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.
Anthropic has reportedly signed a 20-year, $9.1 billion data center agreement with Riot Platforms for 191 MW of AI computing capacity at the bitcoin miner’s Rockdale campus in Texas.
Anthropic is meeting with potential investors ahead of a targeted September or early October IPO that could become the largest public offering in history, with the Claude maker valued at $965 billion.
Meta has released Muse Glimmer, a 30-billion-parameter open-weight model built for local AI agents, coding, tool use, and multimodal tasks on a single consumer GPU or high-end Mac.
Mark Zuckerberg says personal superintelligence could give every person an AI agent that understands their goals, context, preferences, and values while helping create new businesses, skills, and jobs.
Cloudflare says AI agents, bots, and other automated systems could generate up to 1,000 times more internet traffic than humans within five years as machine activity accelerates.
OpenAI is replacing GPT-5.5 Instant with GPT-5.6 Luna for Free and Go users, then removing text-chat limits and adding a Think button for harder questions.
Demis Hassabis is becoming Alphabet chief scientist as Koray Kavukcuoglu takes operational control of DeepMind and four Google veterans launch Discovery Loop.
Meta has launched Muse Code, a terminal coding agent powered by Muse Spark 1.2, targeting long-running software projects and established rivals Codex and Claude Code.
AI startups captured 53% of global venture funding in July, their lowest share since December, even as total investment reached $65 billion in a record month for mega-rounds.
Alibaba has launched Qwen 3.8 Max, a 2.4-trillion-parameter mixture-of-experts model with 1M context and aggressive API pricing.