Sora: Not Dead, But Nobody’s Watching

Sora isn't dead - hype faded because content is short, uniform, and full of artifacts. Learn why Sora's videos fail to retain viewers and how to revive it.

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Remember when OpenAI dropped those Sora demo clips and everyone lost their minds? 🤯 That cinematic lady walking through Tokyo, the woolly mammoths, it felt like we were watching the future get invented in real time. And then… nothing. The hype just evaporated. I was genuinely curious about it, kept checking in, messing around with AI video tools, and at some point I just stopped caring. Not because the technology got worse. Because the content got boring. 👋

So has Sora died already? That’s what I want to get into, because I think the answer is way more interesting than people realize.


  • Sora’s hype died fast not because the tech failed, but because the content it produces is monotonous, short, and riddled with visual artifacts that kill the novelty
  • The “Sora style” is already a cliché—everything looks like the same cinematic stock footage, with zero variety compared to TikTok or YouTube
  • Clip length is a dealbreaker: five-second AI videos can’t compete, and until we get consistent 40+ second clips nobody’s sticking around
  • Creators using custom local models (like Corridor Digital) are producing far better results than off‑the‑shelf tools—hinting at where the real future is
https://www.youtube.com/watch?v=

Is Sora still relevant in the age of advanced AI?

The Novelty Wore Off. Fast.

Here’s what happened with AI video generation and it’s the same thing that happens with every flashy tech demo: the first time you see it, your brain goes *holy crap*. The second time, you notice things. Third time? Bored.

Exploring the fate of sora and ai videos
Is sora still relevant in the age of advanced ai?

I went through this exact cycle. When Sora first started getting attention it was gonna be the next big thing, the next everything, and it was swinging for the fences making its own app and all that. Interesting concept. But then nobody really talks about it independently anymore. People take things from Sora and put them on other platforms, but the whole point was supposed to be living on its own platform. That was the play.

I was actually using Sora like it was supposed to be used for a while. And then I kind of stopped. The video processing is so interesting and realistic at first, and then you start picking up on the subtle stuff and it just doesn’t feel as interesting anymore.

This isn’t unique to Sora either. Every generative AI video tool—Runway, Pika, Kling, whatever—follows the same diminishing returns curve. The wow factor has a shelf life of about 72 hours before your brain recalibrates and starts spotting every weird hand, every melting face, every physics-defying shadow.

The Artifacts Are the Problem (And They’re Everywhere)

Let me be real: the artifacts became too evident. And I’m not talking about minor stuff you need to freeze-frame to catch. I’m talking about the kind of visual glitches that yank you out of whatever you’re watching.

Objects morph into each other. People sprout extra fingers. A dog’s legs just… do something wrong. Physics stops making sense for half a second and your brain flags it immediately. Once you see it, you can’t unsee it. That’s the thing about AI video artifacts—they create this uncanny valley effect that makes you uncomfortable rather than entertained.

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Did You Know?

Even OpenAI’s technical report notes that Sora struggles with simulating complex physics and can confuse spatial relationships (like left vs. right) or lose cause‑and‑effect over longer sequences.

And look, I get that the tech is improving. Google’s Veo is in the mix. China’s Kling claims it can generate up to two minutes of 1080p video. But “improving” and “watchable” are different conversations. Nobody sits down to watch a video and thinks, “well, the artifact count was lower this time, three stars.”

The Real Issue: Everything Looks the Same

This is the part that bugs me the most and I think it’s the thing that actually killed Sora’s momentum more than anything technical.

It’s all the same style.

Every Sora clip has this hyper-clean, cinematic, slightly dreamlike look. It’s gorgeous the first time. By the fiftieth time, it’s visual wallpaper. There’s even a whole conversation about whether the “Sora look” is already a cliché—and yeah, it is.

Compare that to YouTube, TikTok, or Instagram: someone films handheld in their kitchen, then a polished studio production, then a screen recording, then a chaotic meme edit. That range of visual styles keeps your brain engaged.

Sora doesn’t have that. It’s so very common, so typical. On something like YouTube or Instagram or TikTok there’s such a wide style of content, not just a variety of subject, but the style is so varied that makes it very interesting. And I don’t think Sora has that because it’s all the same. The same style.

That sameness is a content problem, not a tech problem. And content problems are harder to fix because you can’t just throw more GPUs at “boring”.

Five Seconds Isn’t Enough for Anyone

Alright, here’s another thing that really stood out to me: the clips are just too short.

OpenAI says Sora can technically generate videos up to a minute long, but most of what circulates are these tiny five‑to‑ten second bursts. Even TikTok and Reels—platforms built for short content—tend to be a little longer and meatier.

PlatformTypical Content LengthStyle VarietyUser Retention Driver
TikTok15-60 secondsExtremely highAlgorithm + diverse creators
Instagram Reels15-90 secondsHighVisual variety + social graph
YouTube Shorts15-60 secondsHighDiscovery + creator ecosystem
Sora / AI Video5-20 secondsLow (uniform aesthetic)Novelty only
Caption: AI video clips are shorter and more visually uniform than even the shortest mainstream content formats.

I genuinely believe that if you could get a consistent 40‑second clip with minimal artifacts and real stylistic variety, that’s when an app like this could really pop off. But we’re not close to that right now.

Some People Are Getting It Right (Just Not With Sora)

There are AI videos with barely any artifacts that are actually interesting to watch. And it’s funny because the people making the best stuff usually aren’t using Sora, Veo, or other big-name consumer tools.

I was thinking about this—there’s that group… I think it’s the Door Brothers? No wait, not the chemical—it’s that creative studio that makes really cool videos. They’re almost certainly Corridor Digital, and what they’re doing is fundamentally different from off‑the‑shelf AI video workflows.

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Success!

The best AI video today comes from creators who treat generative AI as one tool in a larger pipeline—combining fine‑tuned local models, custom datasets, traditional filming, editing, and VFX—to achieve results general‑purpose tools can’t match.

That gap between what dedicated studios can produce and what the average person gets from typing a prompt into Sora is enormous—and not closing soon.

So Is Sora Actually Dead?

Here’s the correction: Sora did launch publicly in December 2024 as part of OpenAI’s “12 Days of OpenAI”, available to ChatGPT Plus and Pro subscribers. So when people ask “is Sora dead,” what they really mean is: did the hype die?

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Warning

When Sora launched publicly, demand spiked hard and briefly overwhelmed servers—but the launch‑day frenzy faded fast, and sustained engagement has been modest.

The hype didn’t fade because OpenAI messed up or the tech broke. It’s because AI video content right now—no matter the tool—just isn’t interesting enough to make people come back: artifacts are obvious, clips are short, and the look is uniform.

Why People Think Sora Failed vs. What Actually Happened

Why People Think Sora Failed

  • The tech doesn’t work
  • The app flopped
  • Nobody uses it
  • Competitors killed it

What Actually Happened

  • The tech works, but artifacts still break immersion
  • Sora launched publicly in Dec 2024, but retention dropped quickly
  • Initial demand was huge, but ongoing use stayed low
  • Veo/Kling exist, but they face the same content issues
Do you ever get confused by ai tools; feel like they overpromise yet underdeliver; or wonder if the hype is really worth it? 🤔
Do you ever get confused by ai tools; feel like they overpromise yet underdeliver; or wonder if the hype is really worth it? 🤔

Frequently Asked Questions

Yes. As of December 2024, Sora is available to ChatGPT Plus and Pro subscribers through sora.com. Plus gets limited credits; Pro gets more, and access now extends beyond safety testers.

OpenAI currently advertises up to 20 seconds at 1080p (or shorter at higher resolutions). Earlier research mentions 60 seconds, but the public product caps below that due to high compute costs.

Runway Gen‑3 and Kling are strong options alongside Sora, and Pika is handy for quick tests. But none are consistently artifact‑free—expect to generate multiples and cherry‑pick.

Not soon. The best studios use AI as one tool in a bigger workflow (shooting, editing, VFX, and model fine‑tuning). “Type a prompt, get Netflix quality” is still science fiction.

Models and datasets converge on a clean, high‑contrast, “cinematic” aesthetic. True style diversity usually needs fine‑tuning or custom local models—exactly what the best creators are doing.

Where This Goes From Here

Is Sora dead? The tech isn’t dead—the interest is. That’s a tougher fix than any rendering pipeline or diffusion architecture.

If someone cracks 40+ seconds with minimal artifacts and real stylistic variety, everything changes. Right now, it’s a bunch of five‑second clips that all look the same—and people don’t want to watch that.

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