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.
OpenAI has introduced Sora 2, a next-generation video AI model with synchronized audio, improved physics, and tighter control, alongside a companion social app.
Opera today introduced Neon, an AI-powered browser that can run tasks and navigate pages autonomously — aiming to shift web browsing from passive to “agentic.”
OpenAI’s next version of its Sora video generator will default to including copyrighted content unless owners explicitly opt out – drawing criticism from media creators.
OpenAI introduces ChatGPT Pulse, a proactive feature delivering daily updates and suggestions directly in the app, positioning it as a potential challenger to social media feeds.
AI search startup Perplexity has reportedly raised $200 million at a $20 billion valuation, just two months after a $100 million round – signaling its rapid rise as a major rival to Google.