What are AI tarpits? Understanding the tools people are using to poison LLMs

Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...
Devdiscourse

Agentic AI red teaming could become essential for securing future AI systems: Here's why

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

How To Design URL Structures For AI Retrieval, Not Just Rankings

URL structure has always been an important SEO factor to align relevancy, but now they can also influence AI retrieval. Learn ...

How Manifest Cuts AI Agent Token Costs by 70 Percent

Learn how Manifest reduces AI agent token costs by up to 70% using intelligent, low-latency model routing without requiring ...
Association for Psychological Science

How Should Psychologists Use AI and Big Data? Nine Guides Point the Way

As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...
IEEE

LLM-Driven Multi-Class Fraud Text Classification with Cross-Domain Sampling for Imbalanced Data

Abstract: To address the issue of class imbalance in the text classification task, in this paper, we propose a novel Large Language Model-based Cross-domain Sample Balancing Algorithm (LMCSB). The ...

Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production. Deploying an enterprise LLM feature without a gating offline evaluation ...
Forbes

LLM-As-A-Judge: What To Expect From Using AI To Evaluate AI

Jeffrey Ip is a former engineer who loves solving complex problems. He also cofounded Confident AI, a YC-backed startup. Every day, enterprise AI systems generate millions of responses that no human ...
Reuters

LLM Consensus Matches or Outperforms the Best AI Models in Expert Evaluation Without Performance Degradation

SHERIDAN, WY, April 2, 2026 (EZ Newswire) -- LLM Consensus has released the results of its Expert-Domain Evaluation Benchmark v1.0, an independent study analyzing the performance of its multi-model ...
CSOonline

Leak reveals Anthropic’s ‘Mythos,’ a powerful AI model aimed at cybersecurity use cases

The draft blog post describes a compute‑intensive LLM with advanced reasoning that Anthropic plans to roll out cautiously, starting with enterprise security teams. Anthropic didn’t intend to introduce ...
TechCrunch

Wikipedia cracks down on the use of AI in article writing

As AI makes inroads into the worlds of editorial and media, websites are scrambling to establish ground rules for its usage. This week, Wikipedia banned the use of AI-generated text by its editors — ...
TechSpot

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...