When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems
Not all AI scaling strategies are equal. Longer reasoning chains are not sign of higher intelligence. More compute isn’t always the answer.Read More
Here’s What Happened to Those SignalGate Messages
A lawsuit over the Trump administration’s infamous Houthi Signal group chat has revealed what steps departments took to preserve the messages—and how little they actually saved.
Explainable AI for ship navigation raises trust, decreases human error
A team has developed an explainable AI model for automatic collision avoidance between ships.
Programmable photonic chip uses light to accelerate AI training and cut energy use
Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.
Generating and Visualizing Context Vectors in Transformers
This post is divided into three parts; they are: • Understanding Context Vectors • Visualizing Context Vectors from Different Layers • Visualizing Attention Patterns Unlike traditional word embeddings (such as Word2Vec or GloVe), which assign a fixed vector to each word regardless of context, transformer models generate dynamic representations that depend on surrounding words.
5 Lessons Learned Building RAG Systems
Retrieval augmented generation (RAG) is one of 2025’s hot topics in the AI landscape.
Understanding RAG Part X: RAG Pipelines in Production
Be sure to check out the previous articles in this series: •
Understanding Aggregate Trends for Apple Intelligence Using Differential Privacy
At Apple, we believe privacy is a fundamental human right. And we believe in giving our users a great experience while protecting their privacy. For years, we’ve used techniques like differential privacy as part of our opt-in device analytics program. This lets us gain insights into how our products are used, so we can improve …
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Build multi-agent systems with LangGraph and Amazon Bedrock
Large language models (LLMs) have raised the bar for human-computer interaction where the expectation from users is that they can communicate with their applications through natural language. Beyond simple language understanding, real-world applications require managing complex workflows, connecting to external data, and coordinating multiple AI capabilities. Imagine scheduling a doctor’s appointment where an AI agent …
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Amex GBT puts AI at the center of SOC automation, threat modeling, incident response
Amex GBT CISO David Levin is accelerating AI security, cutting false positives and speeding SOC response to anticipate and shut down threats.Read More