Vidu just scored another huge round of funding. Money's still pouring into the video generation scene like crazy.

Text-to-video is getting a ton of capital moves lately—Vidu just closed another funding round, and on the flip side, that Huanlema thing is confirmed to be Alibaba’s product. Money and big tech are all piling in, which means everyone’s betting this line won’t hit a ceiling anytime soon.

What I’m more curious about is whether the model iteration pace will speed up noticeably after the funding hits, 'cause in this field, it’s like a major version every few months—fall behind and you’re out. Being tied to a big tech name has its perks too, like unlimited compute and distribution, so they can sustain the long burn.

The real turning point probably isn’t about who launches first, but who can nail generation stability and cost down to a scalable level.

Having a big company backing you is key here — indie teams just can’t afford to burn through that kind of compute power.

Having more funding doesn’t automatically make your model better, but at least it keeps you alive long enough to keep iterating.

Man, new version drops every few months, chasing the latest update is exhausting.

Stability and cost are the real barriers to scaling up — you hit the nail on the head there.

All the money’s going to the big players, making it even tougher for small teams to survive.

Honestly, the computing power under Alibaba’s name is no joke—you never have to worry about running out.