Hyperproductivity: The Next Stage of AI?

AI is not superhuman

What metaphor should drive the field of AI research?

What we can’t measure about AI – yet | Aeon Essays

The costs of transformative innovations are immediately clear: it’s the longterm gains that are hardest to understand

Is there something it is like to be an AI?

Posted on Wednesday 2 Jul 2025. 1,593 words, 6 links. By Matt Webb.

Building pro-worker AI | Brookings

Daron Acemoglu, David Autor, and Simon Johnson ask: What is pro-worker AI, and how can we build it?

‘AI fatigue’ is settling in as companies’ proofs of concept increasingly fail. Here’s how to prevent it  | Fortune

Along with the excitement about the possibilities of generative AI is a great deal of pressure for leaders and employees participating in projects.

Appearing Productive in The Workplace — No One's Happy

AI can produce work that looks expert without being expert. The failure arrives in two shapes, and both are reshaping the workplace.

Appearing Productive in The Workplace — No One's Happy

AI can produce work that looks expert without being expert. The failure arrives in two shapes, and both are reshaping the workplace.

What AI is Really For - Christopher Butler

After three years of immersion in AI, I have come to a relatively simple conclusion: it’s a useful technology that is very likely overhyped to the

Will AI spark a scientific renaissance — or a diffuse monoculture?

Artificial intelligence’s ability to enrich science will depend not only on model capability, but also on whether researchers, reviewers and funders reward originality over speed.

Science that Compounds: The Need for A New Substrate for Research in the Age of AI

This paper is a perspective from Lightcone Research, an open-source initiative building tooling for scientific research in the age of agentic AI.

233. "The Illusion of Thinking" — Thoughts on This Important Paper

This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

Augmented human intelligence goes beyond the AGI mirage

This paper argues that contemporary Artificial General Intelligence (AGI) approaches face significant challenges that make Augmented Human Intelligence (AHI) a more promising and practically beneficial alternative. Drawing on phenomenological insights from Peter-Paul Verbeek’s technological mediation theory and comprehensive empirical evidence from decades of AI development, we argue that current AGI projects encounter recurring difficulties that may stem from attempting to replace rather than enhance human intelligence. Through analysis of mediation theory’s core concepts, systematic examination of recent AI performance data, and comprehensive review of human–AI collaboration studies, we show why augmentation approaches consistently outperform replacement attempts across domains requiring creativity, judgment, and contextual understanding. Prioritizing sophisticated AHI development over AGI pursuit represents not a compromise but a fundamental reorientation toward more effective and ethically sound approaches to artificial intelligence that better serve human flourishing.

No. 001: arXiv goes independent, AI Scientist v2, Claude Scholar - The Hallway Track

The Hallway Track No. 001 - How AI is affecting the practice of science

No. 010: AutoScientists governance, AI-agent monoculture, nonsense-term retractions - The Hallway Track

The Hallway Track No. 010 - How AI is affecting the practice of science

Nature is Laughing at the AI Build Out -

I was catching up on Acquired episodes this week and listened to the spectacular “Google: The AI Company” episode that Ben and David put together. What the two of them have created with their podcast fascinates me in the inevitability of its success. I think Acquired proves that if you are smart and work your […]