🔍 BitFunnel

Inverted Indexing, Search Optimization, Bing Architecture, Information Retrieval

I Made a Darts Tournament App with Privacy by Design
reddit.com·18h·
Discuss: r/homelab
🔤EBCDIC Privacy
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Vulnerabilities in LUKS2 disk encryption for confidential VMs
blog.trailofbits.com·1d
🦠Parasitic Storage
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Notes on strategy and audience as a media business
baldurbjarnason.com·18h
📰Feed Readers
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No Cap, This Memory Slaps: Breaking Through the OLTP Memory Wall
danglingpointers.substack.com·1d·
Discuss: Substack
⚡Hardware Transactional Memory
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Thought Engineering
pranavc28.github.io·1d·
Discuss: Hacker News
🧠Intelligence Compression
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Toward provably private insights into AI use
research.google·1d·
Discuss: Hacker News
🛡️Differential Privacy
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Fungus: The Befunge CPU(2015)
bedroomlan.org·4h·
Discuss: Hacker News
⚡Homebrew CPUs
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Squeezing Every Last Flop: The INT vs. FP Showdown for AI Dominance
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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Ask HN: Why I rarely see game dev startup here?
news.ycombinator.com·8h·
Discuss: Hacker News
🕹️Retro Gaming
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Modern Perfect Hashing
blog.sesse.net·4d·
Discuss: Hacker News
🧪Binary Fuzzing
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Challenging the Fastest OSS Workflow Engine
obeli.sk·21h·
Discuss: Lobsters, Hacker News
🔄Sync Engine
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There’s Nothing Boring About Web Search on Retro Amigas
hackaday.com·22h
🕹️Retro Gaming
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Proton's new observatory reveals over 100 billion records breached - here's what you need to know
techradar.com·12h
🔐Archive Cryptanalysis
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Writing an LLM from scratch, part 25 – instruction fine-tuning
gilesthomas.com·2d·
Discuss: Hacker News
⚡Proof Automation
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A Minimal Route to Transformer Attention
neelsomaniblog.com·2d·
Discuss: Hacker News
🧮Vector Embeddings
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From Legacy to Modern: VentureBeat’s CMS Overhaul
dev.to·17h·
Discuss: DEV
🦋Format Metamorphosis
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Automated Clinical Trial Matching via Semantic Hypergraph Analysis & Predictive Scoring
dev.to·1d·
Discuss: DEV
🕸️Neo4j
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Neither Consent nor Property: A Policy Lab for Data Law
arxiv.org·1d
🧲Magnetic Philosophy
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What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
arxiv.org·1d
🎛️Feed Filtering
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
dev.to·20h·
Discuss: DEV
🕸️Graph Embeddings
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