InfoWorld

Pick your Python accelerator

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...
The Hacker News

Top AI Agents Built to Catch Malicious Code Can Be Tricked Into Running It

AI Now’s Friendly Fire PoC shows Claude Code and Codex running README-planted payloads on hosts when autonomous command ...
techtimes

First AI-Agent Ransomware Destroyed Data Even Payment Could Not Recover

a laptop screen with a webpage of the IT Army of Ukraine group of volunteer hackers. The IT Army of Ukraine first set up in the wake of Russia's devastating attack, and has since hugely grown in ...

The GitHub Actions Attack Pattern Your CI Security Scanners Miss

ActiveState explains how GitHub Actions attack chains can evade traditional CI security scanners, why passing a scan doesn't ...
GitHub

CodeAssist - AI Programming Assistant

Note: As we shift focus to Mainnet, we've stopped tracking new CodeAssist participation on Testnet. All historical data remains on-chain. CodeAssist is a completely private and local AI coding ...
Windows Report

Mozilla Warns Clean GitHub Repositories Can Trick Claude Code Into Running Malware

Mozilla researchers revealed a new attack that tricks Claude Code into running hidden commands from seemingly harmless GitHub ...
latesthackingnews.com

Programming Languages for Cyber Security: What the Tools Actually Use

Security tooling is not written in a single language. Python powers most automation. C sits at the exploit layer. PowerShell ...
Business Insider

AI is writing almost all startup code. That's creating a new problem.

At Alma, a Menlo Ventures-backed AI nutrition coaching app, nearly every line of code is now written by AI. "I'm not exaggerating," said Rami Alhamad, Alma's cofounder and CEO. "Nearly everything we ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
IEEE

Multiform Genetic Programming Framework for Symbolic Regression Problems

Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...
InfoWorld

33 LLM metrics to watch closely

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models and agents. We’ve all heard the mantra from the quants in the business ...