Articles
In-depth research, comprehensive guides, and long-form thoughts on modern technology.
Common Pitfalls in Building Generative AI Applications
From treating AI as a universal solution to underestimating product challenges, developers make common mistakes that can derail generative AI projects.
PIRAMID: Building Scientific Foundations for Mechanistic Interpretability
PIRAMID uses the tools of statistical physics to create a scientific, theory-driven approach to mechanistic interpretability, aiming for faithful and scalable AI transparency.
Hand-Coding Weights for Sequence Memorization: A Mechanistic Interpretability Challenge
Researchers show that while hand-coded models can memorize sequences, they fall short of trained models, revealing gaps in our understanding of how neural networks store facts.
Loop Engineering: The Shift from Prompting to Designing Autonomous AI
Loop engineering transforms AI development by designing autonomous cycles that prompt models, execute actions, and verify results without constant human supervision.
Stateful vs. Stateless Agent Design: Tradeoffs for Scalable Agentic Systems
Stateful agents manage their own memory through a database layer, while stateless agents depend on clients to supply conversation history. Here's how to choose.
A Complete Guide to AI Red-Teaming With Garak
Garak is an open-source LLM vulnerability scanner that probes for hallucinations, data leakage, prompt injection, and jailbreaks—here's how to use it.
GraphEval: Using Knowledge Graphs to Detect LLM Hallucinations with Precision
GraphEval uses knowledge graphs and Natural Language Inference to detect and localize hallucinations in LLM outputs, offering explainable error diagnosis.
ByteDance Astra: A Dual-Model Architecture for Autonomous Robot Navigation
ByteDance's Astra dual-model architecture tackles the classic robot questions—where am I, where am I going, and how do I get there—with 99.9% accuracy.
Aurora 1.5 Expands Open Weather Foundation Model with Hourly and Ensemble Forecasting
Microsoft's open-source Aurora 1.5 adds 22 weather variables, hourly resolution, and probabilistic ensemble forecasting, outperforming ECMWF on 88.9% of evaluated targets.
Microsoft Verifies Rust Cryptography in SymCrypt Using Lean and AI Agents
Microsoft's SymCrypt library now includes machine-checked proofs for ML-KEM and SHA3, using Rust for safety, Lean for verification, and AI agents to accelerate proof generation.
News Organizations Embed AI Across Reporting, Product, and Business Workflows
Major publishers from AP to Le Monde are deploying OpenAI-powered tools for verification, translation, audience engagement, and business intelligence, reshaping newsroom operations.
LLM Agents Show Framing Bias Even When Game Payoffs Stay Identical
A new benchmark reveals that LLMs like GPT-4 and LLaMa-2 shift cooperation rates by up to 30% when the same social dilemma is framed as business versus friendship, despite identical payoffs.