Facebook introduces an opt-in feature allowing AI analysis of users' photos for creative suggestions, requiring agreement to Meta's AI Terms of Service permitting facial recognition and analysis of personal media, while assuring photos are not used for ad targeting or AI model improvement.
In a groundbreaking development, Replit's CEO unveils AI 'agents' capable of autonomously building software from written prompts in mere minutes, revolutionizing the coding process and paving the way for rapid application development.
Companies embrace 'model minimalism' to cut costs while OpenAI unveils o3-pro, a reliable enterprise AI model offering increased tool use at the expense of speed.
Pearson and Google Cloud unveil a multi-year AI-driven partnership combining Pearson's educational expertise with Google's AI technologies like Vertex AI Platform and Gemini models to develop personalized student learning tools, data-driven teacher support, scalable AI-powered content delivery, and responsible AI implementation.
Google's Doppl, an experimental app, revolutionizes virtual fashion fitting, allowing users to upload photos of outfits and see AI-generated videos of how they look on a digital avatar, enabling interactive style exploration on smartphones.
Meta bolsters its AI capabilities by poaching OpenAI researcher Trapit Bansal, who joins the company's new AI superintelligence unit led by Alexandr Wang, aiming to develop advanced AI reasoning models to power products like AI agents.
Former Uber CEO Travis Kalanick is in talks to acquire Pony AI's U.S. unit, potentially with assistance from Uber, marking his return to the autonomous vehicle space after his 2017 exit.
AI fluency surges as a baseline expectation across the workforce, with job listings mentioning AI soaring 56.1% in 2025, giving rise to new AI roles like AI Engineer and AI Content Creator, while human-centered skills eclipse technical expertise for AI roles in Design and Make industries.
ChatGPT API and LangChain enable a Retrieval-Augmented Generation pipeline that generates accurate responses by retrieving relevant context from local text files stored in a FAISS vector database, showcasing the power of integrating large language models with external data sources.
Innovative AI agents revolutionize machine learning by automating up to 80% of repetitive operational workflows, empowering practitioners to focus on core tasks through dynamic decision-making frameworks tailored for diverse needs like visual design, code flexibility, enterprise integration, and research.