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39 votes
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We're launching Stargate Norway, OpenAI's first AI data center initiative in Europe under our OpenAI for Countries program
9 votes -
No, of course I can! Refusal mechanisms can be exploited using harmless fine-tuning data.
9 votes -
Japan has successfully used drones to trigger and guide lightning strikes - and keep flying
22 votes -
A nonsense phrase has been occurring in scientific papers, suggesting artificial intelligence data contamination
53 votes -
I have no idea to advance in my career toward data science
I did a masters in data analytics, and then the niche I fell into in the working world was building dashboards, reports and spreadsheets of financial data for non-technical bureaucrats. Instead of...
I did a masters in data analytics, and then the niche I fell into in the working world was building dashboards, reports and spreadsheets of financial data for non-technical bureaucrats. Instead of ensuring data quality by technical means, my current company often just has me manually reviewing and checking financial data. This is pretty frustrating to me because I have no education in finance, and the things I miss or get wrong are so second nature to my boss that he doesn't even see them as something I should have been trained on. The only technologies I use are SQL server and excel. Any proactive steps I've made to automate processes has been discouraged as not worth the time.
I'm aware that most people spend years on tedious stuff before ever getting to work with more engaging technology, but honestly I'm starting to wonder if they've forgotten I'm not a finance guy. I want to move up in my career especially to escape my current role, but I'm feeling completely lost as to how. There's no obvious role in my company that could be a 'next rung of the ladder' to advance into, so there's nobody I can emulate to help chart a course. My boss had an unconventional path to his current role, and isn't really into manager stuff like career mentoring, so he's no help in that regard.
To anyone with experience in data science, what is the advancement supposed to look like? What are the key skills I should be developing? Am I being too averse to learning the subject matter of the data I'm working on? Any insight is appreciated!
13 votes -
Show Tildes: we built the world's first legal AI API
22 votes -
The birth and glory of Swedish computers
7 votes -
How to be a wise optimist about science and technology?
7 votes -
In memoriam: Thomas E. Kurtz, 1928–2024
14 votes -
Phonetic matching
10 votes -
Google, Microsoft, and Perplexity promote debunked scientific racism in AI search results
22 votes -
US National Security Agency releases footage of Rear Admiral Grace Hopper speech from the 1980s
32 votes -
AI makes racist judgement calls when asked to evaluate speakers of African American vernacular English
23 votes -
Solving a couple of hard problems with an LLM
13 votes -
Lynn Conway, trailblazing trans computer scientist, dies at 85
22 votes -
Surveilling the masses with wi-fi-based positioning systems
15 votes -
What is your favorite project that you worked on when first learning to code?
I went to university for computer science up until the pandemic started. It was great. I remember working on so many projects that were basic but a lot of fun and others that were a lot more...
I went to university for computer science up until the pandemic started. It was great. I remember working on so many projects that were basic but a lot of fun and others that were a lot more complex but still fun and rewarding. For example, one of the staples of beginner projects is Conway's Game of Life. I remember building that in HTML, CSS, and Java Script. One of my other favorite projects was a website for alum to visit to see alumni news and events, and also to lookup other alum.
What were your favorite projects when learning to code?
10 votes