> the dataset includes names, work emails, phone numbers, job roles, and other employment details for frontline agents and support staff—a level of detail that has alarmed officials concerned about the safety and privacy of federal employees and their families
Worth noting that all of the information specified is public information and the people it concerns are public officials.
I go to therapy and she is constantly asking me how I feel and sort of guiding my breathing.
I go to Krav Maga also and sometimes we're going pretty hard and fast striking repeatedly. It can be so tiring, but I find I can enter a zone where I am breathing deeply and slowly while going even faster or harder after I've noticed that I'm tired.
I am a lead software engineer with 12 years of experience and a recent master's degree in cybersecurity.
I use GitHub CoPilot everyday. I usually limit it to a fancy auto-complete. It's really helpful for repetitive refactor tasks, I just have to go to each line and it updates. This way I still see what's happening, but it is faster than manually making those changes that can't be solved with a find and replace.
Sometimes I fight CoPilot because it will continue to suggest something I do not want to do. In those instances I code faster as to outpace the AI's latency.
Other devs are building MCP servers to help access our tools for AI integration. Devops seems heavy on spec driven and test driven development through AI. The spec driven development looks interesting, but a bit of overhead to get started.
Our company has an AI first directive right now where we're supposed to use AI for everything and see what works. I somewhat disdain it, but it's also fun to have a directive to try new things indiscriminately (using AI). The more I drink the Kool aid, the better it tastes.
Often advocacy groups or municipalities will perform counts on specific days each year.
So while one does not need to say "literally" in that sentence (it wasn't figurative, after all), it is possible to say "zero homeless folks" as there may be data backing the statement up.
Yes- I live in a pretty affluent Los Angeles suburb and we recently just hit "functional zero" street homelessness.
"To achieve Functional Zero, the number of individuals placed in interim or permanent housing must be greater than the number of individuals who become homeless over a six-month period, and the homeless population, as a whole, must have a median duration on the streets of less than 90 days."
The data is gathered by the city as well as local nonprofits.
We're building AI workflows at my company. Yes chatbots, but also more interesting/complex workflows that I won't get into. Let's just say we have the data, expertise, and industry structure to leverage AI in valuable and useful ways.
As an engineer, development still comes down to requirements gathering, solid engineering principles, and the tools we already have at our disposal - network calls, rendering the UI, orchestrating containers and job, etc.
All that is to say that I thought AI was going to be sexy, like Westworld, and not so boring...
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