The Day Mentoring Felt Like Parenting: Lessons from The Explosive Child
devpost.com·20h·
Discuss: DEV
📖Interactive Fiction
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Nvidia's Quiet Move Into Quantum Computing Could Reshape the Next Frontier of AI
fool.com·12h
Hardware Acceleration
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AII vs. ASI: Philosophical and Systemic Implications for AI's Future
nooneweone.org·11h·
Discuss: Hacker News
🎭Program Synthesis
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The Foundation You Can't Outsource
blog.namar0x0309.com·2d·
Discuss: Hacker News
🛡️AI Security
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Q4 2025 Milestone, V1 Protocol Launch Planned for Mutuum Finance (MUTM)
hackernoon.com·5h
🔗ActivityPub
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Vibe Operations – The Next Indispensable Trend
shinglyu.com·1h·
Discuss: Hacker News
🤖Automation
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Sometimes Postgres Isn't the Answer
pomerium.com·2d·
Discuss: Hacker News
🗄️Databases
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Winnow vs Chumsky
reddit.com·22h·
Discuss: r/rust
🦀Rust
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Managing long contexts in agentic coding systems
cto.new·4d·
Discuss: Hacker News
💬Prompt Engineering
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Automating MongoDB Atlas Cluster Discovery Across All Projects Using PowerShell
dev.to·4d·
Discuss: DEV
🐚Shell Scripting
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AI in 2025: The New Era of Intelligence
dev.to·2d·
Discuss: DEV
🛡️AI Security
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PixelPal: My First Production-Ready AI Project
dev.to·3h·
Discuss: DEV
🎨Creative Coding
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Building LearnForge: Multi-Agent AI Learning Platform on Cloud Run with Google ADK
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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The Illusion of Language: What Directives Really Are
dev.to·1d·
Discuss: DEV
🦀Rust Macros
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From JPMorgan's Trading Desk to Your Terminal: Building a Natural Gas Storage Valuation Engine
dev.to·16h·
Discuss: DEV
💰TigerBeetle
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Expertise need not monopolize: Action-Specialized Mixture of Experts forVision-Language-Action Learning
paperium.net·3d·
Discuss: DEV
💬Prompt Engineering
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User Reviews Synthesis: What Real Teams Say About Batch Background Tools
dev.to·7h·
Discuss: DEV
🚀Performance
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Switching from Go to Node.js. Seeking best practices advice!
reddit.com·17h·
Discuss: r/node
🦕Deno
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LG-NuSegHop: A Local-to-Global Self-Supervised Pipeline For Nuclei Instance Segmentation
arxiv.org·9h
👁️Computer Vision
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
paperium.net·23h·
Discuss: DEV
💬Prompt Engineering
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