Artificial Intelligence #270
Andriy Burkov
PhD in AI, author of 📖 The Hundred-Page Language Models Book and 📖 The Hundred-Page Machine Learning Book
Hey, in this issue: how people are really using gen AI in 2025; the AI agent era requires a new kind of game theory; Google unveils Ironwood, its most powerful AI processor yet; an overview of large language models for statisticians; fundamentals of GPU architecture; micro-budget training of large-scale diffusion models; and more.
The sponsor of this issue is AtScale.
Explore how GenAI and semantic layers are transforming BI. Hear from leaders at Snowflake, IBM, Databricks & ThoughtSpot on building AI-ready data stacks, improving governance, and scaling insights. Don’t miss this future-focused session!
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You know how to scale for the future and compete with major tech companies! Brilliant!
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1moCongrats Andriy! 🎉it's possible that it's can compete with a Super A.I. in 2028
Recruitment Manager / Client Relations Manager | Hiring C level executive Leadership Roles Fortune500 |LinkedIn Top Strategist | Enthusiast🔎
1moAndriy Burkov 🚀🚀 Marc Zao-Sanders' How People Are Really Using Gen AI in 2025 offers a brilliant exploration of AI's impact on personal and professional spheres. The methodology of diving into real-world use cases through platforms like Reddit provides invaluable insights into behaviors and applications, making the Top-100 Gen AI Use Case Report a standout addition. As advancements like Google's Ironwood processor and the emphasis on semantic layers in business intelligence unfold, the article raises an important question: How can organizations balance rapid innovation with ethical governance to ensure AI's benefits are responsibly realized? Kudos to Marc for sparking meaningful conversations about this transformative technology! - Kodan V. 🌟