Is Generative AI Finally Paying Off? Wharton Says Yes (Mostly)
cmswire.com·7h
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Found out DORA metrics don't tell you WHY you're slow, just that you are.
blog.pragmaticdx.com·21h·
Discuss: r/programming
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Show HN: Alignmenter – Measure brand voice and consistency across model versions
alignmenter.com·1d·
Discuss: Hacker News
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
venturebeat.com·14h·
Discuss: Hacker News
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Retracing the Past: LLMs Emit Training Data When They Get Lost
arxiv.org·56m
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I'm Going All-In on AI for Developers.
dev.to·8h·
Discuss: DEV
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What I learned building a language-learning app
lesswrong.com·8h
longform travel writing
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Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
arxiv.org·56m
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Explaining Bayesian Neural Networks
arxiv.org·56m
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Building a Synthetic Data Generator: From Concept to Reality
dev.to·19h·
Discuss: DEV
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
dev.to·1d·
Discuss: DEV
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AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
arxiv.org·56m
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·2d·
Discuss: DEV
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Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
arxiv.org·56m
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Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models
paperium.net·1d·
Discuss: DEV
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Book review: “Build a DeepSeek Model (From Scratch)”
dev.to·2d·
Discuss: DEV
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