The paper lists "first authors", "core authors", and "senior authors". My dream is to one day be listed on a seminal paper as "secondary forum reply author".
Speaking as someone working in the field, I find it amusing how much researchers working on automating human work care about human credit assignment.
MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training
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Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training
#62Earlier quoted context omitted.
Similarly, I’d like the movie credit Second Assistant to the Second Second Assistant Director.
In that case, I highly recommend watching the movie Synecdoche New York (2008). PS Can I be your hairdresser?
Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training
#63Earlier quoted context omitted.
They are going to have to focus on the use cases that most of their customers use LLMs for, regardless of whether it falls in the consumer or professional category or somewhere in between. If all it does is improve Siri a bit without massively expanding the range of applications and APIs it will be a big disappointment. I think what Apple presents in June will decide whether on-device AI will be seen as a viable alte…
Many users of Siri would be thrilled if all this did was made it decent at understanding what’s being asked of it and gave it the ability to ask clarifying questions, especially if it does so staying fully local.
It's a really low bar right now :D
Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training
#64Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training
#65Earlier quoted context omitted.
Mediocrity is far too positive a word for the dumpster fire that is Siri.
The characterization of "mediocre" is fair, but we're transiting a household to Siri from Alexa (because Alexa doesn't work locally, and because of Amazon's track record on privacy), and it's not noticeably worse.