← Back to context Comment by 3np 1 day ago This. People need to manage their expectations. 5 comments 3np Reply ckemere 13 hours ago Why offer a solution then? Seems fairly easy for google to avoid giving the final number? cratermoon 1 hour ago That's not how LLMs work. These systems take a stream of tokens, do some linear algebra to find a stream of tokens within the parameters of their vector similarity, and spit out the result. jbs789 10 hours ago Expectations can only be managed by someone who has sufficient understanding - in this case Google by not providing the result. ianks 1 day ago LLMs and tempered expectations, like oil and water Spivak 1 day ago We're giving them calculators though, surely Google could provide a limited set of tools given Search already has a fairly sophisticated calculator.I've been having my AI stuff successfully do math since early gp3 days with this method— even before "tool calling."
ckemere 13 hours ago Why offer a solution then? Seems fairly easy for google to avoid giving the final number? cratermoon 1 hour ago That's not how LLMs work. These systems take a stream of tokens, do some linear algebra to find a stream of tokens within the parameters of their vector similarity, and spit out the result.
cratermoon 1 hour ago That's not how LLMs work. These systems take a stream of tokens, do some linear algebra to find a stream of tokens within the parameters of their vector similarity, and spit out the result.
jbs789 10 hours ago Expectations can only be managed by someone who has sufficient understanding - in this case Google by not providing the result.
Spivak 1 day ago We're giving them calculators though, surely Google could provide a limited set of tools given Search already has a fairly sophisticated calculator.I've been having my AI stuff successfully do math since early gp3 days with this method— even before "tool calling."
Why offer a solution then? Seems fairly easy for google to avoid giving the final number?
That's not how LLMs work. These systems take a stream of tokens, do some linear algebra to find a stream of tokens within the parameters of their vector similarity, and spit out the result.
Expectations can only be managed by someone who has sufficient understanding - in this case Google by not providing the result.
LLMs and tempered expectations, like oil and water
We're giving them calculators though, surely Google could provide a limited set of tools given Search already has a fairly sophisticated calculator.
I've been having my AI stuff successfully do math since early gp3 days with this method— even before "tool calling."