Unlocking high software engineering pace: Partner with Product to pay down technical debt
dev.jimgrey.net·3h
📏Code Metrics
Kerbernetes: Kerberos + LDAP auth for Kubernetes
reddit.com·1h·
Discuss: r/kubernetes
🎫Kerberos History
From Chaos to Clarity: AI Approaches for PDF & Unstructured Data Extraction
dev.to·1h·
Discuss: DEV
📄Document AI
Goal-Oriented Low-Rank Tensor Decompositions for Numerical Simulation Data
arxiv.org·1d
🕸️Tensor Networks
Researchers glimpse the inner workings of protein language models
news.mit.edu·19h
🔢Denotational Semantics
INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems
arxiv.org·1d
🧭Content Discovery
NFS server IN k8s cluster
reddit.com·1h·
Discuss: r/homelab
💾Storage Replication
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
arxiv.org·1d
🎙️Whisper
Automated Elderly Activity Pattern Extraction & Predictive Intervention using Multi-Modal Sensor Fusion
dev.to·23h·
Discuss: DEV
🎯Threat Hunting
Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling
arxiv.org·1d
🎙️Whisper
Accessing GPT-5 via CometAPI: a practical up-to-step guide for developers
dev.to·11h·
Discuss: DEV
⚡gRPC
Mathematical Computation and Reasoning Errors by Large Language Models
arxiv.org·5d·
Discuss: Hacker News
👑Isabelle
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
arxiv.org·1d
🌊Streaming Systems
The AI Triple Threat: mitigating the dangers of AI adoption with identity security
techradar.com·7h
🔐Capability Systems
On Delta-Homology Analogy: Memory as Structured Trajectories
arxiv.org·10h
🕸️Algebraic Topology
Wallinter-Hybrid: A New Protocol for Human-AI Collaboration
dev.to·23h·
Discuss: DEV
🌐Protocol Synthesis
CTRL Your Shift: Clustered Transfer Residual Learning for Many Small Datasets
arxiv.org·1d
📊Learned Metrics
Noodlophile Stealer Hides Behind Bogus Copyright Complaints
darkreading.com·18h
🎫Kerberos Attacks
I Gave My LLM a Promotion: Now It Delegates Its Own Work
dev.to·3d·
Discuss: DEV
🧮Theorem Proving
A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks
arxiv.org·10h
🧠Machine Learning