#AI on the Assembly Line: Instant Potato Counting with Minimal Training
by @IlirAliu_ #ArtificialIntelligence #MachineLearning #ML #MI
AUTOMATION
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AI on the Assembly Line: Instant Potato Counting with Minimal Training
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Securely monitor long-running agents from your phone
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4/ The cherry on top!
— Charly Wargnier (@DataChaz) 26 juin 2026
You can securely monitor long-running agents from your phone (works on both iOS and Android)
.. while the session keeps running locally on your machine 🔥 pic.twitter.com/k1ybWW1ntK4/ The cherry on top! You can securely monitor long-running agents from your phone (works on both iOS and Android) .. while the session keeps running locally on your machine
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RMUX: True multiplexer for agent-based workflows with dynamic panes
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3/ because RMUX is a true multiplexer first, you aren't just launching a fragile web wrapper. You get a real environment perfectly designed for modern, agent-based workflows. → Safely inspect long-running AI shells
→ Resize splits and manage panes dynamically
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Loop Engineering: Building Systems That Prompt Agents Instead
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A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING. The core shift: stop prompting the agent. Build the system that prompts it. Inside the autonomous loop: – Discover → Finds its own work (failing CI, open issues).
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CoffeeBench: Cooperation and Competition among LLM Agents
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In CoffeeBench, 6 agents interact via emails or transactions, each company aiming to maximize its profits. When the company where LLM agents manage operations arrives, how will cooperation, competition, and sometimes the
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Agent Swarms: Build Complex SaaS Apps with One Multi-LLM Prompt
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🚨 Agent Swarms – Build Complex SaaS Apps With One Prompt
— Abacus.AI (@abacusai) 26 juin 2026
Achieve fable like intelligence with a multi-LLM strategy
Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems
A master agent delegates tasks to worker agent. Each agent has… pic.twitter.com/e9I8d7MxsIAgent Swarms – Build Complex SaaS Apps With One Prompt Achieve fable like intelligence with a multi-LLM strategy Combine the best of Opus 4.8, GPT 5.5 and open source models and build end to end software systems A master agent delegates tasks to worker agent. Each agent has
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Integrating human creativity with AI for adaptable future work
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The shift isn't just about replacing human roles but evolving them. The real question is how we'll integrate human creativity with AI to create new opportunities. The future of work is about adaptability, not just automation
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Microsoft announces Skills for Copilot in Excel for finance
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Microsoft announced Skills for Copilot in Excel!
— 🚨 AI News | TestingCatalog (@testingcatalog) 26 juin 2026
> Today, we’re introducing new features built for financial professionals to continue doing that with skills for repeatable workflows, new financial connectors for trusted data, and improved capabilities for traceability.
We'll… https://t.co/UcuXHEQZQw pic.twitter.com/m3sjCBTli9Microsoft announced Skills for Copilot in Excel! > Today, we’re introducing new features built for financial professionals to continue doing that with skills for repeatable workflows, new financial connectors for trusted data, and improved capabilities for traceability. We'll
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Deep-research skill automatically fires on simple queries, wasting tokens
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I was excited to see the /deep-research skill ship in Claude Code until it started firing automatically on simple queries. Whoever built this skill clearly doesn't have token limits – holy moly!
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Agents capturing skills from painful sessions to avoid re-explaining
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Agents capturing what they figured out into a skill after a painful session is the loop I actually want, less re-explaining the same thing every week.