ChatGPT Adds Shopping Feature and Alibaba Unveils Qwen3 Model Series
OpenAI announced new shopping capabilities for ChatGPT, improving product recommendation, visual presentation, and direct purchase links, while Alibaba released the Qwen3 series of large and MoE language models with detailed parameter counts and benchmark performance, highlighting rapid advancements in consumer‑focused AI applications.
OpenAI has rolled out a shopping feature in ChatGPT that simplifies product search, comparison, and purchase, offering optimized recommendations, visual product details, real‑time pricing, user reviews, and direct purchase links, with the update being deployed to all users worldwide.
The update also includes enhanced citation functionality, allowing multiple sources per answer, highlighted excerpts, improved search UI with trending topics and auto‑completion, and WhatsApp integration for instant information retrieval.
Alibaba announced the release of the Qwen3 model series, open‑sourcing two MoE models: Qwen3‑235B‑A22B (over 235 billion total parameters, 220 billion activation parameters) and Qwen3‑30B‑A3B (approximately 30 billion total parameters, 3 billion activation parameters).
In addition, six dense models—Qwen3‑32B, Qwen3‑14B, Qwen3‑8B, Qwen3‑4B, Qwen3‑1.7B, and Qwen3‑0.6B—are released under the Apache 2.0 license, and the flagship Qwen3‑235B‑A22B demonstrates competitive performance against top models such as DeepSeek‑R1, o1, o3‑mini, Grok‑3, and Gemini‑2.5‑Pro on code, math, and general benchmarks.
Smaller MoE model Qwen3‑30B‑A3B achieves activation parameters only 10% of Qwen‑32B while outperforming it, and even the Qwen3‑4B model rivals the performance of Qwen2.5‑72B‑Instruct.
Both updates illustrate a rapid push toward more consumer‑oriented AI capabilities and the continued evolution of large language models.
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