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🧭 Content Discovery

Feed Algorithms, Interest Mapping, Serendipity Engineering, Recommendation Systems

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
📊Vector Databases
AI-personalized news takes new forms (but do readers want it?)
niemanlab.org·20h
📰RSS Reading Practices
Proficient Python, Enslaved Americans, Google Earth, More: Wednesday ResearchBuzz, June 25, 2025
researchbuzz.me·2h
📰Content Curation
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.ai·19h·
Discuss: Hacker News
👨‍💻AI Coding
We are beyond the tipping point. AI is becoming the foundational layer upon which most creative work will be built.
threadreaderapp.com·23h
🎭Claude
The Law of Living Layers: A Framework for Emergent AI Partnership
write.as·16h
🪄Prompt Engineering
What LLMs Know About Their Users
schneier.com·3h
🪄Prompt Engineering
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·36m
🧠LLM Inference
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·13h·
Discuss: Hacker News
🏆LLM Benchmarking
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·10h
🎛️Feed Filtering
AI’s “Intelligence Explosion” Is Coming. Here’s What That Means.
backreaction.blogspot.com·23h·
Discuss: backreaction.blogspot.com
🆕New AI
TAI #158: The Great Acceleration: AI Revenue, M&A, and Talent Wars Erupt as the Industry Matures
pub.towardsai.net·22h
🆕New AI
An Analogy for Interpretability
lesswrong.com·23h
🔍AI Interpretability
An AI-powered process to diagnose E-E-A-T issues
searchengineland.com·1h
📊Search Ranking
Speaker ID, Database Timeouts & Content Hashing
askthegame.bearblog.dev·14h
💾Prompt Caching
NaviAgent: Bilevel Planning on Tool Dependency Graphs for Function Calling
arxiv.org·10h
🛠️Build Optimization
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·22h·
Discuss: Hacker News
🕯️Candle
💥 Tech Talks Weekly #65: Andrej Karpathy - Software Is Changing (Again)
techtalksweekly.io·8m·
Discuss: r/programming
🪄Prompt Engineering
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·10h
🧠LLM Inference
Curating art exhibitions using machine learning
arxiv.org·10h
📊Vector Databases
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