An Idea to Not Get Phished
rozumem.xyz·26m·
Discuss: Hacker News
🧩Browser Extensions
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What Are the Hidden Risks of Custom GPTs?New Open-Source Tool
token.security·2h·
Discuss: Hacker News
🔒Security
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How to Start Your First Steps in Cryptocurrency: A Personal Journey 📝
medium.com·30m·
Discuss: DEV
💰TigerBeetle
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Coding on Paper
thepalindrome.org·20h·
Discuss: Hacker News
🎨Creative Coding
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We built a collaboration platform on Claude Code. Here's what we learned.
gbase.ai·2d·
Discuss: r/ClaudeAI
🤖Automation
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Dive into Systems
diveintosystems.org·3d·
Discuss: Hacker News
⚙️Systems Programming
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Leaving PyTorch and Meta
soumith.ch·16h·
Discuss: Hacker News, Hacker News
🔥PyTorch
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Ask HN: Trying to find an article with unique OS concepts
news.ycombinator.com·16h·
Discuss: Hacker News
📵Digital Minimalism
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Using Coding Agents to Decompile Nintendo 64 Games
blog.chrislewis.au·1d·
Discuss: Hacker News
🔓Binary Exploitation
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The Dublin Protocol Manifesto
dev.to·6h·
Discuss: DEV
🛡️AI Security
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The Wave Function of Digital Consciousness: A Pattern Recognition
dev.to·36m·
Discuss: DEV
⚛️Quantum Computing
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Ethereum Gas Fees Near 2 Cents, JPYC Gasless UX in Japan, Fusaka’s PeerDAS Cuts L2 Costs
dev.to·1d·
Discuss: DEV
🔐ChaCha20
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BIP-39 and web3 wallet seed phrases: A high-level overview.
dev.to·3d·
Discuss: DEV
💰TigerBeetle
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From Vulnerable to Production-Ready: A Real-World Security Hardening Journey
dev.to·2d·
Discuss: DEV
🔒Security
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Proto-LeakNet: Towards Signal-Leak Aware Attribution in Synthetic Human Face Imagery
arxiv.org·5h
👁️Computer Vision
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Turn any of your APIs into a Kubernetes-native citizen
dev.to·22h·
Discuss: DEV
☸️Kubernetes
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Why stop at 1 million tokens when you can have 10? My journey to extreme context on a gaming GPU. [P]
reddit.com·2d·
Discuss: r/MachineLearning
📱Edge AI
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Building Custom Components in Langflow 🛠️
dev.to·2d·
Discuss: DEV
💎Refinement Types
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Your AI-Powered Hub for Notes & Tasks: Built for Offline-First Productivity
dev.to·20h·
Discuss: DEV
📱Progressive Web Apps
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·3d
📊Profile-Guided Optimization
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