Which IG did anyone say it was okay to fire? The article you posted to support this idea wasn’t even fired! He’s still in the job.
It seems that you are primarily interested in polarizing this discussion. I’ll leave you to that. I’m out.
Which IG did anyone say it was okay to fire? The article you posted to support this idea wasn’t even fired! He’s still in the job.
It seems that you are primarily interested in polarizing this discussion. I’ll leave you to that. I’m out.
https://www.politico.com/news/2024/10/03/watchdog-report-cuf...
Cuffari is STILL the IG at DHS. He was not fired -- sheesh:
For instance, I am fiddling with LineageOS on a Pixel (ironically enough) that minimizes my exposure to Google's AI antics. That doesn't mean to say it is easy or sustainable, but enough of us need to stop participating in their bad bets to force upon that realization.
Python is extremely suitable for these kind of problems. C++ is also often used, especially by competitive programmers.
Which "non-mainstream" or even obscure languages are also well suited for AoC? Please list your weapon of choice and a short statement why it's well suited (not why you like it, why it's good for AoC).
One difference is that the few on the right that I know (I’m sure a biased sampling) think that what Trump did is wrong but those on the left seem to have forgotten all about Obama’s deals or worse they think that its kosher.
The presidential libraries, the foundations, the speaking fees, the books, the revolving door between companies and regulators - was it any different in essence?
Genuine question: How is it possible for OpenAI to NOT successfully pre-train a model?
I understand it's very difficult, but they've already successfully done this and they have a ton of incredibly skilled and knowledgeable, well-paid and highly knowledgeable employees.
I get that there's some randomness involved but it seems like they should be able to (at a minimum) just re-run the pre-training from 2024, yes?
Maybe the process is more ad-hoc (and less reproducible?) than I'm assuming? Is the newer data causing problems for the process that worked in 2024?
Any thoughts or ideas are appreciated, and apologies again if this was asked already!