An update on recent Claude Code quality reports Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Introducing GPT-5.5 Introducing GPT-5.5, our smartest model yet—faster, more capable, and built for complex tasks like coding, research, and data analysis across tools.
French govt agency confirms breach as hacker offers to sell data France Titres, the government agency in France for issuing and managing administrative documents has disclosed a data breach after a threat actor claimed the attack and stealing citizen data.
Bitwarden CLI Compromised in Ongoing Checkmarx Supply Chain ... Bitwarden CLI 2026.4.0 was compromised in the Checkmarx supply chain campaign after attackers abused a GitHub Action in Bitwarden’s CI/CD pipeline.
Highlights from Git 2.54 The open source Git project just released Git 2.54. Here is GitHub’s look at some of the most interesting features and changes introduced since last time.
World Models will push the frontier for LLMs Large Language Models are trained using the next-token prediction objective. This means that the vocabulary distribution of the model needs to be close to th...
Why You Need MLOps: When CI/CD for Machine Learning Becomes Mandatory Why MLOps is mandatory: architectural thresholds, Azure vs. GCP cloud patterns, hidden GPU costs, and the real risks of deploying ML without pipelines.
Inside a Massive 1980s Hard Drive: 14 Inches of Fury! Dave takes you on a POV tour of his 1979 DEC PDP-11/44, including a look at the CPU complex, inside the massive 14" hard drives, and more!
Zain Hasan | Inside Claude Code: An Architecture Deep Dive A walkthrough of how Claude Code works internally — from its layered architecture and query loop to its tool system and permission model.
Agents and the Era of Overproduction It seems somewhat fitting that now, March 11, 2026, almost three years ago to the day that OpenAI’s GPT-4 was released (and almost three years after I asked GPT-4 my first recorded questionI distinctly remember asking GPT3.5 to create a song about somethi...
Can We Measure Software Slop? An Experiment In this article, I propose a definition of software slop based on human attention (slop = code that hasn't been reviewed or verified) and sketch out a way to estimate how "sloppy" a piece of software is. I put it to the test with Slop-O-Meter, an exper...
What an hour of your attention is worth — jonno.nz You pay Big Tech about $1,000 a year in attention. Here's how to read the meter — and why building your own is suddenly cheaper than opting out.
The price of software is going to zero The price of software is going to zero. AI assisted programming makes it much faster and cheaper to build software. On the scale of the software market this means that most of what is currently consumer paid software will become free software. Prior to AI...
Don't Read the PDF. Write the Parser. | Adrià Cidre I stopped feeding hospital PDFs to a vision model. When the layout changes, the AI fixes the parser instead — and production never sees a token.
Moving a tenant across PostgreSQL instances · Anantha Kumaran In earlier posts, I covered how to move full PostgreSQL data between instances using GCP DMS, and how to move selected tables across instances. In this post, I’ll focus on moving data for a specific tenant from one instance to another.
Syncing Time Over the Internet When you buy a brand new computer—let's say you bought a MacBook—and you open it for the first time, it is not yet connected to any internet. As such, it shows the wrong time. But the moment you connect it to your Wi-Fi for the first time, automatically, ...
I'm Using Claude Code for Everything Else But Coding Nineteen days after cancelling Claude Max, my pattern has settled. Codex with GPT-5.4 on xHigh took the coding seat. Claude Code with Opus 4.7 on xHigh took every other seat at the desk.
Most of What We Call Progress | Yusuf Aytas What years of software development reveal about progress, process, and people, reflections on why good judgment outlasts tools, and simplicity always wins.
Writing an LLM from scratch, part 33 -- what I learned from finally getting round to the appendices I've finished the main body of Raschka's book -- here are my thoughts on the appendices, and why I'm glad I read them after learning things the hard way.
