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Project Vend: Can Claude Run a Small Shop?
The source details Anthropic's "Project Vend," an experiment where their AI model, Claude Sonnet 3.7 (nicknamed "Claudius"), was tasked with autonomo…
1Â year ago
Self-Adapting Language Models (SEAL)
The provided text describes Self-Adapting Language Models (SEAL), a novel framework enabling large language models (LLMs) to learn and improve autono…
1Â year ago
The Illusion of the Illusion of Thinking
The provided text, a commentary on Shojaee et al. (2025), challenges claims that Large Reasoning Models (LRMs)exhibit fundamental reasoning failures …
1Â year ago
The Illusion of Thinking in Reasoning Models
This academic paper explores the strengths and limitations of Large Reasoning Models (LRMs) compared to standard Large Language Models (LLMs), specif…
1Â year, 1Â month ago
Meta-Reinforcement Learning with Minimum Attention
This academic paper introduces "minimum attention" as a novel regularization technique applied to meta-reinforcement learning (meta-RL), particularly…
1Â year, 1Â month ago
AI Persuasion Through Reinforcement Learning and Rhetoric
This research paper examines the ethical and societal implications of Reinforcement Learning from Human Feedback (RLHF) in generative Large Language …
1Â year, 1Â month ago
Reinforcement Learning for Assembly Code Optimization with LLMs
The provided source explores enhancing assembly code performance using large language models (LLMs) through reinforcement learning (RL). It introduce…
1Â year, 1Â month ago
FileFix: Browser to PowerShell Social Engineering
The provided text describes FileFix, a social engineering technique that leverages the File Explorer address bar to execute malicious PowerShell comm…
1Â year, 1Â month ago
Reinforcement Learning Under Unmeasured Confounding
This paper introduces a novel framework for offline reinforcement learning (RL), specifically addressing challenges in scenarios with continuous acti…
1Â year, 1Â month ago
Reinforcement Learning for Urban Air Quality Management
This document outlines a novel deep reinforcement learning (DRL) framework for optimizing the placement of air purification booths in metropolitan ar…
1Â year, 1Â month ago