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.
> 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.
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.
Why? Aren't L1 and H1B "dual intent" visas?