[–] 0 points 11 months ago*

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

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  • [–] 4 points 1 year ago*

    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

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  • [–] 5 points 1 year ago* (2 children)

    At least they‘ve wasted their money for research of what doesn‘t work instead of just building silly products as for the .com bubble.

    Humanity will gain insights to the kind of AI approaches that won‘t work much faster than without all the money. It‘s just an allocation of human efforts

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  • [–] 1 point 1 year ago

    Also, this supports growth of the “small” email providers which will allow them to get traction in the B2B sector.

    Once they have grown, they can afford running consumer tiers at a loss and compensating this with other revenue streams - similar to what big tech is currently doing

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  • [–] 3 points 1 year ago*

    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

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    OpenAI seems to have realized that LLM-supported coding is one of the biggest markets right now.

    Purchasing one of the most popular IDEs together with Cursor tells a lot about the companies strategy.

    While I personally do not use Windsurf anymore because of their stupid pricing with tool-tokens and text-tokens, let‘s see if OpenAI will be able to integrate it to their product suite in a different way with the existing $20 subscription.

    Are you still using Windsurf? If not, what would be necessary to win you back as a user?

    [–] 12 points 1 year ago

    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

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  • [–] 2 points 1 year ago (2 children)

    Ich lasse mich gerne vom Gegenteil überzeugen. Ein Aktienmarkt am Boden ist nie gut.

    Nichtsdestotrotz gibt es für mich aktuell keine Anzeichen für einen Kurswechsel Trumps… Der Mann kann sich keine Niederlagen eingestehen

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    With Cline + Gemini 2.5 Pro, one can get the exact same feature set that Cursor and Windsurf provide. They only call the APIs of the big LLM Providers without an advanced secret sauce.

    It‘s even the opposite - they worsen model performance by limiting context size. The key advantage, the fixed monthly costs instead of variable API usage, is now gone with Gemini 2.5 Pro…

    What is left that justifies their ridiculous valuation atm?

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