AI

Build an end-to-end Request for Information (RFI) questionnaire workflow using Amazon Quick Automate to solve a challenge organizations face at every scale. A typical enterprise might handle hundreds of RFI questionnaires each year, and each arrives as a complex, multi-tab workbook packed with hierarchical question sets, category metadata, and varied response types. The volume, variety, […]

A configurable, instruction-driven detector that runs on any large language model (LLM) managed on Amazon Bedrock, evaluated on five public PII corpora across nine LLM-based detectors, including the OpenAI PrivacyFilter. Fine-tuning a model on real-world text creates a personally identifiable information (PII) detection problem. Training corpora are full of PII: names, home addresses, email and

Multi-turn agents fail in ways that single-turn evaluation misses: one early mistake quietly corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality. We apply it to its first dimension, correctness. We show how AEM pinpoints the one turn that caused a failure and separates

This post is co-written with Petra Lafond, Product Manager, and Maarten Cardinaels, Tech Lead at AvioBook, a Thales Group Company. Airlines run on tight, cascading schedules, and accessing operational data holds the key to protecting them. During turnarounds, a few minutes of delay at one gate can ripple through an entire day of connections. It

When iOS 27 arrives, it will bring with it a fully revamped assistant for your iPhone.

When iOS 27 arrives, it will bring with it a fully revamped assistant for your iPhone.

InquiryIQ, a previously unreported prototype, tested a model from xAI, maker of Grok, to surface associates, social accounts, and other information about people identified through Clearview.

On August 12, 2026, Alibaba’s Qwen team released Qwen3.8-2.4T-A95B. This is the first time a Qwen-Max-class model has been made available as open weights. With 2.4 trillion total parameters (95 billion activated per token), a hybrid linear-plus-full-attention architecture, and native context up to 262K tokens (extensible to 1M), Qwen3.8 targets the most demanding agentic and

Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.

The City Attorney’s Office has asked Meta to explain how the harmful ads repeatedly ran on Facebook and Instagram. The company claims the ads are not under the city’s jurisdiction.