Estonians were truly ahead of the #AI curve: "in Estonia [the *Kratt*, a golemesque creature] is used as a metaphor for AI and its complexities. For instance, algorithmic-liability law is also called the Kratt law."

and

"An interesting aspect of the kratt is that it was necessary for it to constantly keep working, otherwise it would turn dangerous to its owner."

https://en.wikipedia.org/wiki/Kratt

The #AI benchmark that matters

https://github.com/petergpt/bullshit-benchmark

New `\glitch{}` #latex command just dropped to freak out your coauthors. Tells exactly how the paper is going.

https://gist.github.com/statzhero/ea4e485e7ab1b0cc2e76ba4f6de94579

Today, Anthropic released Claude Opus 4.6 with a #Finance plugin. I tested it on capitalizing VW's R&D expenses. In one vague prompt I got a full spreadsheet with amortization schedules and ROIC calculations.

The usual #AI pros and cons apply also for Claude Finance (as of today): it is remarkably fast and capable, but still requires supervision and will make mistakes. The spreadsheets look spiffy though.

statzhero.github.io/ulrichatz/blog/opus-finance.html

One of the greatest tools for scientific production relaunched: #Zotero 8.

https://www.zotero.org/blog/zotero-8/

Sure, buddy.

#rstats #mcp