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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…
1 year, 3 months 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…
1 year, 3 months 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 …
1 year, 3 months 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…
1 year, 3 months 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…
1 year, 3 months 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 …
1 year, 3 months 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…
1 year, 3 months 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…
1 year, 3 months 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…
1 year, 3 months 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…
1 year, 3 months ago