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Joined 4 个月前
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Cake day: 2025年3月23日

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  • I believe that we are not yet in the end stage of AI. LLMs are certainly useful, but they cannot solve the most important problems of mankind.

    More research is required to solve e.g. a) Sustainable Energy Supply b) Imbalanced demographies of industrialized countries c) Treatment of several diseases

    Like it or not, AI that can do research for us, or even increase efficiency of human researchers, is the most promising trajectory for accelerating progress on these important problems.

    Right now, AI has not exceeded this scope. Yeah, AI can generate quite realistic fake videos. But propaganda has been possible before (look at China, Russia or Nazi Germany - even TikTok without any AI is dangerous enough to severely threaten democracies).

    As a researcher in the domain, let me tell you that no one who seriously knows about video generation etc. is afraid of the current state of AI


  • It has been more than just hyperscaling. First of all, the invention of transformers would likely be significantly delayed without the hype around CNNs in the first AI wave in 2014. OpenAI wouldn‘t have been founded and their early contributions (like Soft Actor-Critic RL) could have taken longer to be explored.

    While I agree that the transformer architecture itself hasn‘t advanced far since 2018 apart from scaling, its success has significantly contributed to self-learning policies.

    RLHF, Direct Policy Optimization, and in particular DeepSeek‘s GRPO are huge milestones for Reinforcement Learning which arguably is the most promising trajectory for actual intelligence. Those are a direct consequence of the money pumped into AI and the appeal it has to many smart and talented people around the world







  • Just delete your account on the old service. I deleted Whatsapp and most of my close friends were unwilling to install „another app“ at first.

    I was fine with their point of view and we started texting via SMS. After a while they realized that switching is more comfortable than writing via SMS and they were fine.

    Only works for close friends though. Others may simply cut ties then





  • Kind of ironic to read this. First, the UK decided to part ways to pursue their economic goals on their own.

    Now that the US are doing the same, they realize how benefitial the EU was for their economy (even without Trump, they realized this).

    GB perfectly demonstrated why the US way of thinking is bs. They regret it every single day and the US are too dumb to learn from others mistakes





  • Das ist nicht so einfach zu beantworten. Ein Faktor ist bestimmt, dass Schweden frühzeitig darauf gesetzt hat, dass keine zusätzlichen Gebühren anfallen (durch ihr eigenes digitales Zahlungssystem Swish).

    Hier in Deutschland war man lange zu träge und auf externe Lösungen wie Mastercard und Visa angewiesen, was mit höheren Gebühren einherging. Vielleicht hat sich das in den Köpfen eingebrannt und zu einer langfristig negativen Einstellung zur Kartenzahlung geführt.

    Die Steueroptimierung in Deutschland ist dabei eben ein gern gesehener Nebeneffekt, der sich in einigen Branchen eingebrannt hat, sodass man mit einer ehrlichen Besteuerung einen kompetitiven Nachteil hat im Vergleich zur ehrlichen Bezahlung.

    Aber wie gesagt, es gibt vermutlich noch einige weitere Faktoren