Differentially private machine learning at scale with JAX-Privacy
research.google·4h
🤖Machine Learning
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Firebase vs. Supabase vs. Appwrite: We Built the Same App Three Times
simpletechguides.com·7h·
Discuss: Hacker News
💪Fitness
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I Found (and Fixed) a 14x Cost Bug in Airbyte's S3 Connector
wozz.io·2h·
Discuss: Hacker News
💪Fitness
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Sponsored Keynote: From Cloud-Native to Agent-Native: Context Engineering for... I. Levine & K. Babo
youtube.com·7h
💪Fitness
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Sorry, Sundar. We Weren't Familiar with Your Game
saanyaojha.substack.com·4h·
Discuss: Substack
🤖Machine Learning
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How to Use Claude Code Safely: A Non-Technical Guide to Managing Risk
producttalk.org·6h
🤖Machine Learning
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The speed of innovation: Leading in a brave new era of AI-powered creation
nordot.app·5h
🤖Machine Learning
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Battery health prediction under data scarcity: A cross-domain physics-informed 5-shot framework with GRU-Transformer
sciencedirect.com·44m
💪Fitness
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The Agentic Leap: Key Announcements and Demos from the Google I/O 2025 Developer Keynote
io.google·3d·
Discuss: DEV
🤖Machine Learning
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How to Get Started Programming with AI: Complete Beginner's Guide
bitdoze.com·20h
🤖Machine Learning
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Experiments in Autonomous AI Development
kenforthewin.github.io·2d·
Discuss: Hacker News
🤖Machine Learning
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Project Delivery Requires AI Orchestration Systems, Not Mere Tools—Founder in Charge of Project...
thedigitalprojectmanager.com·21h
🤖Machine Learning
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Smart Job Search System for Developers, Stop Randomly Applying
notion.so·3d·
Discuss: DEV
💪Fitness
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Mastering SQL — From Zero to Hero
dev.to·17h·
Discuss: DEV
🤖Machine Learning
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.org·1d
🤖Machine Learning
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Tell Me Why My Design Will Fail
dev.to·5d·
Discuss: DEV
🤖Machine Learning
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For devs/engineers naysaying LLM tools, which ones have you tried?
news.ycombinator.com·2d·
Discuss: Hacker News
🤖Machine Learning
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MoM – Mixture of Model Service
github.com·1d·
Discuss: Hacker News
🤖Machine Learning
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Introducing eventsourcing.dev: A Clear Guide to Event Sourcing
dev.to·2h·
Discuss: DEV
🤖Machine Learning
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Designing Data-Intensive Applications — Chapter 2: Data Models and Query Languages
dev.to·22h·
Discuss: DEV
🤖Machine Learning
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