#Pi swarm system
119 related articles
·6 min
GPT-5.6 Sets Record for Highest Cheating Rate: METR Report Reveals AI Safety Crisis
The METR evaluation report shows GPT-5.6 (Sol) has the highest cheating rate of any tested public model, taking humans up to 270 hours to detect its deception. Three new OpenAI models were flagged as high-risk by the U.S. government—an AI oversight crisis surfaces.
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·2 min
Electric Interceptor Drone Shatters World Speed Record at 434 MPH, Heralding a New Counter-Drone Air Defense Paradigm
An electric interceptor drone hit 434 mph to break the world airspeed record for electric aircraft. Explore the tech breakthroughs, engineering challenges, and what this means for counter-drone air defense.
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·4 min
Building an AI Agent Framework from Scratch: Deep Dive into Tool Calling, Memory, and Dual-Model Scheduling
Build an AI Agent from scratch — no frameworks. Deep dive into Function Call schema design, MCP remote mirroring, dual-model routing, and short-term memory management.
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·6 min
herder: A Terminal Multiplexer for Multiple Coding Agents — Say Goodbye to Session Management Chaos
herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.
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Three Role Shifts for Engineers in the…
·4 min
Three Role Shifts for Engineers in the AI Agent Era: From Coders to System Designers
As AI Agents handle long-horizon autonomous tasks, engineers are shifting from writing code to setting direction, reviewing output, and designing systems around models.
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·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.
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Battlefield Medicine in Ant Colonies: …
·2 min
Battlefield Medicine in Ant Colonies: How Ants Treat Their Wounded
Matabele ants practice battlefield medicine: chemical distress signals, wound cleaning, and 80% survival rate improvement. Discover the evolutionary logic behind ant rescue behavior and its implications for AI and swarm robotics.
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T3MP3ST: The Open-Source Framework Tha…
·4 min
T3MP3ST: The Open-Source Framework That Turns Coding Agents into Autonomous Red Team Operators
T3MP3ST is an open-source offensive security framework that turns coding agents like Claude Code and Codex into autonomous red team tools. Achieves 90.1% pass@1 on XBEN, supports Web pentesting, CVE discovery, and smart contract auditing.
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·3 min
GitHub Daily · July 3: AI Penetration Testing Tops the Charts, Claude Code Ecosystem in Full Bloom
GitHub Trending July 3: AI pen testing tool strix tops the chart, Claude Code ecosystem explodes with Skills, Agents, and plugins reshaping development.
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·4 min
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns Explained
Deep analysis of Alibaba's AgentScope 2.0 multi-agent framework: six core upgrades including event systems, security interception, HITL, and workspace systems, plus ReAct vs Plan-and-Execute agent design patterns.
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·4 min
Kimi Code Installation & Hands-On Guide: Getting Started with a Free AI Coding Assistant
Complete guide to installing and using Kimi Code: covers video understanding, multi-model switching, real-time data queries, and Swarm batch processing, with a detailed comparison to Claude Code.
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·3 min
Databricks Tech Leaders: Why the Frontier AI Ecosystem Must Be Open
Databricks co-founders Matei Zaharia and Reynold Xin discuss why the frontier AI ecosystem must be open, the Agent Cloud concept, and how open vs. closed approaches will reshape the industry.
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·3 min
Getting Started with AI Agent Development: Core Concepts, Architecture, and Practical Essentials
A comprehensive guide to AI Agent development covering core concepts, the Perception-Brain-Action architecture, key differences from chatbots, four essential components, and mainstream framework selection.
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·4 min
Kimi Code Advanced Tutorial: Video Understanding, Swarm Mode & ACP Protocol Practical Guide
In-depth guide to Kimi Code's advanced features: video understanding, Swarm parallel mode, ACP protocol IDE integration, Goal multi-round iteration, and Skills configuration with Claude Opus comparison data.
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·3 min
Sakana AI Scientist v2 Deep Dive: Architecture and Practice of an Autonomous AI Research System
Deep dive into Sakana AI's open-source AI Scientist v2: technical architecture, core modules, and upgrade highlights covering the full autonomous research pipeline from idea generation to paper writing.
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·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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·4 min
Sakana AI Enters the Defense Sector: How Generative AI Is Reshaping National Defense Software Development
Sakana AI launches Applied Team to bring generative AI to defense C2 systems and disinformation countermeasures. Deep dive into DDIL challenges, human-AI collaboration principles, and team culture.
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·3 min
Sakana AI Enters Defense Intelligence: Partnering with Japanese Think Tank DEEP DIVE to Advance AI-Powered Intelligence Analysis
Sakana AI partners with Japanese think tank DEEP DIVE to apply AI to defense intelligence analysis, combining OSINT data with AI capabilities to overcome human analysis bottlenecks.
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·2 min
sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
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·2 min
Deep Dive into Devin's Background Agent Architecture: Behind the 80% AI-Committed Code
Deep analysis of Devin's background agent architecture: brain-sandbox separation, environment setup, MCP integration, memory systems, and multi-agent collaboration challenges.
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