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This is a quick test of a new card feature for this blog…
Hopefully the resulting cards will be full of interesting content and slightly more noticeable than just a link with a bit of text.
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What could possibly go wrong: New York May Require a Background Check to Buy a 3D Printer
https://gizmodo.com/new-york-bill-criminal-background-check-buy-3d-printer-1850930407
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Easy Answer: American direct messages are measured in imperial units.
https://reddit.com/r/NoStupidQuestions/s/jcvjpY5Qtn
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All these infosec professionals suddenly “Signal bug? What Signal bug?”
No wonder IT people tend to identify with cats. Specifically: cats which just fell off a table.
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As a software developer, this resonates…
What happens when I embed a post from threads? https://www.threads.net/@lucas_a_meyer/post/CyZyCvXL-Rf/?igshid=NTc4MTIwNjQ2YQ== By age 40 a developer should have:
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Discovering that your Bluetooth car battery monitor is siphoning up your location data | lovely bit of reverse engineering
I may try to obtain one of these devices for a home lighting project. https://doubleagent.net/2023/05/21/a-car-battery-monitor-tracking-your-location.html
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Stuff to Read: Students’ New Surveillance State | University of Virginia School of Law
https://www.law.virginia.edu/news/202309/students-new-surveillance-state
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Wikimedia DNS | in case you missed it, the Wikimedia foundation are now offering secure DNS
https://meta.wikimedia.org/wiki/Wikimedia_DNS
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Stuff to Read: Mistranslation of Newton’s First Law Discovered after Nearly 300 Years – Scientific American
https://www.scientificamerican.com/article/mistranslation-of-newtons-first-law-discovered-after-nearly-300-years1/
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Stuff to Read: LLM now provides tools for working with embeddings
https://simonwillison.net/2023/Sep/4/llm-embeddings/
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Stuff to Read: Distance Metrics in Vector Search | Weaviate – vector database
https://weaviate.io/blog/distance-metrics-in-vector-search
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Twitter Community Notes: How the Algorithms work | and therefore how to game them
Once again, it is worth reminding ourselves that the “left vs right divide” was not in any way hardcoded into the algorithm; it was discovered emergently by the calculation. This suggests that if you apply this algorithm in other cultural contexts, it could automatically detect what their primary political divides are, and bridge across those too. https://vitalik.ca/general/2023/08/16/communitynotes.html