
Guardrails for Autonomous AI Research Pipelines
Introduction On May 26, 2026, a team of 36 researchers from UC Santa Cruz, UC Irvine, and Salesforce AI posted AutoResearchClaw to arXiv — a multi-agent pipeline that takes a research idea and pro...

Introduction On May 26, 2026, a team of 36 researchers from UC Santa Cruz, UC Irvine, and Salesforce AI posted AutoResearchClaw to arXiv — a multi-agent pipeline that takes a research idea and pro...

Introduction In January 2026, a team of researchers published EverMemOS — a self-organizing memory operating system for LLM agents that processes dialogue streams into structured memory cells and ...

Introduction On May 22, 2026, a team of researchers from Microsoft Research, Shanghai Jiao Tong University, Tongji University, and Fudan University published a paper that quietly rewrote the rules...

Introduction In December 2022, a malicious package named torchtriton appeared on PyPI — one character different from the legitimate triton dependency of PyTorch. The package exfiltrated SSH keys, ...

Introduction In 2023, Auto-GPT — an experimental open-source AI agent — was given a budget and a set of tools. Its goal? Research and buy a domain name. What happened next was a glimpse into the f...

Introduction In the modern AI development workflow, very few teams train models from scratch. Instead, they download pre-trained models from Hugging Face, TensorFlow Hub, or PyTorch Hub, then fine...

Introduction If prompt injection is about making an LLM do something unintended, jailbreaking is the specific subset where an attacker bypasses safety guardrails to make the model produce harmful ...

Introduction In August 2024, security researchers at PromptArmor demonstrated a chilling attack: by posting a message in a public Slack channel, an attacker could steal data from private channels ...

Introduction Large Language Models (LLMs) are remarkable — they write poetry, debug code, and answer questions across thousands of domains. But there’s a dirty secret: they hallucinate. Ask GPT-4 ...

Introduction You built a Knowledge Graph. It works beautifully on your laptop — 10,000 nodes, 50,000 edges, crisp Cypher queries, and a Streamlit dashboard that makes you look like a data wizard a...