Key Takeaways from the Safety Critical Track at Open Source Summit Europe 2025 – 2
elisa.tech·1d
🔄Language Evolution
Crafting a Full Exploit RCE from a Crash in Autodesk Revit RFA File Parsing
thezdi.com·7h
🧪Binary Fuzzing
We didn't rewrite our feed handler in Rust
databento.com·1d·
Discuss: Lobsters, Hacker News, Hacker News, Hacker News, r/cpp, r/rust
🦀Rust Borrowing
I struggle to find old messages in ChatGPT conversations
ai-answer-saver.vercel.app·23h·
Discuss: Hacker News
🎙️Whisper
A Solution to the Paperclip Problem
link.springer.com·1d·
Discuss: Hacker News
🔲Cellular Automata
You don't need an AI agent framework, or why frameworks are the new Juicero
konvu.com·1d·
Discuss: Hacker News
🔬Refinement Types
Show HN: Tilly – An Open Source Relationship Journal I Actually Use
github.com·8h·
Discuss: Hacker News
🚀Indie Hacking
Cactus Language • Semantics 1
inquiryintoinquiry.com·2d
🔢Denotational Semantics
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
arxiv.org·1d
🗂️Vector Search
A Multilingual Framework for Dysarthria: Detection, Severity Classification, Speech-to-Text, and Clean Speech Generation
arxiv.org·1d
🎙️Whisper
Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
arxiv.org·1d
📋Document Grammar
Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text
arxiv.org·1d
🎙️Whisper
Automated Verification of Code Logic & Security Vulnerabilities via Hyperdimensional Semantic Analysis
dev.to·2d·
Discuss: DEV
📏Code Metrics
Python + EVM without the paper cuts: a senior playbook for fast, correct, and scalable reads
dev.to·2d·
Discuss: DEV
🌐NetworkProtocols
FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
arxiv.org·1d
🔍Information Retrieval
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
arxiv.org·1d
💻Local LLMs
Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
arxiv.org·1d
📜Digital Philology
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
📊Multi-vector RAG
Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL
arxiv.org·17h
💻Local LLMs
Open Agent Specification (Agent Spec): A Unified Representation for AI Agents
github.com·1d·
Discuss: Hacker News
🔒WASM Capabilities