AdaptixC2: A New Open-Source Framework Leveraged in Real-World Attacks
unit42.paloaltonetworks.com·1d
🔒WASM Capabilities
Asterisk Security Release 21.10.2
seclists.org·3d
🛡Cybersecurity
Linkdump No 72
82mhz.net·9h
🏺Gaming Archaeology
Small Businesses Face a New Threat: Pay Up or Be Flooded With Bad Reviews
slashdot.org·11h
🔍BitFunnel
The Internet Just Doesn't Hit Anymore. Here's How You Can Take It Back.
tekhne.dev·2d·
Discuss: Hacker News
📰RSS Archaeology
chalk + debug just got owned on npm… and honestly, this is the nightmare I’ve been expecting
codeant.ai·3d·
Discuss: Hacker News, r/node, r/programming
❄️Nix Adoption
A Humble Blog Post
nvegater.com·4d·
Discuss: Hacker News
💾Persistence Strategies
'K2 Think' AI Model Jailbroken Mere Hours After Release
darkreading.com·21h
🔓Hacking
Real-Time Atmospheric Dust Characterization via Deep Hyperspectral Analysis & Dynamic Particle Classification
dev.to·17h·
Discuss: DEV
🌈Spectroscopy
Why I Bet on FastAPI Over Django (After 10 Years of Using It)
dev.to·2d·
Discuss: DEV
🔌Interface Evolution
Embedding Poisoning: Bypassing Safety Alignment via Embedding Semantic Shift
arxiv.org·3d·
Discuss: Lobsters
🌳Archive Merkle Trees
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
arxiv.org·3d
🤖AI Curation
Tracking AI system performance using AI Evaluation Reports
dev.to·2d·
Discuss: DEV
👁️System Observability
[D] Vibe-coding and structure when writing ML experiments
reddit.com·4d·
Discuss: r/MachineLearning
💻Local LLMs
Undecidability of Tiling with a Tromino
arxiv.org·2d
🎯Performance Proofs
Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
arxiv.org·1d
💻Local LLMs
Show HN: DbSandboxer – Fast Isolated Postgres DBs for Spring Boot Tests
github.com·15h·
Discuss: Hacker News
📝Database WAL
Taming Chaos with Antifragile GenAI Architecture
oreilly.com·22h
🔲Cellular Automata
AI Development Is Stuck in 1996. Here’s How to Get to the Future.
thenewstack.io·2d
🔌Interface Evolution
BEDTime: A Unified Benchmark for Automatically Describing Time Series
arxiv.org·4d
📈Time Series