AI has been writing one word at a time. Google just changed that.
DiffusionGemma refines an entire 256-token block together instead of generating left to right. 1,000+ tokens/sec on an NVIDIA H100.
I built a live demo to see how it compares with regular Gemma 4.#DiffusionGemma
HTTP standardized how applications communicate.
A2A protocol is trying to do the same for AI agents.
Built a Codebase Explainer with ADK, LangGraph, and CrewAI to learn how it works in practice.
Video, code, and blog - https://t.co/njLO4MzdJ3
#A2A#AIAgents#AIEngineering
"Skip the infrastructure. Ship the agent."
One of the Google I/O 2026 announcements that immediately caught my attention was Managed Agents.
Define the agent. Google handles the runtime environment around it.
Wrote a deep dive ๐
#GoogleIO2026#AIAgents#ManagedAgent
@GoogleAIStudio Built โReading DNAโ - A Telegram AI agent that learns your reading taste through conversation and recommends books using ADK 2.0+ Gemini 2.5 Flash.
#GoogleADK#AIAgents
Project + Architecture : Reading DNA is a Telegram-based AI agent built with Google ADK 2.1, FastAPI, Gemini 2.5 Flash, Vertex AI, and Cloud Run.
It analyzes reading taste through multi-turn conversations and recommends books with contextual reasoning.
https://t.co/3YVUAAo0s3
Google ADK 2.0โs shift toward graph-based workflows caught my attention at #GoogleIO2026.
Built โReading DNAโ while exploring it- A Telegram AI agent that learns your reading taste through conversation and recommends books using ADK + Gemini 2.5 Flash.Demo ๐
#GoogleADK#AIAgents
@googleaidevs Built an offline multimodal recipe analyzer with Gemma 4.Scan recipes in any language the app translates them into English and converts them into structured recipes fully on-device. No internet connection needed.
Built an offline multimodal recipe analyzer with Gemma 4. Scan recipes in any language the app translates them into English and converts them into structured recipes fully on-device. No internet connection needed.
@GoogleAI@AndroidDev#Gemma4#OnDeviceAI#AI#GoogleIO