This month is the one-year anniversary of the publication of my book, "Code to Joy". I'm happy to announce it's also the month of the release of the audiobook version of the book, which I narrate. Enjoy! @mitpress https://t.co/BhUhOJRvDs
I got to help shape this document, providing guidance about how AI researchers collaborate globally. It was unveiled at the UN General Assembly yesterday by the Secretary of State.
You'd think that, since I'm working in government, my id card would count as "government id". It does not. Very confusing when I tried to get through security at the Pentagon. (My Rhode Island drivers's license worked.)
@mm_jj_nn@ShriramKMurthi haha, that's funny... I feel like NSF folks (1) use a lot of acronyms (my list is creeping up to 500 that I've seen used in my 2 years), and (2) like to pronounce them (probably because the alternative is just too hard to understand).
I wanted to better understand how language models can help with decision-making and planning and worked with a great team to produce this nifty piece of work!
Ever wonder if LLMs use tools๐ ๏ธ the way we ask them?
We explore LLMs using classical planners: are they writing *correct* PDDL (planning) problems?
Say hi๐ to Planetarium๐ช, a benchmark of 132k natural language & PDDL problems.
๐ Preprint: https://t.co/kXItV6j6Dg
๐งต1/n
@bai_liping It's interesting, though, right? Because the best computational tool we have for processing language is the transformer, which isn't really structured the way we make decision systems.
Submit to our #RSS2024 workshop on โRobotic Tasks and How to Specify Them? Task Specification for General-Purpose Intelligent Robotsโ by June 12th.
Join our discussion on what constitutes various task specifications for robots, in what scenarios they are most effective and more!
In my book, "Code to Joy", I include a Marvel-movie-like post credit scene teasing a future in which AI capabilities are available on an Arduino chip. I just learned that life is imitating art! https://t.co/EUmLNUh1l3
@stanfordnlp@NSF Thanks for posting! I few things I'd add: Susan Dumais, George Furnas, Tom Landauer, Scott Deerwester really pioneered these ideas in the late 80s. And one thing Sue and Tom did that I think is worth new attention: Modeling the language acquisition process using human-scale data!
@_max_entropy My concern is with the notion of counting hyperparameters/constants. Sagan said: If you wish to make an apple pie from scratch, you must first invent the universe. Where you draw the lines (algorithm/parameters/hyperparameters) matters.
You probably know that an escape code is something that tells a computer not to interpret something literally, but to execute the command following it. But did you ever notice that "escape code" has "cape cod" RIGHT INSIDE it??