The Hidden AI Cost Few Leaders Track: How Typos Inflate Your LLM Spend

It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...
ExchangeWire

How Can Brands Become Visible in the New Era of LLM Search?

“Most businesses are going to have keywords or targets within their campaigns that are focused on their own value ...
Security Boulevard

Peek-A-Boo! Emoji Smuggling and Modern LLMs – FireTail Blog

Jan 09, 2026 - Viktor Markopoulos - We often trust what we see. In cybersecurity, we are trained to look for suspicious links, strange file extensions, or garbled code. But what if the threat looked ...
HotHardware

NVIDIA Boosts DGX Spark Performance And Pushes New Developer Tools at CES 2026

If you haven't heard of NVIDIA's DGX Spark AI developer workstation, maybe you've been living under a rock or on a deserted island with nothing but a volleyball to keep you company. It's one of the ...
Semiconductor Engineering

Impact Of On-Chip SRAM Size And Frequency On Energy Efficiency And Performance of LLM Inference (Uppsala Univ.)

A new technical paper titled “Prefill vs. Decode Bottlenecks: SRAM-Frequency Tradeoffs and the Memory-Bandwidth Ceiling” was published by researchers at Uppsala University. “Energy consumption ...
Gizmochina

Xiaomi MiMo-V2-Flash LLM Just Dropped: These Are the Most Interesting Things About It

Xiaomi has unveiled its most advanced open-source large language model to date, called MiMo-V2-Flash, as part of its expanding push into foundation AI. The new model focuses on high-speed performance ...
www.cs.cmu.edu

TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention

Large language models (LLMs) have led to significant progress in various NLP tasks, with long-context models becoming more prominent for processing larger inputs. However, the growing size of the ...
InfoQ

NVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
IEEE

AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM

Abstract: Disaggregating the prefill and decode phases has recently emerged as a promising strategy in the large language model (LLM) serving systems, driven by the distinct resource demands of each ...
techxplore

BrainBody-LLM algorithm helps robots mimic human-like planning and movement

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely used to tackle a wide range of tasks, ranging from sourcing information to the ...
Nasdaq

Amplitude Unveils AI Feedback to Instantly Decode and Act on What Customers Want

Next-gen AI transforms massive volumes of customer feedback into actionable product insights In the era of AI, organizations have more customer data than ever. However, without a unified platform to ...