Midjourney, DALL•E 3 and GPT-4 have opened a world of endless possibilities.
I just coded "Angry Pumpkins 🎃" (any resemblance is purely coincidental 😂) using GPT-4 for all the coding and Midjourney / DALLE for the graphics.
Here are the prompts and the process I followed:
First of all, would you like to play the game?
Here's a link! (Currently, it doesn't work on mobile):
If you read the text below the game screen, which provides explanations, you'll see how you can create your own levels and play them! :) bestaiprompts.art/angry-pumpkins…
💡 Introduction
I have to admit, I'm genuinely blown away. Honestly, I never thought this would be possible. I truly believe we're living in a historic moment that we've only seen in sci-fi movies up until now.
These new work processes, where we can create anything using just natural language, are going to change the world as we know it.
It's such a massive tidal wave that those who don't see it coming will be hit hard.
So... let's start riding the wave!
🎨 Graphics
This was the easiest part, after all, I've been generating images with AI for over a year and a half :) Here are all the prompts for your enjoyment!
👉 Title Screen (DALL·E 3 from GPT-4)
- "Photo of a horizontal vibrant home screen for a video game titled 'Angry Pumpkins'. The design is inspired by the 'Angry Birds' game aesthetic but different. Halloween elements like haunted houses, gravestones, and bats dominate the background. The game logo is prominently displayed at the center-top, with stylized pumpkin characters looking angry and ready for action on either side. A 'Play' button is located at the bottom center, surrounded by eerie mist."
👉 Backgrounds (Midjourney)
I used one image for the background (with several inpaintings):
- "Angry birds skyline in iPhone screenshot, Halloween Edition, graveyard, in the style of light aquamarine and orange, neo-traditionalist, kerem beyit, earthworks, wood, Xbox 360 graphics, light pink and navy --ar 8:5"
And another, cropped, for the ground:
- "2d platform, stone bricks, Halloween, 2d video game terrain, 2d platformer, Halloween scenario, similar to angry birds, metal slug Halloween, screenshot, in-game asset --ar 8:5"
👉 Characters (Midjourney)
- "Halloween pumpkin, in-game sprite but Halloween edition, simple sprite, 2d, white background"
- "Green Halloween monster, silly, amusing, in-game sprite but Halloween edition, simple sprite, 2d, white background"
👉 Objects (Midjourney)
I created various "sprite stylesheets" and then cropped and removed the background using Photoshop/Photopea. For small details, I used the inpainting of Midjourney.
- "Wooden box. Item assets sprites. White background. In-game sprites"
- "Skeleton bone. Large skeleton bone. Item assets sprites. White background. In-game sprites"
- "Rectangular stone. Item assets sprites. White background. In-game sprites"
- "Wooden box. Large skeleton bone. Item assets sprites. White background. In-game sprites"
- "Item assets sprites. Wooden planks. White background. In-game sprites. Similar to Angry Birds style"
🤖 Programming (GPT-4)
🔗 Full source code here:
Although the game is just 600 lines of which I haven't written ANY, this was the most challenging part. As you can see, I got into adding many details like different particle effects, different types of objects, etc. And to this day, we're still not at a point where GPT-4 can generate an entire game with just a prompt. But I have no doubt that in the future we'll be able to create triple AAA video games just by asking for it.
Anyway, back to the present, the TRICK is to request things from GPT-4 iteratively. Actually, very similar to how a person would program it: Starting with a simple functional base and iterate, expand, and improve the code from there.
Let's see some tricks and prompts I used:
👉 Start with something simple
- "Can we now create a simple game using matter.js and p5.js in the style of "Angry Birds"? Just launch a ball with angle and force using the mouse and hit some stacked boxes with 2D physics.
👉 And from there, keep asking for more and more things. And every time something goes wrong, clearly explain the mistake and let it fix it. Patience! Examples:
- "Now, I ask you: do you know how the birds are launched in Angry Birds? What the finger does on the screen? Exactly. Add this to the game, using the mouse."
- "I have this error, please, fix it: Uncaught ReferenceError: Constraint is not defined"
- "I would like to make a torch with particle effects. Can it be done with p5.js? Make one, please."
- "Now, make the monsters circular, and be very careful: apply the same technique that already exists for the rectangular ones regarding scaling and collision area, and don't mess it up like before. 😂"
👉 This part took us (GTP-4 and me) many iterations and patience.
- "There's something off with the logic that calculates when there's a strong impact on a bug. If the impact is direct, it works well, but not if it's indirect. For example, if I place a rectangle over two bugs and drop a box on the rectangle, even though the bugs should be affected by the impact, they don't notice it. What can we do to ensure they also get affected when things fall on top of a body they are under?"bestaiprompts.art/angry-pumpkins…
And that's it. Happy Halloween! 🎃👻
Follow me at @javilopen for more posts like this. If you enjoyed this tutorial, a repost would be greatly appreciated and would encourage me to share more tutorials. Thanks! 👇
There's no way Hollywood won't be affected by this.
I created this whole scene in less than 2h using Veo 3 (AI video), Magnific (upscaling), Suno (music, except the first 3s 😉) and CapCut (editing).
The Cambric Explosion of content has already started!
Full tutorial 👇
1. Idea
I've had this idea (a mood) of mixing a 7-eleven at night and a 🐲 for over 2y now.
The concept came to me then, but it wasn't until now that I've been able to bring it to life visually.
Veo 3 feels like being back in Apr 2022, when DALL·E 2 hit my brain like a truck.
2. Video generation using Veo 3 inside Freepik (not yet available but soon)
I used ChatGPT to craft all the prompts and then did all the video generation inside Freepik using Veo 3.
Something I've learned is that Veo 3 can handle really long and complex prompts, so don't hesitate to use very detailed descriptions to express the vision you want to create.
Example:
"Close-up shot of a pair of hands reaching toward a dusty black tome resting on a low shelf inside a dimly lit 7-Eleven. The book has a worn leather cover with a flaming dragon etched in glowing, fiery lines across the front. Above the image, an unreadable title is inscribed in ancient golden runes. The hands pick up the book slowly and carefully, as if sensing its weight and age. At the edges of the frame, part of a red puffy vest is visible over a faded denim jacket and a plaid shirt sleeve, revealing just enough of the young man’s layered clothing to hint at his presence."
This is a side of me I don’t usually share publicly: my investment thesis based on my vision of the future. Because investing is exactly that: a bet that we’ll be able to guess the future.
Go grab a coffee, ‘cause this one’s gonna be long. It’s been a while since I put this much effort into a thread:
1. 🔮 My predictions.
• AI and everything that supports it (GPUs, datacenters, etc) will keep growing exponentially and steadily over the coming years, impacting every field of human knowledge.
• In the near future, every work process that happens in front of a computer will be affected by AI (if not completely swept away). And soon after that, every process that happens away from a computer too, thanks to robotics. And when AI and robotics converge, we’re in for some very interesting times (hopefully not terrifying).
• Pay close attention to what I’m about to say, it might blow your mind: I believe software (and a big chunk of audiovisual entertainment) will become a commodity, like electricity. Which means all the digital tech value will be concentrated in just a few companies: those who win today’s multimodal LLM race and those who provide the infrastructure they run on. You might understand this better if you imagine a world where you can just say: “I want a SaaS like this site” or “make me a movie in this style with my dog as the main character” and an LLM creates it on the spot, with a quality far beyond today’s best productions. Basically, I believe all logic and visual layers will be run on advanced LLMs we can barely imagine today. So, building apps/webs/entertainment the way we do now will stop making sense, and the ability to do so will be concentrated in companies with the best LLMs and the compute power to run them at scale. We’ll choose between “AI providers” based purely on price, and not so much on features/capabilities (just like we do today with electricity companies; or like PS vs Xbox if they get some exclusive IPs that make a difference).
2. 💰 My general investment thesis.
• There will be investment opportunities in everything that drives this paradigm shift (AI itself), but also in things that will still exist with or without AI (like food, real estate, or tourism (though I won’t cover these here, even if they’re still interesting and I might invest in them outside the stock market).
• As for AI, I’ll invest in both the “gold hunters” 🥇 (the companies in the race to build the foundation models) and the ones selling picks and shovels ⛏️ (the companies building the hardware and infrastructure that make AI possible).
• Trying to “time the market” to find the perfect entry point is impossible. But there are some strong signs that the market is currently overvalued (see attached screenshot, data from CurrentMarketValuation).
• Concentrating your investment increases potential return, but also the risk. And vice versa.
3. 💸 My specific investment thesis.
• I want very high concentration in AI companies and everything that supports it, both in pre-IPO and in public markets.
• I think not only the US, but also China, will play a huge role in AI’s future. I have less faith in my dear Europe, because of its obsessive regulatory spiral and its ink-stained bureaucrats. Yes, I believe the US and China will devour the AI pie. But with China I sadly assume regulatory risks, so I won’t go above 10%-20% exposure in my portfolio.
• I don’t want to go all in at once in case the market is, in fact, overvalued: so I’ll be investing through monthly/quarterly contributions (TBD) over the next 5-6 years. In other words, I’ll avoid Lump Sum and follow a DCA (Dollar-Cost Averaging) strategy. This also lets me easily tweak the strategy later through future contributions if my portfolio drifts off course. Detail: historically, Lump Sum performs better... except when you hit the market at its peak. And since all signs point to us being maybe too high right now, I don’t want to risk it.
• But I don’t do trading. I actually DON’T believe in trading. Over 90% of active traders underperform the market in the long run. Even professional fund managers can’t consistently beat a simple index like the S&P 500 or MSCI World. So my plan is to build the portfolio over time, according to the weights in the screenshot, and never sell (unless I ever really need the cash). If anything, if I see the market drop hard, I’ll “buy the dip” and invest 2x or 3x the regular amount to take advantage of the discounts.
• Related to the above: author funds and picking individual stocks usually perform worse on average than simply indexing. So I want at least 70% of my portfolio to be indexed. But I’ll trust my own judgment and pick a few individual ones (30% of the portfolio). Again, I’m not planning to buy and sell often, just enter regularly over time.
• TER (fees) of funds and ETFs are super important and should be studied carefully. If not, they’ll eat you alive long-term. I’ve looked for the best products that match my thesis, but also the cheapest ones.
• I prefer accumulation over distribution for tax efficiency (I want at least 75% of my portfolio in accumulation stocks/ETFs). Long live compound interest!
• In Spain, moving between funds doesn’t trigger taxes (until you sell). The only downside is that fees are several points higher. But I want to keep at least a portion in funds so I can move things around easily and tax-free if needed.
• I think some of the best opportunities aren’t in public markets, but in pre-IPOs. I’ve managed to get into OpenAI, xAI, SpaceX, Freepik and Canva. I’d love to get into Anthropic, Inflection AI, Cohere, Hugging Face, Cerebras and Midjourney if I ever get the chance. If the stock market is already risky, the barrier to entry and risk for pre-IPOs or startups is way higher.
4. 🤯 Key risks to keep in mind.
• If you run this investment thesis through Gemini, Grok or ChatGPT’s deep research mode, their heads will explode 😂 (yep, I’ve tried them all, of course, I actually built this AI-focused portfolio partly using AI). Any LLM will lose its mind over the extreme AI concentration in this portfolio. If you concentrate, you increase risk but also potential return. If you diversify, you reduce risk but also reduce returns. I chose the former and I’m okay with the risks.
• “IE00BLRPRL42 (similar to TQQQ but accumulation)”: not for the faint of heart. It’s leveraged 3x, can go up fast... but also vanish at the speed of light.
• Cathie Wood’s ARKs are risky by nature. “Author ETFs” tend to underperform index funds, so they’re a risky bet on extreme concentration.
• KSTR is a Chinese AI companies ETF. Many are opaque, government-dependent, and vulnerable to sanctions or bans.
• The fact that I chose to enter gradually (DCA) means I’ll need to stay alert and rebalance in the future, sell duds before they crash and keep an eye especially on author ETFs and individual stocks. No one wants a 3dfx or a BlackBerry in their future portfolio... but it’s sooo easy to end up with one!
5. 🦄 Disclaimer: this is *definitely* not investment advice.
These are just my personal predictions about the future (which I might totally get wrong, because predicting the future is nearly impossible) and my investment thesis based on those predictions, which I decided to share. You’d be nuts to take this as investment advice. Everyone should make their own decisions.
So... how’s your brain doing after all that? Can’t wait to hear your thoughts!
Just reply with your own image of the next frame you imagine.
I’ll be selecting the images and adding them to the thread so you’ll know what’s “canonical story”.
Finally, I’ll interpolate all the frames into a full video. Let’s see where this goes!
Style: "Retro tech-noir anime, like Akira, Ghost in the Shell, or Cyber City Oedo 808: cool tones and neon lights, strong shadows, intense expressions, and a futuristic, dark, and dramatic atmosphere."
Generate any image controlling structural integrity ✨ Infinite use cases! Films, 3D, video games, art, interiors, architecture... From cartoon to real, the opposite, or ANYTHING in between!