AI Injection Attacks
textslashplain.com·12h
🔓Hacking
Show HN: ZenStack V3 – Modern, AI-Friendly Data Layer for TypeScript App
zenstack.dev·3d·
Discuss: Hacker News
📦METS Containers
Building smarter interactions with MCP elicitation: From clunky tool calls to seamless user experiences
github.blog·1d
⚔️Lean Tactics
Radicle 1.4.0
radicle.xyz·1d·
Discuss: Lobsters, Hacker News
❄️Nix Flakes
Malicious NPM Packages Impersonate Flashbots SDKs, Targeting Ethereum Wallet
socket.dev·10h·
Discuss: Hacker News
🎫Kerberos Attacks
Why language models hallucinate
openai.com·22h·
Discuss: Hacker News, Hacker News
🔲Proof Irrelevance
vLLM with torch.compile: Efficient LLM inference on PyTorch
blog.vllm.ai·1d·
Discuss: Hacker News
🔩Systems Programming
How to Vibe Code Effectively
ibrahimahmed.ca·2d·
Discuss: Hacker News
✅Formal Methods
[R] The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
reddit.com·1d·
Discuss: r/MachineLearning
🌀Brotli Internals
The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
arxiv.org·2d
🔗Constraint Handling
How to Context Engineer to Optimize Question Answering Pipelines
towardsdatascience.com·14h
📄Text Chunking
Augment, Complement and Empower Yourself
arttuv.com·1d·
Discuss: Lobsters, Hacker News
⚡Proof Automation
AI Idea #1757093985
dev.to·14h·
Discuss: DEV
🎛️Feed Filtering
Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees
arxiv.org·2d
💻Local LLMs
go-yaml/yaml has been forked into yaml/go-yaml
github.com·6h·
Discuss: r/golang
🔒Linear Types
VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities
arxiv.org·2d
🧪CBOR Fuzzing
From Evaluation to Defense: Constructing Persistent Edit-Based Fingerprints for Large Language Models
arxiv.org·2d
💻Local LLMs
[D] How do you read code with Hydra
reddit.com·1d·
Discuss: r/MachineLearning
⬆️Lambda Lifting
Boosting Your Anomaly Detection With LLMs
towardsdatascience.com·1d
💻Local LLMs
Master Go Memory Analysis: A Practical Guide from Dev to Prod
dev.to·1d·
Discuss: DEV
🧠Memory Forensics