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Keep up to date with the latest techniques, tools, and research in artificial intelligence. Our AI blog talks about data science, uses, & responsible AI practices.
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Gemini Spark: Google's Always-On AI Agent Explained
Spark runs 24/7 on Google Cloud and chains tasks across Workspace apps. Learn what it does, how it compares to Claude and ChatGPT, and what to watch for.
Tom Farnschläder
May 20, 2026
Google I/O 2026: The Start of the Agentic Gemini Era
From Gemini 3.5 Flash and Gemini Omni to Antigravity 2.0 and Gemini Spark, here's what matters most from Google's agent-focused I/O 2026 keynote.
Tom Farnschläder
May 20, 2026
Gemini Omni: One Model for Text, Image, Audio, and Video
A first look at Google DeepMind's any-to-any model — what it does, what's new about it, and how to access it.
Josef Waples
May 19, 2026
Gemini 3.5 Flash: Google's Fastest Agentic Model
Google launched Gemini 3.5 Flash at I/O 2026, a model that outperforms Gemini 3.1 Pro on agentic and coding benchmarks while running four times faster than competitors.
Matt Crabtree
May 19, 2026
The Best Resources to Learn AI For Free in 2026
A curated list of the best free resources to learn AI, from beginner-friendly introductions to hands-on tutorials and official documentation from OpenAI and Ant
Matt Crabtree
May 18, 2026
The 18 Best AI Tools for Productivity in 2026
Discover the top AI productivity tools for 2026, from ChatGPT and Claude to Cursor and Napkin.ai. Find the right tool for writing, coding, research, and design.
Matt Crabtree
May 15, 2026
OpenAI Codex vs GitHub Copilot: A Complete Guide
Codex hands tasks off to an autonomous agent. Copilot keeps you in the loop in your IDE. Understanding that difference is the only framework you need to make the right choice.
Nikhil Adithyan
May 14, 2026
Context Engineering Is the New Systems Design for AI
Why memory-driven loops are replacing stateless architectures, and how to prepare yourself for what’s next
Jeremy Daly
May 13, 2026
AI Learning Roadmap 2026: The Best Resources for Beginners
A structured AI learning roadmap covering the best courses and resources for learning AI from scratch, covering everything from Python basics to LLMs and agentic AI.
Matt Crabtree
May 13, 2026
Interaction Models: What TML-Interaction-Small Gets Right
Mira Murati's Thinking Machines Lab built a model that listens and talks at the same time. We break down the features and benchmark it against GPT-Realtime-2.
Tom Farnschläder
May 13, 2026
DataCamp's Best Resources for Learning Claude: From Beginner to Advanced
A curated learning path through the best DataCamp tutorials, courses, and code-alongs for mastering Claude and the Anthropic ecosystem.
Matt Crabtree
May 12, 2026
SubQ AI Explained: How Good Is the 12M Context Window LLM?
Subquadratic's SubQ model claims a 12M-token context window, 52x efficiency, and frontier performance. Here's how its SSA architecture works and what the benchmarks actually say.
Srujana Maddula
May 12, 2026