How much revenue is needed to justify the current AI spend?
pracap.com·3h·
Discuss: Hacker News
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
The Day I Almost Backed Out: Being the Only Woman Speaker at AWS Cloud Day Philippines' Developer Lounge
dev.to·7h·
Discuss: DEV
🔌Interface Evolution
Abstraction for Abstraction’s Sake: How Developers Talk Themselves Into Complexity
hackernoon.com·2d
🧬Functional Programming
[Help] TrueNas issues
reddit.com·5h·
Discuss: r/homelab
🏠HomeLab
Nothing Ear 3 review: work in progress
theverge.com·3d
📡Bluetooth Archaeology
What do you struggle with?
reddit.com·1d·
Discuss: r/kubernetes
🌊Streaming Systems
SER-Diff: Synthetic Error Replay Diffusion for Incremental Brain Tumor Segmentation
arxiv.org·2d
📊Learned Metrics
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
arxiv.org·4d
💻Local LLMs
Decrypt Modality Gap in Multimodal Contrastive Learning: From Convergent Representation to Pair Alignment
arxiv.org·4d
🧠Machine Learning
🚀 From Rejection to Reinvention: How I Built an AI That Finds My Jobs
dev.to·19h·
Discuss: DEV
🇨🇳Chinese Computing
Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs
arxiv.org·3d
🔗Parser Combinators
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
arxiv.org·3d
⧗Information Bottleneck
Exposing Citation Vulnerabilities in Generative Engines
arxiv.org·2d
📜Digital Philology
RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
arxiv.org·2d
🔒Privacy Archives
I’ve gone rouge, I think it’s good but I could be crazy
reddit.com·4d·
Discuss: r/homelab
💿FLAC Archaeology
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
vibe.forem.com·2d·
Discuss: DEV
🚀Indie Hacking
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
arxiv.org·1d
👤Search Personalization
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
GNN Blind Spots: The Hidden Cost of Powerful Graph Models
dev.to·22h·
Discuss: DEV
🕸️Graph Embeddings