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Qwenputer: a fully functioning, deterministic RISC-V CPU inside Qwen3.5Qwenputer: a deterministic RISC-V CPU running inside Qwen3.5A blog post shared on Lobsters presents Qwenputer, which per its title is a fully functioning, deterministic RISC-V CPU implemented inside the Qwen3.5 language model. The article body was not available, so implementation details and performance are unconfirmed.
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How we detect frontier model misalignmentOpenAI details layered monitoring for frontier model misalignmentOpenAI describes how it uses layered monitoring to detect misalignment in frontier models and unauthorized agent behavior, so responders can step in before incidents escalate.
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ChatGPTのPro・Businessプランで「API利用」可能に 月最大500ドル分OpenAI adds up to $500/month of API credit to ChatGPT Pro and BusinessOpenAI announced a new perk for ChatGPT Pro and Business subscribers: access to its API, with usage credit of up to $500 per month (roughly 79,000 yen at 158 yen per dollar). The move ties ChatGPT subscriptions more closely to API usage.
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Does Federated Training Degrade Explainability? A Comparative Analysis of Grad-CAM Faithfulness in Centralized vs. Federated Deepfake Detection
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Topology Survives Shuffling: Robust Long-Context Memory Access Prediction for Graph Analytics
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CBE: A Complexity-adaptive Boundary-aware Ensemble Method for Imbalanced Data
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Integrating Heterogeneous Echocardiography AI Outputs in Language Space: Learnable Late Fusion with a Supervised LLM
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Sparse Fine-Tuning for Parameter-Efficient Adversarial Training
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End-to-End Guarantees for Masked Diffusion Models under Conditional Mixing
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Softmax Routing Dynamics in Mixture-of-Experts Models: Collapse and Recovery
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ARBITRA: Robust Document-Level ATT&CK Extraction via Multi-Expert Argumentation
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FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
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Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning
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LinQuant: Functional Invariances for Low-Precision Linear Recurrences
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Well-Specified and Well-Tested? Assessing SWE-bench-Style Datasets with a Self-Evolving Agent
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How Specific Do I Need to Be? Effects of User Query Underspecification on Deep Research Agents
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Safe Multi-Objective Reinforcement Learning: Zero Constraint Violation and Primal-Averaging Convergence
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Robustness of Chatbot LLM Judgments of Presidential Actions and Hypothetical Reforms
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What Makes Medical Examination Items Difficult? Using Large Language Models to Explore Patterns Associated With Empirical Item Difficulty
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Cord: Confidence-Anchored Order Residual Decoding for Masked Diffusion Language Models
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More Is Better? Exploring Latent Correspondence in Federated Hypergraph Learning
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Semantic Mismapping in Generalized Category Discovery: Evaluation and Mitigation
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RetroChessBench: A Benchmark for Reconstructing and Proving Chess Histories
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Does the Citation Matter? Quality, Grounding, and Physician-Rubric Accuracy of Google's AI Overviews for Medical Information
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Class-aware Latent Attention Replay (CLAR): Class Incremental Hazard Diagnosis for Resilient AI in the Manufacturing Industrial Internet
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BEVLight: Generalizable Traffic Signal Control from UAV Bird's-Eye Views
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Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
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There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
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Unlocking Any-Order Generation in Pretrained Autoregressive Image Models
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Strongly Adaptive Online Learning Achieves Uniform Discounted Regret