JealousJail
@JealousJail@feddit.org
- Comment on Big tech has spent $155 billion on AI this year. It’s about to spend hundreds of billions more 3 weeks 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).
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
- Comment on Big tech has spent $155 billion on AI this year. It’s about to spend hundreds of billions more 3 weeks 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
- Comment on Big tech has spent $155 billion on AI this year. It’s about to spend hundreds of billions more 3 weeks ago:
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 at least; mich faster than without all the money
- Comment on Big tech has spent $155 billion on AI this year. It’s about to spend hundreds of billions more 3 weeks ago:
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.
- Comment on Bluesky made more money selling T-shirts mocking Mark Zuckerberg in one day than it has in two years of selling custom domains 5 months ago:
Agreed. Being financially independent can also foster ad investments and lead to a popularity gain
- AI chip startup FuriosaAI reportedly turns down $800M acquisition offer from Meta | TechCrunchtechcrunch.com ↗Submitted 5 months ago to technology@lemmy.world | 0 comments