Deedy Profile picture
Sep 24, 2019 6 tweets 2 min read Read on X
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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More from @deedydas

Dec 17
o1-preview is far superior to doctors on reasoning tasks and it's not even close, according to OpenAI's latest paper.

AI does ~80% vs ~30% on the 143 hard NEJM CPC diagnoses.

It's dangerous now to trust your doctor and NOT consult an AI model.

Here are some actual tasks:

1/5 Image
Here's an example case looking at phosphate wasting and elevated FGF23, then proceeded to imaging to localize a potential tumor.

o1-preview suggested testing plan takes a broader, more methodical approach, systematically ruling out other causes of hypophosphatemia.

2/5 Image
For persistent, unexplained hyperammonemia, o1-preview recommends a prioritized expansion of tests—from basic immunoglobulins and electrolytes to advanced imaging, breath tests for SIBO and specialized GI biopsies—ensuring more common causes are checked first.

3/5 Image
Read 5 tweets
Dec 16
Want to design better AI agents? Take notes from code writing systems.

Techniques include
— Multi-agent
— Tool choice
— Underlying model
— Diff format
— Innovative Signals
— Code retrieval + knowledge graphs
— LSP
— Fault localization

Let's dive deeper with real examples:

1/10
Multi-agent

Use agents with different roles / prompts that have access to different tools and can hand off to another agent.

Some roles used in coding: searcher, planner, reproducer, coder, tester, editor

2/10
Tool choice

Figuring out which agent has access to which tools and designing their inputs / outputs effectively.

Tools: knowledge graph, search, bash commands, edit, run test, bash

3/10 Image
Read 10 tweets
Dec 10
As cool as the new Sora is, gymnastics is still very much the Turing test for AI video.

1/4
Attempt 2.

2/4
Attempt 3

3/4
Read 5 tweets
Dec 10
HUGE Immigration News!

We have the first EVER look at H-1B lottery data. Did you also suspect the lottery wasn't truly random? They're not.

Certain companies like Tiktok and Bytedance have 50% higher odds than average.

I broke it down by nationality, company and age...

1/5 Image
Image
By Age.

In 2024, there were 350,084 applications and 85,304 were selected, a 24.4% acceptance rate.

The process seems to have rampant ageism, with only ages 26-32 having above average acceptance rates.

A 26yo has 50% higher odds than a 36yo+!

2/5 Image
By Country.

Inexplicably, China and Taiwan are the best performing nationalities followed by Iran and Bangladesh (!?). India is below average.

Bangladeshis have 25% more chance of getting an H-1B than an Indian.

3/5 Image
Read 6 tweets
Dec 4
A small company in the <1M city of Niigata, Japan has a monopoly on the equipment that makes every single modern iPhone and TV display on the planet.

Here's the story of Tokki, the most important company you've never heard of...

1/8 Image
Tokki makes just ~10 ELVESS machines a year.

Each one is a clean room within a clean room, stretching longer than an Olympic swimming pool, and can costs $ 100M+. They're the only ones who can do it.

2/8
These machines deposit layers of organic materials 1/2000th the width of a human hair. One speck of dust ruins everything - that's why they operate in vacuum chambers cleaner than an operating room.

3/8
Read 10 tweets
Dec 3
The middle manager is the biggest culprit of the "quiet quitting" SWE epidemic.

They have 0 incentive to fire. The entire job is bargaining for more headcount so they can get promoted.

They'll say "we are understaffed, we need more people" no matter how little they do.

1/4
If you have multiple levels of this, its often dysfunctional down the entire chain.

The non technical middle manager are the worst culprits. ICs can (and will) swindle them endlessly into their infinite timelines. I've never worked with a good one.

2/4
A competent middle manager should be able to do the job of all their reports and say "if you think that takes 2 months, you need to find another job. It shouldn't take more than 2 weeks." (and be right)

Their managers need to keep them accountable for each report.

3/4
Read 4 tweets

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