Blogging, AI, and the SEO road ahead: Why clarity now decides who survives
searchengineland.comยท17h
๐Ÿ“ŠFeed Optimization
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Elon Musk created a Wikipedia competitor. What could go wrong?
vox.comยท19h
๐Ÿ“กRSS
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Tencent/WeKnora
github.comยท5h
๐Ÿ”ŽMeilisearch
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I ran a 6-month experiment: $10K on new content vs $10K on updating existing content.
threadreaderapp.comยท12h
๐Ÿ”ƒFeed Algorithms
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Life Online Feels Fake Because of Drift: A Theory of Compression and Fidelity
therealitydrift.substack.comยท17hยท
Discuss: Substack
๐Ÿ—œ๏ธCompression Techniques
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Royal Botanic Garden Edinburgh, Alertmouse, Yandex, More: Thursday Afternoon ResearchBuzz, October 30, 2025
researchbuzz.meยท11h
๐Ÿ“ฐRSS Reading Practices
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Schema changes are a people problem, not a tooling problem
motherduck.comยท15hยท
Discuss: Hacker News
๐Ÿ‘จโ€๐Ÿ’ปSoftware development practices
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Pseudo-Knowledge Graphs for Better RAG
pub.towardsai.netยท14h
๐Ÿ”„LLM RAG Pipelines
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Enabling Publishers to Express Preferences for AI Crawlers: An Update on the AIPREF Working Group
ietf.orgยท21h
๐ŸŒWeb Standards
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Raising the Bar on ML Model Deployment Safety
uber.comยท17h
๐Ÿ—๏ธLLM Infrastructure
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Show HN: I built a lightweight AI tool to analyze visitor behavior
getallinsights.comยท16hยท
Discuss: Hacker News
๐Ÿ“ŠFeed Optimization
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Reddit vs. AI Giants: The Data War That Will Define the Internet
techupkeep.devยท18hยท
Discuss: r/programming
๐Ÿ’ณContent Monetization
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How AI Browsers Sneak Past Blockers and Paywalls
cjr.orgยท19h
๐Ÿ’ณContent Monetization
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How to Build Digital Twins for Operational Efficiency
databricks.comยท15h
๐Ÿ—๏ธLLM Infrastructure
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A New Conference Presented Scientific Papers Written and Reviewed by A.I. as an Experiment. Here's What Happened
smithsonianmag.comยท16h
๐ŸŽญClaude
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When you click on an ad in sales season, retailers get to harvest your data
techxplore.comยท16h
๐Ÿ’ณContent Monetization
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Quadric: Revolutionizing Edge AI
semiwiki.comยท13h
๐Ÿ“ฑEdge AI Optimization
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Toward provably private insights into AI use
research.googleยท19h
๐Ÿ—๏ธLLM Infrastructure
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Building "RAG from Scratch". A local, educational repo to really understand Retrieval-Augmented Generation (feedback welcome)
reddit.comยท19hยท
Discuss: r/LocalLLaMA
๐ŸŽฏQdrant
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