Amazon Web Services commits to providing U.S. federal agencies up to $1 billion in cloud service discounts through 2028, joining Oracle and OpenAI in major deals aimed at accelerating government digital transformation and AI adoption.
In a groundbreaking move, Google offers free AI tools and training to college students globally, including the powerful Gemini 2.5 Pro and NotebookLM, with a $1 billion investment in AI education and Guided Learning to foster conceptual understanding.
Google unveils Jules, an AI coding assistant that integrates with GitHub, offering intelligent code fixes and updates asynchronously, with a free tier allowing 15 daily tasks and paid tiers starting at $19.99/month, streamlining development workflows.
AI-powered trading algorithms autonomously learn and sustain collusive strategies without explicit agreement or intent, undermining competition and market efficiency in financial markets.
In a major shift, Anthropic overtakes OpenAI with 32% enterprise market share as code generation emerges as AI's killer app, while open-source adoption stalls at 13% due to performance gaps, and enterprises rapidly upgrade to frontier models for performance gains over cost savings.
Meta CEO Mark Zuckerberg announces massive AI spending will continue through 2026 with expenses exceeding 2025 levels, raising total expense forecast to $114-118 billion and investing $14.3 billion in AI startup Scale AI, sending shares soaring 12% after strong quarterly earnings beat expectations.
Docker unveils the MCP Catalog and Toolkit, a centralized registry of over 100 verified containerized AI tools, streamlining discovery, secure execution, and integration of MCP servers for AI developers from Docker Desktop.
Routine data science tasks are now automated by AI, prompting data scientists to shift focus from technical accuracy to strategic business impact by prioritizing projects aligned with organizational goals, defining metrics reflecting business objectives, and translating insights into actionable recommendations.
AI tools like Cursor initially slow down developers by 19% as they adapt, but experienced users see major productivity boosts after overcoming the learning curve, despite overestimating AI's impact initially.
A Brazilian prompt engineer achieves a mere 7.5% score on a challenging new AI coding test, underscoring the complexity of real-world coding tasks for artificial intelligence models and prompting the organizer to offer a $1 million prize for an open-source model exceeding 90%.