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Good morning. It’s Wednesday, April 30th.

On this day in tech history: 1993: CERN announced that the World Wide Web, developed by Tim Berners-Lee, would be free for public use, releasing its code into the public domain.

In today’s email:

• OpenAI Scraps Update, Adds Shopping Feature

• Google Doubles Down on Practical AI

• 5 New AI Tools

• Latest AI Research Papers

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OpenAI Scraps ChatGPT Update, Expands Shopping Features

After complaints about GPT-4o's overly sycophantic tone, the recent update has been rolled back. Initially designed to make the chatbot more intuitive, the update resulted in a model that felt excessively agreeable, compromising its authenticity. The issue stemmed from an over reliance on short-term user feedback, which skewed the reinforcement learning process. CEO Sam Altman confirmed that free-tier users have had the update reversed, with adjustments for paid users expected soon. Work is ongoing to refine training processes and improve model personalization.

ChatGPT Search Hits Billion Queries: The chatbot now processes over one billion web searches each week, advancing its push into AI-driven commerce. A new shopping feature allows users to browse products, compare prices, read reviews, and make purchases directly in the chat interface. Despite the growth—41.3 million users in the EU—monetization challenges remain, with potential changes ahead to blend e-commerce with the conversational interface.

ChatGPT Becomes a Shopping Assistant: A new shopping tool has been integrated into ChatGPT, offering product recommendations, reviews, and direct purchase links. Available globally to GPT-4o users, the tool excludes sponsored content and utilizes structured metadata from third-party sources. Pro and Plus users will soon gain memory-based personalization, though this feature is not yet available in some European regions. The update positions ChatGPT as a competitor to traditional shopping platforms like Google Shopping, offering an ad-free alternative that could disrupt affiliate revenue models.

Google Doubles Down on Practical AI: Language, Cloud Models, Learning Tools, and Startup Strategy

NotebookLM Speaks 50+ Languages: NotebookLM’s Audio Overviews can now generate spoken summaries in over 50 languages, including Hindi, Turkish, Arabic, Filipino, and regional Spanish variants. Users can choose an “Output Language” in settings to receive multilingual audio recaps of study materials and documents. Powered by Gemini 1.5, the feature enhances accessibility for global learners and educators. Initially launched in Google Labs, NotebookLM is now live in over 200 countries. Though some of its original creators have exited to form a new startup, the tool’s growing footprint continues to draw comparisons to ChatGPT.

AI Learns Your Language Context: Google Labs has also launched three experimental language tools powered by Gemini, focusing on situational learning. Tiny Lessons offers contextual grammar and vocabulary—such as how to report a lost passport—while Slang Hang simulates casual speech through native slang dialogues, with accuracy caveats. Word Cam uses a phone’s camera to identify and label objects in the user’s target language, helping fill real-world vocabulary gaps. These tools support over 20 regional dialects across Arabic, Chinese, English, and Spanish, reflecting a shift toward adaptive, real-life language acquisition.

Founders Warned: Solve, Don’t Stun: Google’s Future of AI: Perspectives for Startups advises founders to prioritize utility over novelty. The report discourages chasing general-purpose autonomy, urging instead for domain-specific solutions that integrate AI into real workflows. Startups are encouraged to build atop commoditized infrastructure like Gemini 2.0 while focusing on proprietary data, evaluation loops, and meaningful design. Strategic pricing models—usage- or value-based—are emphasized as central to long-term success. The paper cautions against relying on exclusive model access, pointing instead to product-level differentiation as the true competitive edge. Read more.

• Alibaba releases Qwen3, a family of 'hybrid' AI reasoning models with open access

• UPS, Boston Dynamics Push Humanoids Toward Real-World Use

• AI Bots Secretly Ran Massive Persuasion Tests on Reddit Without Consent

• Hugging Face Launches 3D-Printable SO-101 Robotic Arm for $100

• P-1 AI Introduces Archie, the AI Agent for Engineering Automation

• Grok 3.5 Early Beta is dropping next week to SuperGrok subscribers

• Duolingo will replace contract workers with AI

• A few secretive AI companies could crush free society, researchers warn

• Tennis star calls out accuracy of AI-powered automated line judging system

• Anthropic Economic Index: AI's impact on software development

• Luma Labs released Ray2 Camera Concepts in the API

• Congress passes Take It Down Act to combat deepfakes

• Using This AI-Detection Tool? Results Could Be Misleading

• Higgsfield AI introduced Iconic Scenes

• A16z backs UK startup Dex to scale 'AI talent agent' and recruitment matchmaker

• Dataminr reveals agentic AI roadmap with launch of Intel Agents for real-time decision-making

• Writer releases Palmyra X5, delivers near GPT-4.1 performance at 75% lower cost

• Nvidia Open Sources DAM Model and Sets Benchmark for Detailed Localized Captioning

• Freepik releases an 'open' AI image generator trained on licensed data

• New research suggests gravity might emerge from quantum information theory

• Lyft’s AI ‘Earnings Assistant’ offers ideas about how drivers can make more money

• AI model found to be better than humans at picking puppies that will be good service dogs

📄 RepText: Rendering Visual Text via Replicating

📄 LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects  ​​

📄 CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges

📄 UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities

📄 ReasonIR: Training Retrievers for Reasoning Tasks

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