Oracle Layoffs Reveal ‘Train Then Replace’ AI Strategy
Former Oracle employees say they were asked to help train internal AI systems before being laid off, as the company shifts resources toward data centers and AI infrastructure.
Machine learning is a core branch of artificial intelligence that enables computers to learn patterns from data and make predictions or decisions without being explicitly programmed. It relies on algorithms that improve automatically through experience, using large datasets to recognize trends, classify information, and generate insights. Common approaches include supervised, unsupervised, and reinforcement learning, each suited for different types of problems. Machine learning powers many everyday technologies, from recommendation systems and fraud detection to voice assistants and autonomous vehicles. As data availability and computational power continue to grow, machine learning remains the driving force behind most modern AI applications.
Former Oracle employees say they were asked to help train internal AI systems before being laid off, as the company shifts resources toward data centers and AI infrastructure.
OpenAI has launched GPT-5.5, a new flagship model designed for coding, computer use, knowledge work, and scientific research, with stronger performance, lower token usage, and broader real-world autonomy than GPT-5.4.
Meta is developing an internal AI agent to assist CEO Mark Zuckerberg with decision-making and information access. The move reflects the company’s broader shift toward AI-driven operations.
Anthropic introduced Claude Code Channels, enabling developers to interact with AI agents via Telegram and Discord. The feature allows remote workflows and real-time event handling.
Google has upgraded Stitch into a full AI-native design platform that converts natural language into interactive UI prototypes. The update introduces a design agent, voice input, and a new design system format.
Xiaomi has launched a closed beta for miclaw, an AI agent powered by the MiMo large model that can control smartphones and smart home devices using natural language commands.
Anthropic unveils a revised Responsible Scaling Policy with a Frontier Safety Roadmap, regular Risk Reports, and clearer separation between company commitments and industry recommendations.
ŌURA unveils a proprietary large language model for women’s health, combining clinical research and biometric data to deliver personalized, privacy-first AI guidance through Oura Advisor.
Anthropic reveals industrial-scale campaigns by DeepSeek, Moonshot, and MiniMax to extract Claude’s capabilities via fraudulent accounts, highlighting national security and AI safety risks.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.