Yes, it means that their basic architecture must be heavily refactored. The current approach of ‘build some model and let it run on training data’ is a dead end
a dead end.
That is simply verifiably false and absurd to claim.
Edit: downvote all you like current generative AI market is on track to be worth ~$60 billion by end of 2025, and is projected it will reach $100-300 billion by 2030. Dead end indeed.
If the rapid progress over the past 5 or so years isn’t enough (consumer grade GPU used to generate double digit tokens per minute at best), it’s wide spread adoption and market capture isn’t enough, what is?
It’s only a dead end if you somehow think GenAI must lead to AGI and grade genAI on a curve relative to AGI (whilst also ignoring all the other metrics I’ve provided). Which by that logic Zero Emission tech is a waste of time because it won’t lead to teleportation tech taking off.
That is simply verifiably false and absurd to claim.
Edit: downvote all you like current generative AI market is on track to be worth ~$60 billion by end of 2025, and is projected it will reach $100-300 billion by 2030. Dead end indeed.
How very nice.
How’s the cocaine market?
Wow, such a compelling argument.
If the rapid progress over the past 5 or so years isn’t enough (consumer grade GPU used to generate double digit tokens per minute at best), it’s wide spread adoption and market capture isn’t enough, what is?
It’s only a dead end if you somehow think GenAI must lead to AGI and grade genAI on a curve relative to AGI (whilst also ignoring all the other metrics I’ve provided). Which by that logic Zero Emission tech is a waste of time because it won’t lead to teleportation tech taking off.