Secretary of War Tweets That Anthropic is Now a Supply Chain Risk
This is the long version of what happened so far.
This is the long version of what happened so far.
The writer Tyler Austin Harper (of The Atlantic, etc.) sent me a thread this morning, asking whether a mistargeting yesterday that killed nearly 150 school children in Iran could have been the result of AI.
We will learn a lot about Silicon Valley in the upcoming days
”No LLM, anywhere, in its current form, should be considered for use in a fully lethal autonomous weapon system. It's ludicrous even to suggest it.”
Will AIs be jealous of one another?
Will 2026 be looked back on as the pivotal year for making decisions about the singularity?
I always wanted a personal knowledge assistant based on my notes. One that uses Obsidian’s backlinks and connections to surface ideas I’ve forgotten or never thought to link together. So I built one. A RAG system that runs locally with DuckDB as a vector database, then syncs to MotherDuck for a serverless web app running entirely in the browser via WASM. Think of it like J.A.R.V.I.S1 for your markdown files: search about a topic, and it shows connected notes up to two hops away, semantically…
This is a follow-up to my part 1 of Switching macOS to Arch Linux with Omarchy, where I documented my first months with Arch Linux and [[Omarchy]], after switching from 15 years of using macOS and Windows on and off at work since 2003. Back then, I had a checklist of basics I needed before I could commit to Linux as a daily driver: Obsidian, a Raycast-like launcher for fuzzy finding files and folders, screenshots (Snagit), daylight adjustment (f.lux), calendar events in the top bar. Those were…
How can you quantify creativity?
Why is StarRocks gaining popularity among data engineers who need fast analytics on large-scale data? To find out, I did a deep dive on the companies actually using StarRocks in production, interviewing engineers and studying technical case studies from Coinbase, Pinterest, Fresha, Grab, TRM Labs, and Shopee. They all share a similar pattern: customer-facing analytics on Snowflake got too slow, and they needed sub-second query responses without heavy pre-denormalization in Flink or Spark.
Plus, a story about agents corrupting other agents
Is superintelligence a phase change or a gradual shift?