Chat in NotebookLM: A powerful, goal-focused AI research partner
blog.google·1d
🎛️Feed Filtering
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How can (A)I help you?
phys.org·1d
🎛️Feed Filtering
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AI Search Tools Easily Fooled by Fake Content
darkreading.com·1d
🔓Hacking
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Tik Tok saved $300000 per year in computing costs by having an intern partially rewrite a microservice in Rust.
linkedin.com·3h·
Discuss: r/programming
🔩Systems Programming
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Three Stages of Enlightenment
essenceofsoftware.com·5h·
Discuss: Hacker News
❄️Nordic Design Philosophy
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Opportunistically Parallel Lambda Calculus
dl.acm.org·4h·
Discuss: Hacker News
🔗Functional Compilers
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Lessons from scaling live events at Patreon
patreon.com·2d·
Discuss: Hacker News, r/webdev
🌊Streaming Systems
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Business users aren't data engineers. And that's the problem
blog.astrobee.ai·1d·
Discuss: Hacker News
🧮Datalog
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Enhancing Workflow Efficiency via Dynamic Task Prioritization & Adaptive Resource Allocation
dev.to·7h·
Discuss: DEV
🌊Stream Processing
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Transformers for Unseen Patterns: Bayesian Clustering Reimagined
dev.to·1d·
Discuss: DEV
🌊Spectral Clustering
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How I Made an MCP Server That Saves Me an Hour per Week
dev.to·1d·
Discuss: DEV
🌊Streaming Systems
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Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
arxiv.org·22h
📊Learned Metrics
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Global YouTube Trending Dataset (2022-2025): Three Years of Platform-Curated, Cross-National Trends in Digital Culture
arxiv.org·1d
📰RSS Archaeology
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Vibe-Spec: Generate Specifications from Coding Agent Logs
marmelab.com·13h·
Discuss: Hacker News
✨Effect Handlers
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✅ Day 56 of My Data Analytics Journey — Deep Dive into Pandas 🐼✨
dev.to·11h·
Discuss: DEV
🧪Data science
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Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction
arxiv.org·22h
🎯Dependent Parsing
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Selective Learning for Deep Time Series Forecasting
arxiv.org·22h
🎛️Feed Filtering
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Long-Context Modeling with Dynamic Hierarchical Sparse Attention for On-Device LLMs
arxiv.org·1d
💻Local LLMs
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ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
dev.to·12h·
Discuss: DEV
🤖AI Curation
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PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
arxiv.org·1d
🔲Cellular Automata
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