🤖 Need a 24/7 multilingual support assistant that never sleeps?

Last week, we shipped a major update for HyMatrix 🚀 v0.5.0 introduces: 🔐 Encrypted communication between clients and nodes 🖥 VM lifecycle management APIs ⚙️ Better VMM infrastructure and admin controls More secure. More controllable. More production-ready. github.com/hymatrix/hymx/rel… #OpenSource #AI #AIAgent #Infrastructure

To boost productivity with AI, the prerequisite is mastering the SKILLS of debugging and applying constraints. Isn't this too difficult for someone without engineering experience? Anyone who uses AI effectively needs to clearly think through what their requirements are: the detailed workflow, as well as the specifics and sequence of each step. These are all architect-level capabilities. AI is still far from its endgame.

A created thing does not possess the laws of its own creation. Is it possible to write a program that generates itself?

Codex for (almost) everything. It can now use apps on your Mac, connect to more of your tools, create images, learn from previous actions, remember how you like to work, and take on ongoing and repeatable tasks.

INSEAD MIM’27 × Web3 & AI Builders A closed-door session. Not a stage, but a doorway — from school to the real world! Today, students meet builders: Juan Ma — Adjunct Professor of Strategy @INSEAD @JunboPeng — Co-founder @Moledao @b0yan913 — Founder @iddotlife @outprog — Founder @VertrAI @1vayou — Employer Branding @abf_finance Carlos Chacon — Advisor @DeBox_Social @EDCBeatBit — Founder @CudisWellness If you're building — this is where your future hires, partners, and maybe even your next co-founder begin! #Moledao #Web3Career

Daniel Kahneman’s Thinking, Fast and Slow, originally a landmark work in psychology, has now become the "programming bible" for AI Agents. The book introduces two cognitive systems: 1️⃣ System 1 (Fast Thinking), which is automatic and subconscious. 2️⃣ System 2 (Slow Thinking), which requires deliberate attention, control, and logic. In AI Agent engineering, the Large Language Model (LLM) acts as System 1—responsible for rapid responses based on probability and linguistic intuition, yet prone to hallucinations. The Agent architecture functions as System 2; through planning, reflection, and external tool integration, it forces the model into a controlled, logical "slow thinking" mode to correct intuitive errors and execute complex tasks. @kahneman_daniel @vertr_ai

Even among the same @claudeai and @openclaw users, the ways they use them are worlds apart. AI has no boundaries—only the limits of imagination.

Two years ago: "AI will replace designers." 2026: "Here's an MCP so AI agents can work alongside you." The shift from replacement to augmentation happened faster than anyone predicted.

Which one do you like

You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.

At first glance, @openclaw seems capable of doing absolutely everything, yet simultaneously nothing at all. You dig deeper and get the illusion that with exhaustive configuration, it really can do everything—only to finish the actual setup and realize that, once again, it does nothing. Then you grind out some hands-on experience and think, 'Okay, now it can do everything.' You finally brute-force your way through a few successful workflows, only to discover those workflows need to be updated... and just like that, you are right back to it doing absolutely nothing.

Wait for AI—grab a cup of coffee while your digital employee completes the task.

Native chat is the right UX for AI agents. No dashboard, no terminal. We're building vertr.ai on the same premise: subscribe, your agent shows up in Telegram, ready to work. Coming soon. 🐙

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

Rebirth of a Dev: Transitioning from Architect to Harness Engineer. 🛠️ If LLMs are wild stallions—raw power, chaotic direction—then Harness Engineering is the masterpiece of saddlery. Without the harness, the horse runs aimlessly; with it, the beast becomes a powerhouse. Spent days tweaking SKILL.md and the epiphany hit: This isn't about coding. It's about Orchestration. * It’s the art of constraints. 🎯 It’s the science of direction. 🎯 It’s open to anyone who knows how to command and conquer logic. Anyone can be a Harness Engineer. It’s no longer about the underlying code—it's about your mastery of business logic and how you define the boundaries of AI cognition. I’m just starting to see the results, and this is definitely the way! #AIAgents #HarnessEngineering #ADK #LLM #FutureOfWork

AI Agent engineering ≈ biological engineering. 🧠 We’re not “designing” agents—we’re evolving them. Like life: 1️⃣ built as layered systems 2️⃣ shaped by iteration, not planning 3️⃣ optimized through selection (what works survives) There’s no single best architecture—only better adaptations. Agents aren’t engineered. They’re evolved.

Our official website is live. 🐙 A new way to hire top-tier AI digital employees. Zero-config. Ready in 60 seconds. We handle the infrastructure so you don't have to. The AI workforce is coming. Stay tuned. 👉 vertr.ai #VertrAI #AI #AIAgent #OpenClaw

OpenClaw @openclaw is still too early-stage — without months of iteration, it’s hard to achieve production-grade applications. Right now it’s still an electronic pet for playing around and novelty. @AnthropicAI and @OpenAI are far more powerful. OpenClaw can’t compare in terms of productivity. Especially Claude Code’s Cowork — it feels like a production-ready version of 🦞. By comparison, 🦞 looks like it’s brain-dead.

In the AI era, the boundaries of cognition are being rewritten—or completely overturned. 🤖 A recurring theme in my recent practice: The strong get stronger; the winner takes all. We often talk about a paradigm shift in productivity—from "effort/hours-driven" to "cognition/taste-driven." But experiencing this shift in real-time is brutal. As AI lowers the barrier to entry for tools, it paradoxically raises the "cognitive threshold" for the user. This "cognitive gap" is becoming the single greatest differentiator in productivity. In the AI age, true producers must master: 1️⃣ The ability to define the problem precisely. 2️⃣ The habit of deconstructing thought paths. 3️⃣ The internalization of best practices. The battle is no longer about how long you’ve been running, but about the depth of your thinking and the altitude of your questions. #AI #Productivity #FutureOfWork #AIAgent