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xpl

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www.theguardian.com 1mo ago

Federal judge rules Trump's $100k fee for H-1B visas unlawful

xpl
20pts2
github.com 4mo ago

Show HN: Better HN – Realtime Comment Updates and Cleaner Look

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5pts0
sfstandard.com 1y ago

Star ChatGPT researcher denied green card, enraging tech community

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www.linkedin.com 1y ago

Did you know that USCIS can revoke a previously approved petition?

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aish.com 1y ago

Weaponizing Wikipedia Against Israel

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gist.github.com 1y ago

Show HN: Replace "approve" with "bless" in GitHub UI

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3pts0
gist.github.com 1y ago

Show HN: Chat Mode for Hacker News (Live Comments Updater)

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6pts0
www.wired.com 2y ago

Europe Lifts Sanctions on Yandex Founder – So He Can Build Again

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www.youtube.com 2y ago

Mojo: A meta-programmable Python over LLVM/MLIR for CUDA-level performance

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1pts0
www.telegraph.co.uk 2y ago

Musk considered pulling plug on Ukraine’s Starlink after ‘great talk with Putin’

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www.cnn.com 2y ago

Founder of Tech Giant Yandex Slams ‘Barbaric’ Invasion of Ukraine

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crackernews.github.io 3y ago

Show HN: Hacker News from Alternate Dimension (With Everything LLM-Generated)

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medium.com 3y ago

Yandex open-sources its exabyte-scale big data platform

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medium.com 5y ago

A Coding Interview with GPT-3: Could a Newest AI Get a Job at Google?

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github.com 9y ago

A Free Cryptocurrency Trading Library That Supports 60+ Exchanges

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github.com 11y ago

Useless.js: a new cross-platform toolbox for writing complex web applications

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xpl.github.com 13y ago

Yet another Conway's Life in WebGL

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It made a big difference when it first appeared on the battlefield. Russia has adapted since then, so it's no longer a game changer. But systems like these helped Ukraine hold on, and they continue to do so today.

Their capabilities should saturate at human or maybe above-average human performance

LLMs do have superhuman reasoning speed and superhuman dedication. Speed is something you can scale, and at some point quantity can turn into quality. Much of the frontier work done by humans is just dedication, luck, and remixing other people's ideas ("standing on the shoulders of giants"), isn't it? All of this is exactly what you can scale by having restless hordes of fast-thinking agents, even if each of those agents is intellectually "just above average human".

Is this a joke? If it's not trainable / differentiable when why do it in the first place? It's just as inefficient and inflexible as it gets compared to tool calling — you have to statically bake programs in the weights, model cannot introspect it and modify, it has very limited IO capabilities, bad performance, bad everything. Its like a weird brainfuck-esque VM — cool that you can do it, but for what except some lulz?

But maybe it's just too genius and I don't understand it.

We at Avride are hiring in Austin for a full-time, onsite position.

In this role, you'll help build state-of-the-art 3D data annotation tools that advance autonomous driving.

We're looking for a seasoned UI engineer with a strong React background and relevant experience building highly stateful, low-latency interactive applications. Experience with 3D graphics is a plus.

Apply here: https://job-boards.greenhouse.io/avride/jobs/4012877009

Tesla is famously anything but a car company because their cars are mediocre in every way except the battery range

I can't say that I'm a big fan of this guy... But I can tell you this: I learned to drive only after moving to the U.S. recently, and when I had to choose my first car, I found Tesla to be the best among many I tried. It's just awesome, and I don't even use their FSD, the car itself is superb (at least the latest "3"). Minimalistic, no BS, drives well, quiet, comfortable. The same feeling I had with the first iPhone, compared to other phones.

Why not use actual Ethereum as a base layer? If you want speed, build (or use) an L2 on top of it.

I can hardly see any value in "yet another private blockchain" — just use a database, duh.

GPT-5 12 months ago

They say:

In the API, all GPT‑5 models can accept a maximum of 272,000 input tokens and emit a maximum of 128,000 reasoning & output tokens, for a total context length of 400,000 tokens.

So it's only 270k for input and 400k in total considering reasoning & output tokens.

Only at first glance. It can easily render things that would be very hard to implement in an FPS engine.

What AI can dream up in milliseconds could take hundreds of human hours to encode using traditional tech (meshes, shaders, ray tracing, animation, logic scripts, etc.), and it still wouldn't look as natural and smooth as AI renderings — I refer to the latest developments in video synthesis like Google's Veo 3. Imagine it as a game engine running in real time.

Check out this Russian Telegram channel on AP https://t.me/usadminvisaprocessing/1

There are people who file collective mandamus lawsuits, so you might consider joining one of those groups.

However, from what I've seen, it could be a waste of money, as there isn't convincing evidence that it accelerates AP. These lawsuits usually take many months, and AP often resolves "by itself" before the lawsuit reaches a resolution.

People can jump employers while one H1B

Good luck finding a new employer willing to sponsor your H1B within just 60 days (the grace period allowed before self-deportation) in this job market.

Additionally, switching employers resets your green card approval process (if it has started), which can take years. This serves as a significant disincentive to change employers unless you've already filed your I-485. Considering that an H1B worker has only 6 years to progress through this process, there is even more pressure to avoid changing employers.

I was responding to the comment regarding "how about the top 0.1%". H-1B isn't designed for bringing the 0.1%, there are other visas that already do exactly that. Also, it is not so high bar, I know people even without a degree who got O1, it isn't even a requirement. But you need to have a public track record of various kinds.

Also, I am not against visas intended to fill labor shortages. But it needs to be done in a way that incentivizes hiring local talent over foreign. Currently the H-1B works the other way around. This has to be dealt with. Like raising the minimum salary, making it significantly more expensive to hire an H-1B worker than a local one, and removing the exploitative leverage employers have over visa holders — people shouldn't have to fear negotiating for better terms due to the threat of deportation. That would likely fix it.