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Everyone carries a piece of the puzzle.
Nobody comes into your life by mere coincidence.
Trust your instincts.
Do the unexpected.
Find the others.
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Sacha Ghiglione
1.4K posts
Sacha Ghiglione
@SachaGhi
Executive Director Davos Tech Summit. AI & Robotics. love yourself.
Schweiz Katılım Mart 2022
286 Takip Edilen198 Takipçiler
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This @chamath @joerogan podcast is an ABSOLUTE must watch.
Insanely important and much needed.
Thanks to both for having the discussion. This is how we begin to build a positive future with AI.
youtu.be/LSihotD-PQA?si…
YouTube
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@chris_j_paxton Well said. Its gou g to be a combination of labor, ideas and supervison...
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In fact i think this "robotics deployments don't scale yet" argument is a good explainer for why robotics has taken off so much more where the cost of labor is lower (China) vs the US and Europe, beyond all the usual arguments.
Look at this video and you'll note how the robots are both providing incredible value and NOT getting rid of the many people still involved. the bottleneck is people, with human ideas and expertise, and the only way that changes is when we can properly leverage the way humans learn + human knowledge
Chris Paxton@chris_j_paxton
An interesting read. One of the largest things which I feel strongly about: deployment itself is not yet "scalable", and current foundation/frontier models dont solve that. What this means is that you still cant just sell "a robot" and expect it to scale-- the only company which has managed this is unitree, which is selling a developer platform.
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Sacha Ghiglione retweetledi
Is Zurich really the capital of robotics in Europe? 🇪🇺
Well, if you look at their robotics ecosystem, it seems true!
👀 SPOILER: Zurich robotics ecosystem is that BIG, that describing it I exceeded X post standard length (some companies will be described in the comment section).
Zurich is a great place to start a robotics company because everything you need is close and well connected.
It has top engineering talent, mainly from @ETH Zürich, one of the best robotics and AI universities in the world.
Not to mention great student initiatives like @ethroboticsclub.
Many successful robotics startups come directly from ETH research. Also, the presence of Disney Research and RAI Institute helps to be on the frontier of physical AI.
The city also has strong industry and customers nearby. Switzerland is home to global companies in robotics, manufacturing, and automation, such as ABB Robotics, which often work with startups as partners or early customers.
Zurich offers good access to funding, especially for deep-tech and robotics. Investors here are used to long development cycles and complex hardware products. 💰
Finally, Zurich is known for stability and quality of life. It is safe, well organized, and centrally located in Europe, making it easier to attract international talent and scale globally.
Listing some of the Zurich-based companies here:
→ @anybotics - builds autonomous four-legged robots for industrial inspection and maintenance, and has raised $ 150M+ in funding.
→ @GravisRobotics - develops AI-powered autonomy systems that turn heavy construction machines into self-driving robots, and has raised ~$27M in total funding.
→ Verity - builds autonomous indoor drones for warehouse inventory tracking and has raised ~$60M+ in funding.
→ @mimicrobotics - develops AI-powered robotic picking systems that enable fast, reliable manipulation and handling for industrial operations.
→ @HexagonAB - builds industrial humanoid robots that combine AI, sensor fusion, and spatial intelligence to automate complex tasks.
→ @microagi - builds data infrastructure and AI systems that capture large-scale real-world human work to train robots and enable humanoids to learn complex physical tasks.
→ @duatic_ag - develops advanced human-scale robotic arms and mobile manipulation systems.
→ @rivr_tech - builds autonomous Physical AI-powered wheeled-legged robots for last-mile doorstep delivery (acquired by Amazon)
→ @FlexionRobotics - builds the autonomous AI “brain” and software stack for humanoid robots, and has raised about $50 M in funding.
→ @voliro69689 - builds autonomous aerial robots for industrial inspection and maintenance and has raised ~$23 M in Series A funding.
→ @loki_robotics - builds autonomous robots that clean complex real-world environments like commercial restrooms and shared spaces
I'm aware that there might be some companies missing!
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♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Things we’ve normalized in robotics that feel like robbery:
>$50K+ robot arms need $20K integrators to move
>“Pilot programs” that never become production
>ROS consultants charging €300/hr to fix a launch file
>Paying for a trade show booth to sell to other vendors
>$500 conference tickets to watch vendor demos
>Simulation licenses that cost more than the hardware
>“Open source” frameworks with €80K enterprise support contracts
>Integration timelines that double every quarter
>Safety certifications that take longer than product development
>Buying a robot and then paying for the software to run it
>APIs that only work with their proprietary hardware
>Demo videos shot at 0.5x speed
>$200K humanoids that can fold one type of towel
>VARs taking 40% margins to do nothing
>Research papers with no reproducible results
>“Strategic partnerships” that are just logo swaps
What did I forget?
[btw, I love the pic 🫶… ]
——
Weekly robotics and AI insights.
Subscribe free: 22astronauts.com
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Sacha Ghiglione retweetledi
You know you are healing when you want more children, not less, despite being aware of how much work it is to raise good and healthy children.
I have 3 boys, my brother has 2 boys, my sister 3 daughters. My friend @eduardluta has 2 boys, @MaxhuniMax one boy (more to come), @arditdua has a daughter (hopefully more soon :)). And all our close friends and brothers plan to have children.
Don't let them fool you, do the work, but also: have children.
Akunjee 🖋@mohammedakunjee
‘Do you know how hard you have to abuse a mammal for them not to have children?’ (re humanbeings)
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@chris_j_paxton Indeed it is. Slowly playing catchup with the Chinese colleagues
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Sacha Ghiglione retweetledi
JUST IN: Figure has gone from producing 1 humanoid robot per day to 1 per hour, a 24x throughput improvement in under 120 days.
This data is from their manufacturing facility BotQ update (link below)
Here's what's happening inside BotQ:
→ Over 350 Figure 03 robots delivered and counting
→ End-of-line first-pass yield now above 80% and improving weekly
→ Battery line at 99.3% first-pass yield with 500+ battery packs shipped
→ Over 9,000 actuators produced across 10+ distinct SKUs
→ Every robot put through 80+ functional verification tests before sign-off
Their Helix AI model can now SEE the environment it's moving through, not just feel it. Stairs, ramps, uneven terrain, navigated zero-shot, trained entirely in simulation, deployed directly to hardware with no real-world fine-tuning.
@adcock_brett has been clear about the plan: every robot that rolls off the line is a data-collection engine.
The bigger the fleet, the faster the AI improves. The faster the AI improves, the more deployable the robot becomes.
This is the flywheel. And it is now spinning.
The humanoid robot race just got very serious. VERY INTERESTING.
Alright fam, what are your thoughts on @Figure_robot? 👀
Link: figure.ai/news/ramping-f…
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♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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@lukas_m_ziegler Wow, that's just incredible. 1b seed. The numbwr get crazy these days...
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JUST IN: Ineffable Intelligence has just come out of stealth with a $1.1B Seed round, the LARGEST EVER in Europe, at a $5.1bn valuation. 🇪🇺
The company was founded by David Silver, the former lead of the reinforcement learning team at DeepMind and a professor at University College London.
This is the man who invented AlphaGo, the AI that defeated the world champion at Go, a game many thought machines would never crack. One of the most significant moments in the history of artificial intelligence.
Now he's going after something even bigger. The mission? To make first contact with superintelligence.
The round is co-led by @sequoia (@sonyatweetybird) and @lightspeedvp, with participation from other funds.
That investor list is extraordinary. This is the full weight of global tech capital backing a European AI lab.
The technology is built on Reinforcement Learning — creating a "superlearner" that discovers knowledge and skills autonomously, without relying on human data. No fine-tuning on existing content. Learning from scratch, from experience.
And Silver is pledging 100% of his personal equity gains via Founders Pledge. Likely to amount to multiple billions. The biggest pledge in Founders Pledge history.
This is one of the most important European AI launches EVER. 🇬🇧🇪🇺
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♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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Sacha Ghiglione retweetledi
I’ve invested in 700 private companies
Providing liquidity and loans to high performing founders is completely standard.
In fact, investors encourage loans and secondary sales for founders to enable them to go for the Gold — which is exactly what SpaceX has done.
The @NYTimesPR is presenting this as a controversy, when in fact it’s the private company playbook in 2026.
Another hit job from the NYT
The New York Times@nytimes
Elon Musk has used SpaceX as a kind of piggy bank over the last two decades, turning to the company as a financial tool to get loans and bolster his struggling companies, according to an examination by The New York Times. nyti.ms/4w8dInZ
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@chris_j_paxton Agree with you. Governments nee to start ordering to increase demand and get actual deployment running, next to these few industry companies.
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@lukas_m_ziegler 💯. Europe can push, and will in the upcoming years. But a lot of things are still in the way.
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European map of robotics companies 🇪🇺
Let's zoom out a bit from the 'Europe can't innovate these days' framework
Now let's refocus on how many great robotics companies Europe produced.
I genuinely believe that EU has outstanding talent, and founders!
TIME TO BUILD!
Created & curated by @_jan_olsson_ 🔥
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Sacha Ghiglione retweetledi
🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build.
48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub.
It's called Graphify. One command. Any folder. Full knowledge graph.
Point it at any folder. Run /graphify inside Claude Code. Walk away.
Here is what comes out the other side:
-> A navigable knowledge graph of everything in that folder
-> An Obsidian vault with backlinked articles
-> A wiki that starts at index. md and maps every concept cluster
-> Plain English Q&A over your entire codebase or research folder
You can ask it things like:
"What calls this function?"
"What connects these two concepts?"
"What are the most important nodes in this project?"
No vector database. No setup. No config files.
The token efficiency number is what got me:
71.5x fewer tokens per query compared to reading raw files.
That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases.
What it supports:
-> Code in 13 programming languages
-> PDFs
-> Images via Claude Vision
-> Markdown files
Install in one line:
pip install graphify && graphify install
Then type /graphify in Claude Code and point it at anything.
Karpathy asked. Someone delivered in 48 hours.
That is the pace of 2026.
Open Source. Free.
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The founders who figure out OpenClaw in the next 90 days are going to look like geniuses in 2027.
The problem is most agency owners don't have time to figure out the install, the security risks, where to start, or what to actually hand it first.
So my team built a 48-page beginner's guide that does it for you.
Inside:
— The exact prompts to hand it on day one
— Plain English setup for Mac and Windows
— How to secure it so it doesn't burn your business down
— 42 copy-paste workflows across sales, marketing, ops, and finance
Your competitors are sleeping on this.
Comment OPENCLAW and I'll send it.
The Startup Ideas Podcast (SIP) 🧃@startupideaspod
"OpenClaw is the new computer." — Jensen Huang This is the early PC era all over again. A few power users see it. Everyone else hasn't even started. "It's the most popular open source project in the history of humanity, and it did so in just a few weeks. It exceeded what Linux did in 30 years." A solo founder with OpenClaw can now build what used to take a 50-person team. The leverage is absurd.
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The founders who figure out OpenClaw in the next 90 days are going to look like geniuses in 2027.
The problem is most agency owners don't have time to figure out the install, the security risks, where to start, or what to actually hand it first.
So my team built a 48-page beginner's guide that does it for you.
Inside:
— The exact prompts to hand it on day one
— Plain English setup for Mac and Windows
— How to secure it so it doesn't burn your business down
— 42 copy-paste workflows across sales, marketing, ops, and finance
Your competitors are sleeping on this.
Comment OPENCLAW and I'll send it.
The Startup Ideas Podcast (SIP) 🧃@startupideaspod
"OpenClaw is the new computer." — Jensen Huang This is the early PC era all over again. A few power users see it. Everyone else hasn't even started. "It's the most popular open source project in the history of humanity, and it did so in just a few weeks. It exceeded what Linux did in 30 years." A solo founder with OpenClaw can now build what used to take a 50-person team. The leverage is absurd.
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Sacha Ghiglione retweetledi
Read this over the weekend (bonus if you read all the papers in the Research List) and you’ll be among the “very few who understand how far-reaching” the shift to World Models is.
notboring.co/p/world-models
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Sacha Ghiglione retweetledi
Uber had a $10.6 billion accumulated deficit at the end of 2025. That’s the amount they’ve lost since the company started, meaning they haven’t truly made any money yet.
By contrast, Tesla has retained earnings of $39 billion.
Depending on how quickly autonomy scales, it’s conceivable that Uber might never generate earnings that offset what it cost to build the company. Pretty wild.
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Sacha Ghiglione retweetledi
My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.
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Sacha Ghiglione retweetledi
this quote from Carl Jung hits so hard.
"The world is full of people suffering from the effects of their own unlived life. They become bitter, critical, or rigid, not because the world is cruel to them, but because they have betrayed their own inner possibilities. The artist who never makes art becomes cynical about those who do. The lover who never risks loving mocks romance. The thinker who never commits to a philosophy sneers at belief itself. And yet, all of them suffer, because deep down they know: the life they mock is the life they were meant to live."
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Sacha Ghiglione retweetledi
Over the weekend we tested #Clawdbot.
What's about it? All hype? Can this AI actually do things on your mac/PC for you?
It says it can clear your inbox, send emails for you, manage your calendar, checks you in for flights, buy stuff on Amazon, code for you, ... all that through talking to it via Telegram or Whatsapp.
For real ....?
Just hype? No, it looks like this really works.
It not only works, it is really smart.
Created by @steipete (Founded/Bootstrapped PSPDFKit, which achieved a successful exit through a €100 million strategic investment). Opensource. Free.
Tested:
✅ Setup works (Mac mini)
✅ Connected to Telegram
✅ Understands instructions even in Albanian 🇦🇱
✅ Sends email for you
✅ Can send social media replies for you
✅ Can code for you (via Claude Code for example)
✅ Briefing, ideas, brainstorming
✅ Good chat experience (Telegram)
So far, so good. I'll keep testing.
All I can say: This is 100% a game changer!
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