AI/ML

In one of my favorite Far Side cartoons, Gary Larson tells us our dog’s vocabulary is rather limited; in fact, they really only know or hear their names. While this cartoon always makes me la…

The solution to agentic flows was code all along.

I made a date-sharing app called PocketCal. Here's how I did it!

Posted on Thursday 3 Jul 2025. 1,012 words, 10 links. By Matt Webb.

Introduction to GraphRAG

Ready to become a certified z/OS v3.x Administrator? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdnNJp Learn more about Guardium AI Security here → https://ibm.biz/Bdn7PF How do you secure large language models from hacking and prompt injection? 🔐 Jeff Crume explains LLM risks like data leaks, jailbreaks, and malicious prompts. Learn how policy engines, proxies, and defense-in-depth can protect generative AI systems from advanced threats. 🚀 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdnNJh #llm #secureai #aihacking #aicybersecurity

Customize and extend Claude Code's behavior by registering shell commands

Multiple parallel Claude-Code sessions power a self-improving AI factory where agents write, review, and refine code.

A short demo of using Claude Code to add a new feature to one of my GitHub repositories by implementing a GitHub Actions workflow for me.Full code written by...

A topic-organized collection of 200+ LLM research papers from 2025

We interact with computers on an everyday basis, be it in everyday life or work, and many aspects of work can be done entirely with access to a computer and the Internet. At the same time, thanks...

Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls, according to Gartner #GartnerSYM #GartnerIT

This new paper by 11 authors from organizations including IBM, Invariant Labs, ETH Zurich, Google and Microsoft is an excellent addition to the literature on prompt injection and LLM security. …

Feature: More fiction than science

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

LLM failures to reason, as documented in Apple’s Illusion of Thinking paper, are really only part of a much deeper problem

LLMs were invented in four major developments... all of which were datasets

Notes from a talk I delivered at the 2025 Data + AI Summit, detailing the problem with prompts in your code and how DSPy can make everything better.

Reviewing the few changes in the Claude 4.0 system prompts, we get a sense for how system prompts program chatbot applications.

Claude Is my favorite AI (even with ChatGPT, Gemini and DeepSeek in the mix)

6 tactics for fixing your context and shipping better agents. As Karpathy says, building LLM-powered apps means learning to ‘pack the context windows just right’—smartly deploying tools, managing information, and maintaining context hygiene.

Drew Breunig has been publishing some very detailed notes on context engineering recently. In How Long Contexts Fail he described four common patterns for context rot, which he summarizes like …

A talk about what I have learned about programming with agents over the last few months.

Armin Ronacher delivers a 37 minute YouTube talk describing his adventures so far with Claude Code and agentic coding methods. A friend called Claude Code catnip for programmers and it …

Normalizing Flows (NFs) are likelihood-based models for continuous inputs. They have demonstrated promising results on both density…

A pragmatic take on AI coding with practical insights

Current recommendations of agentic coding.

Contribute to NomenAK/SuperClaude development by creating an account on GitHub.

On vision and how to understand deep learning.