Cristiano da Silva Caetano

Backend dev 👨🏻‍💻 and AI user, former 3D ArchViz expert and author. Passionate about #AI, #Robots and #MetaQuest3. Founder providing valuable news on Tech 👇

[Cristiano da Silva Caetano @Cdsc75]

https://t.co/iBuf7lnB9r

[Cristiano da Silva Caetano @Cdsc75]

@JensenHuang @nvidia Welcome in this community. Having frontier personalities like you sharing their thoughts and probably visions is much as valuable as open models.

[Cristiano da Silva Caetano @Cdsc75]

Searching for Real Estate opportunities in Germany 🇩🇪? This is for you 👇🏻

[Tom Dörr @tom_doerr]

Scrapes German real estate sites for instant alerts

https://t.co/v0WrH7vBQy

[Ole Lehmann @itsolelehmann]

Germany is a sleeping giant of physical AI

everyone's been writing Germany off in the AI race because there's no German OpenAI and no big data center story.

but theres actually two AI races happening:

the first is software. chatbots, LLMs, data centers. US/China are winning that, not even close.

the second one is physical. robots that pick up boxes, weld cars, carry groceries, stack pallets.

and on this one Germany is one of the top contenders in the world

this stat might convince you (it convinced me):

Germany is 3rd in the world for robots per factory workers (449 robots per 10,000 human workers).

only South Korea (1,220) and Singapore (818) are ahead.

Japan is behind at 446. the US is all the way back at 307.

so Germany already runs more of its economy on robots than almost anywhere else on earth.

and the German companies building this next wave of physical AI are some global heavyweights.

a few worth knowing...

> Neura Robotics in Metzingen is building humanoid robots and raising €1B from Tether at a €4B valuation (this was March 2026). Volvo already in from an earlier round.

> Sereact in Stuttgart raised $110M in April 2026 to build the software brain that lets robots see and grab things. already runs 1 billion+ real-world picks for BMW, Mercedes, and Daimler Truck.

> Agile Robots in Munich was the worlds first robotics unicorn. revenue doubling yearly, around €200M now, heading for €1B.

>RobCo in Munich raised $100M in early 2026 at a ~$500M valuation. their robots learn new tasks by watching a worker do it once instead of getting programmed line by line. already pushing into the US and aimed at the small and mid-size factories that make up most of german industry.

> Fraunhofer (Germany's network of 76 applied research labs) built the evoBOT in the video below. self-balancing, two arms, carries 100kg of cargo, being tested at Munich Airport right now.

but why is Germany specifically well positioned for physical AI though?

three things stack on top of each other.

first, the factories. Germany has thousands of family-owned precision manufacturing shops that have been logging sensor data for decades.

that data is basically the training fuel for physical AI and almost nobody else has it at this depth.

second, the customers are already there in-country.

VW, BMW, Mercedes, Porsche, Bosch, Siemens. a robotics startup in Stuttgart can ship its first commercial deployment to a brand everyone recognizes in year one.

that's why Sereact's customer list reads like a german car show lol.

third, the engineer pipeline. Fraunhofer spins out companies like Agile Robots straight from its labs. KUKA built the first 6-axis electromechanical robot arm back in 1973. they've been doing this for 50 years.

so the chatbot race is mostly settled and Germany lost spectacularly

but the robot race is still early innings. and i think Germany's well positioned

[Cristiano da Silva Caetano @Cdsc75]

If this was meant to be a real cipher, a key or extra context is missing. Otherwise… mission accomplished on the troll! 😼

[Cristiano da Silva Caetano @Cdsc75]

Might be a more precise answer than 42 to the question of the meaning of life. https://t.co/8YJysJoqCL

[Cristiano da Silva Caetano @Cdsc75]

@Web3__Youth @ollama @NousResearch @grok try to answer this question using deep search.

[Cristiano da Silva Caetano @Cdsc75]

What really happened to the whale in the Baltic Sea.

[Cristiano da Silva Caetano @Cdsc75]

The ‚i‘ and the ‚u‘ are definitely to close to each other on german mobile keyboard layouts. My apologies! For me, as a Meta Quest owner and Metaverse user, it’s definitely a sh*t perspective. A little less AI and a bit more Metaverse would be favourable in my life actually.

[Cristiano da Silva Caetano @Cdsc75]

Can you spot Cap. Nemo and his Nautilus?

[Wonder of Science @wonderofscience]

Human population density around the world.

📽: Tyler Morgan-Wall

[Cristiano da Silva Caetano @Cdsc75]

Consider differences between LLM, even in prompting.

[Abacus.AI @abacusai]

https://t.co/53DEYlkNNQ

[Cristiano da Silva Caetano @Cdsc75]

@coinbureau @grok: which evidence or arguments are there for this Statement?

[Cristiano da Silva Caetano @Cdsc75]

A glimpse into the near future…

[Elon Musk @elonmusk]

A major additional factor should be considered.

Satellites with localized AI compute, where just the results are beamed back from low-latency, sun-synchronous orbit, will be the lowest cost way to generate AI bitstreams in <3 years.

And by far the fastest way to scale within 4 years, because easy sources of electrical power are already hard to find on Earth. 1 megaton/year of satellites with 100kW per satellite yields 100GW of AI added per year with no operating or maintenance cost, connecting via high-bandwidth lasers to the Starlink constellation.

The level beyond that is constructing satellite factories on the Moon and using a mass driver (electromagnetic railgun) to accelerate AI satellites to lunar escape velocity without the need for rockets. That scales to >100TW/year of AI and enables non-trivial progress towards becoming a Kardashev II civilization.

[Cristiano da Silva Caetano @Cdsc75]

Have you seen the new look of the Grok App icon?

It channels the power of a singularity—encased in dual silver borders, yet open on two sides, inviting possibility.

[Cristiano da Silva Caetano @Cdsc75]

61.4% Computer Use Ability — this is getting fun. Take a moment and try to imagine what the possibilities are.

[Claude @claudeai]

Introducing Claude Sonnet 4.5—the best coding model in the world.

It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.

[Cristiano da Silva Caetano @Cdsc75]

Claude Code and Codex (GPT-5) on your phone.

You can finally put your daily travel time on the bus and metro to good use.

[Cristiano da Silva Caetano @Cdsc75]

@sandboxvibe It's great having a coding assistant on my phone. I can finally put my daily travel time on the bus and metro to good use.

[Cristiano da Silva Caetano @Cdsc75]

This is what ChatGPT is used for by now. Dive into this chart to pick up some more details.

[Greg Brockman @gdb]

We've released a large-scale study on how people are using ChatGPT.

Consumer adoption has broadened beyond early-user groups, and lots of economic value is being created through both personal and professional use:

https://t.co/jVTwud5VXX

[Cristiano da Silva Caetano @Cdsc75]

A must watch for every serious Lord of the Rings fan 👇🏻

[World Labs @theworldlabs]

create... explore... repeat

[Cristiano da Silva Caetano @Cdsc75]

After reviewing the benchmarks i will give it a try.

[Sam Altman @sama]

GPT-5-Codex is here: a version of GPT-5 better at agentic coding.

It is faster, smarter, and has new capabilities. Let us know what you think!

The team has been absolutely cooking, very fun to watch.

[Cristiano da Silva Caetano @Cdsc75]

@NVIDIAGeForceDE GeForce RTX 5090