Comment by 343242dfsdf
2 years ago
Being profitable is probably a matter of time and technology maturing. Think about the first Iphone, Windows 95, LCD/LEDs, etc.
The potential of a sufficiently intelligent agent, probably something very close to a really good AGI, albeit still not an ASI, could be measured in billions of billions of mostly inmediate return of investment. LLMs are already well into the definition of hard AI, there are already strong signs it could be somehow "soft AGI".
If by chance, you're the first to reach ASI, all the bets are down, you just won everything on the table.
Hence, you have this technology, LLM, then most of the experts in the field (in the world blabla), say "if you throw more data into it, it becames more intelligent", then you "just" assemble an AI team, and start training bigger, better LLMs, ASAP, AFAP.
More or less this is the reasoning behind the investments, sans accounting the typical pyramidal schemes of investments in hyped new stuff.
> Being profitable is probably a matter of time and technology maturing. Think about the first Iphone, Windows 95, LCD/LEDs, etc.
Juicero, tulips....
> then you "just" assemble an AI team, and start training bigger, better LLMs, ASAP, AFAP.
There's a limit to LLMs and we may have reached it. Both physical: there is not enough capacity in the world to train bigger models. And data-related: once you've gobbled up most of internet, movies and visual arts, there's an upper limit on how much better these models can become.