Do you want my guess? The current “fight” will go on, until the AI bubble bursts. None of the current large token models will survive; they’ll be simply ditched as “unprofitable”. Instead you’ll see a bunch of smaller models popping up, for more focused tasks, being advertised as something else than AI (perhaps as a “neural network solution” or similar).
So Grok, Gemini, GPT, they’re all going the way of the dodo.
Small focused learning models and other forms of AI have been used for decades.
The current bubble is just trying to make LLMs do literally everything including accurately answering questions despite their core design including randomization to appear more like a human.
Yes, but I think the ones you’ll see past the bubble burst will be a bit different. For example, incorporating the current attempts of natural language processing, even if in a simplified way.
lvxferre@mander.xyz 1 month ago
Do you want my guess? The current “fight” will go on, until the AI bubble bursts. None of the current large token models will survive; they’ll be simply ditched as “unprofitable”. Instead you’ll see a bunch of smaller models popping up, for more focused tasks, being advertised as something else than AI (perhaps as a “neural network solution” or similar).
So Grok, Gemini, GPT, they’re all going the way of the dodo.
That’s just my guess though. It could be wrong.
snooggums@piefed.world 1 month ago
Small focused learning models and other forms of AI have been used for decades.
The current bubble is just trying to make LLMs do literally everything including accurately answering questions despite their core design including randomization to appear more like a human.
lvxferre@mander.xyz 1 month ago
Yes, but I think the ones you’ll see past the bubble burst will be a bit different. For example, incorporating the current attempts of natural language processing, even if in a simplified way.