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 ...
MUO on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...

How LLMs Cite Media Content: What Marketing & Comms Pros Should Know

Jodi Amendola is EVP of Platform Growth at Supreme Group, a next-gen marketing and communications platform for healthcare and ...
AndroidPIMP

SpacemiT K3 Pico-ITX Review: 60-TOPS RISC-V Powerhouse for LLMs?

SpacemiT K3 challenges Nvidia Jetson with 60-TOPS AI performance. Explore the new Pico-ITX and CoM260 developer kits for RISC ...
Edhat

Yuheng Bu seeks a better way to ensure the trustworthiness of AI-generated text

UC Santa Barbara’s Robert Mehrabian College of Engineering, Yuheng Bu, assistant professor in the Computer Science Department ...
Semiconductor Engineering

Why Vision LLMs Force A Rethink Of Edge AI Hardware

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...
VentureBeat

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a ...
The New York Times

Decoding the A.I. Beliefs of Anthropic and Its C.E.O., Dario Amodei

The company is at odds with the Pentagon over how its A.I. will be used. The conflict has its roots in the foundational plan for Anthropic. By Cade Metz Reporting from San Francisco The Defense ...
GitHub

Steganographic data encoding in natural language using LLM logit-rank steering

subtext-codec is a proof-of-concept codec that hides arbitrary binary data inside seemingly normal LLM-generated text. It steers a language model's next-token choices using the rank of each token in ...
VentureBeat

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...