Max Spero @max.pangram.com · 26/09/2026I consider games I played in my teens and early 20s as more formative than my childhood games (Zoo Tycoon, RuneScape, Neopets etc.). And somehow I have probably sunk as many lifetime hours into League of Legends as the rest of this list combined. 130
Max Spero @max.pangram.com · 13/08/2026Good question! Our technical report specifically looks into ESL, demonstrating no elevated false positive rate across any English language learner benchmarks 142
Max Spero @max.pangram.com · 06/06/2026Comments are off so I have to quote, but Pangram says that ~50% of segments have signs of AI. I highly doubt this is a false positive. @masnick.com can you confirm no AI use, or do you believe the indicated degree of AI use should be lower? www.pangram.com/history/17a3... 2160
Max Spero @max.pangram.com · 19/05/2026We just published a guest blog post from Joe Stech @thinkweirder.com: The Information Theory Behind Why AI Writing Sucks. Check it out! pangram.com/blog/joe-ste... 052
Max Spero @max.pangram.com · 22/04/2026I'm actually not sure why you don't see a confidence measure in your screenshot. When I check the same text I see "Confidence Low" Will look into this 110
Max Spero @max.pangram.com · 22/04/2026it's worth noting that the u chicago paper found no false positives at our actual threshold of 0.5, but used their own, lower threshold for the paper that maximized their own FPR/FNR tradeoff (Pangram treats a false positive as 10x as bad as a false negative when finding thresholds) 100
Max Spero @max.pangram.com · 22/04/2026is this an actual false positive? because I've seen people do something like this just to troll 100
Max Spero @max.pangram.com · 04/02/2026Allow me to introduce cases where human intelligence is not fixed 160
Max Spero @max.pangram.com · 31/01/2026Pretty cool project on /r/localllama - they take human written text and sloppify it 10x with 4o-mini, then train the model to de-slop by reversing the transformation 215714
Max Spero @max.pangram.com · 30/01/2026There are only two hard problems in computer science: building artificial superintelligence, and naming things 2665
