This startup seems to have been at it a while.

From our look into it - amazing speed, but challenges remain around time-to-first-token user experience and overall answer quality.

Can absolutely see this working if we can get the speed and accuracy up to that “good enough” position for cheaper models - or non-user facing async work.

One other question I’ve had is wondering if it’s possible to actually set a huge amount of text to diffuse as the output - using a larger body to mechanically force greater levels of reasoning. I’m sure there’s some incredibly interesting research taking place in the big labs on this.

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IanCal 8 hours ago | parent [-]

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.

	▲	cataflutter 7 hours ago \| parent \| next [-]
		Weird; I clicked through out of curiosity and didn't get any corruption of the sort in the end result. 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).
	▲	nl 5 hours ago \| parent \| prev [-]
		Mercury 2 is better than that in my testing, but it does have trouble with tool calling.