Topic - Edition
Research acceleration: The view inside OpenAI Apparently today is RSI day at OpenAI, for Recursive Self-Improvement - I think it's their new AGI. Both this piece and the new essay An Alien Mind (by Chief Scientist Jakub…
The purpose of DNS is to spread scams Terence Eden shares some daunting statistics in support of his take that "the Domain Name System's purpose seems to be a vector for criminals to run scams on people at a…
My comment on There's No Limit to How Bad Code Can Get — Lobste.rs. [In reply to a comment about burning it down to start from scratch when technical debt becomes overwhelming] In my experience it's so rare for that to…
If you continue to add floors and rooms to a building forever, it will collapse. Software faces no such constraint. The code can always get worse. There can always be a new layer of indirection or a reduction in…
I get asked this rhetorical question a lot, in various forms: Sure, datacenters might use a lot of energy, but you don’t have to use a hosted frontier model to do software development. What if I just run a local…
I’ve toggled a hidden switch in the REPL code and unlocked error messages: gh-148228: Enable error overlays in the REPL by johnslavik · Pull Request #148229 · python/cpython · GitHub (check it out!) Feel invited to play…
You open a blank .py file in your favourite IDE. You have a blank page in front of you. You start writing code. This is how it used to be. And perhaps it’s how it still is for you. This is how I wrote computer programs…
AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments reveal about which watermarks survive copy-paste, editing,…
Using LDA for dimensionality reduction in classification problems The post Linear Discriminant Analysis (LDA) in Real-Life: Dimensionality Reduction in a Real-Estate Dataset appeared first on Towards Data Science.
VectorSmith turns vector database collections into LLM tools and exposes them through an MCP server. Using the existing collection schemas and a simple YAML configuration, you can make your vector DB data available to…
Autonomous multi-agent pentest framework that plans, exploits, verifies with required proof, assigns CVSS scores, and generates client-ready reports. It achieved 104/104 (100%) on the XBOW validation benchmarks and is…
AI-generated ML code can run successfully while still containing subtle mistakes that waste hours or days of training. The video shows how to set up a reliable Python ML workflow with the right tools, validation steps,…
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations.
Speculative programmatic tool calling (sPTC) speeds up AI agent harnesses by pre-launching tool calls from partially generated code instead of waiting for the model to finish generating. The approach overlaps tool…
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