end up falsely accused of AI usage as a result.
Can you share your experiment, so that we can draw our own conclusions? I've been paying for Pangram for a long time and have not seen it misbehave even once. I've seen many people attack it, but when I looked more closely, their claims often evidently boiled down to "I want plausible deniability for my own use of LLMs" - i.e., they were clearly posting AI-generated content on social media and just didn't like the possibility of being called out.
I'm not saying that's you, but since a proof is easy to produce, it would be nice if you could share.
I think most native English speakers are doing well. The one who will face issues are non native ones. I knew English as my third language since about 10 years but I've only truly become somewhat proficient in it in the past 5 or so years, thus it was heavily influenced by LLMs. So who's at fault for this? Me, for speaking like an LLM simply due to my circumstances? Am I now supposed to learn "human" english?
I'm asking the parent about their claim. I already have an opinion about the parent post, in which the author is claiming to have not used an LLM to author a 2025 essay that's illustrated with completely unnecessary AI art. Although one doesn't imply the other, let's say that this diminishes my willingness to believe that claim at face value.
> If I want to induce a false positive in TSA's airport scanner, I can put a gun-shaped object in my bag. If I want to induce a false positive in Waymo's stop sign detection system, I can paint my own sign and put it up on a pole.
Holy strawman-batman, not only does the founder of Pangram not have a proper response to the actual criticisms, he feels the need to completely make up very different situations to try to illustrate some completely different point... I guess good job of the founder to engage at all, as deBoer does bring up a lot of valid points and criticisms of why people really shouldn't rely on "tools" like Pangram, too bad the founder failed completely at addressing the more serious points, and instead just chose to say "Well, there will be false-positives, what can you do?".
Indeed, that’s not about false positives predominantly. At least for me the key concern is if it’s giving a percentage when it looks like it calculates a Boolean and therefore implies more nuanced analysis than it does. Which explains the nesting behaviour too.
Adding another anecdote, but Pangram flagged an essay I wrote last week as AI-assisted when it wasn't. I take Pangram results with a grain of salt now.
It's especially bad that they keep insisting that it works very well, because thousands of people will probably end up falsely accused of AI usage as a result.
I'm not saying that's you, but since a proof is easy to produce, it would be nice if you could share.
> I'm Kenyan. I Don't Write Like ChatGPT. ChatGPT Writes Like Me.
> https://marcusolang.substack.com/p/im-kenyan-i-dont-write-li...
HN discussion:
> https://news.ycombinator.com/item?id=46273466
Holy strawman-batman, not only does the founder of Pangram not have a proper response to the actual criticisms, he feels the need to completely make up very different situations to try to illustrate some completely different point... I guess good job of the founder to engage at all, as deBoer does bring up a lot of valid points and criticisms of why people really shouldn't rely on "tools" like Pangram, too bad the founder failed completely at addressing the more serious points, and instead just chose to say "Well, there will be false-positives, what can you do?".