GPT-4o

Headlines · 3

1. 11h
   Why ChatGPT titles sometimes contain spam fragments

   A 36Kr analysis examines reports that ChatGPT conversation titles sometimes append gambling, adult-advertising fragments, foreign words, or other malformed text. Drawing on user reports and an EMNLP paper about Chinese training-data pollution in OpenAI’s o200k_base tokenizer vocabulary, it hypothesizes that a title-generation model sometimes fails to stop and then emits poorly understood tokens; OpenAI has reportedly acknowledged the issue but has not publicly explained its root cause.

   36氪 人工智能 · 🔥 11
2. 3d
   Why AI Image Generators Keep Defaulting to Beautiful Women

   An analysis argues that AI image generators repeatedly produce attractive women because model outputs reflect training-data distributions, human preferences for average faces, and user engagement patterns. It connects the phenomenon to the viral synthetic baseball spectator, the historical use of Lena Soderberg’s image in image-processing research, Lensa’s sexualized outputs, and permissive features such as Grok’s “Spicy” mode.

   虎嗅 AI · 🔥 0
3. 3d
   Qwen3.8 27B sums big numbers in words, hitting 167/169 with reasoning on

   Simon Willison re-ran an experiment Colin Frasier first tried two years ago with GPT-4o: have a model compute large sums but return the answer in words. He ran it on local hardware (a DGX Spark), using a Codex Remote session (GPT-6 Astra) to write and execute the test with Qwen3.8-27B-Q4_K_M.gguf. With reasoning disabled he sampled 30 attempts per cell; with reasoning enabled each run took so long that he used one sample per pair, and the model got 167 of 169 attempts right.

   Simon Willison's Weblog · 🔥 0

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