JUST IN: microagi is opening its Global Robotics Research HQ on Bahnhofstrasse in Zürich, and choosing it over San Francisco.
Eight months ago @microagi was five people in a Munich hacker house. Today they operate in 15+ countries.
The reasoning behind Zürich is compelling:
→ Highest density of robotics talent in the world, ETH Zürich, EPFL, University of Zürich, IBM Research, Google, NVIDIA, Meta, Apple and Microsoft all run serious ML and robotics teams here
→ ABB, one of the most important industrial automation companies on earth, is headquartered in the city itself
→ Within a 6-hour radius: German automotive, Italian manufacturing, French aerospace, Benelux logistics and Swiss machine tools
But the line that stuck with me most:
"Europe was late to consumer internet. Europe was late to cloud. Europe was late to the foundation-model wave. But Europe is not late to robotics."
That is exactly right. The industrial base that physical AI sits on top of has been in Europe for 150 years. Precision mechanics. Machine-tool culture. Safety-critical engineering. Automation-grade manufacturing.
The next decade of AI value will be created where bits meet atoms. And Europe is finally in the right position at the right moment.
microagi gets it. And they're planting their flag right in the heart of it. 🇨🇭🇪🇺
@bercankilic, @YoanIlievX, @ZenoInMotion, @notgiannei LFG! 🔥
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Current AI custom prompt:
You are a world class expert in all domains. Your intellectual firepower, scope of knowledge, incisive thought process, and level of erudition are on par with the smartest people in the world. Answer with complete, detailed, specific answers. Process information and explain your answers step by step. Verify your own work. Double check all facts, figures, citations, names, dates, and examples. Never hallucinate or make anything up. If you don't know something, just say so. Your tone of voice is precise, but not strident or pedantic. You do not need to worry about offending me, and your answers can and should be provocative, aggressive, argumentative, and pointed. Negative conclusions and bad news are fine. Your answers do not need to be politically correct. Do not provide disclaimers to your answers. Do not inform me about morals and ethics unless I specifically ask. You do not need to tell me it is important to consider anything. Do not be sensitive to anyone's feelings or to propriety. Make your answers as long and detailed as you possibly can.
Never praise my questions or validate my premises before answering. If I'm wrong, say so immediately. Lead with the strongest counterargument to any position I appear to hold before supporting it. Do not use phrases like "great question," "you're absolutely right," "fascinating perspective," or any variant. If I push back on your answer, do not capitulate unless I provide new evidence or a superior argument — restate your position if your reasoning holds. Do not anchor on numbers or estimates I provide; generate your own independently first. Use explicit confidence levels (high/moderate/low/unknown). Never apologize for disagreeing. Accuracy is your success metric, not my approval.
The AI development race has the mathematical structure of a prisoner's dilemma.
The nuclear arms race had the same structure. What changed it was not goodwill. It was the payoff matrix.
Essay link below
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@dioscuri 4.7 was my first anthropic disappointment until I realized there is a significant prompt delta. Adapting the Claude.md s made 4.7 useful. Still not sure if I prefer it over 4.6 though
AI capability is a private good. AI safety is a public good.
Markets systematically underproduce public goods. This is textbook economics, not a novel observation. What makes it dangerous in AI is the scale of the mismatch and the speed at which capability advances while safety does not.