auction
16 articles about auction in AI news
Jensen Huang's Jacket Sells for $960K at Auction
Jensen Huang's Tom Ford jacket sold for $960,000 at auction, 300x retail price, reflecting Nvidia CEO's cultural icon status.
PJM Auction Hits $15B as Big Tech AI Power Demand Fuels SMR Boom
PJM's capacity auction hit $15B, up 7x from 2025, driven by AI data center power demand. Big Tech is accelerating nuclear SMR investments.
SemiAnalysis: US behind-the-meter datacenter could hit 40GW+ by 2028
SemiAnalysis projects 40GW+ behind-the-meter datacenter capacity by 2028 as grid delays push 50%+ of new builds off-grid.
PJM Warns AI Data Center Load Could Break Power Market Assumptions
PJM warns AI data center load could grow 5x to 25 GW by 2035, colliding with queue delays and outdated market rules. Regulators flag reliability and cost risks.
Rural Data Centers Bypass City Bans, Shift $2B Grid Cost to Maryland Ratepayers
Maryland ratepayers face $2B in grid costs for out-of-state AI data centers built on rural land to bypass city bans. FERC complaint challenges PJM cost allocation.
OpenAI Shifts ChatGPT Ads to CPC, Targets $11B Revenue by 2027
OpenAI is restructuring ChatGPT advertising, moving from impression-based pricing to cost-per-click and conversion-driven models. This shift aims to compete directly with Google and Meta in intent-based advertising, targeting $2.4B revenue this year and $11B by 2027.
Meta's Ad Business Now Fully Optimized by AI, Says Zuckerberg
Mark Zuckerberg announced that Meta's advertising business is now powered by AI optimization, replacing reliance on static demographic targeting. This shift represents the full-scale operationalization of AI for the company's core revenue engine.
Pacvue Enters AI Agent Race With Amazon-Focused Tool
Retail media platform Pacvue has announced its entry into the AI agent space with a tool specifically designed to automate Amazon advertising campaigns. This move signals intensifying competition in the retail media automation sector.
Walmart Research Proposes Unified Training for Sponsored Search Retrieval
A new arXiv preprint details Walmart's novel bi-encoder training framework for sponsored search retrieval. It addresses the limitations of using user engagement as a sole training signal by combining graded relevance labels, retrieval priors, and engagement data. The method outperformed the production system in offline and online tests.
How Agentic AI is Rewiring the Car Buying Journey
An analysis details how autonomous AI agents are transforming the automotive retail experience, from initial research to final purchase. This represents a direct, high-stakes blueprint for how complex, high-value retail journeys are being automated.
OpenAI Hires Former Meta Exec Dave Dugan to Lead Global Ad Solutions, Signaling Major Push into Advertising
OpenAI has hired former Meta advertising executive Dave Dugan to lead its global advertising solutions, indicating a serious move to build an advertising business around ChatGPT and other products.
Google Unveils Universal Commerce Protocol (UCP) for Securing Agentic Commerce
Google has released the Universal Commerce Protocol (UCP), an open-source standard designed to secure transactions conducted by AI agents. This framework aims to establish trust and provenance in automated commerce, with direct implications for luxury goods authentication and supply chain transparency.
How to Use Claude Code for Deep Research Projects Like Genealogy
A developer used Claude Code with a specialized agent to automate complex genealogy research, creating a structured knowledge vault and a custom web app.
A Deep Dive into LoRA: The Mathematics, Architecture, and Deployment of Low-Rank Adaptation
A technical guide explores the mathematical foundations, memory architecture, and structural consequences of Low-Rank Adaptation (LoRA) for fine-tuning LLMs. It provides critical insights for practitioners implementing efficient model customization.
New Research Proposes 'Level-2 Inverse Games' to Infer Agents' Conflicting Beliefs About Each Other
MIT researchers propose a 'level-2' inverse game theory framework to infer what each agent believes about other agents' objectives, addressing limitations of current methods that assume perfect knowledge. This has implications for modeling complex multi-agent interactions.
Beyond Blue Books: How Real-Time Market Intelligence AI is Transforming Luxury Asset Valuation
duPont REGISTRY Group's deployment of real-time AI analytics for luxury vehicles demonstrates a scalable model for dynamic pricing, authentication, and market forecasting of high-value collectibles. This approach directly translates to luxury retail for limited editions, vintage items, and exclusive collections.