문영석

[いっちー@バーチャル精神科医 @ichiipsy]

国際宇宙ステーション（ISS）で撮影された、水と油が微小重力下でどう交わるかを調べた実験。

地上では油が水の上に浮かぶけど、無重力では液滴状でくっつくみたい。
宇宙の物理学を知れる興味深い実験。

[Massimo @Rainmaker1973]

After 6 years of failed attempts, a photographer finally captured this rare alignment of the Moon, a mountain, and a basilica.

Taken in Piemonte, Italy, this amazing picture shows the Basilica of Superga in the foreground, the Monviso in the middle.

[📸 ValerioMinato]

[문영석 @yseok60wr]

15 + Recipe Ideas For The Next 15 Days! Jamie Oliver https://t.co/rkmc6CVdhX via @YouTube

[문영석 @yseok60wr]

I time travelled to Ancient Egypt in 2400BC! (Vlog) https://t.co/rbAOda2GQl via @YouTube

[Abhishek @abhishekcode42]

This is why I am on Twitter, to see posts like this

[Marcus House @MarcusHouse]

Just FYI, this was moments before FORTE fully submerged beneath the surface.
It is an absolute beast! 💪

Did you realise just how enormous this thing is?

[문영석 @yseok60wr]

나무 블라인드: 실내 습도가 올라가면 수분을 흡수하고, 습도가 내려가면 수분을 방출하면서 수동적인 습도 조절 역할을 어느 정도 수행합니다.
화학섬유 블라인드: 습도 변화에 거의 반응하지 않습니다. 실내 습도 완충 효과는 기대하기 어렵습니다.

[문영석 @yseok60wr]

Wood vs Synthetic Fiber Blinds
Heat Gain Simulation under Direct Sunlight
(Indoor temperature: 30°C | Solar irradiance: 900 W/m²)

Slat angle has a dramatic effect on indoor heat gain:

• Fully closed (0°)
→ Air layer resistance maximized
→ Total heat gain:
Wood ≈ 396 W/m²
Synthetic ≈ 270 W/m²
• Fully open (90°)
→ Direct transmission dominates
→ Total heat gain jumps to:
Wood ≈ 810 W/m²
Synthetic ≈ 765 W/m²
Key findings:
Closing the slats more than doubles the insulating effect of the air gap.

Synthetic fiber performs better when closed (higher reflectance, lower surface temperature).

Even a moderate opening (45°) significantly increases heat gain.

Graphs below show:

Surface temperature vs slat angle
Total indoor heat gain vs slat angle

Air-gap thermal resistance

Heat gain breakdown (direct transmission vs re-radiation)

#WindowBlinds #ThermalPerformance #BuildingScience #HeatGain #Simulation

[Teslaconomics @Teslaconomics]

I’m going to prove to the world that you can build a $1 million-a-year business owning a fleet of Tesla Cybercabs.

I'm dead serious... if Elon and Tesla let me one day.

I'm going to actually buy them, put them to work, track every $ dollar and show the results publicly on 𝕏.

Using the base-case model of roughly $30,000 in annual owner profit per Cybercab, the path looks like this:

4 Cybercabs → ~$100K/year
9 Cybercabs → ~$250K/year
17 Cybercabs → ~$500K/year
34 Cybercabs → ~$1M/year

And this is why I think Cybercabs could become one of the most interesting investments out there.

Think about what it takes to generate serious $ cash flow from other assets.

A rental property comes with a huge upfront cost, property taxes, repairs, insurance, tenants, vacancies and management.

A traditional business comes with employees, payroll, rent, inventory and constant operations.

A stock portfolio can be incredibly passive, but you normally need a massive amount of $ capital before it can consistently throw off $1M a year without eating into the principal.

A Cybercab I think is going to be different.

If Tesla eventually allows owners like me to buy them and place them on the Tesla Network, each vehicle could become a separate productive asset working throughout the day while you’re sleeping, traveling, spending time with family or building something else.

And the beautiful thing about it is how scalable it could be.

You don’t need to buy 34 on day one.

Start with one.

Learn the economics.

Add another.

Then another.

4 → 9 → 17 → 34.

Now, I’m not pretending this will be completely passive. These cars will still need insurance, charging, cleaning, maintenance and fleet management.

And NONE of these economics are proven yet... there is risk.

That’s exactly why I want to do it.

I want to be the guy who actually builds the fleet and proves whether this works in the real world with all the ups and downs.

Revenue. Expenses. Downtime. Maintenance. Tesla’s cut. Actual profit.

Everything...

If I can eventually show $1M a year from my own Cybercab fleet, I think it could change the way millions of people around the world look at cars forever.

A car has always been something you buy that loses value while sitting in your driveway.

Cybercab could flip that idea upside down.

[Markus J. Buehler @ProfBuehlerMIT]

Grok @bot is incredible - and they can even manufacture real physical objects! Here is a little experiment I did last night: I created a team of bots and asked them to solve a complex engineering problem end to end - starting from four images as design cues, inferring transferable structural principles from the pixels, synthesizing an executable interactive physics simulator, running and reasoning over experiments, optimizing the design & finally manufacturing the best designs.

The entire loop worked remarkably well - and I was even able to communicate with the agents from my Apple Watch. (Do we live in the future yet?)

Team of agents

1⃣ Chief of Staff coordinates the workflow: watches the other agents, pulls results into the main chat, transfers files between them, and keeps the job moving.
2⃣ Physics Experimenter is the scientist-coder. It interprets the design cues and images, writes the simulator, runs experiments, analyzes the results, and produces a detailed LaTeX scientific report.
3⃣ 3D Printing Bot operates the fabrication workflow: prepares and slices the models, generates manufacturing code, sends the job, and monitors the printer.

The workflow

I provided an initial task based on four unregistered reference photographs containing different objects at different scales (pinnate leaf venation, a Voronoi-like areole mesh, a stochastic fibrous lattice, and a radial/circumferential web).

The prompt asked the agents to infer transferable design principles - hierarchy, branching, interfaces, redundancy, disorder, load paths - and use them to build an interactive laboratory for hierarchical materials and fracture.

The scientific question was: at fixed material budget, how do hierarchy depth, redundancy, disorder, and interlevel strength change stiffness, peak load, energy absorption, and the brittle-to-progressive transition?

In ~20 minutes, the Physics Experimenter produced a 2D hierarchical Euler–Bernoulli beam-network laboratory. Coarse veins persist and remain thicker; finer infill is added inside cells; members connecting levels are treated as interfaces with relative strength κ; and total material volume is conserved. The four source photographs remain visible in an editable interpretation panel. The app generates geometry, steps or runs the network to failure, compares A/B/C designs, and exports JSON, CSV, PNG, and STL geometry for fabrication.

After validation the Physics Experimenter used the app and conducted 47 simulation experiments, including six holdouts.

It found something scientifically interesting: extra hierarchy is not "free" toughness. At fixed volume, initial stiffness changed by only about 20%, while work-to-failure varied by several-fold. Infill steals cross-section from the main axial veins, so deeper and more redundant networks often absorbed less energy than a simple depth-1 grid. Weak interfaces behaved as distributed fuses, producing more progressive failure and reducing localization. The specific H2 hypothesis - that hierarchy becomes detrimental primarily because interfaces form a mechanical bottleneck - was rejected; the dominant effect instead came from redistribution of a fixed material budget across structural levels.

The Physics Experimenter then assembled the methods, tests, results, hypothesis evaluation, and conclusions into a detailed scientific report.

The best designs were passed to the 3D Printing Bot. It opened Bambu Studio and brought the Bambu Lab H2D online. Both STLs were placed on one build plate at the same 50x scale and sliced using a 0.20 mm PLA process. The prints completed within less than an hour.

The loop

images → structural abstraction → executable physics → autonomous experiments → hypothesis testing → design selection → STL → slicing/manufacturing code → physical object

That last transition is what I find especially interesting: AI is beginning to operate across the entire scientific and physical workflow - converting observations into models, models into experiments, experimental evidence into revised designs, and those designs into manufactured matter by directly operating machines. This starts to blur the boundary between AI that reasons about the physical world and AI that can actually act on it.

Shoutout to the @bot team - you are building something very special here! The way these agents can move naturally from reasoning, to experiments, to operating machines in the physical world feels like an important step.

[Marcus House @MarcusHouse]

Sweet! A fresh update of Ship 40! Chris Bray captured a timelapse of it moving about while the transport ship FORTE prepares to take it home!

Thanks again to Chris helping us bring these views to you. He's also in Facebook with Instagram! Follow along!
https://t.co/LHcJMtlqwg

[Night Sky Now @NightSkyNow]

Albert Einstein's mathematical framework of relativity proved that space and time are mechanically fused into a singular, rigid geometric structure known as the "block universe."

In this exact architectural model, time does not actively "happen" or physically move forward. Instead, every single microscopic event—from the absolute beginning of the universe to its final absolute end—already exists simultaneously within this massive four-dimensional coordinate system.

This means your biological consciousness is simply traveling through a pre-existing structural framework. The past has never truly vanished, and the future is already completely constructed; your central nervous system is merely sequentially rendering the environmental data as you physically move along your specific geometric coordinate path.

[Marcus House @MarcusHouse]

Beautiful view of FORTE now it has arrived at Christmas Island. It is preparing to partially submerge, have Ship 40 floated on top, and will rise again to come back to Texas. Bring her home! 🫶

Big thanks again to Chris Bray out there on site for us!
https://t.co/H4M9h14Wh0

[SpaceX @SpaceX]

After approx. 24 days at sea, the SpaceX Recovery team successfully guided Starship to a location just off the coast of Christmas Island. A team of SpaceX engineers is on their way to conduct additional analysis on the vehicle in calmer waters before attempting to return it to Starbase

[Euwyn @euwyn]

This shit looks straight out of Interstellar

[Sabine Hossenfelder @skdh]

Nah, I think he's wrong.

I agree that most of the AI-science startups will be bankrupt in a few years, esp those banking on new discoveries in material science. I say this because I know someone who works on selling material science data to companies and you know what, they literally don't buy it, they're not interested. They do their own material testing in house and that's that.

I don't know much about chemistry but Simon is probably right about this not being a great business plan either.

And all these AI companies that cater to academia will go bankrupt because there's no money to make from that.

However, the current AI systems are ideally suited to exploit the unused potential in the already existing literature. There must be thousands of discoveries that lie in connecting the dots, which no one has made because no human can have an overview over the existing scientific publications.

This covers everything from new mathematical theorems from combining already known ones to off-label use of drugs to the application of computational methods in fields that have never heard of them.

So, yes, we will totally see an AI-driven science boom in the next few years, together with an incredible amount of slop and, hopefully, eventually a significant change to the academic system.

(Also, @simonmaechling is totally worth a follo!)

https://t.co/6sDqB4jAWc

[Night Sky Now @NightSkyNow]

🚨 New research shows quantum states in the brain may link consciousness to the entire universe.

In a fascinating convergence of physics and neuroscience, recent research suggests that human consciousness may function as a quantum phenomenon—one that connects our minds with the broader universe.

Building on the controversial Orch OR (Orchestrated Objective Reduction) theory, scientists are now producing experimental evidence that supports the idea that microtubules—structures within brain cells—can maintain quantum coherence, even in the brain’s warm, wet environment.

These quantum states could be the key to consciousness existing as a wave capable of superposition and entanglement, potentially linking human awareness to quantum systems across space.

This theory has gained new traction thanks to simulations and experiments showing that quantum reactions can persist inside microtubules for significantly longer than expected.

Meanwhile, theoretical physicist Timothy Palmer suggests that consciousness may reside in a cosmic fractal “state space”—a shared geometric structure that might explain both free will and our sense of being interconnected with the universe.

While not yet definitive, this research marks a critical step toward understanding consciousness as more than a neural illusion: it may be a quantum feature of reality itself.

[Craft Gallery @5min__crafts]

style that becomes popular for a time.

[문영석 @yseok60wr]

I thought it was a bit surprising that there’s no Total War based on the Mahabharata. I also think quite a few people would enjoy it if Roger Zelazny’s Lord of Light were made into a strategy game.