From Artificiality This Week * Our Gathering: Our Artificiality Summit 2025 will be held on October 23-25 in Bend, Oregon. The
AI agents are evolving with orchestration layers enabling modular, autonomous systems beyond traditional SaaS, reshaping workflows, labor, and software design.
David Wolpert warns AI networks may evolve beyond human math, creating unpredictable, emergent intelligence that defies control and comprehension.
Our original research into the AI market, influential companies, and key products. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
Slides and videos from our February 2024 research update for Artificiality Pro
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.
OpenAI isn’t just running fast & breaking things—it’s running with scissors. And that could be a major issue in 2024.
In our Artificiality Pro update for January, we covered our 10 research obsessions for 2024.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
Rather than reactively banning technology or doubling down on ineffective surveillance, we must proactively develop new pedagogical muscles for this algorithmic age—scaffolding metacognitive discernment and critical thinking while leveraging AI as a valuable asset.
Higher ed grapples with AI: Student learning and job impact top concerns, but confidence and preparedness vary. Proactive dialogue on AI needed.
This 10-part series explores how Generative AI is transforming the future of work, from automation and augmentation to impacts on productivity, skills, emerging talents, and established leaders.
Our recommendation is to follow a five-step playbook: Diversify, Dream, Design, Develop, and Defend.
The most dangerous AI bias is the bias of the more powerful over the less powerful.
A growing cadre of academics, activists, technologists, lawyers, and designers are confronting biases and attempting to understand and mitigate them. The attempt to grapple with AI bias will force us to confront the biases in ourselves.
The Artificiality Weekend Briefing: About AI, Not Written by AI
