Live data from Hacker News

MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

arxiv.org

61–65 of 65 posts

Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

#61
post #4

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.

extremely underrated comment. nice one!

Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

#62
post #47

Earlier 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?

I'll second that recommendation, and in that same sort of vibe I'd also recommend Birdman or (The Unexpected Virtue of Ignorance) (2014) and Station Eleven (2021-2022). They all have aspects of stories within stories, which is a trope that I particularly enjoy.

https://en.wikipedia.org/wiki/Story_within_a_story

Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

#63

Earlier 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.

I'd love to turn my lights on and not have my garage door open or thermostat suddenly change to 90 and my furnace fire up.

It's a really low bar right now :D

Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

#64
post #4

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".

Similarly, I’d like the movie credit Second Assistant to the Second Second Assistant Director.

[flagged]

Re: MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training

#65
post #17

Earlier 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.

Same transition some years ago. Siri is noticeably much, much worse to me. Borderline hopeless on a mixture of HomePod + HomePod Mini hardware.
Post reply on HN