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.
Andrej Karpathy argues AI coding agents now fundamentally change programming workflows, enabling long-running autonomous tasks and redefining software engineering.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
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.
A former Citigroup executive says commercially available humanoid robots can now deliver a return on investment in under 10 weeks, potentially accelerating enterprise automation.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.
Google is rolling out Gemini 3.1 Pro across consumer, developer, and enterprise products, touting major gains in reasoning performance and benchmark results.
India’s AI Impact Summit in New Delhi delivered more than $250 billion in investment commitments, spanning data centers, AI infrastructure, and global expansion plans.
Fei-Fei Li’s World Labs secured a $200 million investment from Autodesk as part of a broader $1 billion round, deepening collaboration on AI systems that generate and reason about 3D environments.
Mistral AI CEO Arthur Mensch said more than half of today’s enterprise software could be replaced by AI, intensifying investor concerns about the future of SaaS business models.
Perplexity says it will not reintroduce advertising into its AI answers, distancing itself from rivals that are experimenting with ads to offset rising costs.