LWN.net

Using LLMs to find Python C-extension bugs

The open-source world is currently awash in reports of LLM-discovered bugs and vulnerabilities, which makes for a lot more work for maintainers, but many of the current crop are being reported ...

Python Code Defense in the AI Era: An Obfuscation CLI Pipeline for Evaluating Reverse Engineering Resistance

In scenarios such as on-premises delivery, edge device deployment, and SDK distribution where Python scripts are deployed ...
HackerNoon

I Built a Python Compressor Using OpenAI's Tokenizer. Here's What Happened

And I kept looking at that dictionary and thinking: nobody is allowed to just use that for compression? TokPress is a ...
Analytics Insight

What Should an AI/ML Beginner Learn First: Python, Machine Learning or Generative AI?

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

After tinkering with local image generation AI and LLMs, it turns out Python did the most work—the sober reality of AI utilization

Hello, this is neon.I quite enjoy generating images.Most of the time, GPT Image is enough, but for the remaining 20% that isn ...
VentureBeat

Self-invoking code benchmarks help you decide which LLMs to use for your programming tasks

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
Ars Technica

How I program with LLMs

This piece was originally published on David Crawshaw's blog and is reproduced here with permission. This article is a summary of my personal experiences with using generative models while programming ...