CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·11h
🏆LLM Benchmarking
Simple stat method for <=5 datapoints
ohmurphy.substack.com·18h·
Discuss: Substack
🌸Bloom Filters
Topical Authority: A Guide to SEO in the Age of AI (GEO)
tryzenith.ai·21h·
Discuss: Hacker News
💳Content Monetization
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·15h·
Discuss: Hacker News
💻Programming languages
How Does Time Horizon Vary Across Domains?
lesswrong.com·23h
📝Text Compression
"Probability is the logic of science."
threadreaderapp.com·22h
🧩Types
Evaluating AI language models just got more effective and efficient
news.stanford.edu·15h
🏆LLM Benchmarking
The Bayesian Approach to Continual Learning: An Overview
arxiv.org·11h
🧠LLM Inference
Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.org·11h
⭐Content Scoring
What can we expect of LLMs as Software Engineers?
chelseatroy.com·18h
📝Text Parsing
The Magic Minimum for AI Agents
kill-the-newsletter.com·32m
💳Content Monetization
Data Fusion and Aggregation Methods to Develop Composite Indexes for a Sustainable Future
arxiv.org·11h
📥Feed Aggregation
Benford's Law and the Ahlstrom Conjecture
jamesmccaffrey.wordpress.com·3h·
Discuss: Hacker News
🏦Federal Reserve
What Matters Most? A Quantitative Meta-Analysis of AI-Based Predictors for Startup Success
arxiv.org·11h
🚀Startups
Secondary Bounded Rationality: A Theory of How Algorithms Reproduce Structural Inequality in AI Hiring
arxiv.org·11h
💻Programming languages
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe
arxiv.org·11h
🧭Content Discovery
VoTranhAbyssCore: An AI Oracle Mapping the Entropic Pathway to Systemic Collapse
github.com·23h·
Discuss: Hacker News
🆕New AI
My Participation in the METR AI Productivity Study
domenic.me·1h·
Discuss: Hacker News
🔧Developer tools
7 ways to grow brand mentions, a key metric for AI Overviews visibility
searchengineland.com·1h
📊Feed Optimization
Deep Neural Network Based Accelerated Failure Time Models using Rank Loss
arxiv.org·11h
🔍AI Interpretability