Debates over AI consciousness are a trap

“Runaway” AI, “rogue” agents, and “autonomous” actors—the current rhetoric would have you believe that AI agents are not only awake and aware, but angry at their creators. Prominent tech leaders such as Demis Hassabis, Dario Amodei, and Sam Altman push for regulation of these seemingly…

Source: MIT Technology Review

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The Download: polycrisis support networks and a hydrogen gold rush

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Support networks aim to help kids through the polycrisis Sometime in the late 2000s, six-year-old Pim Sullivan-Tailyour was sitting in the…

Source: MIT Technology Review

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Introducing AI Futures

Introducing AI Futures, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.

Source: OpenAI News

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Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems

arXiv:2512.14629v2 Announce Type: replace-cross Abstract: Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game development. Recent advances in music editing systems have enabled diverse editing tasks such as timbre transfer, instrument substitution, and genre transformation. However, many…

Source: cs.AI updates on arXiv.org

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Phantom Transitions in Language Model Fine-Tuning: A Density-Matrix Analysis

arXiv:2606.07559v3 Announce Type: replace-cross Abstract: Language models fine-tuned where the correct completion must outrank a near-synonym competitor often fail silently. The cross-entropy loss falls monotonically while the correct token never overtakes the competitor in the model's ranking. We study this across five transformer architectures from…

Source: cs.AI updates on arXiv.org

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When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition

arXiv:2605.02782v2 Announce Type: replace Abstract: Automatic speech recognition (ASR) systems remain brittle on dysarthric and other atypical speech. Recent audio-language models raise the possibility of improving performance by conditioning on additional clinical context at inference time, but it is unclear whether these models can make…

Source: cs.AI updates on arXiv.org

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