Implementing Permission-Gated Tool Calling in Python Agents
AI agents have evolved beyond passive chatbots.
Artificial Intelligence
Explore the rapidly evolving world of artificial intelligence, machine learning, and automation. From AI ethics to real-world applications, this category delivers insights that matter for today and tomorrow.
The Roadmap to Mastering Tool Calling in AI Agents
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Implementing Statistical Guardrails for Non-Deterministic Agents
Non-deterministic agents are those where the same input can lead to distinct outputs across multiple runs.
A blueprint for using AI to strengthen democracy
Every few centuries, changes in how information moves reshape how societies govern themselves. The printing press spread vernacular literacy, helping give rise to the Reformation and, eventually, representative government. The telegraph made it possible to administer vast nations like the…
Week one of the Musk v. Altman trial: What it was like in the room
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Two of the most powerful people in AI—Sam Altman and Elon Musk—began their face-off in court in…
Agentic RAG Explained in 3 Levels of Difficulty
Traditional
Musk v. Altman week 1: Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI’s models
In the first week of the landmark trial between Elon Musk and OpenAI, Musk took the stand in a crisp black suit and tie and argued that OpenAI CEO Sam Altman and president Greg Brockman had deceived him into bankrolling…
Cyber-Insecurity in the AI Era
Cybersecurity was already under strain before AI entered the stack. Now, as AI expands the attack surface and adds new complexity, the limits of legacy approaches are becoming harder to ignore. This session from MIT Technology Review’s EmTech AI conference…
Operationalizing AI for Scale and Sovereignty
Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech…
This startup’s new mechanistic interpretability tool lets you debug LLMs
The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained…