There's a derisive term 'limousine liberals' that fits the bill here.
5,069 karma · joined July 18, 2012
For every depressed westerner posting doom and gloom online like this, there are a million people who have been lifted out of poverty and into the middle class and have experience upward mobility like nothing else in history.
My friends in China show me entire cities that didn't exist 20 years ago but now have millions of people whizzing around in high speed trains, driving electic cars and making 20-30x what their parents used to make.
My home town in India went from having a one-lane road when I was growing up to being connected to a national highway, an international airport and a subway.
The town I lived in the Middle East in the 90s now peppered with skyscrapers and factories and one of the largest ports in the world.
Meanwhile, my neighborhood in the Bay Area complains about building a new apartment complex and looks pretty much like what it did in the 1970s. And then people write blog posts about how nothing is improving.
Maybe it's time to look outside your narrow viewpoints and realize there's world outside that has changed dramatically and you're left behind.
that matches my experience working at 2 non-public venture funded companies.
Or the Chinese in the last 5 years like they have done in Europe and rest of the world.
From 8 June 2022, RBI allowed the linking of RuPay credit cards with India's Unified Payments Interface (UPI). In the absence of a physical card, customers can use their credit limit through for transactions.
From the article:
A coming YouTube feature, called “shows,” can automatically queue the next episode on a channel, rather than serving whatever the recommendation algorithm thinks you’ll like best from billions of options.
Ha, you're right:
https://www.planespotters.net/photo/1640095/n486hf-intel-air...
https://www.planespotters.net/photo/355961/n386ch-intel-air-...
There's even a 286: https://www.planespotters.net/photo/1738295/n286sj-intel-air...
https://www.yahoo.com/lifestyle/no-way-back-1-15m-120000548....
~50% in India: https://www.pymnts.com/mobile-wallets/2023/cash-not-king-in-...
~60% in Brazil: https://www.pymnts.com/mobile/2025/payment-glitches-stall-br...
Similar trends in Africa, though exact numbers were harder to find: https://www.finextra.com/blogposting/27913/africa-the-unlike...
https://www.npr.org/2024/06/04/nx-s1-4983722/inside-spirit-a...
The 737 assembly happens in Renton, WA
e.g. it's labeled with An AI generated impression of activities at the “Fat Factory” site. The image was generated with the assistance of OpenAI's ChatGPT (version 4o, 2025), and subsequent modification and retouching by a graphic designer | Quelle: F. Scherjon | Copyright: F. Scherjon, LEIZA-Monrepos
at
https://nachrichten.idw-online.de/2025/07/02/neanderthals-ra...
It had the following tools and abilities: * Tools for keeping notes and preserving important information to be checked later—for example, the current balances and projected cash flow of the shop (this was necessary because the full history of the running of the shop would overwhelm the “context window” that determines what information an LLM can process at any given time);
Page 9: There is no deterministic path from model memorization to outputs of infringing works. While we’ve used probabilistic extraction as proof of memorization, to actually extract a given piece of 50 tokens of copied text often takes hundreds or thousands of prompts. Using the adversarial extraction method of Hayes et al. [54], we’ve proven that it can be done, and therefore that there is memorization in the model [16, 27]. But this is where, even though extraction is evidence of memorization, it may become important that they are not identical processes (Section 2). Memorization is a property of the model itself; extraction comes into play when someone uses the model [27]. This paper makes claims about the former, not the latter. Nevertheless, it’s worth mentioning that it’s unlikely anyone in the real world would actually use the model in practice with this extraction method to deliberately produce infringing outputs, because doing so would require huge numbers of generations to get non-trivial amounts of text in practice