Stu @mstewart141
AI/ML at @twelve_labs | Previously: AI/ML @Cruise, AI/ML @Opendoor | Data @Uber | Research @NewYorkFed San Francisco, CA Joined April 2016-
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I'm still hiring!
I am excited to share that I will be joining @twelve_labs to build SoTA [1,2] VLMs 📽️🗣️💽! *I am hiring* for quite a number of roles [3] in SF! Reach me here of or LinkedIn :) [1] twelvelabs.io/blog/introduci… [2] twelvelabs.io/blog/upgrading… [3] jobs.lever.co/twelvelabs?loc…
the first commandment of AI: though shalt not post thy cool AI generated image unless though also share thy prompt 🔥🌳
remarkably, Shoggoths have made it to the New York Times: what a time to be alive ¯\_(ツ)_/¯ nytimes.com/2023/05/30/tec…
hi folks: after 5 years at Opendoor, i've recently joined Cruise as a TLM on the vehicle behaviours ai team! lots of interesting and impactful problems to solve, and we're hiring across a number of eng roles (engineers, TLMs, EMs). ping me to learn more! getcruise.com/careers/jobs/
two interesting new time series forecasting libs have been released in the past month, each positioned as "Prophet plus". both are worth a glance; if you have time for only one: greykite! orbit (from uber) eng.uber.com/orbit/ greykite (from linkedin) engineering.linkedin.com/blog/2021/grey…
just a friendly reminder that @Opendoor 🏡 is hiring machine learning engineers/scientists (SF, LA, ATL, or remote!) ⬇️ jobs.lever.co/opendoor/adfef…
just a friendly reminder that @Opendoor 🏡 is hiring machine learning engineers/scientists (SF, LA, ATL, or remote!) ⬇️ jobs.lever.co/opendoor/adfef…
i've written up a summary of how @Opendoor 🏡 leverages deep learning (via @PyTorch 🔥 @PyTorchLightnin ⚡️) to accurately value homes! check it out @ medium.com/opendoor-labs/…
My team @Opendoor 🏡 is hiring Machine Learning Engineers! Come work with me to solve real estate ML problems with @PyTorch 🔥 and @PyTorchLightnin ⚡️! (Reach out on LI for details) jobs.lever.co/opendoor/adfef…
locusts are chaotic neutral. some locust facts: - america had lots of locusts only 150 years ago! we drove them extinct - they're the only kosher insect (if you don't eat them, they eat your stuff) - you should read this book: google.com/books/edition/… nytimes.com/2020/05/27/wor…
great course/lectures on unsupervised DL from @pabbeel & co. @UCBerkeley youtube.com/watch?v=V9Roou…
shoutout to @PyTorch `torch.unique_consecutive` for making `groupBy` operations in torch super convenient. the semantics are the same as `itertools.groupby` in the standard lib. here, grouping by the 1st col of a tensor [limitation: this method only works for groupBy on 1 col]:
prof. david blei, discussing an application of latent topic modeling to the book-checkout records of certain founding fathers [republicans vs federalists] (from @nysoclib, ca. 1790s) sneaks in this zinger: "this is back when, you know, republicans still checked out books" 🧐
PSA: incase you ever hear someone refer to options as "soup", which i've definitely never done btw, know that the root cause is:
hedge fund idea: rank companies by the number of employees of said company who have "blockchain" in their linkedin job title then short the top of the list 📉😂
i'll be speaking @py_bay this saturday afternoon! 😁
.@RAPIDSai 👋 i am curious if y'all have done any experimental work with @CatBoostML -- or only @XGBoostProject so far? if so, any links much appreciated 🙏
i'm surprised (and pleased!) to learn nvidia has a team working specifically on DL for tabular data 🔥
i'm surprised (and pleased!) to learn nvidia has a team working specifically on DL for tabular data 🔥

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