Loop Engineering

The platform applies Nvidia’s expertise in autonomous vehicle safety to physical AI.

Boris Cherny argues that the industry's future belongs to loop engineering—a paradigm where AI agents autonomously generate and iterate on their own prompts

Perplexity has launched Brain, a self-improving memory system for its Computer agent. Instead of remembering the user, Brain remembers the agent's work — what worked, what failed, and what corrections got made. It builds a traceable context graph, reviews it overnight, and reports early gains in correctness, recall, and cost. The post Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight appeared first on MarkTechPost.

Artificial intelligence can make the system safer, surfacing insights not seen with traditional metrics.

Insider Brief One of artificial intelligence’s longest-running challenges is building systems that can improve both how they operate and what they know without requiring constant human intervention. A research team now reports that a new approach could shatter that bottleneck. In a study published on the preprint server arXiv, researchers at Palo Alto-based Hexo Labs […]

Salesforce has agreed to acquire AI customer service platform Fin, formerly known as Intercom, for $3.6 billion, with the deal expected to close in early 2027. Fin offers an AI agent that resolves customer queries across live chat, WhatsApp, SMS, phone, Slack, and other channels. Salesforce said it intends to integrate Fin’s technology and team […]

How local optimization in last‑mile delivery can quietly break the system The post The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem appeared first on Towards Data Science.

Modern AI systems have evolved beyond the simple chatbots that quickly became popular. Now they use semantic tools to manage workflows and link machines to machines, providing a flexible and effective framework for the next generation of business automation. What you used to build in Microsoft’s Power Platform or construct inside Biztalk is now an agent, built around large language models (LLMs) that can parse both your data and the APIs that you want to use your data with, orchestrating workflows with a level of autonomy that traditional tooling can’t match. That shift has offered new opportunities, much like those that came with business platforms like Microsoft Dynamics and Salesforce. Here, tools built to solve one set of business problems could be turned into applications that could be sold to other companies. What worked for you to solve one of your problems could now be an added revenue stream, sold through platform marketplaces that helped customers manage installations and cus