Anthropic CEO 长文《We Must Pace the Frontier》:首次呼吁为前沿 AI 能力进步"限速",三步走方案详解
Dario Amodei 发文主张放慢 AI 能力提升速度,提出"嵌入式评估员—民主国家协调—全球协调"三步走方案,第一步 Anthropic 已单方面承诺执行;Altman 与马斯克罕见附和,业内同时出现"监管俘获"质疑。
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共 218 条Train Smarter, Not Harder: Switching Signal-Guided Training in Active Learning
Training strategy, namely whether to retrain from scratch or fine-tune from the previous checkpoint, is an overlooked de…
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Large language models used for code editing can be trained and deployed in at least two output regimes: direct generatio…
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We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects…
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Vision-language models (VLMs) are expected to respond helpfully to appropriate requests while withholding compliance wit…
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Striking a balance between helpfulness and safety remains a fundamental challenge in aligning large language models. To …
What Did I Just Say? Self-Listening for Full-Duplex Speech Models
Full-duplex spoken language models can listen and speak simultaneously, enabling them to handle interruptions and backch…
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Online 3D reconstruction models perform poorly on long videos. This happens because regressing poses relative to a fixed…
When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
Quantization is widely used to reduce the computational and memory demands of neural-network inference. In recurrent net…
The Attention Triangle in Audio-Video Models
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same …