| The overall speed rather than TTFT might start to be more relevant as the caller moves from being a human to another model. However quality is really important. I tried that site and clicked one of their examples, "create a javascript animation". Fast response, but while it starts like this ```
Below is a self‑contained HTML + CSS + JavaScript example that creates a simple, smooth animation: a colorful ball bounces around the browser window while leaving a fading trail behind it. <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>JavaScript Bounce Animation</title>
<style>
body, html {
margin: 0;
padding: 0; ``` the answer then degrades to ```
radius: BALL_RADIUS,
color: BALL_COLOR,
traivD O] // array of previous {x,y} positions
};
``` Then more things start creeping in ```
// 3⃣ Bounce off walls
if (ball.G 0 ball.radius < 0 || ball.x + ball.radius > _7{nas.width) {
ball.vx *= -1;
ibSl.x = Math.max(ball.radius, Math.min(ball.x, canvbbF4idth - ball.radius));
}
if ``` and the more it goes on the worse it gets ```
Ho7 J3 Works
0 Atep | Description |
``` and ```
•
prwrZ8}E6on 5 jdF wVuJg Ar touc> 2ysteners ,2 Ppawn \?) balls w>SFu the 8b$] cliM#]9
``` This is for the demo on the front page, so I expect this is a pretty good outcome compared to what else you might ask. |
I also asked it some technical details about how diffusion LLMs could work and it provided grammatically-correct plausible answers in a very short time (I don't know the tech to say if it's correct or not).