Prompt engineering is the practice of designing instructions and context that help a generative AI system perform a task reliably. A strong prompt clarifies the objective, audience, constraints, source material, desired format, and what the model should do when information is missing. Examples can demonstrate expected behavior, while structured sections make complex requests easier to follow. Prompting cannot add knowledge the model lacks or guarantee factual accuracy, and techniques may behave differently across model versions. Production prompts are treated like other application components: they are versioned, tested against representative and adversarial cases, measured for quality and cost, and paired with retrieval, validation, permissions, or human review when needed.
Google DeepMind has introduced AlphaGenome, a new AI model designed to analyze long DNA sequences and predict how genetic variations may influence disease development.
Amazon is in early discussions to invest tens of billions of dollars in OpenAI, a move that could deepen its position in the global AI race and make it the startup’s largest new backer.
Mistral AI released the general availability of Mistral Vibe 2.0, upgrading its terminal-based coding agent as it shifts developer tools from testing to paid enterprise products.
Google’s lower-cost AI Plus subscription, priced at $7.99 in the U.S., is now available in all markets offering Google AI plans, providing access to Gemini 3 Pro, AI filmmaking tools, and more.
Apple plans to debut a Gemini-based Siri in February, offering more natural conversations, complex tasks, and integration across iOS, iPadOS, and macOS.
OpenAI’s latest ChatGPT model has cited Elon Musk-backed Grokipedia across multiple topics, prompting concerns among researchers about how low-credibility sources can influence AI-generated answers.
Language learning app Praktika is using OpenAI models to power a multi-agent tutoring system designed to improve real-world speaking fluency through adaptive, conversational lessons.
Apple is reportedly working on a pin-shaped AI wearable with cameras and microphones, potentially launching in 2027, signaling increased competition in the AI hardware space.
Apple is preparing a major overhaul of Siri that would turn the assistant into a chatbot-style interface integrated into iOS 27, reflecting growing competitive pressure in generative AI.
OpenAI is on track to unveil its first consumer device in the second half of 2026, signaling a major expansion beyond software as the company explores a new category of AI-native hardware.