High-severity flaws in the Chainlit AI framework could allow attackers to steal files, leak API keys & perform SSRF attacks; ...
Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow attackers to extract credentials and files — and gain a lateral edge.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...
Vulnerabilities in Chainlit could be exploited without user interaction to exfiltrate environment variables, credentials, databases.
What's Up Docker shows which Docker containers need updates, tracks versions, and lets you manage them safely through a ...
Moltbook is a “Reddit for AI” where millions of agents post, argue, and form religions. A surreal glimpse into agentic AI and ...
A critical Grist-Core flaw (CVE-2026-24002, CVSS 9.1) allows remote code execution through malicious formulas when Pyodide ...
I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.
How chunked arrays turned a frozen machine into a finished climate model ...
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