original ↗
lmika.org·3d
🔗Concatenative Programming
Quick and Dirty Analysis of Possible Oracle E-Business Suite Exploit Script (CVE-2025-61882), (Mon, Oct 6th)
isc.sans.edu·1d
🎫Kerberos Exploitation
Show HN: Fast API for Data Cleaning
getflookup.com·3d·
Discuss: Hacker News
🔍BitFunnel
Quit Begging Your LLM: Master the Art of Task Framing
hackernoon.com·1d
🧮Theorem Proving
Show HN: Scout QA – Vibe testing for vibe coding
scoutqa.ai·1d·
Discuss: Hacker News
🔍Concolic Testing
We built AI to split the monolith
engineering.monday.com·2h·
Discuss: Hacker News
🔄Language Evolution
Language Agnostic Programming: Why you may still need code
joaquimrocha.com·1d·
Discuss: Hacker News
💻Programming languages
The future of your code is no-code
pleasedontdeploy.com·22h·
Discuss: Hacker News
📏Code Metrics
Show HN: Is-Kit – Lightweight TypeScript Guard and Validator Toolkit
github.com·1d·
Discuss: Hacker News
⚡Dependent Rust
I'm not Sure, but Here's a Guess
dev.to·20h·
Discuss: DEV
🔢Denotational Semantics
Efficient structure-preserving scheme for chemotaxis PDEs with singular sensitivity in crime and epidemic modeling
arxiv.org·7h
🔗Tailscale
ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection
arxiv.org·7h
📝Text Parsing
So, AI Made You a Superman?
medium.com·4h·
Discuss: Hacker News
🤖AI Curation
Improving Code Generation Accuracy by Automatically Searching for Similar Examples After Referencing Documentation
dev.to·19h·
Discuss: DEV
🏗️Compiler Archaeology
Unified Unsupervised Anomaly Detection via Matching Cost Filtering
arxiv.org·7h
🌸Bloom Variants
🔥Top 10 Make alternatives for building AI automation 🤖
dev.to·20h·
Discuss: DEV
🏠Homelab Orchestration
ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment
arxiv.org·1d
🧠Machine Learning
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.org·1d
🔍Concolic Testing
LLM-Generated Samples for Android Malware Detection
arxiv.org·1d
💻Local LLMs
Compressed Convolutional Attention: Efficient Attention in a Compressed Latent Space
arxiv.org·7h
⧗Information Bottleneck