Intel: No Resolution To Foundry And AI Problems - Seeking Alpha
news.google.com·13h
💬Error Messages
How we trained an ML model to detect DLL hijacking
securelist.com·2d
🏷️Memory Tagging
Writing a Dictation Application
osada.blog·2d·
Discuss: r/programming
📚Self-Documenting Code
Googles CodeMender is designed to automatically find and fix security flaws in software
the-decoder.com·22h
🎭Program Synthesis
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·2d·
Discuss: Hacker News
🪜Recursive Descent
LLM Poisoning [1/3] - Reading the Transformer's Thoughts
synacktiv.com·2d
🪜Recursive Descent
Looking for an Open Source IDE that does *NOT* have AI integration.
reddit.com·17h·
Discuss: r/opensource
📚Self-Documenting Code
Python 3.14 Released With Free-Threaded Mode
linuxiac.com·3h
🧼Lisp Hygiene
Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals
arxiv.org·9h
✨Effect Inference
[Project] llm-use — An open-source framework for intelligent multi-LLM routing
reddit.com·2h·
Discuss: r/LLM
🌉Language Bridges
FrameOracle: Learning What to See and How Much to See in Videos
arxiv.org·1d
🔍Lens Libraries
5 Essential MCP Servers That Give Claude & Cursor Real Superpowers (2025)
dev.to·21h·
Discuss: DEV
🌍HTTP Servers
DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
arxiv.org·1d
📋JSON Parsing
AI-Driven Data Engineering: Building Real-Time Intelligence Pipelines
dev.to·11h·
Discuss: DEV
🎭Program Synthesis
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
arxiv.org·1d
🪜Recursive Descent
Why I Built ts-typed-errors: A TypeScript Error Handling Revolution
github.com·5d·
Discuss: DEV
🛡️Error Handling
How to Build a Modular AI Agent with LangGraph in NestJS & TypeScript
dev.to·3d·
Discuss: DEV
✨Gleam
AgentSight: Keeping Your AI Agents Under Control with eBPF-Powered System Observability
dev.to·1d·
Discuss: DEV
🏰Capability Machines
Detecting Invariant Manifolds in ReLU-Based RNNs
arxiv.org·1d
🪜Recursive Descent
MSF-SER: Enriching Acoustic Modeling with Multi-Granularity Semantics for Speech Emotion Recognition
arxiv.org·9h
🔤Language Tokenizers