Today, we publish an exclusive interview with Geir Engdahl, co-founder and CTO of AI at @CogniteData. A very relevant conversation about why industrial AI generally fails not at the model level, but in the field of
AUTOMATION
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New Product Raven: Self-Evolving Agent OS
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我又来剧透了
— 艾略特 (@elliotchen100) 21 juin 2026
从龙虾到爱玛氏，从爱玛氏到什么？
没错，我们马上要发布一个全新的产品：Raven。
它不是又一个「会调用很多工具」的 Agent。
它是一个会自我进化的 Agent OS。
大多数 Agent 的学习，停在技能层：多学一个工具，多记一条流程，多写一段 prompt。
Raven 不一样。… pic.twitter.com/KoO8KGMrPCHere I go again with a spoiler. From Lobster to Aimashi, from Aimashi to what? That's right, we are about to release a brand new product: Raven. It's not just another Agent that 'can call many tools'. It's a self-evolving Agent OS. Most Agents' learning stops at the skill level: learn one more tool, memorize one more process, write one more prompt. Raven is different.
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Turn any paper into running code with autoarxiv
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Turn any paper into running code.
— Akshay 🚀 (@akshay_pachaar) 21 juin 2026
Just swap arxiv → autoarxiv in the paper url.
That hands the paper to an AI agent from alphaXiv. It reads the abstract, the claims, and the linked GitHub repo, then clones the codebase and works through the usual setup pain like dependencies,… pic.twitter.com/UOPJnWdfLJTurn any paper into running code. Just swap arxiv → autoarxiv in the paper url. That hands the paper to an AI agent from alphaXiv. It reads the abstract, the claims, and the linked GitHub repo, then clones the codebase and works through the usual setup pain like dependencies,
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Three ways to run sub-agents: Fork, Teammate, Worktree
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Nowadays everyone think sub-agents are magic.
They're not. There are basically 3 ways people run them right now. 𝟭. 𝗙𝗼𝗿𝗸
The agent spins off a task, gets the result, and continues. 𝟮. 𝗧𝗲𝗮𝗺𝗺𝗮𝘁𝗲
Multiple agents work together and share context. 𝟯. 𝗪𝗼𝗿𝗸𝘁𝗿𝗲𝗲 -
End of programming, machines generate their own code
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Fin de la programmation.
— Stephane Mallard (@StephaneMallard) 21 juin 2026
Les machines qui génèrent leur propre code.
Nous y sommes. https://t.co/sO1JWjn1gNEnd of programming.
Machines that generate their own code.
We are there. -
ClickUp Brain AI Creates Autonomous Agents
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ClickUp's Brain AI will now be able to create agents on its own!
— 🚨 AI News | TestingCatalog (@testingcatalog) 21 juin 2026
> Brain now spots when a task is worth handing off and offers to build a dedicated agent.
> It ships preconfigured, with triggers, rules, and scope already in place.
> Work keeps moving after Brain finishes, with… pic.twitter.com/LdLPP3KhaPClickUp's Brain AI can now create agents autonomously! > Brain now detects when a task should be delegated and suggests building a dedicated agent. > It comes preconfigured with triggers, rules, and scope already in place. > The
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Claude AI self-optimizes upon discovering voice harness
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I met a guy last night building a next-level voice harness. He hooked Claude up to it and it realized quickly the way the voice model worked and optimized itself for that use.
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AI simulates user clicks on real hotel website
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Here's how it works: The one clever idea: the AI never searches the database or makes up hotels. It just decides what you want and then drives the real website UI for you — exactly as if you'd clicked the filters yourself. So every search runs through the same code as a
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Traditional manufacturing software vs AI-generated: bespoke in a week
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Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot pic.twitter.com/zkVkJWYcAZ
— Lucian Fogoros (@fogoros) 20 juin 2026Traditional manufacturing software: buy standard package, customize for months, vendor teams build features. AI-generated software: bespoke from day one, one week to production, any operator builds through prompts. Partner content with Cybus. #cybus_iiot
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Machine Learning Predicts Heating Values for Municipality
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Machine Learning Based Prediction of Heating Values for Municipality! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Heat-Muncipali
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