memory ended not being valuable in ChatGPT possible this exact implementation isn't valuable either but some memory implementation will be valuable, will create a bunch of lock in. and everyone is rushing to figure out what that is
AGENTS
-
Swiss AI Lab Launches Phone-Controlling AI Agents Without APIs
By
–
Agents just had their iPhone moment (literally).
— Chubby♨️ (@kimmonismus) 21 avril 2026
This swiss AI lab just shipped AI agents that are hooked up to real phones.
They don’t use APIs.
They don’t use SDKs.
They don’t need integrations.
Just pixels + touch. Just like humans. https://t.co/bZ7k3TE3OkAgents just had their iPhone moment (literally). This swiss AI lab just shipped AI agents that are hooked up to real phones. They don’t use APIs.
They don’t use SDKs.
They don’t need integrations. Just pixels + touch. Just like humans. -

Multi-Agent AI System Architecture for Digital Workforce
By
–
Having a 20-agent system is a million times more powerful than 100 agents working in silos. Last night, I stayed up way too late fixing and improving my digital workforce for my AI Agent Mastermind program but here are a few of the improvements I made – the hub and spoke
-
Future GPT-X.Y Could Autonomously Manage Your Entire Life
By
–
One of these days we’ll get a GPT-X.Y that you could prompt with “Run my life. Make no mistakes.” and it will run indefinitely for the rest of your life.
-
Alpha-AGI Protocol Cybersecurity Sovereign Launches on GitHub
By
–
Building: α-AGI Protocol Cybersecurity Sovereign — the first compounding correctness Sovereign, and the seed of an α-AGI Cybersecurity Sovereign . GitHub : https://
github.com/MontrealAI/alp
ha-nova-seeds
… #AGIALPHA -
Agent AI: From Advice to Execution and Results
By
–
Most AI gives advice, but you are still responsible for doing the work and getting the outcome. Agent AI takes responsibility by executing tasks and delivering results, not just suggestions. That shift from advice to action is what makes it far more powerful. pic.twitter.com/loCeFAQgTe
— Satya Mallick (@LearnOpenCV) 21 avril 2026Most AI gives advice, but you are still responsible for doing the work and getting the outcome. Agent AI takes responsibility by executing tasks and delivering results, not just suggestions. That shift from advice to action is what makes it far more powerful.
-
Real Conversational AI Needs Context, Systems Access, Actions
By
–
The biggest mistake I see: Companies add AI, upload FAQs, and call it transformation. That is not transformation.
That is a slightly smarter auto-reply. Real conversational AI needs 3 things: → context from the customer history
→ access to business systems
→ the ability to -

AI Transforms Customer Messaging Into Actionable Conversations
By
–
Most companies still treat customer messaging like a megaphone.
— Ronald van Loon (@Ronald_vanLoon) 21 avril 2026
Send update.
Push campaign.
Wait.
But AI is changing the rules fast:
The future is not better messaging.
It is conversations that actually get things done.
That is the big idea I unpacked with @GiorgioPagliara… pic.twitter.com/RwOSTXDuJiMost companies still treat customer messaging like a megaphone. Send update.
Push campaign.
Wait. But AI is changing the rules fast: The future is not better messaging.
It is conversations that actually get things done. That is the big idea I unpacked with @GiorgioPagliara -
Open Memory Needed to Prevent AI App Store Monopoly Pattern
By
–
Open memory or this becomes the next app-store pattern all over again.
-
Hugging Face Ecosystem Powers SOTA ML Training Agents
By
–
Love this work from Aksel and the post-training team at Hugging Face!
— Thomas Wolf (@Thom_Wolf) 21 avril 2026
Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance.
A… https://t.co/uakFTU5oD0Love this work from Aksel and the post-training team at Hugging Face! Turns out the HF ecosystem (papers, datasets, models all accessible through CLI, skills and md files) is perfect for running SOTA ML agents: agents that can train any type of AI model to top performance. A