The abstraction you didn't ask for

Ars Technica's policy on generative AI

How Ars Technica uses, and doesn't use, generative AI.

In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch

Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

Let’s be honest, Generative AI isn’t going all that well

A sampling of recent news

Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender

People increasingly consult generative artificial intelligence (AI) while reasoning. As AI becomes embedded in daily thought, what becomes of human judgment? We

The 50 Percent Problem

Empirical evidence of the educational harm of generative AI

The 50 Percent Problem

Empirical evidence of the educational harm of generative AI

AI is turning research into a scientific monoculture

Generative AI deserves scientific attention. But the rush to study it is producing a feedback loop of topical and methodological convergence, flattening scientific imagination and crowding out the pluralism needed to keep research adaptive, resilient, and intellectually generative.

Can generative artificial intelligence be considered a cognitive subject? An analytic analysis

This paper examines whether contemporary generative artificial intelligence (GAI), especially large language models (LLMs), can be regarded as a “cognitive subject” in the epistemic sense relevant to the production and endorsement of knowledge claims. GAI systems increasingly participate in writing, research, and decision-making workflows and can display striking competence in information processing and task-directed problem solving. Yet, the thesis that GAI is a cognitive subject is stronger than the observation that GAI contributes as a cognitive tool. Therefore, we propose an explicit set of necessary and sufficient conditions for cognitive subjecthood and evaluate each condition in light of recent philosophical and empirical scholarship. The analysis supports a two-part conclusion: (i) present-day GAI can reasonably be described as a cognitively significant contributor to knowledge production, but (ii) it does not satisfy the conditions for cognitive subjecthood, largely because robust intentionality, metacognitive self-representation, and consciousness-related indicator properties are not established.

Meet the academics refusing to use generative AI

Researchers say they have their reasons for avoiding AI tools — and they’re sick of arguing about it.

Meet the academics refusing to use generative AI

Researchers say they have their reasons for avoiding AI tools — and they’re sick of arguing about it.

The Edge of Mathematics

Terence Tao, the legendary mathematician, explains the promise of generative AI.

Alexander Lerchner, The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness - PhilPapers

Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view ...

The Myth of the Instant Cake Mix

How to think about creative tooling in the new world of generative AI

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools

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