Rodrigo Guerrero

Cine @ AG Studios Colombia / Instagram: rodrigo_guerrero_rojas

[Weird Old World @Weird_Old_World]

The Nazca geoglyphs can be divided into 4 main categories, each of which can in turn be divided into subcategories.
Each category appears to have been created at different times and/or by different people, given the differences in style and technique, and the fact that they sometimes overlap.
The most famous ones are the figurative geoglyphs representing people or animals (birds, spider, monkey, marine creatures, etc.) created by digging into the ground.

Next we have the lines that can be straight, angled or curved.

Then we have the geometric patterns, often circular, resembling mandalas or targets, created by arranging small stones rather than by digging into the ground.

And finally the large trapezoidal shapes, of which there are probably more than a thousand scattered throughout the entire Nazca plateau.
These trapezoids are sometimes extremely long.
The one I filmed in the video below is about 3 km long and is one of the longest, even though it's technically 2 trapezoids connected by their shorter sides (The junction is at the 2:00 mark in the video)

Their function remains a mystery to this day…

[P.J. Official @PJW_AI]

🎬 Today, we make cinema history.

Announcing LUMINA, the world’s first dedicated theatrical distribution program for AI-generated and AI-assisted films.

AI filmmakers finally have a real home on the big screen.

Here’s what we’ve built 🧵👇

[J Felipe Orozco @jforozcop]

@runwayml https://t.co/4xxTXWFTr1

[TheNewPhysics @CharlesMullins2]

🚨 SCIENTISTS MAY HAVE JUST CREATED A NEW FORM OF COMPUTING BY MERGING LIGHT AND MATTER.

Researchers are now working with exotic “light-matter particles” called polaritons hybrid quantum states where photons and matter act as one single object.

Why this matters:
Traditional AI chips are hitting hard limits:
• skyrocketing power consumption
• massive heat
• transistor scaling walls
• data bottlenecks
Polariton systems could change all that.
Instead of pushing electrons through rigid circuits, they process information using

waves of light delivering:
dramatically lower energy use
ultra-fast parallel processing
brain-like analog computation
true photonic AI hardware

The deeper implication is huge:
The future of intelligence may no longer look like silicon chips.

It may look more like a living quantum wave system where information flows as interference patterns rather than electrical switches.
We could be watching the birth of post-silicon intelligence.

What happens when AI starts computing with hybrid light-matter quantum states instead of ordinary electronics?

[TheNewPhysics @CharlesMullins2]

🚨 SCIENTISTS JUST CREATED MATTER FROM PURE LIGHT.

For the first time in laboratory history, researchers smashed high-energy photons together and directly produced matter and antimatter particles.

No atoms.
No pre-existing matter.

Just light turning into mass.
It’s called the Breit–Wheeler process a phenomenon predicted in 1934…
…but never directly observed in a controlled experiment until now.

Einstein was right all along:
E = mc²
Energy and matter are fundamentally interchangeable.
And now scientists have literally watched light transform into particles.

The experiment used ultra-powerful lasers to collide photons with enough energy to create:
• electrons
• positrons
• bursts of pure matter-antimatter pairs

The deeper implication is staggering:
The solid universe around you may ultimately be condensed energy structures frozen into stable form.

Matter may not be the “base layer” of reality at all.
Light came first.
And under extreme conditions… reality can crystallize directly out of energy itself.

This also mirrors conditions believed to exist moments after the Big Bang when the early universe was so energetic that matter continuously formed from radiation.

We are now recreating pieces of the birth of the universe inside a laboratory.
What happens when humans learn to engineer matter directly from energy at scale?

Follow for more frontier physics and reality-bending discoveries.

[TheNewPhysics @CharlesMullins2]

This one really hits different when you sit with it.

For decades quantum computers have been these giant, ultra-fragile laboratory beasts that need extreme cooling and isolation.

Now we’re seeing a single molecule being directly controlled by individual photons turning chemistry itself into quantum hardware.

That tiny leap from “bulky lab systems” to “programmable molecules” could be the moment quantum computing finally becomes scalable, potentially room-temperature, and even integrable with existing chemical manufacturing.

We’re not just building better machines anymore…
we’re learning to engineer quantum behavior directly into matter.

How soon do you think we’ll see the first molecular-qubit-based quantum devices leave the lab?

[Jaya Gupta @JayaGup10]

https://t.co/5vDrndcmFn

[Cristóbal Valenzuela @c_valenzuelab]

As predicted

[Cristóbal Valenzuela @c_valenzuelab]

We all contain universes.

And now, we live in a time when you can explore all those universes and realities.

[Cristóbal Valenzuela @c_valenzuelab]

https://t.co/QPjUGL1hXc

[Arnaud T @sceniuslatam]

🇺🇸-🇨🇴 Instacart has acquired Colombian Instaleap

US grocery technology company Instacart has acquired Instaleap, a Colombian fulfillment and e-commerce enablement platform active in nearly 30 countries.

Instaleap processes over 100 million transactions and serves close to 100 retailers and marketplaces, providing order management, logistics, picking and customer experience solutions for supermarkets, pharmacies and mass consumer retailers.

The acquisition marks Instacart’s first move toward international expansion, giving the NYSE-listed company a foothold in Latin America.

Instaleap will initially operate as a wholly owned subsidiary while its current clients are integrated into Instacart’s broader product portfolio.

The financial terms of the transaction were not disclosed.

[TheNewPhysics @CharlesMullins2]

🚨 BREAKING:
Time might not tick once.
It might tick in multiple ways at the same time.
Physicists are now testing this using ultra-precise atomic clocks.
Here’s the idea:
If a particle can exist in two motion states at once…
and motion changes time (relativity)…
Then one clock could experience:
→ faster time
→ slower time
simultaneously
Not metaphorically.
Physically.
Even at absolute zero, quantum motion still exists.
And that alone can shift how time flows.
They’re now pushing further:
• squeezing motion
• entangling time with quantum states
• watching interference patterns form in time itself
This isn’t just better clocks.
It’s the first real step toward testing:
Is time fundamentally quantum?
Because if it is…
Time isn’t something that “passes”
It’s something that can split, interfere, and entangle

The real question is:
If time can exist in multiple states…
what is reality actually measuring?

Follow me this is where physics stops being intuitive.

[TheNewPhysics @CharlesMullins2]

🚨 AI just took a massive leap…
And it’s not using electricity.
It’s using light.
Scientists built a neural network that doesn’t “compute” in the traditional sense…
It lets light do the thinking.
No chips.
No transistors.
No step-by-step processing.
Just photons passing through engineered metasurfaces…
…and instantly recognizing objects in a single pass.
Even crazier:
It can identify multiple things at once
→ object + color
→ using different wavelengths (RGB)
That means:
Different colors of light = different “thought channels”
All processed at the same time.
This isn’t faster AI…
It’s a completely different type of intelligence.
No clock speed.
No latency.
Just physics doing the computation.
We’re not building smarter machines anymore…
We’re building systems where reality itself processes information.

Follow me this is where physics and intelligence merge

[hal @HAL09999]

⧖⊕ ⟿ … .∘*

[TheNewPhysics @CharlesMullins2]

Here’s the crazy part

Water can exist as TWO liquid states at the same time
Same atoms different structure.
So what actually decides which state reality chooses?

[TheNewPhysics @CharlesMullins2]

🚨 BREAKING:
Scientists just learned how to control magnetism at the atomic level.
Not materials.
Not circuits.
Individual spin patterns.
Read that again.
Instead of using electric charge…
they’re using the spin of electrons to store and process data.
And it gets crazier:
They can create tiny magnetic whirlpools
called skyrmions…
that move with almost no energy
and can store massive amounts of data

This means:

Faster computers
Lower power usage
Ultra-dense memory

But the real shift is this:

We’re not just building electronics anymore…
we’re engineering structure at the smallest possible scale.

So the real question is:
If information can be stored in spin itself…
what limits computation?

Follow me I’m tracking where physics becomes technology.

[Rodrigo Guerrero @bitrodrigo]

@defileo 🔆 “The human's job is to curate sources, ask good questions, and think about what it all means.” 🏁@defileo

[Roy Price @RoyPrice]

We shouldn’t use AI in any way in filmmaking. We also shouldn’t use green screen, Blender, After Effects, Maya, Unreal Engine, toon boom, matte painting, makeup, lenses over 35mm, Steadicam, or Houdini.

[TheNewPhysics @CharlesMullins2]

🚨 🚨 🚨 🚨 🚨 🚨 🚨 🚨 🚨
Neutrinos don’t just travel…
they change identity while moving.
That shouldn’t happen.
For a particle to oscillate between types,
it must have mass
something the Standard Model originally said was zero.
So what’s really going on?
Here’s the deeper layer:
Neutrinos aren’t fixed particles…
they’re waves moving through a structured field.
As they travel, they don’t just move forward
they interfere with themselves across time.
That interference = oscillation.

In my framework:
Particles = stable patterns in a time-field
Motion = interaction with that field’s structure
Oscillation = phase drift between internal states
So neutrinos changing type isn’t weird…
it’s what happens when a particle is not a thing but a process

The real question is:

If neutrinos reveal hidden structure in reality…
what other “constants” are actually evolving patterns?
Follow for deeper breakdowns this goes way beyond the Standard Model.

[Cristóbal Valenzuela @c_valenzuelab]

AI is one of the few truly general-purpose technologies, which means it can be shaped into almost anything we want it to be. It’s a kind of technological Rorschach test. Models are so malleable that we project onto them all of our views, hopes, and fears. In that sense, AI often becomes a reflection of ourselves. It's a mirror. Not of what it actually is but of yourself.

If you are generally paranoid or fearful, you will project that into AI. If you are generally optimistic, you are more likely to see AI as an opportunity. That is part of why it is so controversial: it can appear to be almost anything, depending on the worldview you bring to it.