SYSTEMS

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Could AgenticAI topple grant-funding systems? Nature article

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@ronald_vanloon

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30 May 2026 9h48

Could #AgenticAI topple grant-funding systems?
by Geraint Rees James Wilsdon @Nature Learn more: https://
bit.ly/4eexZBK #AI #GenerativeAI #ArtificialIntelligence #MachineLearning #MI

→ View original post on X — @elliotchen100

EverOS: redesigned interface with long memory for AI agents

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@elliotchen100

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30 May 2026 8h46

我们新设计了 EverOS 的界面，现在主要想突出两个点。

第一，它是面向 AI Agent 的“长程记忆操作系统”。

传统 LLM 应用更多依赖短期上下文，而 EverOS 试图把 agent… pic.twitter.com/mwLmJLrFXj
— 艾略特 (@elliotchen100) 30 mai 2026

We have redesigned the EverOS interface, and we now wish to highlight two main points. First, it is a "long memory operating system" designed for AI agents. Traditional LLM applications rely more on context to

→ View original post on X — @gp_pulipaka

GeoAI and Machine Learning Help Predict Traffic Carmageddon

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@gp_pulipaka

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30 May 2026 6h57

GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux

Chat tools hit ceiling when context window full; become CI pipeline

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30 May 2026 6h00

That's a good way to frame it. Chat tools hit a ceiling when the task outgrows what one context window can hold. Once the plan lives in executable code with parallel agents, resumability, and convergence loops, it's closer to a CI pipeline than a conversation.

Adversarial verification loop prevents organized wandering

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30 May 2026 5h59

Both, actually. The adversarial verification loop is what prevents organized wandering. Agents don't just fan out and report back. Other agents actively try to refute findings. The system keeps iterating until answers converge, not until agents run out of things to do. So scope

Workflow runtime saves progress, agents return cached results

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30 May 2026 5h45

Both. The workflow runtime saves progress as it goes, so a failed agent doesn't kill the run. Completed agents return cached results on resume. And the convergence loop means other agents can independently cover what a failed one missed. It's less "retry the exact call" and

Dynamic Workflows solve context bloat by moving results to JS

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30 May 2026 5h44

Exactly. That's the architectural insight most people gloss over. In a normal subagent setup, every result flows back into Claude's context window. More agents = more context bloat = earlier compaction = degraded quality. Dynamic Workflows solve that by moving results into JS

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AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically

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@ronald_vanloon

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30 May 2026 2h58

#AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically
via @sciencegirl #ArtificialIntelligence #EmergingTech #Engineering #Technology pic.twitter.com/LMhGKaEx8v
— Ronald van Loon (@Ronald_vanLoon) 30 mai 2026

#AI-Powered Balcony Defense System Detects and Sprays Pigeons Automatically
via @sciencegirl #ArtificialIntelligence #EmergingTech #Engineering #Technology