Javi Lopez ⛩️ Profile picture
Apr 13, 2023 32 tweets 11 min read Read on X
"American Girl in Italy" (1951) is one of the most iconic photos of all time.

It tells a powerful story and raises big questions: is it a staged scene? were these men harassing the girl?

I'm going to tell you the true story behind this photo 🧵👇 Image
First, take a look at it. It's fascinating. It's so rich in details that someone could become mesmerized admiring it for a long time. The girl's face is a poem.

Any photographer would kill to be able to take a photo like this at least once in their life.

It's a work of art.
The photo was taken by photographer Ruth Orkin in 1951 in Italy.

Ruth was a woman ahead of her time: at 17 years old, she got up one day, grabbed her bike, and rode across America from LA to New York, photographing her journey.

She had a natural gift.

📸 Bicycle Trip 1939 ImageImageImageImage
Later on, she worked at MGM Studios as the first female messenger.

She wanted to become a director of photography, but she left the position after discovering the discriminatory practices of the union, which did not allow women to be members.

📸 MGM messenger girl Image
In 1941, during World War II, she enlisted in the Women's Auxiliary Army Corps 👩🏻💪 Image
In 1943, she moved to New York to work as a photographer at a nightclub.

Her first big break came in 1945 when she photographed Leonard Bernstein for the New York Times.

Each of her photos is an ode to life. They caress the strings that make the human vibrate. They live. Image
From that point on, she had an intense career as a freelance photographer for LIFE, Look, This Week, etc.

And in 1949, she began to experiment with color. Image
The editor of Ladies' Home was looking for "unknown beauties," and Ruth told him: "Not only have I photographed a beautiful girl who isn't a model, but she's also doing something that all your readers will be able to identify with."

📸 She introduced the world to Geraldine Dent. ImageImage
Throughout her career, Ruth photographed many celebrities. Among them were Einstein, Orson Welles, Alfred Hitchcock, and Marlon Brando. ImageImageImageImage
Ruth's life makes for a long read. But I want to return to the initial image.

Ruth, after a magnificent career, spent the last years of her life teaching photography in New York. She passed away in 1985 after a long battle with cancer.

📸 Comic book readers Image
Let's return to the mysteries of the first photo: I know you're still reading because you want to know them.

The girl photographed is Ninalee Craig. An American who was 23 years old at the time of the photo.

📸 Jinx with statue Image
Ruth and Craig met by chance at a post office in Florence.

It was the place that was used not only for sending letters and telegrams, but also for making phone calls and exchanging money before the era of communications.

📸 Treasure Tours Image
Craig, after saving some money, had traveled through Europe visiting France, Spain, and England before settling in Florence to study art.

At that time, it was unusual to find Americans in Europe. Especially young women traveling alone.
Orkin and Craig became friends immediately, especially after finding out they were both staying at the same hotel where they paid $1 a night (meals included) and shared a passion for travel.

📸 Couple in MG Image
They were sharing experiences of traveling alone when Orkin had an idea: "Let's go!", she said, "let's go out and take pictures of what it's really like."

So the next morning, around 10, they both went out into the streets of Florence. Craig would be the "model".
The photo of Craig walking by the men that starts this thread was one of the first pictures they took.

Ruth didn't know it yet, but on her film roll was a gem that would withstand the test of time and become an icon.
With this, I reveal one of the mysteries: it was not a staged scene in a studio, but it was sought after during their walk through Florence.

"They had a lot of fun, as shown by the photograph where she looks at the statue," Orkin's daughter commented in her biography. Image
For two hours, they continued capturing familiar scenes from that time in Italy: cafes, statues, squares, cobblestone streets.

Craig as the protagonist in all of them.

After this, they said goodbye and their paths separated... for a long time. Image
Over time, the photo became an icon.

Craig passed away at the age of 91 in 2018. Throughout her life, she was asked many times:

"Were you afraid in the photo? Were you feeling overwhelmed? Were you annoyed because you couldn't walk down the street in peace?" Image
To which Craig always replied:

"No! I was excited. I was having the time of my life. I was Beatrice walking through the streets of Florence. I felt as if at any moment I could be discovered by Dante himself."
Craig's photo walking down the street reflects the cultural customs of the time. In Craig's words:

"Public admiration shouldn't make you nervous. Eyeing up the ladies is a popular, harmless, and flattering pastime that you'll find in many [...]" Image
[...] foreign countries. Gentlemen tend to be more boisterous and demonstrative than Americans, but they don't have bad intentions."
"It's far from what we tell women these days, but for its time, the mere idea of encouraging women to travel alone was progressive."

📸 Jinx in goggles Image
"That's what made the photos so special. They offered an uncommon view of two women, behind and in front of the camera, challenging gender roles of the time and enjoying every minute."

📸 Jinx and cars Image
"I look at my photo, and it takes me back to that moment. It was wonderful. I was an art student. I had no worries. I was 23 years old, and I had the world in the palm of my hand."

📸 Jinx at AMEX Image
Craig had an intense life. She joked that it had been "several lives in one."

First in Italy after marrying an Italian, then in Canada with her second husband, and finally, she was drawn to the emerging art scene in Toronto and found her home there.
Craig loved to talk about her six months in Europe and the day she met Orkin, a kindred spirit whose photos were able to capture the spirit of the time.

📸 Early NY Color Image
After this first meeting, Orkin and Craig met again many years later in the United States and became lifelong friends, until Orkin's death in 1985.

"She was an amazing woman," Craig said of Orkin. "We had a great time together."

📸 Boy Jumping Image
After the mysteries of the photo have been solved...

END OF THREAD

Remember to live your life with intensity. We only have one.

Thank you!
If you enjoyed it and would like me to continue writing similar threads, an RT on the first tweet of the thread will encourage me to keep doing so. Thanks! 😉👇

If you don't mind being shocked, you may also enjoy this other thread of mine 👇

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More from @javilopen

May 25
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."Image
Read 9 tweets
May 22
Just got access to Veo 3 and the first thing I did was try the Will Smith spaghetti test. SOUND ON
Spaguettis are so cooked. But flamenco is so back!

"A dog dressed as a female flamenco dancer dancing flamenco on a tablao in a bar in Seville."

😅😂
One of my usual favourite tests. The soldier riding a dog during WW2.
Read 24 tweets
Apr 29
⚡ IT'S FINALLY HERE!

F-Lite: our first foundational model for image generation. A collaboration between Freepik ♥️ Fal.

• Open Source
• Fully commercially usable
• 10B parameter DiT trained on 80M images
• Trained with 100% licensed data

Link + info 🧵👇 Image
We’ve been secretly working on this for months! It feels good to finally share it!

LINKS:

• Regular version: more predictable and prompt-faithful, but less artistic: fal.ai/models/fal-ai/…

• Texture version: is more chaotic and error-prone, but delivers better textures and creative compositions: fal.ai/models/fal-ai/…

• Paper: github.com/fal-ai/f-lite/…

Enjoy!Image
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Congrats to @cloneofsimo, @ivanprado, @kuer5ord, @info_libertas and the rest of the team that built this model from scratch!

I did nothing except to test it 😍 Image
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Read 7 tweets
Apr 15
🦾 Skin in the AI game

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!Image
Image
Link to my portfolio:

docs.google.com/spreadsheets/d…
Follow me at @javilopen if you found this interesting!

And a repost to the first post is always welcome 😜 Thanks! 👇
Read 4 tweets
Apr 3
⚡ Let's play a game!

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! Image
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."
Frame 2: (by @billywoodward)

Aspect ratio should be 9:16 👌 Image
Read 8 tweets
Feb 27
IT'S FINALLY HERE!

🔥 Mystic Structure Reference! 🔥

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!

Details & 12 tutorials 🧵👇
Available NOW at Magnific 🪄 for all users! 👇

magnific.ai
Super easy to find:

👉 Magnific > Mystic > Structure reference

Don't forget a good prompt to guide your generation!

ℹ️ Currently Style Ref and Structure Ref can't be used at the same time. We are working on that! Image
Read 24 tweets

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