Each week, we bring you 5 stories that resonated the most in our internal Slack channel #AI-news. We write the newsletter using various AI tools because we're an AI company and our marketing wants to move with the times too. 😎
Today you're reading the 65th issue in a row.
#1
Memory update 🧠: ChatGPT can now remember your past conversations 🔍💡!
OpenAI has launched long-term memory for ChatGPT 🧠, which allows it to remember things from previous chats – even if you didn’t manually save them ✍️. This means it can give you more personalized 💖 and better-tailored responses 🎯 over time.
It builds on last year’s “Memory” feature 🗂️, but now it also includes automatic reading from your chat history 📚. This feature is optional ✅ and can be turned off anytime 🔌.
It’s currently being gradually rolled out to Pro users with a $200/month subscription, while those with a Plus plan for $20 and businesses 🧑💼 will get access soon. However, it’s not yet available in the EU or in other countries 🌍 with stricter regulations ⚖️.
#2
Agent2Agent 🤖: A new standard for AI agent communication 📡.
Google has introduced Agent2Agent (A2A) 🤖🔗, a new communication protocol for AI agents designed to ensure they can clearly and securely exchange information and collaborate 🔐💬 – even if they come from different companies 🏢. As AI tools become more common in businesses today 🧠📈, it’s important that these systems can understand each other 🔄.
More than 50 partners 🤝 participated in the development of A2A, including companies like Salesforce, Intuit, and LangChain. The protocol sets shared rules for exchanging tasks, context, and data. It’s based on standard formats like JSON 🧾, it’s open source 🆓, and it works even when agents don’t share memory 🧠 or use the same tools 🛠️.
This protocol fits into a broader trend in the AI world 🌍🤖. Similar efforts include MCP from Anthropic and AGNTCY, backed by Cisco 🛰️. Google says that A2A is not a replacement for these solutions but can work alongside them ⚙️. The real challenge now? Making sure as many players as possible adopt these shared standards 🧩🌐.
#3
IEA forecast 🌍: By 2030, AI data centers could consume as much electricity as all of Japan 🇯🇵💾.
According to the latest report from the International Energy Agency (IEA) 🌍📊, artificial intelligence could more than double global electricity consumption in data centers by 2030 💾 – reaching the level of electricity currently used by all of Japan. In the U.S. 🇺🇸, AI data centers might soon consume more electricity than the entire heavy industry sector combined 🏭. This kind of growth could strain power grids, increase emissions, and intensify demand for rare minerals 🪨 used in AI hardware 🖥️.
But there’s also another side to AI ⚖️ – it can help reduce emissions, improve energy efficiency 💡, and accelerate the development of technologies like batteries and solar panels ☀️. That makes it a tool that can be part of the solution, not just the problem 🔄.
The report calls on governments 🏛️ to act quickly ⏱️: modernize the electricity infrastructure, improve data center efficiency 🧠💾, and better align energy and tech policies 🧩. Otherwise, the rapid growth of AI might outpace our ability to keep it running without unnecessary strain on the planet 🌍⚠️.
#4
Google adopts Anthropic’s standard for connecting AI with data 🧠🔗.
Google is adding support for the Model Context Protocol (MCP) 🔗—created by Anthropic—to its Gemini models 🧠✨ and developer SDK. With this move, Google joins OpenAI 🤖, which already supports the protocol. MCP is an open standard 🌐 that allows AI models to directly access data from various business tools, databases, and apps 📱—and even work with them directly ⚙️.
Thanks to MCP, AI applications like chatbots 💬 or automation tools become much more practical ✅. They can now use up-to-date information 📡 instead of relying solely on previously “hard-coded” knowledge. This opens the door to much more accurate answers 🎯 and better interactivity 🔄.
Since MCP was made open source 🆓, companies like Block, Apollo, Replit, and Sourcegraph 🗂️ have joined the initiative. Now that Google supports it too, it seems MCP is quickly becoming the new standard for how AI systems interact with real-world data 📈🧠.
#5
Netflix 🎥: Testing AI search powered by OpenAI 🤖🔍.
Netflix is testing a new search tool 🔍 that uses technology from OpenAI 🤖. This tool lets you search for shows and movies 🎬 using very specific details—like your mood 😊 or personal preferences 🎯. Instead of typing in traditional genres or actor names, you can write something like “something light and funny after a long day” 🛋️, and the system will suggest titles that match ✅.
For now, it’s an optional test 🧪 available only to selected iOS users in Australia and New Zealand 🇳🇿. Netflix plans to expand testing to the U.S. 🇺🇸 in the coming weeks or months. Since this is an early beta version 🧱, the company is currently collecting feedback 💬 and fine-tuning the features ⚙️.
This move shows how streaming services 🎥 are trying to better adapt to users' individual needs 👤. With this test, Netflix is exploring how to make content discovery more enjoyable—and less of a guessing game 🎲.
