From engines of logic to engines of bullshit?

A hierarchy of AI machines organized by their learning power shows their limits and the possibility that humans are at risk of machine subjugation well before AI utopia can come.

After people stopped caring, artificial intelligence got more interesting.

Meta-analysis discusses the reproduction and evaluation of results in a 2021 paper about using RL to design silicon chips, as well as the validity of methods, results, and claims.

Seeking to understand how we can better synthesize creative outputs from generative artificial intelligence.

Let’s transform our robot secretaries into Socratic gadflies.

How universities can influence socially responsible AI technology development and use.

Considering how generative artificial intelligence might affect occupations.

Building on cross-disciplinary insights to shape the future of human-AI interaction.

It is becoming easier---and more common---to recreate deceased individuals with artificial intelligence.

Encouraging organizations to adapt a test-driven ethical development approach.

Seeking to influence how generative artificial intelligence affects various professions.

Increasing knowledge sharing between industry and academia.

A spectrum of human-artificial intelligence collaboration in assessing relevance.

Large language models brought language to machines. Machines are not up to the challenge.

How large language models are influencing online communities.

Fallout from an exploding bubble of hype triggered the real AI Winter in the late 1980s.

Assessing the ascent of NVIDIA.

Envisioning a unique approach toward bias and fairness research.

Understanding how human memory and learning works, the differences between beginners and experts, and practical steps developers can take to improve their learning, training, and recruitment.