1/ The Fairness of High-Skilled Immigrants Act, 2019, or #HR1044/#S386, which would've removed country caps on green cards in the US for Indian and Chinese nationals, particularly bringing the wait time for Indians from 150yrs to ~10...
2/ ... was blocked in the Senate by Sen. Dave Perdue after bipartisan support in the House. If you were Indian and moved to the US for an undergraduate degree in 2001, you'd be 36, have spent half your life in the country and not have a green card.
3/ You might be married with kids but if you lose your job, you might have to leave your family after paying for a college degree and 14yrs worth of usually fairly high taxes. Isn't that absurd?
4/ Despite being Indian, and a beneficiary of this bill, there are problems with this bill. One, most Indians in the backlog are not high skilled tech workers, but cheap outsourced labour from IT consultancies like Wipro and Infosys.
5/ Two, without a smoother cap removal transition plan, this would essentially flood the green card quota with Indians for the next ~10yrs, throttling competent candidates of other nationalities.
6/ If those two issues are fully addressed, I this bill will be unanimously favored and @sendavidperdue will let it pass and hopefully Trump will sign it!
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🚨 This was the BEST Google I/O that I can remember.
Google launched over 12 different insane things.
Here is every single one of the launches and the best tweets about them:
1/12
The future of building software.
LLMs are pretty good at generating code, but they're slow. Gemini Diffusion is 10-15x faster than autoregressive models by using diffusion, which used to be for images. This is the 2nd model after Mercury Small to show this.
Google, Microsoft, Apple, Tesla, Meta, Nvidia and Palantir - the biggest tech employers have collectively stagnated headcount, data shows.
This is why CS majors can’t get jobs. Bigtech hypergrowth era is over.
Here's why:
1/4
— They overhired in the pandemic (2020-2022) during zero interest rates
— Revenue growth of several consumer software products peaked in the pandemic but slowed after it was over
— Higher interest rates force CFOs to juice operating margin
2/4
— Cost of capital shot up and many had to place high capex bets in gen AI infra (chips)
— AI productivity gains
Is this the new normal? Does Microsoft having 400k vs 200k people actually 2x the business?
Google's new AI image editing model is going to kill 99% of Photoshop.
By just describing your image edit in English, you can:
— get passport picture from photo
— make me look like I'm on my way to work
— decorate this house for me
— put these clothes on me
— make a map in a game from these sprites
— animate this sprite
— combine all these faces together
— show this model holding my product
— make me bald / give me hair
You can access Gemini Flash 2.0 experimental on Google AI studio.
Some clarifications:
- Meant to say 545% "cost" profit margin, which is ~85% profit margin
- Realized revenue could be less given how much traffic might go through app / web
"Finish the text:
> Be me
> L3 at Meta / Google
>"
Okay I decided to do something that turned out better than I thought. Ran the same prompt for L4-L12.
For those who don't know, you start at L3, L5 is Sr, L6 is Staff / Manager, L7 is Senior staff, L8 is director, L9 is senior director, L10 is VP, L11 is SVP, L12 is CEO