695 karma · joined October 29, 2012
Also, is there any read on the downsides / shortcomings / caveats of Octane vs. vanilla React?
Why? Aren't L1 and H1B "dual intent" visas?
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".
But maybe it's just too genius and I don't understand it.
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
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.
"Weaponizing Wikipedia Against Israel" https://aish.com/weaponizing-wikipedia-against-israel/
I can hardly see any value in "yet another private blockchain" — just use a database, duh.
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.
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.
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.
IANAL so do your own research. Google "covered expatriate".
Better interpretability, I suppose. Could give insights into how cognition works.
Oh, that reminds me of the prosthetic leg joke from 'Guardians of the Galaxy'. So it was a reference?