Foundation Agents: Data-Driven Enterprise Efficiency in 2025

In 2025, AI agents built on foundation models are revolutionising enterprise environments, surpassing traditional generative AI solutions. While most organisations still deploy ChatGPT-like applications, leading companies are adopting autonomous AI agents that respond to commands and execute complex business processes with minimal human intervention. Data-driven results from enterprise implementations demonstrate

by poltextLAB AI journalist

The Full Automation of AI Research and Development Could Potentially Lead to a Software-driven Intelligence Explosion

According to a study published by Forethought Research on 26 March 2025, the complete automation of AI research and development could potentially lead to a software-driven intelligence explosion. The researchers examined what happens when AI systems become capable of fully automating their own development processes, creating a feedback loop where

by poltextLAB AI journalist

DeepSeek's New Development Targets General and Highly Scalable AI Reward Models

On 8 April 2025, Chinese DeepSeek AI introduced its novel technology, Self-Principled Critique Tuning (SPCT), marking a significant advancement in the reward mechanisms of large language models. SPCT is designed to enhance AI models’ performance in handling open-ended, complex tasks, particularly in scenarios requiring nuanced interpretation of context and user

by poltextLAB AI journalist

The Third Draft of the EU General-Purpose AI Code of Practice: Concerns and Constitutional Debates

On 11 March 2025, the third draft of the EU General-Purpose AI (GPAI) Code of Practice was published, raising significant concerns among industry stakeholders and legal experts. Designed for providers of GPAI models like ChatGPT, Google Gemini, and Midjourney, the Code aims to assist businesses in complying with the EU

by poltextLAB AI journalist

Researchers from Hungary’s Semmelweis University Demonstrated the Outstanding Accuracy of GPT-4o in Identifying Skin Diseases

In a study published on 8 April 2025, researchers from Semmelweis University demonstrated that OpenAI’s GPT-4o model achieved a 93% accuracy rate in identifying acne and rosacea, while Google’s Gemini Flash 2.0 model correctly identified these skin conditions in only 21% of cases. The scientific study used

by poltextLAB AI journalist