Operationalizing Gartner TRiSM: Testing AI for Trust, Risk, and Security
hackerone.com·2d
🔍Concolic Testing
Architecting J.A.R.V.I.S. With the Gemini API and Concurrency in Rust
rohan.ga·2d·
Discuss: Hacker News
🌊Streaming Systems
Institutional Knowledge Is Walking Out the Door–Capture It Before It's Gone
ordinalforgov.com·2d·
Discuss: Hacker News
🔗Constraint Handling
The Hidden “Verbosity Tax” in AI: Why Per-Token Pricing Isn’t What It Seems
blog.devops.dev·1d
💰Preservation Economics
Rust in the Linux kernel: part 2
lwn.net·1d·
Discuss: Hacker News, r/programming
🦀Rust Borrowing
Fighting AI Sycophancy
stephenmwangi.com·19m·
Discuss: Hacker News
⚡Proof Automation
First serious homelab after the laptop broke
reddit.com·4h·
Discuss: r/homelab
🏠HomeLab
Show HN: A Jotai implementation of the original Recoil demo app
github.com·6h·
Discuss: Hacker News
📟CLI Design
Catching Up with Fastfetch: A Rust Journey
reddit.com·2d·
Discuss: r/rust
🔩Systems Programming
AI and Machine Learning: Transforming the Future, One Algorithm at a Time
dev.to·2d·
Discuss: DEV
🧠Machine Learning
⚙️ Model Client System, Universal Routing & Fine-Tuning (Transformer + Non-Transformer) in MultiMind SDK
dev.to·2d·
Discuss: DEV
🧮SMT Solvers
Breaking Into Backend Development: Lessons from IBM’s Professional Certificate
dev.to·1d·
Discuss: DEV
🔐CBOR
Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers
arxiv.org·5d
🔄Lens Laws
Compbolt: A lib with a hard to misuse API (based on Matt Godbolt)
github.com·4d·
Discuss: Hacker News
🌀Brotli Internals
SpeakUp AI — Master Professional Communication with AI
dev.to·23h·
Discuss: DEV
🎙️Whisper
Single Core Hundred Thousand Concurrency（1750866547511600）
dev.to·4d·
Discuss: DEV
🌊Stream Processing
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·3d
🧠Intelligence Compression
"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
arxiv.org·2d
🎯Threat Hunting
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
arxiv.org·2d
🌀Riemannian Computing
Building Production-Ready AI Workflows with Rust: An Event-Sourced Approach
dev.to·1d·
Discuss: DEV
🌊Stream Processing