For me it's the soundtracks to Deus Ex (basically all the games), Mr. Robot, and Halt and Catch Fire.
Check out the most recent comment about the paper on OpenReview. This doesn't seem like isolated behavior: https://openreview.net/forum?id=tO3ASKZlok
I have a background in ML and work in software development, but studied experimental psych in a past life. It's actually kind of painful watching people slap phases related to cognition onto things that aren't even…
> The transformer architecture absolutely keeps state information "in its head" so to speak as it produces the next word prediction, and uses that information in its compute. How so? Transformers are state space models.
There's an absurd amount of astroturfing in discussions about AI. Especially on Reddit.
grounding
"There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated by a given stochastic data model. The other uses algorithmic models and treats the data…
You’re setting up a dichotomy where there isn’t one. Measuring the impact of changes isn’t any less necessary if you hand UI work off to genAI, if anything it’s more important.
For me it's the soundtracks to Deus Ex (basically all the games), Mr. Robot, and Halt and Catch Fire.
Check out the most recent comment about the paper on OpenReview. This doesn't seem like isolated behavior: https://openreview.net/forum?id=tO3ASKZlok
I have a background in ML and work in software development, but studied experimental psych in a past life. It's actually kind of painful watching people slap phases related to cognition onto things that aren't even…
> The transformer architecture absolutely keeps state information "in its head" so to speak as it produces the next word prediction, and uses that information in its compute. How so? Transformers are state space models.
There's an absurd amount of astroturfing in discussions about AI. Especially on Reddit.
grounding
"There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated by a given stochastic data model. The other uses algorithmic models and treats the data…
You’re setting up a dichotomy where there isn’t one. Measuring the impact of changes isn’t any less necessary if you hand UI work off to genAI, if anything it’s more important.