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
I disagree a bit. Any money the ultra-rich invest into research is better spent than on their next Mega-Yacht. Even if AI cannot meet the expectations of AGI etc.
A new saxophone. I have been playing the sax for 15 years and have kept my beginner horn ever since. A good sax starts at 5k though, so I‘ll probably need at least 5 more years at my current saving rate
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
I thought the same. That’s why I am on Proton which has a sufficient free tier (1GB). If I am not able to pay any of the higher tiers anymore, I can always fall back to the free one
I love this project! There are a lot of inspiring ML projects I used to think about when I was younger. 90% of the time, copyrights and non-unified data would heavily limit our capabilities in that context.
I love that this kind of data is finally open-sourced to help the music community!
It seems that investors keep throwing money at them regardless of profitability
Surprising to see GPT 4.1. Sama told us that GPT5 was „just around the corner“ - why waste efforts then for some soon-outdated model
I‘m curious if he told Elmo the same. The ~~guy~~ nazi who streams gaming content from his private jet 30% of his day, posts shit on shitter 60% of the day and fucks up democracy 20% of the day.
This is what these productivity gurus are referring to when they‘re talking about giving 110% every day
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
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
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