I often see synthetic data conflated as if it were equivalent to new real-world samples. In reality, when a model generates synthetic data from its own learned distribution, isn’t it just rearranging the information it already captured? Could an expert explain—using principles of information theory—why synthetic data might still improve a model’s performance despite not providing genuinely...
I’ve noticed a sudden spike of anti-India posts on Reddit, X, Instagram right after the recent tensions with the West (Canada dispute, BRICS event). I suspect it’s not entirely impossible that there is a nation-state funded psyops campaign behind this.Anyways, do you know if there are any existing tools or if anyone is solving the problem of detecting psyops campaigns?
Just for work culture, I’d have preferred to work at Google or Facebook for upto 30% pay cut. So with policies like this, I’d imagine people who don’t quit are the ones who can’t quit. Maybe that’s fine for Amazon. They diversified the workforce geographically