Yesterday wrote some spaghetti SQL with numerous CTEs with a “final” CTE at the end so I could get a grip on the results. I was getting confused and things weren’t matching my expectations.
Wrote up a stupidly basic desired end state and data model that could get me there, coded it up in dbt-duckdb, and clarified all of my confusion.
The terrible human toll in Gaza has many causes.
A chilling investigation by +972 highlights efficiency:
An engineer: “When a 3-year-old girl is killed in a home in Gaza, it’s because someone in the army decided it wasn’t a big deal for her to be killed.”
An AI outputs "100 targets a day". Like a factory with murder delivery:
"According to the investigation, another reason for the large number of targets, and the extensive harm to civilian life in Gaza, is the widespread use of a system called “Habsora” (“The Gospel”), which is largely built on artificial intelligence and can “generate” targets almost automatically at a rate that far exceeds what was previously possible. This AI system, as described by a former intelligence officer, essentially facilitates a “mass assassination factory.”"
"The third is “power targets,” which includes high-rises and residential towers in the heart of cities, and public buildings such as universities, banks, and government offices."
It was easier to locate the individuals in their private houses.
“We were not interested in killing operatives only when they were in a military building or engaged in a military activity. On the contrary, the IDF bombed them in homes without hesitation, as a first option. It’s much easier to bomb a family’s home. The system is built to look for them in these situations.”
Does anyone have a good source of best practices for using #ChatGPT in programming, particularly #RStats / #DataScience to give our students? (My own advice would be "don't", but they will use it anyway so harm reduction might be the best policy).
I found a profile for a database tech company that's relevant to my employer's business. I saw they had about 70 followers so curious who was using them I opened about 10 of their profiles. What I found was only 2 of the 10 had posted anything in the last month. Most had not posted anything in months if not since last year.
Actors #naming in EU laws:
"The end user and recipient of the service are both natural and legal persons using a certain service. However, the #DSA recipient of the service can be a person acting in a personal or commercial/professional capacity whereas the #DMA end user can only be a person acting in a personal capacity."
In 2020, the EU-level judiciary decreed #SchremsII whereby customers of US cloud service providers must themselves verify the data protection laws of the recipient country, document its risk assessment and confer with its customers.
In 2021, various French-state-level authorities stated that #MSOffice365 did not conform (to doctrine and #GDPR) or that secondary education schools should avoid it. 👇
Storing data in "the Cloud" legally constitutes data processing.
#MicrosoftOutlook: "Synchronisation with the Microsoft server" transfers your data to Microsoft.
The German Federal Commissioner for Data Protection and Freedom of Information, Ulrich Kelber, described the data collection as "alarming" and announced his intention to pursue at European level: https://social.bund.de/@bfdi/111381793883035665