OpenAI competes with Google Shopping

Tuesday’s AI Report

• 1. 🛒 OpenAI competes with Google Shopping
• 2.  💹 Private stock tracker by PM Insights, click for deeper insights
• 3. 📱 Invest in Mode Mobile’s EarnPhone
• 4. 🏆 Alibaba challenges OpenAI and DeepSeek?
• 5. 🤖 Duolingo replacing humans with AI?
• 6. 🔏 Protect your info online with Incogni
• 7. ⚙️ Trending AI Tools
• 8. 🏗️ Practical AI Applications
• 9. 📑 Recommended Resources

Read Time: 5 minutes

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OpenAI competes with Google Shopping

🚨 Our Report 

OpenAI has updated its ChatGPT search feature to include a shopping feature that will make it "simpler and faster to find, compare, and buy products in ChatGPT." 

🔓 Key Points

• When a user asks a shopping-related query (eg. “Best espresso machines under $200”), ChatGPT will display product cards with images, prices, star ratings, and links to websites where they can buy the product.

• It’s initially being tested with fashion, beauty, home, and electronic goods, and OpenAI plans to integrate its ChatGPT memory feature to reference previous chats and provide more personalized shopping experiences. 

• Alongside this update, ChatGPT will now also display trending searches when a user starts typing a question (like Google’s autocomplete feature) and enable users to use WhatsApp to get answers from ChatGPT.

🔐 Relevance 

This new shopping feature is a direct challenge to Google’s shopping feature, which has been criticized for prioritizing the products that pay for ad space over the most relevant products available—diluting the quality of its recommendations—so it will be interesting to see how OpenAI’s shopping feature compares, as OpenAI has established that its shopping results are completely organic (they’re based on available third party data like reviews, pricing, product descriptions), and its product recommendations are not sponsored, meaning OpenAI will not receive any commission for the products it displays.

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🚨 Our Report

Chinese e-commerce and tech giant, Alibaba, has released a third-generation family of eight (open-source) AI reasoning models—named Qwen3—which it says matches, if not exceeds, the capabilities of some of the top models around, including DeepSeek’s R1 and OpenAI’s o1.

🔓 Key Points

• All Qwen3 models have hybrid reasoning, so users can toggle between “thinking” (which takes longer to respond, and is suitable for complex queries) and “non-thinking”, which is quicker, for everyday tasks.

• They all support 119 languages, and each model was trained on a dataset of nearly 36 trillion raw data points, including data from textbooks, “question-answer pairs,” code snippets, and AI-generated data.

• According to Alibaba, the largest model (Qwen3-235B-A22B) outperforms DeepSeek’s R1 and OpenAI’s o1 on key benchmarks, and other models matched or even exceeded in areas like coding and math.

🔐 Relevance

Despite efforts by the US to prevent the exportation of advanced AI chips to China—to slow progress and maintain its global leadership position in AI—the release of Alibaba’s Qwen3 and DeepSeek’s R1 (with R2 expected to arrive shortly) shows that Chinese tech firms are still progressing and achieving groundbreaking results, and reflects a trend for businesses to build their own AI tools, using open-source models, like Qwen3, vs using closed-models like those from OpenAI and Anthropic.

• Gamified language-learning platform, Duolingo, is planning to become “AI-first” by not hiring contractors who do the “work that AI can handle,” and prioritizing future job candidates who have experience using AI.

• This was revealed in a company-wide email, and co-founder and CEO—Luis von Ahn— was quick to reassure his staff that “Duolingo will remain a company that cares deeply about its employees.”

• He said the new strategy “isn’t about replacing Duos with AI” but about removing bottlenecks so employees can “focus on creative work and real challenges” to help the start-up get closer to its mission.

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