// ai application

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theme-ai ai capability ai application ai-driven defense

Oct 11

AI Now Impersonates Scammers to Waste Their Time

Source: WIRED

Security researchers have deployed AI chatbots posing as vulnerable victims or valuable targets, forcing cybercriminals to spend hours interacting with fakes instead of real prey. Rather than criminals using AI to scale fraud, defenders are using it to create friction and economic drag on criminal operations—trading compute for criminal attention. The tactic works by exploiting the same profit-driven calculus that makes cybercrime appealing: if enough scammers waste enough time on bots, the ROI on their campaigns drops, making other attack vectors or victim pools more attractive.

theme-commerce revenue growth ai application business model innovation

Jul 11

IKEA's €1.3 Billion AI Windfall Came From Demand, Not Efficiency

Source: Featured Blogs - Forrester

IKEA deployed AI to solve a distinctly retail problem—matching fragmented inventory data across 460+ stores and warehouses to fulfill customer orders they were previously losing to competitors—rather than chasing the automation-and-layoffs narrative that dominates enterprise AI discussions. The revenue gain came from capturing demand that existed but went unmet, a different ROI mechanism than the cost-cutting playbook. For retailers with complex supply networks, AI's business value lies in visibility and demand fulfillment rather than labor displacement. This resets expectations for how mature companies should evaluate AI investments: not as a tool to do less with fewer people, but as infrastructure to unlock revenue trapped in operational blind spots.

theme-ai AI & ML ai application algorithm

May 2

ByteDance's Algorithm Team Pivots to Drug Discovery for "Undruggable" Diseases

Source: The Next Web

ByteDance's recommendation engine—built to maximize engagement through behavioral prediction—is now being applied to protein folding and molecular targeting, two problems where traditional pharma has repeatedly failed. The shift shows that sequence prediction at scale (whether video preference or amino acid structure) is a learnable skill, and that deep learning talent developed in consumer tech has direct utility in biology where the stakes are patient outcomes rather than watch time. If this team successfully targets proteins that existing drug discovery has abandoned as intractable, AI-native companies could operate as infrastructure providers in healthcare, competing directly with pharma's discovery capabilities and talent recruitment.