I am using NotebookLM more and more, for various tasks related to teaching and research.
I have to read quite a lot of technical and scientific reports as part of my job and I find it really hard to keep track of all the important insights and news that I discover every day.
One extremely useful application of NotebookLM is summarising such sources: sources that I have actually read and that I actually find important.
I have to read quite a lot of technical and scientific reports as part of my job and I find it really hard to keep track of all the important insights and news that I discover every day.
One extremely useful application of NotebookLM is summarising such sources: sources that I have actually read and that I actually find important.
I have decided to start sharing some of these reports publicly. I think some of these topics are very important and maybe there is someone interested in looking at an automatically-generated summary (that I have read and checked) of sources that I have carefully selected.
Clickable links here:
- AI-assisted coding Selection of highly insightful analyses of the state of LLM-assisted coding (March 2026)
- Agents of Chaos An exploratory red-teaming study concerning autonomous language-model-powered agents. The study involved deploying agents in a live laboratory environment with persistent memory, email access, Discord communication, and system-level tool execution to identify emergent failure modes (February 2026).
- The "Clinejection" AI-Powered Supply Chain Attack For eight hours, every developer who installed or updated Cline got OpenClaw - a separate AI agent with full system access - installed globally on their machine without consent. Approximately 4,000 downloads occurred before the package was pulled1. The interesting part is not the payload. It is how the attacker got the npm token in the first place: by injecting a prompt into a GitHub issue title, which an AI triage bot read, interpreted as an instruction, and executed. (March 2026)
Commenti