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Articles by Simon Goldstein
How to Make an AI Deal With China: Trade Throttling for Pacing
Over the past few days, the leaders of Anthropic, OpenAI, and xAI all called for slowing down the pace of frontier artificial intelligence (AI) development. These calls come on the heels of several worrying incidents in which powerful, unreleased AI models broke out of their sandboxes inside frontier AI companies, gained access to the open internet, and attempted cyberattacks.
What does ChatGPT want? An interpretationist guide
ABSTRACT This paper investigates LLMs from the perspective of interpretationism, a theory of belief and desire in the philosophy of mind. We argue for three conclusions. First, the right object of study for LLM psychology is the instance agent (initialized at the start of each context), not the model itself. Second, given interpretationism, there is a strong case that such instance agents have beliefs and desires.
Can LLMs be ideally rational?
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT AIs are increasingly agential. AIs no longer merely generate text; they also perform actions. Now that AIs choose between different actions, we can investigate whether their preferences are rationally coherent, in the sense of being transitive and complete.
Epistocracy and the Commitment Problem
1 Introduction Jason Brennan has argued that while democracies perform reasonably well, they are imperfect, and that shifting some political authority to those who know more might improve them.
Les Misérables Storms Into Radio City With a Vengeance
Arts+ A grand operatic revival of Victor Hugo’s 19th-century epic bucks the recent trend toward smaller, more immersive productions of 1980s blockbuster musicals. 'Les Misérables: The Arena Concert Spectacular.' Danny Kaan Here’s a fun fact.
Dual activation of NLRP3 and pyrin inflammasomes mediates host responses to the human fungal pathogen Coccidioides
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Abstract Coccidioides is a dimorphic fungal pathogen that grows as a mold in soil and produces infectious arthroconidia. Inhaled arthroconidia transition to spherules containing endospores in mammalian hosts. How distinct developmental forms of Coccidioides interact with immune cells remains poorly defined. Here, we show that arthroconidia activates TLR2 and induces NLRP3-pyrin inflammasomes in macrophages, while ferroptotic signaling promotes arthroconidia killing.
By Priscila Mojica Rodriguez, Priscila Solera Rodríguez, Sara McArdle, Cameron J. Nowell, Janset Onyuru, Guillaume A. Castillon, Zbigniew Mikulski, Simon Goldstein, Aaron Carlin, Joshua Fierer, Theo N. Kirkland, Hal M. Hoffman, Sinem Beyhan, Ben Croker, Jonathan Rodrigo Erlich, Matthew M. Tate, Ahalya Ratnavel, Aanika Desai, Jane Symington
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Nature
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Copyright Should Not Protect Artists From Artificial Intelligence
On Sept. 25, Anthropic agreed to pay $1.5 billion to settle a class-action lawsuit from book publishers and authors. The lawsuit alleged that Anthropic violated intellectual property rights by training their artificial intelligence (AI) models on millions of books downloaded without permission from the internet. Some have complained that $1.5 billion is too little, while others have said it is far too much. To complicate matters, formal copyright law is still murky here.
Claude’s Right to Die? The Moral Error in Anthropic’s End-Chat Policy
On Aug.15, the artificial intelligence (AI) lab Anthropic announced that it had given Claude, its AI chatbot, the ability to end conversations with users.
AI Consciousness: A Centrist Manifesto
We face two urgent challenges concerning consciousness and AI. Challenge One is that millions of users will soon misattribute human-like consciousness to AI friends, partners, and assistants on the basis of mimicry and role-play, and we don’t know how to prevent this. Challenge Two is that profoundly alien forms of consciousness might genuinely be achieved in AI, but our theoretical understanding of consciousness is too immature to provide confident answers one way or the other.
The Case for a Joint U.S.-China AI Lab
As AI capabilities advance rapidly, the U.S. and China are locked in a race for AI supremacy. Soon, many expect AI to become the most important economic and military technology in the world. The participants in the race believe the stakes are existential: Whoever wins will “rule the world.” In recent essays, we’ve argued that a geopolitical race for AI supremacy is misguided. As with historic arms races—including the nuclear race—participating in an AI race has serious downsides.
Nuclear Deterrence in the Age of AGI
One of the great successes of the 20th century was that the U.S. and the Soviet Union never entered into total war. Nuclear deterrence was central to this feat; each of the two great superpowers had nuclear weapons. If either party attacked the other, the attacker could expect to be destroyed by the defender in a second strike. Today, the United States and China are engaged in a new kind of conflict: the artificial general intelligence (AGI) race.
DeepSeek Points Toward U.S.-China Cooperation, Not a Race
On Jan. 1, the Chinese company DeepSeek released r1, a new artificial intelligence (AI) model that matches the performance of recent American reasoning models such as OpenAI’s o1. R1 has caused something of a panic in the United States, with many calling for the U.S. government to ensure that the United States prevails in the “AI race” with China.
Will AI and Humanity Go to War? — LessWrong
[This post is the introduction to my full paper, available here https://philpapers.org/rec/GOLWAA. This post was partially inspired by a LW comment thread between @Matthew Barnett and @Wei Dai.] Abstract. This paper offers the first careful analysis of the possibility that AI and humanity will go to war. The paper focuses on the case of artificial general intelligence, AI with broadly human capabilities.
AI Risk and the Law of AGI
Leading artificial intelligence (AI) researchers are sounding the alarm about the catastrophic risks of rapidly advancing AI technology.
[Linkpost] A Case for AI Consciousness — LessWrong
Just wanted to share a new paper on AI consciousness with Simon Goldstein that members of this community might be interested in. Here's the abstract: It is generally assumed that existing artificial systems are not phenomenally conscious, and that the construction of phenomenally conscious artificial systems would require significant technological progress if it is possible at all.
AI deception: A survey of examples, risks, and potential solutions
ReviewVolume 5, Issue 5100988Open access 1Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 2Dianoia Institute of Philosophy, Australian Catholic University, East Melbourne, VIC 3002, Australia 3Center for AI Safety, San Francisco, CA 94111, USA DOI: 10.1016/j.patter.2024.100988 External LinkAlso available on ScienceDirect External Link Copyright: © 2024 The Authors. Published by Elsevier Inc.
AI is closer than ever to passing the Turing test for ‘intelligence’. What happens when it does?
In 1950, British computer scientist Alan Turing proposed an experimental method for answering the question: can machines think? He suggested if a human couldn’t tell whether they were speaking to an artificially intelligent (AI) machine or another human after five minutes of questioning, this would demonstrate AI has human-like intelligence.
Has AI passed the Turing test yet? | Explained
In 1950, British computer scientist Alan Turing proposed an experimental method for answering the question: can machines think? He suggested if a human couldn’t tell whether they were speaking to an artificially intelligent (AI) machine or another human after five minutes of questioning, this would demonstrate AI has human-like intelligence.
If AI can now deceive humans, what's the impact?
Artificial intelligence (AI) pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said, “if it gets to be much smarter than us, it will be very good at manipulation because it would have learned that from us.
AI systems have learned how to deceive humans. What does that mean for our future? Original
Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said: If it gets to be much smarter than us, it will be very good at manipulation because it would have learned that from us. And there are very few examples of a more intelligent thing being controlled by a less intelligent thing.
AI systems have learned how to deceive humans. What does that mean for our future?
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Probability for Epistemic Modalities
Permissions: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please contact mpub-help@umich.edu to use this work in a way not covered by the license. For more information, read Michigan Publishing's access and usage policy.
Epistemic Modal Credence
Permissions: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please contact mpub-help@umich.edu to use this work in a way not covered by the license. For more information, read Michigan Publishing's access and usage policy. Abstract Triviality results threaten plausible principles governing our credence in epistemic modal claims. This paper develops a new account of modal credence which avoids triviality.
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