Will I Make It to the Restaurant Before the Soup Dumplings Get Cold?
distributedthoughts.org·8h·
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🌊Streaming Algorithms
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NOAH: Benchmarking Narrative Prior driven Hallucination and Omission in Video Large Language Models
arxiv.org·22h
🧠Learned Codecs
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
the-decoder.com·8h
🧠Intelligence Compression
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Unlock Your Simulations: Automated Parameter Tuning for Complex Models by Arvind Sundararajan
dev.to·8h·
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Incremental Computation
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Dynatrace: Solid Execution, Limited Margin Of Safety
seekingalpha.com·1d
🔗Data Provenance
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The Myth of RAM (2014)
ilikebigbits.com·1d·
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💨Cache Analysis
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The Uselessness of "Fast" and "Slow" in Programming
jerf.org·1d·
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📏Code Metrics
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Slashing CI Wait Times: How Pinterest Cut Android Testing Build Times by 36%+
medium.com·1d
🎯Emulator Accuracy
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Why Your SLO Dashboard is Lying: Moving Beyond Vanity Metrics in Production
devops.com·15h
👁️Observatory Systems
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A Big Update from Spectral Compute, the Team Behind Scale
scale-lang.com·11h·
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🖥️Terminal Renaissance
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Linux kernel patch from Thomas Gleixner improves Postgres benchmark by 15%
lore.kernel.org·19h·
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Cache Coherence
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·1d
🌲Parse Trees
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The Other 80%: What Productivity Really Means
oreilly.com·15h
📏Code Metrics
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Show HN: I have zero dev experience and built a 220k LOC fintech SaaS with AI
medium.com·11h·
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Proof Automation
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The Complete Guide to Building Data Pipelines That Don’t Break
kdnuggets.com·12h
🌊Stream Processing
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Scaling HNSWs
antirez.com·15h·
🔍BitFunnel
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Building a Hypercube Interpolator (in Rust)
jlogan.dev·2h·
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🔩Systems Programming
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AI-Accelerated Agile Hardware Design Using the ROHD Framework
intel.github.io·3h·
Discuss: Hacker News
🔌Interface Evolution
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SoK: Systematizing a Decade of Architectural RowHammer Defenses Through the Lens of Streaming Algorithms
arxiv.org·22h
🌊Stream Ciphers
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