Of course they weren't. How could they be if the AI used was not designed for that purpose and could not be fed with all the necessary input data?
The problem was that I didn't add a clear disclaimer at the beginning of the thread. Something like:
"Here's a half-hour NOT FORENSICALLY CORRECT experiment with MidJourney, to visually dream with the possibilities. No mummies suffered in the process. Come on in and enjoy!"
The fact is that, after spending a year non-stop experimenting with AI, sometimes I forget that not everyone who follows me understands that my intention is none other than to experiment with this technology in all possible ways and tell you all about it.
I enjoy it and many of those who follow me too. Fantasy or not.
Nevertheless. Could AI be used to generate scientifically correct reconstructions?
Of course yes, as in the rest of the fields, AI could also be applied here.
But not with #midjourney: it's not made for this. MJ already does many wonders, don't ask it that much.
We would need a specific AI, trained for this purpose, that could receive all the necessary data from the input. Among others: examinations of the skeletal remains (CT-scan or X-ray tomography), examinations of the preserved soft tissues, anatomical criteria, etc.
Disclaimer (just in case): I'm not an expert in forensic reconstructions, so I can't correctly list all the inputs that would be needed. You have to be careful on Twitter :)
The input data and the results of existing real works would be especially useful for training the model.
This could be done, so that it would be a significant sample to be able to feed the model, with blind tests: tests that are currently carried out in which input data is given to a professional (who does not see the photograph of the person trying to reconstruct )...
...but works with only the input data until it generates a 3d render or illustration. Finally, the result is compared with the real photograph of the person, to see if the process followed was correct or not.
It's not trivial, but a model trained on enough such examples, together perhaps with current diffusion models, could, hypothetically, do a very decent job of face reconstruction.
I don't think it's far away the day we see something like this.
And hey, I don't see anyone's work threatened: even with a great leap in automation and time savings, human supervision, touch-ups, adjustments, etc. will still be needed.
Well, let's go!
Now what I promised you: paint and color with @javilop!
Let's rebuild NON-FORENSICALLY reliable mummies!
The tool I used is midjourney.com. Interestingly, it is used from their Discord channel and/or by talking directly to their bot (if you upgrade to one of their paid plans).
For these "reconstructions" it is necessary to use an init image (the mummy). In this other thread I already explained how this could be done.
You will see that they all follow the same scheme.
1️⃣. Ramses II
Younger! Just change the age in the prompt, et voila!
2️⃣. The surfer guanche.
You were looking forward to it, I know.
By the way, in the professional reconstructions it seems that he actually had brown hair... although in the English Wikipedia they say: "including brown red hair"... so who knows.
3️⃣. Tollund Man.
Or at least, his head.
4️⃣ Lady Rai.
5️⃣. Menmaatre Seti I.
Tip: You can refine the image by using the image generated in the previous step as the input image. The prompt is the same, but in successive iterations it can acquire new nuances:
Utilicé la misma técnica para la segunda imagen de Lady Rai. Mi favorita de todo el hilo.
Thanks for reading!
Can't wait to see your mummies come to life! Show them to me!
And if you want more curious things, sometimes reliable, sometimes not, sign up to my newsletter. An easy RT to the 1st tweet of the thread would also motivate me 🙏 Thx!
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!
The VFX team of Here (directed by Robert Zemeckis and starring Robin Wright & Tom Hanks) used Magnific for their FX 🤯
To break it all down (+more), I interviewed VFX supervisor Kevin Baillie! 🧵👇
An incredibly exciting conversation where @kbvfx shares how he got started in the world of VFX, his career journey, what it’s been like working with directors like George Lucas and Robert Zemeckis, and the impact of generative AI in Hollywood plus much more!
So happy to finally be able to share the details!
I've been biting my nails for months but we weren’t allowed to make it public until NOW. Huge thanks to Kevin, finally!
As a co-founder of Magnific, seeing our creation used in a film directed by Robert Zemeckis (Back to the Future, Forrest Gump, etc.) is a dream come true.
We've always known that Magnific is a tool used by professionals (Dior, MrBeast, Adobe, Beeple, etc.), but seeing something this incredible with our own eyes makes it all feel so much more real.
You have no idea how happy this has made me. I don’t think I’ve felt this proud since that one time, by some miracle, I beat Emilio at Age of Empires.
Anyway, I won’t ramble on. Here are the questions Kevin was kind enough to answer, you won’t want to miss them!
Today, I’m going to talk about something we might be able to achieve, though maybe humanity should never even try:
A method for an AI to gain consciousness and reach the status of a superintelligence (ASI).
A theory I’ve been working on for months 🧵
Index – In case you want to jump straight to a section:
0️⃣ Introduction
1️⃣ The foundation of current AI models
2️⃣ What is consciousness?
3️⃣ How to create a self-aware AI?
4️⃣ Singularity / ASI
5️⃣ Moral implications
6️⃣ Risks
0️⃣ Introduction
I’ve been thinking about this idea for a long time, slowly working through its foundations.
Let me start by saying I am NOT a researcher a this is NOT a paper. While I’ve been close to the theory behind foundational AI models, my knowledge has its limits.
The idea I’m about to share is ridiculously simple and it could be VERY wrong.
But what if, against all odds, it really IS as simple as what I’m proposing?
Criticize the idea, not the person: I’d love to hear your thoughts and debate. Thanks!