This week we are leaning into multiple metaphors: AI as a mirror, UX design as a window or room, and life as information. Plus: read about Michael Levin's upcoming presentation at the Imagining Summit, Helen's Book of the Week, and our upcoming events.
It’s easy to fall prey to the design illusion that because LLMs look sleek, they must be well-designed. But aesthetics alone do not equal design. As Steve Jobs once said, “Design is not just what it looks and feels like. Design is how it works.”
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
After four years, we are relaunching Artificiality with a new site, new focus, and new business model. Woohoo!
We don’t yet know what OpenAI will look like after the dust settles. But here are our main takeaways at the moment. AI Regulatory Capture, LLMs Thinking about Space and Time, and Generative AI Agents.
OpenAI Fires CEO Sam Altman, AI Vision Controlling Your Phone, and Are we as close to AGI as Sam Altman says? 🤔
OpenAI made a splash on ChatGPT's first birthday with something for everyone to be excited and wary.
Artificiality Co-founders, Helen and Dave Edwards, were keynote speakers at the Western Insterstate Commission on Higher Education's meeting on the topic of AI & Higher Education.
In this episode, we speak with Julia Rhodes Davis, a Senior Advisor at Data & Society, about her recent report "Advancing Racial Equity Through Technology Policy" published by the AI Now Institute.
ChatGPT is about to celebrate its first birthday. It’s time for it to graduate from an experiment into a true product.
A new paper argues for analyzing AI systems like GPT through a "teleological" lens focused on the specific problem they were optimized to solve during training. 7 min read
Grounding her work in the problem of causation, Alicia Juarrero challenges previously held beliefs that only forceful impacts are causes. Constraints, she claims, bring about effects as well, and they enable the emergence of coherence.
New research from the Stanford Center for Research on Foundation Models shows that foundation models are largely mysterious.
Jai Vipra is a research fellow at the AI Now Institute where she focuses on competition issues in frontier AI models. She recently published the report Computational Power and AI which focuses on compute as a core dependency in building large-scale AI.
Here’s the issue: the current business model doesn’t make sense because increasing usage conflicts with profits.
The Artificiality Weekend Briefing: About AI, Not Written by AI
