Tagged articles

safety boundaries

4 articles · Page 1 of 1

Oct 6, 2026 · Industry Insights

AI in Chemicals: Why PID Autonomous Control Trumps Molecule Discovery

This article analyzes two distinct AI paths in chemical engineering—formula R&D for new materials and process control for optimizing existing plants—highlighting that the critical frontier is PID autonomous decision-making, not molecule discovery, and provides a framework for evaluating AI projects through data comparability, control handover stages, and lab-to-production gaps.

AI in chemical engineeringIndustrial AIPID autonomous decision-making

0 likes · 21 min read

AI in Chemicals: Why PID Autonomous Control Trumps Molecule Discovery

Random Bulletin

Sep 18, 2026 · Operations

Fault Drills at 10M QPS: From Zero to Regular Cadence

This article explains how to evolve fault drills from one-off exercises into a regular engineering practice, covering risk mapping, safety boundaries, Game Day execution, metrics, scenario libraries, and integrating remediation into daily workflows for high-QPS systems.

Game DaySREchaos engineering

0 likes · 31 min read

Fault Drills at 10M QPS: From Zero to Regular Cadence

DataFunSummit

Jun 23, 2026 · Artificial Intelligence

How to Engineer Trustworthy AI Agents: Execution Control, Safety Boundaries, and Multi‑Agent Collaboration

In a 90‑minute live technical dialogue, experts from OPPO and Tencent Cloud dissect ten core challenges of moving AI agents from demo to production—covering sandbox vs. permission boundaries, checkpoint design, rollback strategies, tool‑call safety, human‑in‑the‑loop control, multi‑agent coordination, and observability—offering concrete engineering guidelines for building reliable, auditable agents.

AI Agent EngineeringCheckpoint DesignRollback Strategies

0 likes · 18 min read

How to Engineer Trustworthy AI Agents: Execution Control, Safety Boundaries, and Multi‑Agent Collaboration

DataFunSummit

Jun 7, 2026 · Artificial Intelligence

Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design

In a 90‑minute technical livestream, three experts dissect ten core challenges of bringing AI agents from demo to production, covering execution control, sandbox versus permission boundaries, checkpoint design, rollback strategies, tool‑call safety, human‑in‑the‑loop interaction, multi‑agent coordination, observability, and memory management.

Agent EngineeringCheckpointhuman-in-the-loop

0 likes · 17 min read

Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design