AI agents are quickly moving from “future concept” to real-world business advantage From automating customer support workflows to streamlining reporting, inventory management and operational tasks, businesses are beginning to unlock new levels of efficiency through agentic
AUTOMATION
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Qwen 3.7 Max achieves 10x speedup in autonomous 35-hour run
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Alibaba released Qwen 3.7 max. Benchmarks incredible. Their new model ran autonomously for 35 hours, made 1,158 tool calls, and achieved a 10x speedup – on a single attention kernel. This isn't "AI improving itself across the board." It's a model grinding through
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Streamlined AI Agent Deployment: Init to Live Endpoint
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One config file. One deploy command. Everything else is managed. deepagents init → deepagents deploy → live endpoint. Full breakdown here
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Managed Harness for AI Agents: Deepagents, Model-Agnostic, One-Line Deploy
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A managed harness: Built on the `deepagents` harness Durable execution out of the box Model-agnostic One-line deploy- no Dockerfile, no infra glue
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Managed Deep Agents Private Beta Launched for AI Infrastructure
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Managed Deep Agents is now in Private Beta ICYMI: It’s managed, model-agnostic infra for deep agents you can deploy with a single line of code. A quick thread on what you get out of the box
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The Shift from Model-Centric to Control-Plane AI
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AI maturity is no longer measured by how many copilots a company has deployed. It is measured by whether AI can operate inside real workflows with: Identity Policy Workflow Audit The market is moving from model-centric AI to control-plane AI. More demos will not
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AI Agents Learning Users Instead of Users Learning Systems
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For 50 years, software made us do the work.
— Pascal Bornet (@pascal_bornet) 21 mai 2026
→ Click here
→ Open that menu
→ Find the right setting
→ Try not to get lost
Now AI is starting to flip that.
Instead of us learning the system, the system starts learning us.
Say what you want. Give the context. The agent… pic.twitter.com/Rh5IroVTQFFor 50 years, software made us do the work. → Click here
→ Open that menu
→ Find the right setting
→ Try not to get lost Now AI is starting to flip that. Instead of us learning the system, the system starts learning us. Say what you want. Give the context. The agent -
AutoResearchClaw: Autonomous AI Research with Collaboration
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AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration As real-world science is iterative, this paper introduces AutoResearchClaw, a multi-agent system that debates ideas, self-corrects experiments, decides whether to pivot or refine, verifies data, and
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Gemini 3.5 Flash Tops Automation Benchmark
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Gemini 3.5 Flash ranks first on the Automation Bench (by Zapier), outperforming all other leading models at a significantly lower cost.
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AI robot swarms target wounds with light
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Living #Robot swarms built from algae can split, merge, and target wounds with light
by Neetika Walter @IntEngineering Learn more: https://
bit.ly/4nvWBZ0 #MedTech #Healthcare #HealthTech #Tech #TechForGood