davideg
Joined 17 years ago
Joined 17 years ago
These are in the top left hamburger menu from the Home dashboard (edit: actually on all pages).
The bottom line:
> if a website cannot reliably detect a VPN user's true location and the law requires it to do so for all users in a particular state, then the legal risk could push the site to either ban all known VPN IPs, or to mandate age verification for every visitor globally.
Clearly anyone slightly sophisticated can bypass restrictions like this. A quick search reveals https://github.com/shadowsocks. This only harms regular users who might benefit from privacy. The dystopia levels continue to rise...
We can't have nice things without paying for them. People who believe they are self-sufficient seem to ignore all the public infrastructure that keeps society and the economy moving (e.g. roads, emergency response/firefighters, schools, parks, libraries, etc).
Imagine how much more entrepreneurial people could be if taking big big financial risks didn't have dire consequences like not having access to health care.
No one loves paying taxes, especially when you don't agree with ways it's spent, but that means we need to fix politics and spend money better rather than denying that society needs financial contributions from almost everybody to function.
> if run at full strength for a year, Colossus [xAI's new datacenter] would use as much electricity as 200,000 American homes. When fully operational [...] this facility and two other xAI data centers nearby will require nearly two gigawatts of power. Annually, those facilities could consume roughly twice as much electricity as the city of Seattle.
> Even conservative analyses forecast that the tech industry will drop the equivalent of roughly 40 Seattles onto America’s grid within a decade; aggressive scenarios predict more than 60 in half that time.
> [...] by 2030, U.S. data centers will consume more electricity than all of the [USA]’s heavy industries [...] put together.
Basically it boils down to the US meeting this electricity need using natural gas and fossil fuels (with nuclear as an eventual goal) and China moving at a similar pace using renewables. Of course the AI companies on the west coast don't have to experience the pollution such energy demand brings to the communities nearby the power and data center facilities.
I'll save you a search: https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/
LinkedIn post: https://www.linkedin.com/posts/michaelperoff_uspto-ttabvue-p...
Website: https://twitter.new
I took the Scheme path and feel great about having a deep theoretical foundation in CS, but I know plenty of folks who started with the fun/shiny stuff and became amazing software engineers. So all in all I'm really glad they gave us a choice.
I will admit that there were people in my classes who didn't really understand what they were getting themselves into and possibly would have benefited from starting with Python or Java and getting more inspired about building cool projects. It really was a YMMV ¯\_(ツ)_/¯
> Since I’m relatively new to the world of containers and images, I was excited to learn about the Buildah tool. Especially since I’m a native New Englander and it’s a clever play on how we say Builder in these parts. [0]
[0] https://buildah.io/blogs/2017/06/22/introducing-buildah.html
The demo is showing System One producing its output in parallel very quickly and for little cost compared to an LLM generating its answers token-by-token. The "noul" type is used to evaluate a yes/no question and return the probability that the answer is yes.
So this demo is showing System One offering much more nuanced responses and specific probabilities compared to an LLM's more crude responses (e.g. LLM shows "true" or "false" compared to "0.9" or "0.07" probabilities that the answer to some question is true).