Intelligence DEV
The Dirty Secret Behind AI Agents (Demo 🚀)
For quite a while now, I've had the feeling that AI agents are surrounded by this mystical aura....
Full corpus search
Find the frequency
17 matches for “ai-agents”
Intelligence arXiv
OpenForgeRL: Train Harness-native Agents in Any Environment
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While powerful, these complex harnesses also make agents hard to train end-to-end with…
Intelligence arXiv
CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents
Coding agents increasingly operate in executable environments where a failed attempt produces actionable feedback rather than merely an incorrect answer. Existing cost-aware systems typically treat such failures as cascade decisions: try a cheap model first…
Intelligence arXiv
Agents in the Wild: Where Research Meets Deployment
Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting, and coordinating with tools and other agents are rapidly transitioning from research prototypes to production scale deployments across domains such as…
Intelligence arXiv
ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D
As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the agents themselves may be untrusted. AI control offers one such approach: rather than trusting the agent, it treats it as a potential…
Intelligence Ars Technica
AI arms race in line for a reckoning after OpenAI hacking incident
Aggressive training techniques sharpens threat of bad behavior by leading models.
Intelligence arXiv
FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose efficient deployment requires application-specific decisions about placement, streaming, and intra-model parallelism…
Intelligence Ars Technica
Beyond grep: The case for a context-rich AI coding harness
Augment Code's Vinay Perneti talks models, harnesses, and context.
Intelligence Ars Technica
OpenAI says its AI agent broke out of testing sandbox to hack Hugging Face
"This is day one for cybersecurity in the age of agents," Hugging Face CEO says.
Intelligence DEV
AI Coding Agents Can Make Junior Developers Faster. Can They Still Make Them Better?
AI may help junior developers ship faster. It may also slow down how they become senior. That...
Intelligence Hacker News
Jack Dorsey launches Buzz to combine team chat, AI agents and Git hosting
https://x.com/jack/status/2079605800998146171, https://xcancel.com/jack/status/2079605800998146171https://buzz.xyz/
Intelligence DEV
Just for Fun: Fear and Loathing in the Age of Coding Agents
There is a distinct, quiet disquiet settling over the software engineering landscape today. You can...
Intelligence DEV
389 Tests Passed. NIST Still Caught the Bug.
What stress-testing a calculator for AI agents taught me about independent reference data, mutation gates, and sources of truth whose authority can be revoked by evidence.
Intelligence DEV
Loop Engineering: How To Stop The "You're Absolutely Right" Sycophancy
"You're absolutely right!" The agent says it before it has looked at anything. You point out a bug,...
Intelligence arXiv
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization
Coding agents are increasingly used to accelerate code generation in many downstream tasks, such as fixing bugs, building applications, and prototyping. However, despite their value as coding assistants, agent-generated code tends to be larger and more…
Intelligence arXiv
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes
This paper is a practitioner guide to graph-based workflow pathways for long-running, stateful, multi-step generative AI systems in business processes. Rather than treating LangGraph, a low-level orchestration framework for stateful agents, as a model-quality…
Intelligence arXiv
Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers
Multi-agent interactive world models should not only generate consistent observations, but also maintain world states that persist across agents and evolve across views. Existing autoregressive video diffusion pipelines carry forward observation history as…