Italian political consultant says he was targeted with Paragon spyware
techcrunch.com·12h
🔭Tracing
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Engineer's Guide to Local LLMs with LLaMA.cpp on Linux
avatsaev.substack.com·22h·
Discuss: r/LocalLLaMA
🧮Jemalloc
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Spent 3 hours debugging why API was slow, asked LLM and it found it in 30 seconds
reddit.com·11h·
Discuss: r/ClaudeAI
🎯WASM Runtime
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Developing desktop apps from scratch: A feature checklist
alek-tron.com·1d·
Discuss: Hacker News
📁File Systems
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The rise of ‘Slow AI’: Why devs should stop speedrunning stupid
app.coderabbit.ai·23h·
Discuss: DEV
💬Prompt Engineering
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Exploratory Data Analysis: The First Step Toward Data-Driven Discovery
pub.towardsai.net·1d
📊Data Science
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·7h·
Discuss: DEV
💾Retro Computing
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Zama Announces Strategic Acquisition of KKRT Labs to Scale Confidentiality On Public Blockchains
hackernoon.com·1d
🤝Paxos
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From Code to Confidence: Building AI Apps That Earn User Trust
devops.com·21h
🛡️AI Security
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From data to corpus: semiotic and documentary issues in audiovisual archives
arxiv.org·44m
💾Digital Archiving
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What We Learned from Subjecting LikhaERP to Independent VAPT Testing
dev.to·1d·
Discuss: DEV
🧪Testing
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Periodic Skill Discovery
arxiv.org·1d
🎯Reinforcement Learning
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Quantum-Resistant Federated Learning: Securing Distributed Model Training Against Future Cryptanalytic Attacks
dev.to·20h·
Discuss: DEV
⚛️Quantum Computing
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Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
arxiv.org·1d
🧮Embeddings
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"Let's Agree to Disagree": Investigating the Disagreement Problem in Explainable AI for Text Summarization
arxiv.org·44m
📝NLP
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Code That Writes Itself: The Era of Example-Driven Programming by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
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How I Built a Django Honeypot to Catch Attackers (and What I Learned)
dev.to·9h·
Discuss: DEV
🔓Binary Exploitation
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Tiny GenBI: Lightweight Agent for business analysis
github.com·1d·
Discuss: Hacker News
🔥DataFusion
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Active Noise Control Method Using Time Domain Neural Networks for Path Decoupling
arxiv.org·1d
📡Signal Processing
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Automated Simulation Anomaly Detection via Multi-Modal Graph Analysis and Reinforcement Learning
dev.to·2d·
Discuss: DEV
📱Edge AI
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