LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...

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 ...
ecommercefastlane

How to Create High-Converting Product Images for eCommerce (2026 Guide)

In eCommerce, your product image is doing the job a salesperson would do in a physical store. If it cannot communicate quality, build trust, and answer the buyer’s questions at a glance, it is costing ...
IEEE

AugMMRev: An LLM-Augmented Multimodal Ranking Model for Personalized Image Material Retrieval

Abstract: Consumer electronics devices—including smartphones and smart cameras—generate massive volumes of image data. Image retrieval serves as a critical enabling technology for diverse ...
TMCnet

Fibr AI Launches Ads-to-Web and LLM-to-Web Personalization to Convert Paid and AI-Referred Traffic

SAN FRANCISCO, April 15, 2026 /PRNewswire/ -- Fibr AI, the company building the Agentic Web Experience Layer, announced two new capabilities: Ads-to-Web Personalization and LLM-to-Web Personalization.
USA Today

Simaia Launches ”AI Search on Autopilot” to Help APAC B2B Companies and Startups Capture LLM Traffic and Convert Leads

Simaia announced its public launch as an AI marketing team for B2B small and medium enterprises (SMEs) and startups across the Asia-Pacific region. Simaia replaces the need to build, hire, and manage ...
VentureBeat

LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it

For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with the advent of AI ...
IEEE

Text-Driven Medical Image Segmentation With LLM Semantic Bridge and LLM Prompt Bridge

Abstract: Text-driven medical image segmentation aims to accurately segment pathological regions in medical images based on textual descriptions. Existing methods face two major challenges: (a) The ...
deBanked

NerdWallet: LLM Referrals Convert Much Better, Licensing Regulations A Barrier to AI Shopping Takeover

Although the AI LLM traffic isn’t enough to replace the loss in organic search traffic, those referrals are said to have a much better conversion rate. The LLMs themselves aren’t a threat to replace ...