[flagged]
That's the good thing about conspiracy theories. Hard to falsify.
Funny how skepticism disappears when billionaires dismantle democracy—that's just "innovation," right?
61–70 of 404 posts
[flagged]
That's the good thing about conspiracy theories. Hard to falsify.
Funny how skepticism disappears when billionaires dismantle democracy—that's just "innovation," right?
This tells me all I need to know: # Read the CSV file df = pd.read_csv(csv_file) Thanks for the explanatory comment Jordan /s
Generating boring one off analysis scripts is the best use case for AI code writing, so can’t fault them for doing so. For serious projects I found LLMs—even cutting edge Claude Sonnet 3.7 in agent mode—just can’t generate a large amount of code with the level of consistency and quality I expect and fixing such code is barely faster than writing it myself with AI autocomplete. But little scripts that I throw away aft…
This tells me all I need to know: # Read the CSV file df = pd.read_csv(csv_file) Thanks for the explanatory comment Jordan /s
You can even tell that's ChatGPT rather than, say, Claude. Redundant obvious comments are a stylistic signature of their models.
The comments that are most likely to correlate strongly with the code are the useless redundant ones.
A surprisingly large amount of data one might think is classified is not at all. In this case all the examples listed are from freely available public data outside of the Twitter thing which seems to be just setting up the environment for some local tool. Here are the sites: --- datacatalog.worldbank.org opendata.arcgis.com mrdata.usgs.gov / www.usgs.gov --- Sharing things like this isn't very useful because it just…
A bit more on Jordan Wick: https://therevolvingdoorproject.org/doge-agent-jordan-wick/ I'm a bit on the edge regarding to why someone on DOGE should collect data on critical infrastructure, even if it's available to the public audience for free. I'm also quite worried by the possibility to filter federal workers based on the union status
Well, from a purely day-to-day, operational HR standpoint, that information is important. Like many things, in the wrong hands it’s easily abused.
[flagged]
A surprisingly large amount of data one might think is classified is not at all. In this case all the examples listed are from freely available public data outside of the Twitter thing which seems to be just setting up the environment for some local tool. Here are the sites: --- datacatalog.worldbank.org opendata.arcgis.com mrdata.usgs.gov / www.usgs.gov --- Sharing things like this isn't very useful because it just…
Sadly his github is now private and the archived pages are mostly previews, not full repos.
Just search for forks: https://github.com/PatrickFanella/x-dm-downloader for example. We will probably have a short while (day or two) before false DMCA notices about this are actioned by GitHub
A bit tangent, and since I’m an outsider who doesn’t live in the states and have no skin in the game — my understanding is, they will do literally anything to make sure DOGE succeeds, because a failure is basically unacceptable. I can’t even imagine how you can backtrack this, and fix stuff up. They obviously prepared for it months in advance. Targeting ex-employees of successful product companies and putting them in…
For example, they canceled invasive species control programs for the Great Lakes. Is it a success that they saved a modest amount of money, while letting the condition of the lakes further erode?