June 9, 2026
AIGemma 4 vs The World: Developer Benchmarks That Matter
MMLU, HumanEval, DROP—these academic benchmarks tell you what models can do in labs. They don't tell you:
$ ls -la ./blog
Writing
> Thoughts on AI, software engineering, and building the future of automation.(571 posts)
June 9, 2026
AIGemma 4 Fine-Tuning: Production Recipes for 2026
Pre-trained models are commodities. Fine-tuned models are competitive advantages.
June 9, 2026
AIGemma 4 Edge Deployment: From Data Center to Pocket
For years, "edge AI" meant compromising—running quantized MobileNet on a Raspberry Pi and calling it intelligence. Gemma 4 changes the equation entirely. With the E2B (Effective 2B) and E4B (Effective...
June 9, 2026
AIDFlash: Pushing Gemma 4 to Warp Speed
Google's Gemma 4 family landed this week with some serious firepower:
June 9, 2026
AIBuilding Agentic Apps with Gemma 4: From Zero to Autonomous
2025 was the year of RAG. 2026 is the year of agents.
June 9, 2026
AIAccelerating Gemma 4: A Developer's Deep Dive
Google's Gemma 4, released April 2, 2026, isn't just another open-weight model—it's a paradigm shift in how developers build, deploy, and scale AI applications. Built from the same research stack as G...