An almost unknown movie from the 70s that was not released in any cinema.
It was believed to be lost, but some geeks found a copy and remastered it, discovering an enigma still unresolved.
I want to tell you the mysteries that surround it 🧵👇
Oh! And yes, believe it or not, the mythical Dana Vargan appears in this film. Dana passed away in 2018 without a journalist ever being able to get a word out of her about her role in "The Artifact".
I don't want to give you spoilers about the plot of the movie, but those of you who have seen it know that it is crazy. It just does not leave indifferent.
The psychological terror it achieves in some scenes for me is close to Lovecraft's cosmic horror.
It's amazing.
The film revolves around an oopart object, a term used in conspiracy theories to describe objects that do not fit human chronology.
In the film, the oopart is a monolithic structure that arises spontaneously in a Louisiana swamp.
The structure seems to have a life of its own and alters the perceptions of anyone who comes near it. Haunting them in their dreams and drawing them like moths to the light.
But what's surprising is that the monolith acts as a kind of "lottery" dimensional portal: sometimes it transports them to places where they find ruins of an apparently extinct alien civilization.
Locations scattered throughout the galaxy on moons, asteroids, planets... even on a Dyson sphere!
The reason why this civilization became extinct is one more enigma posed by the film.
And sometimes, the monolith transports them to nightmare places...
Anyway, I've done too much spoiler already, hehe. Let's go with the mysteries that surround the film, which is where the most interesting lies...
"The Artifact" has a dark behind-the-scenes story.
As I mentioned, during the filming they ran into various issues that resulted in the film never being released in theaters.
The 1st and least important is that Bertram Wolf, its director, came from the porn industry. Perhaps because of this or because of the transgressive environment of the late 70's, "The Artifact" has a very high erotic charge... And one of the most lurid lesbian scenes in cinema.
This caused several American religious groups to try to sabotage the shoot at all costs: they put enormous pressure on the crew, going so far as to harass some of the actors in the street and prevent it from shooting for several weeks.
But this is nothing. The real problem was the fact that several people died under mysterious circumstances during the filming.
Daniel Dacosta, the lead actor, was found dead in his hotel room with no apparent explanation. The autopsy could not determine the cause of death.
He was simply lying on his bed, in the same position in which he fell asleep.
Sudden death, although unlikely, exists. But... there were two other deaths exactly the same!
The second death, a few days later, was that of one of the sound technicians, who accidentally fell from scaffolding on the set. Although at first it was believed that it was an accident, when the body was examined, it was ruled out that the fall was the cause of death.
The third and final death (and the one that finally stopped filming) occurred the next day.
Lisa S. Washington, the supporting actress, was found dead in the bathroom of the hotel where the film crew was staying, sitting on the toilet.
Once again: sudden death.
This was the straw that broke the camel's back (there are even some scenes shot with the stand-in lead actor from the previous weeks). But after this, the producers, who already had more than considerable losses, decided to cancel the project.
Wait, there's more!
In the forums for conspiracy theory lovers, they flirt with the idea that all these deaths may have something to do with the film's screenwriter: Thomas Ridley.
I could dedicate an entire thread to Thomas Ridley, for the many enigmas that revolve around him.
We will leave it at this: he assured in numerous interviews that he suffered a traumatic experience at the age of eight when he was abducted by aliens. 🛸👽
Well, I think another important detail is that a month after the movie was cancelled, he disappeared under mysterious circumstances in Colombia. never heard from him again.
All this, of course, has been the perfect combination for lovers of the occult and conspiracy to ruminate theories of all kinds.
The most bizarre points to the fact that Thomas, during his abduction, received some kind of information that was latent in his brain.
And that the film would be a warning of something that humanity will experience in the coming years.
Are we ready for the monolith? 😂
And you may be wondering: what is the enigma that the geeks found when they discovered the copy of the film?
Well, this is the strangest thing of all.
When the print of the film was discovered at an antique auction and repaired, one would have expected the film to be incomplete: the last few scenes were never filmed and the final cut was never worked on.
This is something that both the actors and the film crew agree on. The movie was never finished!
But when they examined the found copy they discovered that...
The movie was complete!
In his own weird and twisted way (sometimes you don't even understand what's going on). But complete!
There are even scenes that no one remembers were filmed featuring the actors who died during filming! 🤯
I have the creeps...
The most logical explanation is that, for some unknown reason, the entire crew agreed to lie about what had really happened during filming. The more exotic explanation involves... you know.
In short, "The Artifact" is a strange and twisted film that will not leave you indifferent. Around which an aura of mystery will always revolve and certain enigmas that unfortunately will never be solved. End of thread!
In case anyone new hasn't noticed, this has all been a fictional thread I came up with. Fortunately or unfortunately "The Artifact" only exists in my imagination... and now also in yours.
Important! If you quote the tweet, please do not reveal that it is a fictional thread!
Better: respond by saying that you have seen it too and describing your favorite scene! 😂
The interesting thing is that people get to enjoy it as if it were real until the end. Thank you! 🙏
Looking forward to seeing @waitbutwhy's reaction to the thread!
For those interested in learning how to generate images with AI using #midjourney like the ones in this thread, here's the super bundle I've been working on these months!
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!