raesene

Being a list of UK pentest companies that got acquired, for no particular reason apart from remembering them all is getting difficult.
(based on a tweet from @clappymonkey and follow-ups from there)
In no particular order and the attached link is just the first one on google that appeared relevant.

MWR acquired by F-Secure (https://www.mwrinfosecurity.com/news/f-secure-takes-a-big-step-towards-cyber-security-leadership-by-acquiring-mwr-infosecurity)
RandomStorm acquired by Accumuli (https://www.computerweekly.com/microscope/news/2240237054/Accumuli-acquires-again-with-RandomStorm-buy)
Securetest acquired by NCC (https://www.manchestereveningnews.co.uk/business/business-news/nccs-4m-swoop-999989)
NGS acquired by NCC (https://www.computerweekly.com/news/2240087643/NCC-acquires-security-testing-rival-NGSS-for-10m)
Nettitide acquired by lloyds registers (https://www.channelweb.co.uk/crn-uk/news/3028655/cybersecurity-firm-nettitude-acquired-by-lloyds-register) 
First Base acquired by falanx (https://www.insiderme

silverwolfceh

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karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.