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.
Deep learning is a specialized branch of machine learning that uses artificial neural networks inspired by the structure of the human brain. It enables computers to automatically learn and extract complex patterns from large amounts of data without explicit programming. Deep learning powers many modern AI applications, including speech recognition, image classification, autonomous driving, and natural language processing. Its effectiveness depends on vast datasets, high computational power, and multi-layered neural architectures that improve through iterative training. As deep learning models evolve, they continue to drive breakthroughs in generative AI, predictive analytics, and advanced automation.
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.
HappyHorse-1.0, an open-source AI video model, has topped global benchmarks, outperforming leading proprietary systems and signaling a shift in the video generation market.
Meta shares climbed 7% after unveiling Muse Spark, its new multimodal AI model, signaling investor confidence in the company’s revamped AI strategy.
SoftBank has secured a $40 billion bridge loan to deepen its investment in OpenAI and accelerate its broader AI strategy.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
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.