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
AUTOMATION
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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 -
Agent Swarms for Apps and Automations
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🚨 AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH ONE PROMPT
— Abacus.AI (@abacusai) 21 mai 2026
Combine Gemini 3.1 Pro, Opus 4.7 and GPT 5.5 to create complex multi-agent systems
Each agent excels at a particular task – coding, testing, mobile app, research and monitoring
Master agent orchestrates… pic.twitter.com/QGfgUPNT84AGENT SWARMS – BUILD COMPLEX APPS AND AUTOMATIONS WITH A SINGLE PROMPT Combine Gemini 3.1 Pro, Opus 4.7, and GPT 5.5 to create advanced multi-agent systems. Each agent specializes in a specific task—coding, testing, mobile app development, research, and monitoring. A master agent orchestrates the workflow.
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Railway’s agent-native cloud for AI coding agents
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🆕Railway's Agent-Native Cloud: 3M users, 100K signups/week, $200K+ coding agent spend, production forks, & the death of PRs https://t.co/kB3yqOWQm1@Railway founder @JustJake explains why AI agents need a new cloud, how Railway moved the vast majority of workloads onto its own… pic.twitter.com/WYa8RHxPTM
— Latent.Space (@latentspacepod) 20 mai 2026Railway's Agent-Native Cloud: 3M users, 100K signups/week, $200K+ coding agent spend, production forks, & the death of PRs https://
latent.space/p/railway @Railway founder @JustJake explains why AI agents need a new cloud, how Railway moved the vast majority of workloads onto its own -
AI Models Enhance Robot Control, Accelerating Robotics Adoption
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It is truly mind-blowing how capable Claude and Codex now are at configuring and controlling robots. My own experiments (with a lerobot 101) point to a fascinating new trend in robotics that could accelerate adoption. Many thanks to @Ken_Goldberg and @spencerhuang_ for their
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Using AI agents for autonomous market research and product development
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Me pretending to do work while my http://
rocket.new agent researches the market, builds the app, optimizes it, and watches competitors 24/7. Most AI tools help you write code. Rocket does the whole loop: Research what people actually want, build the product, deploy it, -
Active Graphs: A New Approach to Agent Architecture
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we've been building agents around the llm, starting with conversations, adding tools, giving rules, logging everything, and storing a form of it as retrievable state
— Yohei (@yoheinakajima) 20 mai 2026
Active Graphs flips this. what if we treated the logs as the agent, which include rules provided (and changed),… https://t.co/RLpP6SOynQwe've been building agents around the llm, starting with conversations, adding tools, giving rules, logging everything, and storing a form of it as retrievable state Active Graphs flips this. what if we treated the logs as the agent, which include rules provided (and changed),