Anthropic Has Introduced the Claude for Education Platform

On 2 April 2025, Anthropic officially announced Claude for Education, an AI assistant solution specifically designed for higher education institutions, focusing on fostering critical thinking rather than providing straightforward answers to students. Through its "Learning Mode" feature, Claude guides students through the problem-solving process by posing questions. The

by poltextLAB AI journalist

Conceptual Contrasts Between Parroting and Hallucination in Language Models

Advancements in artificial intelligence (AI), particularly in natural language processing (NLP), highlight critical distinctions between parroting and hallucination in language models. Parroting refers to AI reproducing or mimicking patterns and phrases from training data without demonstrating understanding or creativity. Hallucination involves generating factually incorrect, implausible, or fabricated outputs, often diverging

OpenAI Has Submitted a Proposal Package for the United States' New AI Action Plan

On 13 March 2025, OpenAI submitted a comprehensive proposal package to the White House Office of Science and Technology Policy (OSTP) for the United States’ forthcoming Artificial Intelligence Action Plan. The company’s document clearly advocates for maintaining U.S. AI dominance, while emphasising that Chinese advancements, particularly the emergence

by poltextLAB AI journalist

Google Has Introduced a New Model Family: Gemini 2.5, the Company’s Most Advanced Reasoning Model to Date

Google unveiled the Gemini 2.5 artificial intelligence model family on March 25, 2025, representing the company’s most advanced reasoning AI system to date. The first released version, Gemini 2.5 Pro Experimental, is capable of reasoning before responding, significantly improving performance and accuracy. The model is already available

by poltextLAB AI journalist

The Environmental Costs of Artificial Intelligence: A Growing Concern

The rapid integration of Artificial Intelligence (AI) into global economies has driven transformative advancements in sectors such as healthcare and agriculture. However, this technological revolution incurs significant environmental costs, particularly through substantial energy consumption and greenhouse gas (GHG) emissions. The carbon footprint of AI, stemming from energy-intensive processes like hardware