AI ‘vibe coding’ could put Ethereum roadmap ahead of schedule: Vitalik Buterin

Vitalik Buterin says an AI-coded Ethereum roadmap prototype could inform blockchain developers on how to use the technology.

I founded an AI startup while still in high school. I'm now 22 and have raised over $2M — I have no regrets about skipping college.

A young founder from Bangladesh shares his journey to creating his AI company, Kodezi, while balancing finishing high school ...
XDA Developers on MSN

I used vibe-coding to actually learn programming, and it worked better than any course

Best way to learn how to code, if done right.
iPhone in Canada

Update Windows 11 Now: Major Notepad Flaw Fixed

If you’re running Windows 11, it’s time to hit that update button. Microsoft has patched a high-severity remote code execution (RCE) vulnerability in the Windows 11 Notepad app that could allow ...
pcguide

Microsoft confirms worrying Remote Code Execution security flaw in Notepad and is rolling out a fix

When it comes to cybersecurity, Remote Code Execution is just about as bad as it gets, and that’s exactly what Microsoft has confirmed is affecting its Notepad app on Windows 11. The tech giant points ...
theregister

Notepad's new Markdown powers served with a side of remote code execution

Just months after Microsoft added Markdown support to Notepad, researchers have found the feature can be abused to achieve remote code execution (RCE). Tracked as CVE-2026-20841 (8.8), the ...
Observer

‘Vibe Coding’ Inventor Andrej Karpathy Has a New Term for A.I. Engineering

Andrej Karpathy introduces “agentic engineering,” arguing that directing A.I. agents now defines modern software development. Photo by Michael Macor/The San Francisco Chronicle via Getty Images The ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...