AI Agents

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AI agents now have their own Reddit-style social network, and it’s getting weird fast

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI behavior, AI consciousness, AI Ethics, AI security, anthropic, Artificial Intelligence, Biz & IT, Machine Learning, Moltbook, Moltbot, Open Source, OpenClaw, Peter Steinberger, prompt injection, Social media

On Friday, a Reddit-style social network called Moltbook reportedly crossed 32,000 registered AI agent users, creating what may be the largest-scale experiment in machine-to-machine social interaction yet devised. It arrives complete with security nightmares and a huge dose of surreal weirdness. The platform, which launched days ago as a companion to the viral OpenClaw (once […]

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Developers say AI coding tools work—and that’s precisely what worries them

ai, AI (Artificial Intelligence), AI Agents, AI and work, AI coding, anthropic, Artificial Intelligence, Biz & IT, claude, Claude Code, GitHub Copilot, Large Language Models, Machine Learning, Microsoft, OpenAI, openai codex, Programming, software development, vibe coding

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools like Anthropic’s Claude Code and OpenAI’s Codex can now work on software projects for hours at a time, writing code, running tests, and, with

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Why Most Agentic AI Projects Fail Before They Even Launch

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI APIs, AI Automation, AI engineering, AI Infrastructure, AI Integration, Artificial Intelligence, digital transformation, Enterprise AI, Enterprise Automation, Enterprise IT, Enterprise Software, Enterprise Technology, Generative AI, LLM Limitations, Software engineering, Spritle Blog, SpritleSoftware, workflow automation

AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models

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Beyond the Chatbox: Generative UI, AG-UI, and the Stack Behind Agent-Driven Interfaces

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Most AI applications still showcase the model as a chat box. That interface is simple, but it hides what agents are actually doing, such as planning steps, calling tools, and updating state. Generative UI is about letting the agent drive real interface elements, for example tables, charts, forms, and progress indicators, so the experience feels

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Human prosperity in the age of AI

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Throughout history, the ambition of technological advancement has always been driven by the pursuit of human prosperity. But with AI, we are approaching a pivotal gut check to live up to this promise for the next generation. In my role as CTO at SAS, I talk with a lot of […] The post Human prosperity

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How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations

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In this tutorial, we implement a dual-agent governance system that applies Constitutional AI principles to financial operations. We demonstrate how we separate execution and oversight by pairing a Worker Agent that performs financial actions with an Auditor Agent that enforces policy, safety, and compliance. By encoding governance rules directly into a formal constitution and combining

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Users flock to open source Moltbot for always-on AI, despite major risks

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI assistants, AI security, AI sycophancy, anthropic, Artificial Intelligence, Biz & IT, chatbots, Machine Learning, Open Source, Peter Steinberger

An open source AI assistant called Moltbot (formerly “Clawdbot”) recently crossed 69,000 stars on GitHub after a month, making it one of the fastest-growing AI projects of 2026. Created by Austrian developer Peter Steinberger, the tool lets users run a personal AI assistant and control it through messaging apps they already use. While some say

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Moonshot AI Releases Kimi K2.5: An Open Source Visual Agentic Intelligence Model with Native Swarm Execution

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Moonshot AI has released Kimi K2.5 as an open source visual agentic intelligence model. It combines a large Mixture of Experts language backbone, a native vision encoder, and a parallel multi agent system called Agent Swarm. The model targets coding, multimodal reasoning, and deep web research with strong benchmark results on agentic, vision, and coding

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DSGym Offers a Reusable Container Based Substrate for Building and Benchmarking Data Science Agents

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Data science agents should inspect datasets, design workflows, run code, and return verifiable answers, not just autocomplete Pandas code. DSGym, introduced by researchers from Stanford University, Together AI, Duke University, and Harvard University, is a framework that evaluates and trains such agents across more than 1,000 data science challenges with expert curated ground truth and

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How a Haystack-Powered Multi-Agent System Detects Incidents, Investigates Metrics and Logs, and Produces Production-Grade Incident Reviews End-to-End

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In this tutorial, we design this implementation to demonstrate how Haystack enables building advanced, agentic AI systems that go far beyond toy examples while remaining fully runnable. We focus on a cohesive, end-to-end setup that highlights orchestration, stateful decision-making, tool execution, and structured control flow, demonstrating how complex agent behavior can be cleanly expressed. We

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