39 articles matching your search.
The XM Cyber threat research team identified eight validated attack vectors inside AWS Bedrock, from log theft to agent hijacking to guardrail degradation. Here is what every AI team needs to know and do right now.
WordPress.com now lets AI agents draft, publish, manage comments, fix SEO metadata, and restructure entire sites through natural language commands via MCP. Here is what this means for content creators and businesses.
What happens when you give an autonomous AI research agent 16 GPUs instead of one? It runs 910 experiments, discovers hardware arbitrage, and beats sequential search 9x. Here is the full breakdown.
A researcher duplicated 3 specific layers in Devstral-24B and boosted logical deduction from 0.22 to 0.76 — no training, no weight changes. Here is how LLM Circuit Finder works and why it matters.
A detailed comparison of Mistral Leanstral against Copilot, Cursor, Devin, and Q Developer. Explores how AI-powered formal verification differs from code generation and who should care.
The MCP vs CLI debate is missing the point. Local MCP is indeed overkill, but server-side MCP for enterprise auth, telemetry, and standardization is just getting started.
Digg relaunched its beta and AI bots destroyed it within hours. The team banned tens of thousands of accounts, deployed industry-standard bot detection, and it was not enough.
Anthropic made 1M context generally available for Claude Opus 4.6 and Sonnet 4.6 at standard pricing — no premium, no beta header. MRCR v2 score of 78.3% leads frontier models.
CanIRun.ai is a free web tool that maps AI model hardware requirements against your machine specs. With 762 upvotes on Hacker News, it covers everything from 0.5 GB edge models to 512 GB monsters.
Angela Lipps spent six months in jail after AI facial recognition incorrectly identified her as a bank fraud suspect. She had never been to North Dakota. Nobody called her first.
The Debian project voted not to decide on AI-generated contributions. Here is why the skeptics and the advocates both have valid arguments, and why waiting might be the smartest move.
METR had real open-source maintainers review 296 AI-generated PRs that passed SWE-bench tests. Roughly half would never make it to main. Here is what that means for how we evaluate and use AI coding tools.