Why Meta’s latest large language model survived only three days online
technologyreview.com
Why Meta’s latest large language model survived only three days online
1–10 of 126 posts
Re: Why Meta’s latest large language model survived only three days online
#2> Galactica demo is off line for now. It’s no longer possible to have some fun by casually misusing it. Happy?
He’s supposedly an expert in this sort of thing
Re: Why Meta’s latest large language model survived only three days online
#3Re: Why Meta’s latest large language model survived only three days online
#4In true science, it is exceptionally hard to distinguish truth from falsehood for many of the interesting subjects. It can take decades of work to reach consensus on what is "truth." Physics in the early 20th century is a great example of this debate.
Re: Why Meta’s latest large language model survived only three days online
#5It’s algorithmically/randomly generating text without understanding. What it the proper way of using it? Fake papers? Political bs? Bad Hemingway (or Shakespeare or Chaucer or…). It’s noise that looks like sentences.
Re: Why Meta’s latest large language model survived only three days online
#6Re: Why Meta’s latest large language model survived only three days online
#7Listen to 1:35:30 of this Bill Simmons podcast interview to see how an average person interprets the capabilities of these models: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5tZWdhcGh...
Re: Why Meta’s latest large language model survived only three days online
#8And if a large portion of the public doesn't believe the news is being reported accurately, that is a very big problem for journalism.
Re: Why Meta’s latest large language model survived only three days online
#9It’s algorithmically/randomly generating text without understanding. What it the proper way of using it? Fake papers? Political bs? Bad Hemingway (or Shakespeare or Chaucer or…). It’s noise that looks like sentences.
Re: Why Meta’s latest large language model survived only three days online
#10The extra parts about truthiness and the dangers of misinformation were just too much for me. We have a bigger problem with our premises and status quo if inaccurate scientific papers are a danger.