GPT-5.4 Thinking and GPT-5.4 Pro are rolling out now in ChatGPT. GPT-5.4 is also now available in the API and Codex. GPT-5.4 brings our advances in reasoning, coding, and agentic workflows into one frontier model.
AUTOMATION
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Microsoft Copilot Tasks Launches SMS Support and Scheduling
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Tasks now has SMS support! Just delegate via text and get notified when it's finished. And scheduled tasks can run on your behalf, one-off or recurring. Getting great feedback from early testers (more features coming soon) so join the wait list now: https://t.co/WyoAqQjprI pic.twitter.com/EquSay5M01
— Mustafa Suleyman (@mustafasuleyman) 5 mars 2026Tasks now has SMS support! Just delegate via text and get notified when it's finished. And scheduled tasks can run on your behalf, one-off or recurring. Getting great feedback from early testers (more features coming soon) so join the wait list now: https://
copilot.microsoft.com/tasks/preview?
form=M301EQ&OCID=CGE_osocial_Copilot_Free_868hmzrvb
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LocalCowork: AI Agent Running on MacBook with 67 Tools
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> 385ms average tool selection. > 67 tools across 13 MCP servers. > 14.5GB memory footprint. > Zero network calls. LocalCowork is an AI agent that runs on a MacBook. Open source. 🧵
→ View original post on X — @maximelabonne, 2026-03-05 15:55 UTC
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Behavioral email system: Brennan Dunn’s 24-hour sales team
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Brennan Dunn's definition of a 24-hour sales team: Not a person.
Not a department. A behavioral email system that knows who each subscriber is and says the right thing to them automatically. $1M ARR. Just Brennan and fractional specialists
Listen:
🔗 scalebrate.com/podcast/stop-broadcasting-start-focusing-interview-with-brennan-dunn-ceo-founder-rightmessage [Translated from EN to English]→ View original post on X — @rschmelzer, 2026-03-05 14:33 UTC
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Scaling GenAI in Enterprises: Building Operating Rhythm Framework
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Enterprises spend billions on generative AI — much of it is still trapped in proof-of-concept. Scaling GenAI requires more than a good model. It requires an operating rhythm: traceable, governed, and cost-aware. Our new ebook shows you how to build it. https://
domino.buzz/3OAMPYe -
MCP vs. Skills for AI Agents: A Technical Breakdown
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MCP vs. Skills for AI agents, clearly explained!
— Akshay 🚀 (@akshay_pachaar) 5 mars 2026
People treat MCP and Skills like they're the same thing.
They're not.
Conflating them is one of the most common mistakes I see when people start building AI agents seriously.
So let's break both down from scratch.
Before MCP… pic.twitter.com/QVJm6RHM0bMCP vs. Skills for AI agents, clearly explained! People treat MCP and Skills like they're the same thing. They're not. Conflating them is one of the most common mistakes I see when people start building AI agents seriously. So let's break both down from scratch. Before MCP
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ART: Open-Source Framework for Training AI Agents with Automatic Rewards
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AI Engineering are going to love this!
— Akshay 🚀 (@akshay_pachaar) 5 mars 2026
ART (Agent Reinforcement Trainer) is an open-source framework for training agents with GRPO + RULER (an automatic reward system).
No need to hand-craft reward functions.
GitHub: https://t.co/O4dIDm6cqv https://t.co/OHeohQTOd4 pic.twitter.com/LLhoe6nUq7AI Engineering are going to love this! ART (Agent Reinforcement Trainer) is an open-source framework for training agents with GRPO + RULER (an automatic reward system). No need to hand-craft reward functions. GitHub: http://
github.com/OpenPipe/ART -
Building an AI to read content for you, launching in weeks
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I'm building an AI to read it for you. Out in a couple of weeks.
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Human done unaligned.io with Irena Cronin, automated version generated Notebook LM script
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Yes: https://
unaligned.io That one is human done with @IrenaCronin but we are playing with doing an automated one separately from that, which is sort of what generated this Notebook LM script. -

Retrieval Method Trumps Memory Writing in AI Agents
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most people building AI agents obsess over how they WRITE memories
turns out that's basically irrelevant new research analyzed 9 different memory systems across 1,540 questions the finding?
retrieval method drives 20-point accuracy swings
write strategy? 3–8 points max raw
