Now Claude, ChatGPT, and your agents can share memory with each other. That means:
→ fewer repeated prompts
→ persistent context
→ much smoother workflows
→ long projects without losing continuity And it also works with more clients like Cursor, Windsurf, Raycast, or Gemini
LLMS
-
AI assistants and agents can now share memory across clients
By
–
-
How to access ChatGPT Memory Store in a chat
By
–
4. To use it in ChatGPT: → open any chat
→ go to Tools/Connectors
→ select “Memory Store” And write: “Check in and show me my memory store context.” If everything is properly connected, ChatGPT will already have access to your shared memory. -
Shared Memory Store Unifies Context Across AI Tools
By
–
Acaban de arreglar uno de los mayores problemas de la IA.
— Nico (@nicos_ai) 19 mai 2026
Se llama Memory Store.
Una memoria compartida para Claude, ChatGPT, Cursor y tus agentes IA.
Tu contexto persiste entre herramientas, proyectos y conversaciones.
Te explico cómo configurarlo en menos de 3 minutos 👇 https://t.co/QSndJDNVt7 pic.twitter.com/TJPEZpJjo0They just fixed one of the biggest problems in AI. It's called Memory Store. A shared memory for Claude, ChatGPT, Cursor, and your AI agents. Your context persists across tools, projects, and conversations. I'll explain how to set it up in less than 3 minutes
-
Using Google Genie 3 to Simulate Real-World Environments
By
–
Woot! You can now simulate real world places by grounding Genie 3 experiences with Street View imagery.
— Bilawal Sidhu (@bilawalsidhu) 19 mai 2026
Google sitting on the mother lode of real world data, and is starting to put it to work!
Let's dive into some prompts & locations I tested… pic.twitter.com/TlXSWNx08hWoot! You can now simulate real world places by grounding Genie 3 experiences with Street View imagery. Google sitting on the mother lode of real world data, and is starting to put it to work! Let's dive into some prompts & locations I tested…
-
PRISM: Test-time Scaling for Discrete Diffusion LLMs
By
–
What if AI could scale its reasoning without wasting compute? Researchers from NUS, Georgia Tech, and other institutions present PRISM — a test-time scaling method for discrete diffusion language models (dLLMs). It uses hierarchical search to prune and reallocate compute
-
Google Search Integrates AI and Gemini 3.5 Flash
By
–
Today we are starting to roll out the biggest upgrade to the Google Search box in over 25 years — now completely reimagined with AI, along with Gemini 3.5 Flash as the new default model for AI mode users globally! pic.twitter.com/sBh1jaCjLh
— Logan Kilpatrick (@OfficialLoganK) 19 mai 2026Today we are starting to roll out the biggest upgrade to the Google Search box in over 25 years — now completely reimagined with AI, along with Gemini 3.5 Flash as the new default model for AI mode users globally!
-
Google’s Gemini 3.5 Flash Now Available on Databricks Platform
By
–
Google's Gemini 3.5 Flash is now available on Databricks! @Google just released Gemini 3.5 Flash, and Databricks is among the first outside the Gemini Enterprise Agent Platform to offer it. Build and scale agentic AI applications on your enterprise data with the governance and
-
Early access: Gemini 3.5 Flash impressions and demo
By
–
Also had some early access to Gemini 3.5 Flash. Very fast for a flash model and very capable, though not as powerful as a full frontier model. I added it to the gallery or procedurally generated one-shot towns (it made one error that it corrected): https://
hg-20f7d1a3ce.netlify.app/#gemini-3-5-fl
ash
… -
Google Introduces Agentic Coding Features in Search
By
–
Google just announced agentic coding in search. Based on your search, Gemini processes your ask, decides whether it should build a new interface, reasons through the steps, and creates a personalized interface for you. It’s powered by Antigravity. Sort of like artifacts.
-
Google announces Gemini 3.5 Flash model series
By
–
Three years ago, Gemini started by understanding the world.
— Google AI (@GoogleAI) 19 mai 2026
With Gemini 2, models learned to think and reason.
Late last year, Gemini 3 brought any idea to life.
Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering… pic.twitter.com/79sdQz5kfJThree years ago, Gemini started by understanding the world. With Gemini 2, models learned to think and reason. Late last year, Gemini 3 brought any idea to life. Today, we’re continuing that journey with our Gemini 3.5 series, starting with Gemini 3.5 Flash, delivering