Industrial vibration monitoring is evolving fast. Who else should be part of this conversation? @IIoT_World @CRudinschi @agentic_factory
AUTOMATION
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OpenClaw: Multi-Provider AI Model Support Development
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I have two jobs, and in my personal time I wanna make sure OpenClaw works for ANY model provider, local or cloud.
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Voice Mode Agents Orchestrating Stronger Background Models
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I want voice mode to be able to kickoff background subagents that use stronger models and then say 30 seconds later "here's what I figured out about X"
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Agent Harnesses: Stable Abstractions for LLM-Based Systems
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im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop and have them call tools (remember autoGPT? that's all that was) but the
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Notion AI Agents Gain Advanced Customization Tools
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Notion continues to work on the "Computer" feature to expand the capabilities of its AI workforce. Notion AI agents will have access to custom Computer environments, Computer Use model selector, trusted URLs setting, and custom "scripts". > Imagine hiring dozens of AI
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Doors: The Unexpected Obstacle to Robotic Superiority
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doors. door handles. the arc enemy of robotic superiority
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Building Production Agents: Podcast Deep Dive Details
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we are doing this podcast specifically to highlight the innermost details of building agents in production may be a little niche, but its a niche i like
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OpenAI’s AI Reaching Research Intern Level by September 2026
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OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern.
— Jacob Effron (@jacobeffron) 10 avril 2026
This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028.
Jakub's update: "I think we're not very far from models that can work autonomously for a… https://t.co/jsmSU6cSNH pic.twitter.com/gzzyonGEF8OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern. This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028. Jakub's update: "I think we're not very far from models that can work autonomously for a couple days… and produce much higher quality artifacts on their own." Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m
→ View original post on X — @ceobillionaire, 2026-04-10 14:10 UTC
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Hermes Agent Open Source Framework Ecosystem Mapped and Documented
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Hermes Agent is one of the most powerful open source AI agent frameworks and nobody knows how to use it. Someone just mapped the entire ecosystem. 80+ tools, skills, plugins, and integrations documented in one place. 568 GitHub stars in 48 hours. Zero to fully autonomous agent in an afternoon.
→ View original post on X — @ceobillionaire, 2026-04-10 13:45 UTC
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Claude Multi-Agent Collaborative Workflow
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8. Claude Multi-Agent Workflow You are 4 collaborative agents:
• Architect (system design)
• Engineer (development)
• Reviewer (quality control)
• Optimizer (performance improvement) Return:
• Architecture
• Implementation
• Review feedback
• Final optimized version