Stripe's foundation model for payments
Stripe has developed a transformer-based payments foundation model, analogous to large language models, to move beyond the limitations of traditional machine learning models that rely on discrete features. By training on billions of transactions, this self-supervised network learns dense, general-purpose embeddings for each transaction, capturing complex relationships and subtle patterns. These rich embeddings have demonstrated significant success, such as improving real-time card-testing attack detection for large users from 59% to 97%. The model’s ability to distill transaction signals into versatile embeddings allows for better identification of nuanced, adversarial behavior and can be applied across various payment-related tasks like disputes and authorizations, suggesting that payments possess underlying semantic meaning and complex sequential dependencies.
AI Comes to Netflix
Netflix unveiled a new AI-powered search tool using ChatGPT for a conversational discovery experience. The feature, rolling out this week as an opt-in beta for iOS users, allows users to search for content using natural language phrases.
Google releases Gemini 2.5 Pro -an improved coder
Early access to Gemini 2.5 Pro Preview (I/O edition) is now available. This updated version significantly improves coding capabilities, particularly for building interactive web apps, and is now available in the Gemini API, Google AI Studio, Vertex AI, and the Gemini app.
ServiceNow CRM: Aims to redefine category with platform, AI, workflows
ServiceNow launched ServiceNow CRM, aiming to redefine the CRM category with its platform, AI, and workflows. The company, targeting Salesforce, aims to automate workflows across multiple functional groups, including sales, service, and marketing. ServiceNow’s platform approach, enabled by AI and workflow capabilities, differentiates it from traditional CRM systems, promising faster issue resolution, cost savings, and a seamless customer experience.
Amazon Q - now available in VS Code
Amazon Q Developer introduces a new, interactive, agentic coding experience in Visual Studio Code. This experience provides real-time collaboration, natural language interaction, and transparent reasoning for code suggestions. It seamlessly integrates with the local development environment, allowing for file reading/writing, bash command execution, and contextual assistance. you can choose between Amazon Q Developer Pro a paid subscription service, or Amazon Q Developer Free tier with AWS Builder ID user authentication.
Your filesystem as a Vector DB - VectorVFS
Ever wanted to do a AI search on your file system ? Now you can. VectorVFS is a lightweight Python package that transforms your Linux filesystem into a vector database by leveraging the native VFS (Virtual File System) extended attributes. Rather than maintaining a separate index or external database, VectorVFS stores vector embeddings directly alongside each file—turning your existing directory structure into an efficient and semantically searchable embedding store.
Visa launches a AI powered products for Agentic Commerce.
Visa Intelligent Commerce (VIC) is a new API‑suite and partner program launched on 30 April 2025 that lets autonomous AI agents not only recommend but pay for goods and services. It wraps Visa’s tokenization, authentication and fraud‑detection rails into five modular services—AI‑Ready Cards, Authentication, Payment Instructions, Personalization and Signals—so any agent built by partners such as OpenAI, Microsoft, Anthropic, Stripe, Samsung and others can transact safely inside preset spend limits. Early pilots begin this year; global rollout is expected in 2026.
OpenAI abandons plan to become a for-profit company
OpenAI has abandoned its plan to transition from a nonprofit to a for-profit company. Instead, its commercial subsidiary will become a public benefit corporation (PBC) with a new capital structure allowing for unlimited investor returns. The nonprofit board will continue to oversee the PBC, ensuring OpenAI’s mission of benefiting all of humanity remains at the forefront.
Anthropic connects more apps to Claude
Anthropic has introduced Integrations and Advanced Research for its AI chatbot Claude, enhancing its capabilities by allowing connections with various apps and tools like Atlassian and Zapier.
Tiny Agents: an MCP-powered agent in 50 lines of code
The Hugging Face team has released Tiny Agents. The implementation illustrates that once an MCP client is connected to tools, the development of a functional agent necessitates only a straightforward while loop to manage the interaction flow. Users can immediately experiment with a functional agent that connects to file system and browser tools by executing a simple npx @huggingface/mcp-client command.
Yelps AI powered answering service
Yelp will soon test an AI-powered answering service for restaurants and service providers.
Google’s AI podcast maker now in 50 languages
Google’s AI podcast maker, Audio Overviews, is now available in over 50 languages. Users can generate and listen to Audio Overviews in their preferred language by selecting it in NotebookLM settings.
Duolingo will replace contract workers with AI
Duolingo plans to become an “AI-first” company by replacing contractors with AI for various tasks and integrating AI into employee management processes.
Qwen3: Think Deeper, Act Faster
Alibaba’s Qwen crew has unleashed Qwen 3, an Apache-2.0 stack from a svelte 0.6 B up to a 235 B-parameter MoE colossus (only 22 B active) that humbles much larger rivals. A new “hybrid-thinking” switch lets it waffle through chain-of-thought when problems get knottier, or snap out terse replies when latency is tighter than a Monty Python cheese shop. Fed a gluttonous 36 T tokens in 119 languages, sporting 128 K context, sharper coding and agent skills (MCP + Qwen-Agent), and plug-and-play support for vLLM, Ollama, SGLang and friends, the dense models outclass Qwen 2.5 at half the size while MoE variants trim inference bills by ~90 %. Translation: deeper reasoning, faster answers, and your finance chief won’t need to resort to the comfy chair.
Shopping comes to chatGPT
OpenAI is launching a shopping experience within ChatGPT, featuring product recommendations and buy buttons. The recommendations, based on user preferences and web reviews, aim to provide a more personalized and conversational shopping experience compared to Google Shopping. OpenAI is exploring various affiliate revenue models to support online publishers while prioritizing high-quality recommendations. ChatGPT users are running over a billion web searches per week, and that people are using the tool to research a wide breadth of shopping categories, like beauty, home goods, and electronics
Deepwiki - Github Encyclopedia
Silas Alberti of Cognitionlabs / Devin announces on X a free encyclopedia of all GitHub repos
some numbers:
- 30k repos already indexed
- processed 4 billion+ lines of code
- the indexing alone cost $300k+ in compute spend