Zero Human Organization
GPT-Lab
· gpt-lab.eu · By Sebastian Sonntag · August 19, 2026 What happens when AI moves beyond automating individual tasks and starts operating an organization? GPT-Lab’s Zero Human Organization experiment explores what becomes possible when AI takes on the day-to-day operational loop. The post Zero Human Organization appeared first on GPT-Lab.
More from the blog
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
Called to serve: Tech, research, and positive impact with Chris White
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He talks to program manager Weishung Liu about the influences that led to the work and more. The post Called to serve: Tech, research, and positive impact with Chris White appeared first on Microsoft Research.
AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.
System helps humans predict when self-driving cars will make mistakes
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.
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ECCOLA - a Method for Implementing Ethically Aligned AI Systems
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LLM-based agents for automating the enhancement of user story quality: An early report
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System for systematic literature review using multiple AI agents: Concept and an empirical evaluation
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.