Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, ...

Critical RCE flaws, millions of exploit attempts, rogue AI agents, supply chain attacks, leaked keys, and more.

Correction and Apology] Regarding the re-verification of coding tests (October 26, 2026)In this article, I reported that I ...

A round two engineering report on brute force detection, a deployment that works, a GPU module that does not yet exist, and ...

We can now have AI write our code. But is your design robust enough to withstand changes without breaking?In workplaces where ...

GPT-6 COBOL migration hits 97.9% behavioral fidelity in OpenAI's latest benchmark, a 16-fold improvement over prior models, but enterprise IT teams should understand the gap between benchmark accuracy ...

Researchers at Emory University and Sandia National Laboratories have released a curated dataset of 77,890 OpenMP-annotated C ...

In an August 2026 interview on SAP News, Sonja Liénard, SAP’s head of the ABAP platform, described ABAP Cloud as the stable ...

Your CAD software generally has some rudimentary tools for rending images of your parts, from simply-textured models to more ...

Learn how to detect stereotypes in LLMs across embeddings, prompts, and generated text, with Python code, charts, and a reusable bias test harness.

Anyone who has even tangentially associated with computer programming knows that modern AI coding assistants and agents can be incredibly efficient at generating huge amounts of functional code. But ...

ThreatsDay: Malicious VS Code themes, npm supply-chain attacks, AI phishing, ransomware betrayal, exposed hacker tools, and ...