🎯 Alignment Research - hop1.ng.1357 · Scour

The Future of AI in Ubuntu 🤖AI

discourse.ubuntu.com·3d·Hacker News, r/linux

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs 🕳LLM Vulnerabilities

Hot Research Topics in AI and ML in 2026 and Their Philosophical Connections 🕵️AI Agents

omseeth.github.io·5d·Hacker News

Building a High-Scale Real-Time Recommendation Engine with Feature Stores and Redis Observability ⚡Edge AI

hackernoon.com·3d

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria 🪄Prompt Engineering

EsoBench: Learning a Novel Esolang via Iterative Execution Feedback 👨‍💻AI Coding

caseys-evals.com·4d·Hacker News

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training 🤖LLM

Fixing What LLMs Get Wrong (22 minute read) 🪄Prompt Engineering

thebigdataguy.substack.com·4d·Substack

Great Minds Should Not Think Alike, They Should Think Together 🪄Prompt Engineering

docs.eventsourcingdb.io·4d·Hacker News

From Prompt Risk to Response Risk: Paired Analysis of Safety Behavior of Large Language Model 🛡️AI Safety

AI gives back more equality than it takes away 📱Edge AI Optimization

news.ycombinator.com·3d·Hacker News

Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training 🛡️AI Safety

Welcome to the “find out” stage of AI 🕵️AI Agents

stackoverflow.blog·3d·Hacker News

The AI-Driven Employment Explosion (5 minute read) 🇨🇳Chinese AI

cloudedjudgement.substack.com·4d·Substack

Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning 🛡️AI Safety

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems 👤Search Personalization

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing 📋Text Quality

FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients ✨LLMs

AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents 🕹️Agentic AI

Select to Think: Unlocking SLM Potential with Local Sufficiency ✨LLMs

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