Introducing Pangram Image 1.0
1 comments
- Points107
- Comments49
1 comments
Story details from Hacker News ↗ · linked article on pangram.com.
Introducing Pangram Image 1.0 was first seen on Hacker News · Front page on Nov 5, 2026. Since then it has appeared in 66 checks on 2 different days. Its best position was #16 of 30, reached on Nov 6, 08:22 UTC. It dropped off the list after Nov 6, 14:22 UTC.
Position on Hacker News · Front page at every check (lower is better).
Best rank per day (UTC).
Platform metric as reported by Hacker News.
A few top-level comments from Hacker News, shortened. Read the full thread on Hacker News.
An ill advised undertaking IMO: Any attempt to build AI generated content detection systems is flawed, since the outputs of such a system may be used to train an even better fake data generator. This leads to an equilibrium state of digital uncertainty: nothing in the digital realm can be deemed as real anymore -…
At least on gemini generated images vs real ones, it works surprisingly well. Taking a photo of an AI generated image on my grubby laptop screen with my phone, moire and all, still got detected. So the signal it's using is pretty robust.
From my test it works surprisingly well. I have a digital painting that is only posted very recently (therefore not in the training set). I asked GPT, Gemini and Riverflow to generate images in the same style, and use SD to add noises to remove SynthID. Pangram gave correct results for all of them (the original one…
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Not at the moment. It was last on the list on Nov 6, 14:22 UTC, after 2 days of trending.
#16 on Hacker News · Front page, on Nov 6, 08:22 UTC. Trendoday checks this list every 15 minutes.
It was first seen on Nov 5, 2026 and has been on the list on 2 days (66 checks) since.
107 points and 49 comments; submitted by gmays on Nov 5, 2026.