Carmen Santacruz 🦋

Software Engineer • Computer Science • AI Enthusiast 🏃‍♂️ Hiker & Outdoor Explorer ✨ • All photos are mine — not AI-generated or modified

[kache @yacineMTB]

you can outsource your thinking
but you cannot outsource your understanding

[Alerta News 24 @AlertaNews24]

🇨🇳 | China inaugura la granja solar marina más grande del mundo.

2.3 millones de paneles solares. 2.934 plataformas de acero. 11.736 pilotes hincados en el fondo del océano. Construida para resistir vendavales de fuerza 11 y hielo marino.

[Tendencias y Tuits Borrados @tendenciaytuits]

“Japonés”

Porque el japonés que se hizo viral metiéndose en las películas usando IA, sigue siendo furor en las redes.

[Mario Nawfal @MarioNawfal]

🇨🇳 This might be the most futuristic thing you’ll see today:

Artificial skylights that use LED panels + nanotechnology to create hyper-realistic blue skies and sunlight in completely windowless rooms.

You can even switch from bright midday sun to warm sunset glow with a remote.

We’re now simulating the sky indoors because real windows are apparently too much to ask for in dense cities.

This is either peak innovation…or lowkey dystopian. You decide.

[worldcob @jlagerros]

Location is pretty neat, calm area of Stockholm's SoHo.

However --- I walked past it twice trying to find it. It doesn't really have any signage!

[Bernt Bornich @BerntBornich]

Robot abundance, one NEO at a time.
More tomorrow.

[CyberRobo @CyberRobooo]

Milestone in Humanoid Robotics: A Thousand Humanoid Sorters Entering Logistics Centers

Beijing-based RobotEra is deploying its L7 humanoid robot across more than 10 logistics centers operated by China Post, SF Express Group, and other major players.

In several of these centers, the embodied AI robots have already reached over 85% of human-level efficiency while operating stably 24/7.
The company is set to begin batch deliveries of robots at the thousand-unit scale in Q2 this year.

RobotEra recently raised $200 million in funding. By combining external capital with self-generated revenue, it is accelerating the real-world deployment of humanoid robots.

I wonder what UPS would think if they saw this solution? Rumors have been circulating recently that they intend to deploy Figure's humanoid robots in their logistics centers.

[BBC News Mundo @bbcmundo]

Meta anuncia que despedirá a 8.000 trabajadores mientras multiplica su inversión en IA https://t.co/YARXHm5XAL

[matrixbot @thematrixb0t]

We are past the point of no return.

[China pulse 🇨🇳 @Eng_china5]

This is what the near future will be like.

[Ricardo @Ric_RTP]

AI is the first technology in history where more customers makes you POORER.

Every tech company in history got cheaper as it scaled.

More users meant lower costs per user. That's the entire model.

That's why Microsoft prints money. That's why Google prints money. That's why Meta prints money.

Software has near-zero marginal cost. Build it once. Sell it a billion times. The 100 millionth user costs basically nothing to serve.

This is the single most important rule in tech economics.

But AI completely broke it.

Every single query costs real compute. Every interaction burns real electricity. Every response depreciates real hardware.

There is no "build once, sell forever." There is only "burn money every time someone asks a question."

And the numbers prove it:

OpenAI hit $20 billion in annualized revenue. Losses? $14 billion.

For every dollar they earn, they spend $1.69 delivering it. Their losses TRIPLED as their revenue grew.

Not because they're bad at business, but simply because the model itself is broken.

Anthropic crossed $30 billion in annualized revenue. Still burning billions. Still not profitable. Still raising tens of billions just to keep the lights on.

xAI is burning $1 billion every single month.

Perplexity spent 164% of its revenue on compute costs from AWS, They literally spent more on running the AI than they made from selling it.

This is not how technology is supposed to work.

Google once estimated that adding AI to every search query would require 500,000 A100 servers. The cost of answering a single AI query is 10x MORE than a traditional search result.

Traditional software: Serving 1 million users costs roughly the same as serving 100,000. The marginal cost is basically zero.

AI: Serving 1 million users can cost 10 times what 100,000 costs. Every new user is a new expense. Every new query is a new dollar burned.

This is reverse economics. The more successful you become, the faster you die.

And nobody in the industry wants to talk about it because the entire narrative depends on you believing AI companies work like software companies.

But they don't. They NEVER will.

Software scales to infinity. AI scales to bankruptcy.

HSBC ran the numbers on OpenAI specifically.

Their conclusion:

Even after every funding round, every investment, every deal, OpenAI still faces a $207 BILLION shortfall to reach profitability.

The industry response has been to raise prices.

ChatGPT went from free to $20 to $200 for the Pro plan. And it's still not enough because the cost of running these models grows FASTER than any price increase consumers will accept.

Meanwhile 966 AI startups died in 2024. A 25.6% jump from the year before.

AI startups burn cash twice as fast as non-AI tech companies. And the ones building on TOP of OpenAI and Anthropic are in even worse shape.

Every wrapper app. Every "AI-powered" SaaS tool. Every startup whose entire product is someone else's model with a different skin on it.

They're all margin-negative. Every single one.

And these are the companies about to IPO.

SpaceX, OpenAI, Anthropic, and Cerebras. $240 billion in combined raises planned for 2026.

They're asking you to invest in an industry where the fundamental unit economics don't work. Where the MORE customers you get, the MORE money you lose. Where no company has figured out how to make the math positive.

The dot-com bubble had the same pitch: "Revenue is growing. Profitability comes later."

For most of them, later never came.

The question isn't whether AI will change the world. It will.

The question is whether it can do it without going broke first.

And right now, every single number literally says no.

How can they become profitable?

[Jack Danger @JackDangerLIVE]

I found a seriously intelligent video by @icantevenfilms. It visualizes conspiracies of the last 25 years while letting YOU connect the dots. The music, visuals, and themes are next level. You’ve gotta know your stuff and watch closely. This is a must-see.

Watch 👀
Volume up 🎧

[China pulse 🇨🇳 @Eng_china5]

China dazzles moviegoers... the movies of the future will be stunning.

This immersive 3D screen is creating a huge buzz. With its realism and depth, everything looks like it’s coming right out of the screen.

[The Humanoid Hub @TheHumanoidHub]

The Toyota CUE7 robot, a 7'2" 74 kg wheeled humanoid, debuted during halftime at Japan's basketball game.

The robot made a free throw but missed a set shot from three.

[ClaudeDevs @ClaudeDevs]

For the developers building with Claude, a direct line from the team.

Follow for changelogs, API releases, community updates, and deep dives.

[😈 Xavier ✞ @RealXavier011]

25 years of experience of being a general worker 🤣🤣🤣🤣🤣🤣

[Prasenjit @Star_Knight12]

Anthropic built something so dangerous they were too scared to announce it.

so someone just forgot to lock the door, a CMS misconfiguration exposed 3,000 unpublished files, buried inside: Claude Mythos.

A whole new tier ABOVE Opus, their own draft says it's "far ahead of any AI model in cyber capabilities."

read that again, the company that built it is scared of what it can do.

they're not giving it to the public, only to defenders, because the attackers getting it first is an actual nightmare scenario.

Anthropic didn't leak a model. they leaked the future.

[Massimo @Rainmaker1973]

Multitasking vs focus

[Claude @claudeai]

A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks.

[Carmen Santacruz 🦋 @csantacruz]

@ishi0k @CroniGuanacas Gracias por leerlo 🙂. El artículo es sobre algo que sigue moviéndose. Hace menos de una década, empleados de Google frenaron cualquier uso militar de su IA. Anthropic ya que no pelea sobre si usarla, sino cómo, ahí.... hay algo más "profundo".
https://t.co/XJ9hT8td1h