Image created with OpenAI GPT-Image-1. Image prompt: 1966 Kodachrome photo-look, thin white frame, forest-green title band in upper left with stacked yellow/white serif text reading “ALIBABA”, rear view of reddish-brown goat rearing on fence scene featuring a red Alibaba-logo shipping crate beside the pen; gentle film grain, overcast daylight
🚨 Alibaba, Tencent disable AI features during China’s gaokao exam AI features like image recognition in their chatbots (e.g., Qwen, Yuanbao, Kimi). Purpose: to prevent cheating via AI. → The move comes as China sees 13.4 million students sitting the exam this year. It’s a https://x.com/rohanpaul_ai/status/1932023557250515237
Chinese tech firms freeze AI tools in crackdown on exam cheats | China | The Guardian https://www.theguardian.com/world/2025/jun/09/chinese-tech-firms-freeze-ai-tools-exam-cheats-universities-gaokao
Apple doesn’t report benchmarks for their AIs, reporting on an ill-documented head-to-head evaluation But even by their standards, Apple’s latest on device models are mostly worse than the open Gemma 3-4B from Google or Qwen 3-4B And their server LLM is similar to Llama 4 Scout https://x.com/emollick/status/1932420903515590997
Wow, end-to-end omni model from Ant Group: Ming Lite Omni – can hear, speak, and generate images – competitive to GPT4o 🔥 Some notes on the paper and the release: > GUI tasks: +9% accuracy over Qwen2.5VL-7B on AITZ(EM) > Audio understanding: 6/13 SOTA results on public https://x.com/reach_vb/status/1933458455794229317
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models | Qwen https://qwenlm.github.io/blog/qwen3-embedding/
So many models released past week in open AI, here’s the weekly picks 🥹 let’s gooo 📚 LLMs/Retrieval > @Alibaba_Qwen released Qwen3-Reranker-4B, a text retriever that it supports 100+ languages ranking #1 on MTEB > ..and Qwen3-Embedding models, new embeddings that come In 600M, https://x.com/mervenoyann/status/1933101803274477600
