We uncritically accept extraordinary claims on this. They might even be valid claims, but they are so rarely supported by evidence that is likewise extraordinary.
In my experience real, durable progress generally starts happening once we come back down to Earth and start iterating.
Are modern large models crucial to transportation? Maybe? Waymo is cool but it’s not yet an economic reality at scale, and I doubt there are 1.75T weight models running in cars. Are they crucial to finance? I’m quite sure that machine learning plays an important role in finance because I know people in finance who do it all day for serious firms, but I’m very skeptical that finance has been revolutionized in the last 18 months (unless you count the NVDA HODL).
Can we push back a little on the breathless hyperventilation? It was annoying a year ago, the AGI people were wrong, it’s offensive now, we got played for suckers.
“As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, understanding how they work under the hood is critical. Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science behind intelligence itself.”
In my experience real, durable progress generally starts happening once we come back down to Earth and start iterating.
Are modern large models crucial to transportation? Maybe? Waymo is cool but it’s not yet an economic reality at scale, and I doubt there are 1.75T weight models running in cars. Are they crucial to finance? I’m quite sure that machine learning plays an important role in finance because I know people in finance who do it all day for serious firms, but I’m very skeptical that finance has been revolutionized in the last 18 months (unless you count the NVDA HODL).
Can we push back a little on the breathless hyperventilation? It was annoying a year ago, the AGI people were wrong, it’s offensive now, we got played for suckers.
“As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, understanding how they work under the hood is critical. Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science behind intelligence itself.”