The ‘Cursed’ AI of June 2022: Why We Actually Miss the Weird Era of AI Art

Do you remember where you were in the summer of 2022? For many of us, it was the exact moment we had our very first hands-on experience with generative AI.

Recently, a viral post on the r/artificial subreddit titled ‘June 2022, my first AI interaction’ brought all those memories flooding back. The user shared an early AI generation of ‘Seth Rogen winning Wimbledon’ to highlight the historical artifacts of that era. The result? An absolute fever dream of blurred features, extra fingers, and a vaguely recognizable celebrity face melting into a tennis trophy.

It was hilarious, it was slightly terrifying, and looking back, it was a golden era of internet culture. Let's take a deep dive into generative AI history to see how we went from those glorious meme generators to today's hyper-realistic tools—and why so many of us are actually feeling nostalgic for the flaws.

The Golden Age of ‘Cursed AI Images’

If you were active on social media in mid-2022, your feed was likely flooded with grids of bizarre, low-resolution images. Early AI image generators like DALL-E mini (which was later rebranded as Craiyon) and Midjourney v1 became massively viral.

This early AI art was characterized by severe anatomical distortions. The models famously struggled with human faces, consistently turning teeth into horrifying, jagged fences and rendering hands with seven or eight melted fingers.

But instead of rejecting the technology, the internet embraced it. Reddit users on r/artificial have recently expressed strong nostalgia for these highly distorted, ‘cursed’ images, describing that specific era as ‘so much fun.’ The comments section of the Seth Rogen Wimbledon AI post is filled with users eagerly sharing their own bizarre early generations. One memorable example shared by a user was ‘Novak Djokovic winning his 10th Australian Open,’ which featured the tennis star sporting a strange, terrifying set of grillz instead of a normal smile.

How Did the Tech Evolve So Fast?

When we look at the AI image generator evolution, the leap from mid-2022 to today feels like a century of progress crammed into just a couple of years. AI researchers view mid-2022 as a critical cultural inflection point. It was the exact moment generative AI transitioned from quiet academic research into loud, mainstream internet culture.

So, what specific architectural changes in diffusion models solved the ‘distorted face and hand’ problem seen in June 2022?

Early models simply didn't have the vast parameter count, the deeply refined training datasets, or the advanced contextual understanding of human anatomy that today's models possess. Early diffusion models were essentially guessing pixel patterns based on broader, less refined associations. Today, tech analysts note that the rapid improvement in these models has shifted AI from being a viral meme generator to a professional-grade creative tool. Modern state-of-the-art models have largely solved these early distortion issues, producing highly photorealistic images that contrast sharply with those 2022 outputs.

Can You Still Make ‘Cursed’ Art Today?

This rapid maturation brings up a fascinating question: Is it possible to intentionally force modern AI models to replicate the ‘cursed’ aesthetic of 2022?

Surprisingly, it is actually quite difficult! Today's models are heavily fine-tuned for aesthetic perfection and anatomical accuracy. If you prompt a modern model for ‘Seth Rogen winning Wimbledon,’ you will likely get a flawless, magazine-quality editorial photo of the actor in pristine tennis whites, holding a perfectly rendered golden trophy, complete with realistic depth of field and perfect lighting.

To get the 2022 look today, you almost have to trick the AI, using prompts like ‘low quality, distorted, surreal meme, bad anatomy’—and even then, the AI often tries to make the ‘bad’ art look intentionally stylized rather than genuinely broken.

What We Lost in the Name of Perfection

While the community shares a collective sentiment of ‘look how far we have come’ when comparing the flawed outputs of 2022 to the hyper-realistic AI of today, there is a lingering sense of loss.

When AI was unpredictable, every prompt felt like pulling the lever on a slot machine. You never knew exactly what kind of hilarious, nightmare-inducing image was going to pop out. It was a shared cultural experience where the mistakes were the main feature, not a bug.

Today, generative AI is a powerful, serious tool used by marketers, designers, and artists. The magic is still there, but the chaotic, harmless fun of the DALL-E mini era has been replaced by sleek, corporate efficiency.

I would love to hear about your experiences! What was your very first AI interaction? Dig up your oldest, most cursed prompts and share them in the comments below, or try running those exact same 2022 prompts through today's modern generators just to see the wild side-by-side comparison.