AerIn @aerinykim Twitter profile

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AerIn

7 months

Wrote a blog detailing what made RLHF/ChatGPT so powerful and why calling it emergent AGI is a slight overstatement. 1. What exactly has changed between ChatGPT and Transformer 2. What made it too helpful (hallucinate) 3. Action items for Open-Source LLMs

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AerIn

@aerinykim

4 years

Are you a PhD student or an independent researcher who is working on creating a dataset? @scale_ai will sponsor promising dataset creation projects that can widely benefit a community. Please DM me for details.

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AerIn

@aerinykim

5 years

So far (2 days gone), this is my favorite #NeurIPS18 paper. I just love the paper that tells me why it works. It also showed that the popular previous belief "internal covariate shift" has little to do with batch norm's success. Ah! 😍 3-min video:

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AerIn

@aerinykim

4 years

Training Data. The neglected in academia, but an important topic in industry. I learned the hard way- errors in training data can easily wipe out accuracy gain from a model. I'm writing codes to monitor data fed to ML. Things to check (can you add more?): 1. skewness between

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AerIn

@aerinykim

5 months

I still remember being surprised 8 yrs ago when I first reduced Word2vec/Glove embeddings to a lower dimensional space. To my surprise, antonyms were placed very close to the words themselves and models sometimes failed to understand negation. At the time, I couldn't find a way…

Gautam Kamath

@thegautamkamath

5 months

You might have heard that word2vec, test of time award winner at #NeurIPS2023 , was rejected from #ICLR2013 back in the day. Interestingly, one reviewer felt so strongly that they recommended "Strong Reject" four times.

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AerIn

@aerinykim

3 years

My team spoke very highly about this blog (and they're also wondering if self-supervised learning could eliminate the need for labeling entirely) so I gave it a read. It was a very well-written, thorough overview of SSL. What stands out the most was it was written by Dr. LeCun,

AI at Meta

@AIatMeta

3 years

How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. @YLecun and @imisra_ discuss why self-supervised learning is a promising way to make significant progress in AI.

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@aerinykim

5 years

My new boss 🕶️🚬 got me a new desktop from @LambdaAPI . 4x @Nvidia RTX 8000 (48G VRAM in a single GPU. Total 192 GB) I was able to wrap them in a beautiful box. I certainly cannot wrap 8 Titans in a box. Which model should I try first on my new machine? ☺️

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AerIn

@aerinykim

2 years

Before I forget, I'd like to summarize some interesting papers that I found at #CVPR2022 . Dual-key multimodal backdoors for visual question answering 1. This paper proposes an interesting Trojan attack method. To start, what exactly is a Trojan attack?

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AerIn

@aerinykim

5 months

One thing that stood out to me at #NeurIPS2023 was there were a lot more application papers than before. This was not the case with my last neurips (2018). I'd like to encourage this wave by highlighting one such paper. LayoutGPT: Compositional Visual Planning and Generation…

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AerIn

@aerinykim

2 years

How can we tame GPTs? Tame as, how do we make LLM give us more of what we asked for, instead of random answers? Also, how do we discover what GPTs are capable of? Can we use LLM as, e.g. copilot or translator? We'll discuss I-GPT, which all OpenAI GPT production APIs use.

Scale AI

@scale_AI

2 years

How can you ensure your AI language models are aligning with human intent? 🤖 Join Long, OpenAI Research Scientist, and Aerin, Scale AI Engineering Manager, for a technical deepdive followed by discussion around Long's work with InstructGPT, and live audience Q&A.

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AerIn

@aerinykim

1 year

"Engineers over 35 aren't sharp/fast anymore." -> Not true. Attended @Replit hackathon last week and teamed with a former sr dir of eng at xxx, 35+. He was one of the fastest and most effective I've ever worked with. I don't think coding skill is something that fades with age.

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AerIn

@aerinykim

3 years

Introducing a new paper: Natural Adversarial Object published @AndrewYNg 's Data-Centric AI workshop in #NeurIPS2021 . What is a Natural Adversarial Object?🤷 You might have already heard of adversarial samples - the inputs to ML models that we intentionally created to confuse

Papers with Datasets

@paperswithdata

3 years

🦈Natural Adversarial Objects: a new dataset to evaluate the robustness of object detection models. NAO contains 7,934 images and 9,943 objects that are unmodified and representative of real-world scenarios, but cause SoTA detection models to misclassify.

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AerIn

@aerinykim

4 years

I wrote about the Beta distribution during the holidays. 1. Why does the PDF of Beta dist look the way it does? 2. Why do we want to use Beta dist? 3. Intuition for its shapes Feedback welcome! I'm still looking for an explanation of U-shaped Beta.

Beta Distribution — Intuition, Examples, and Derivation

When to use Beta distribution

towardsdatascience.com

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AerIn

@aerinykim

4 years

When linear bmm made LSTM disappear, I thought some other overly elaborated architectures will fade away too. But I didn’t expect CNN belongs to that category..

Aran Komatsuzaki

@arankomatsuzaki

4 years

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale When pre-trained and transferred to CV tasks, Vision Transformer attains excellent results compared to SOTA CNNs while requiring much fewer computational resources to train.

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AerIn

@aerinykim

5 years

Why can Lagrange multipliers for inequality constraints only be positive? A blog post (more like an article) beautifully visualized using @pyray1 -- a math visualization tool I'm also contributing to!

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AerIn

@aerinykim

2 years

@ak92501 I'm the real AK.

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AerIn

@aerinykim

4 years

Having long-time unanswered questions about Poisson distribution? e.g. -Why does the formula look the way it looks? -Why did the Poisson dist have to be invented, even though we have binomial? -or just confused with λ and k? then this blog is for you!

Poisson Distribution Intuition (and derivation)

When to use a Poisson Distribution?

towardsdatascience.com

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AerIn

@aerinykim

3 years

Hi Twitter around the globe👋 Please join my talk at 1pm PST, Wed 6 Oct @Scale_AI TransformX! right before @hardmaru 's talk. I'm going to talk about ML models we built using LIDAR, our recent @NeurIPSConf dataset submission, SOTA annotation tools, etc.

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AerIn

@aerinykim

6 years

Memories of #ICLR2018 🤩👍

ICLR 2018 Posters Highlight (part 1)

This year’s International Conference on Learning Representations (ICLR) was held in beautiful Vancouver, Canada and this is a quick trip…

towardsdatascience.com

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AerIn

@aerinykim

5 years

We often frown upon the concept of manual feature engineering, but if you look at *any* NLP model (BERT, transformer, etc., you name it!) that we are using now, their network structures are highly manually engineered too! ;)

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AerIn

@aerinykim

4 years

Almost all COVID-19 clinical studies use Chi-square test and P-value. "... when the coronavirus patient shows signs of dizziness (p-value 0.007), should he be sent to ICU, our most important resource?" Here is how to correctly interpret them.

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AerIn

@aerinykim

4 years

@abbyvesoulis @abbyabrams In South Korea, the cost of 19 days of hospitalization for complete corona treatment is $9700. Every single patient's out of pocket cost is $44. The government pays the rest.

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AerIn

@aerinykim

4 years

I was Æ-rin before it was cool.

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AerIn

@aerinykim

6 years

@juliaraneyj

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AerIn

@aerinykim

5 years

Started using VisualStudio @Code for the first time this week. What a luxurious and pleasant @pytorch debugging experience! Way beyond my expectations 👏 #vscode

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AerIn

@aerinykim

4 years

@srush_nlp @stanfordnlp @huggingface @Thom_Wolf Thank you! Huggingface is doing what openai was supposed to do.

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AerIn

@aerinykim

4 years

training vs serving data (imo this affects # the most) 2. outliers in training data 3. data drift: how data changes over time 4. fairness: sample size disparity, unwarranted association, proxies 5. robustness: some changes (noise, perturbation, etc.) to the input should not

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AerIn

@aerinykim

6 years

After attending ICLR/NIPS, I conclude Research (or tech in general) compared to other industries, is a place of true meritocracy, transparency, accountability and integrity. People who possess those qualities flourish here. I'm constantly awed and inspired by humans in this field

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AerIn

@aerinykim

6 years

@karpathy

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AerIn

@aerinykim

7 years

For ppl who are sad today #bitcoin

gregschoen.eth

@GregSchoen

13 years

I wish I had kept my 1,700 BTC @ $0.06 instead of selling them at $0.30, now that they're $8.00! #bitcoin

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AerIn

@aerinykim

4 years

I wrote a short article on Operations Research, one of the most fastcinating and amusing subjects in applied math (but not that well known major in universities) and also one of the most widely used techniques in Machine Learning!

Towards Data Science

@TDataScience

4 years

Operations Research — what, when and how by @aerinykim

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AerIn

@aerinykim

4 years

Kicked off my first day at @scale_ai and feeling great!

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AerIn

@aerinykim

4 years

change classifier’s output 6. case level testing 7. differential privacy: whether any one individual's data has a significant effect on outcome 8. data versioning: auditability and traceability 9. data / model relevance: don't overcomplex the model than it's necessary

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AerIn

@aerinykim

6 years

So far the best #ReinforcementLearning blog post that I've read in 2018. (Disclaimer: I put my two cents here.) So clear and so original.

Denny Britz

@dennybritz

6 years

Decided to write up something a little different from my usual posts: Introduction to Learning to Trade with Reinforcement Learning

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AerIn

@aerinykim

3 years

I'm so happy that the holidays are coming because I can study. Am I the only one who feels this way?

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AerIn

@aerinykim

10 months

My founding team (the first 4) will be all women. I think it's possible.

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AerIn

@aerinykim

4 years

We need to treat data more seriously in ML pipeline, on par with the architecture and framework. It will affect the applicability and scale of your research. A now-deleted anonymous tweet says

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AerIn

@aerinykim

5 years

@RampCapitalLLC @CNBC . @RampCapitalLLC @charliebilello

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AerIn

@aerinykim

3 years

The best AI products can't be built from boxed solutions. Your engineers would need to customize the data/models (not through YAMLs!) and they need very transparent tools, not just cloud services.

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AerIn

@aerinykim

4 years

As some of you already know, today is my last day at Microsoft. (also the day that President Trump tested positive) I’m very proud of what my team has accomplished. We built a world-class QA product with the most powerful set of AI capabilities on enterprise structured database!

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AerIn

@aerinykim

5 years

Had an amazing experience at #SOCML 2018. 1. There was a free exchange of the information and ideas. I learned so much technically and practically. 2. Every single person I met here was extremely kind. They were tolerant to each other. #UtopiaML

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AerIn

@aerinykim

2 years

Hi Twitter👋 Come to my tech talk tmrw @scale_AI exchange! I'll discuss our new stance detection dataset (Reddit 50k) and how to make the best use of it. Spoiler: predicting stance can be a graph problem.

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AerIn

@aerinykim

1 year

Went to a friend's birthday party, met 3 founders, and found out we are all now working on search. (because openai solved the conversation layer.) It's interesting to see search is being talked about again and there still isn't a good search API. (is it because it's too valuable

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AerIn

@aerinykim

6 years

Another exemplar, informative talk by @goodfellow_ian “Defense against the Dark Arts” #CVPR18

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AerIn

@aerinykim

3 years

Our Reddit 43K: A comment-reply dataset for dis/agreement detection paper just got accepted inaugural @NeurIPSConf dataset track! from amazing & dedicated @lejohnyjohn6 , Valentina Semenova, @__alexmatton , Rachel Han, @RenaudLambiotte , Doyne Farmer. paper:

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AerIn

@aerinykim

2 years

Are you going to #CVPR22 ? Do you have data/ML problems you want to solve? Are you looking for fall or spring internships? DM me. @scale_AI is working on the world's most exciting data problems!

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AerIn

@aerinykim

2 months

My favorite attraction at #GTC24 is robo doggie 🐶 #GTC24SnaptoWin @NVIDIAGTC

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AerIn

@aerinykim

2 years

Bidding on Neurips dataset work, I'm so excited to see real-world data from organic needs that is closely tied to the applications. Really appreciate authors' decision to make the data accessible to a larger audience. Some highlights: - Skin disease data (densely annotated)

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@aerinykim

6 years

#CS224n is such a useful mooc for NLP startups! Probably the best #deeplearning application mooc available.

Abigail See

@abigail_e_see

6 years

Excellent turnout as @RichardSocher kicks off #CS224n : Natural Language Processing with Deep Learning at #Stanford !

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AerIn

@aerinykim

1 year

Some personal news: It’s been an amazing journey helping Scale reach its goals over the last two years, but it is time for me to pursue something different. During my time at Scale, we accomplished some remarkable things, such as building the largest revenue product that didn't

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AerIn

@aerinykim

5 years

I know I'm going to lose 100+ followers by retweeting this.. but this number needs to be improved. I know many capable women (not only in tech) constantly getting low-value work, ended up not having enough time to develop oneself. People who spend more time on low value tasks are

MMitchell

@mmitchell_ai

5 years

The [gender] gap in artificial intelligence is three times larger than in other industries ... Women with AI skills are more likely to be employed as data analysts and information managers, while men tend to land in more lucrative and senior positions.

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AerIn

@aerinykim

4 years

Whenever I find a person to be exceptionally mature, or thoughtful, or kind, almost always, their family member is ill or has some kind of special needs. In that sense, maybe living with some form of hardship is what makes a better human being.. maybe.

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AerIn

@aerinykim

7 months

@ylecun Where are women?

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AerIn

@aerinykim

4 years

@tkasasagi Tarin😂 from #1 you are eliminating 99% of the population!

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AerIn

@aerinykim

6 years

How to create geometric #GIF using only #Python ? If you like visualization and math, take a look at (and contribute to) PyRay ()! Discussions on @reddit : …

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AerIn

@aerinykim

4 years

#NewProfilePic

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AerIn

@aerinykim

4 years

Having a very pleasant virtual experience at #ICLR2020 ! Zooming to discussions actually works 👍 The functionality that I like the most is the *similar papers* on each paper. (why didn't we have this before?) Thank you for the amazing work! @iclr_conf

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AerIn

@aerinykim

6 years

#NIPS2017 @IntelNervana rocks!!! 😍😍😍

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AerIn

@aerinykim

8 months

I'll be presenting a RLHF session at AI Summit Seoul on the 14th, starting at 2pm KST. We'll be diving into the intricacies of instruction data prep, so come hang out!

AI Summit Seoul - AI Summit Seoul

AI Summit Seoul features world-class experts in AI technology and research.

aisummitseoul.com

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AerIn

@aerinykim

3 years

Why a human-in-the-loop auditing tool is necessary. Good read:

Characterising Bias in Compressed Models

The popularity and widespread use of pruning and quantization is driven by the severe resource constraints of deploying deep neural networks to environments with strict latency, memory and energy...

arxiv.org

Sara Hooker

@sarahookr

3 years

We show this in our work on compression. Pruning and quantizing deep neural networks amplifies algorithmic bias. and

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AerIn

@aerinykim

7 years

Some people are disappointed when I tell them #MachineLearning is Math.

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AerIn

@aerinykim

1 year

After tax day thoughts: When 30% to 50% of ppl's paychecks are taken for taxes, shouldn't we expect some basic safety in return? 🤔 The US gov isn't even responsible for healthcare. So I'm interested what's keeping the SF local gov from providing some level of safety.

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AerIn

@aerinykim

5 years

@CNBC @techleadhd Respect THE TECH LEAD 🤴👨‍💻👍👏

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@aerinykim

3 years

@russelljkaplan @karpathy @RichardSocher @jcjohnss I.. I.. have.. an.. Android!!

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AerIn

@aerinykim

6 years

This is why @wimlds praise @goodfellow_ian so much. A genuine person who helps others. Fun Facts: He applied for an internship and Stanford downgraded his transcript. In mathematics, none of the four most recent Fields Medal winners has over 5,000 citations.

[email protected]

@DrVeronikaCH

6 years

How I Fail - Ian Goodfellow (PhD'13, Computer Science) - interview with @goodfellow_ian

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AerIn

@aerinykim

5 years

@ananis25 @code @PyTorch 1. It shows values inside tensors. (Left panel) 2. By simply mousing over, you can see the variable's shape, weight, bias, dtype, device, etc. No, I only needed python extension and it automatically took care of it.

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AerIn

@aerinykim

5 years

All I want for 2019 is @Medium to add Latex support! We love Medium but why doesn't Medium love us (math writers) back? Math equations are essential in scientific writing! This shouldn't be too hard.. Maybe @MathJax could help? @ev

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AerIn

@aerinykim

7 years

I'm giving away free #AIWTB tickets! Retweet! @goodfellow_ian , Sam Altman, Yoshua Bengio, Siraj and I are speaking

AI With the Best returns September, 2018

AI With the Best is the world's largest AI conference for developers held exclusively online.

ai.withthebest.com

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AerIn

@aerinykim

3 years

A great way to kick off #NeurIPS2020 ! Check out the @scale_ai EXPO talks: Dec 6, 4pm PST "Scaling Data Labeling with ML" by @phelixlau 6pm PST “Visually Debugging ML Models with Nucleus” by Elliot Branson We will be around for questions after the talk. See you there!

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AerIn

@aerinykim

2 years

Come visit our poster #221b at #CVPR2022 today! Recognition: Detection, Categorization, Retrieval. See how we handle multi-category attribute predictions (e.g. color, moving/not moving, signal flashing) in detected objects (e.g. a vehicle)! @go_krm @elliot_branson @scale_AI

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@aerinykim

4 years

Am I the only one who noticed ALL-WOMAN keynote speakers at #BayLearn2020 ? 👏👏🥳👍👌👩‍💻👩‍🔬💃😍

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@aerinykim

2 years

"GlideNet" accepted at #CVPR2022 I'd like to highlight some interesting aspects of our work. 1. In real-world applications, it's critical to assign visual attributes (color, shape, motion, etc.) to detected objects. This is usually formulated as a multi-label classification

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@aerinykim

3 years

"Is word2vec supervised or unsupervised? It is supervised in a sense that we punish wrong predictions during the training but the corpus is actually not labeled. So it's unsupervised as well." No one in the room answered my question saying "it's called self-supervised learning!"

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@aerinykim

1 year

I'd like to share the work of one of the best scientists that I know! @DreamwaveAI I uploaded only 5 really boring, no-makeup images, and it gave me 200+ model shots with different clothes and backgrounds. Reply👇 for an April Fool's discount coupon!

Real me or AI me?

Some of the photos in the quiz are real, and the rest are AI. How many can you tell apart?

www.dreamwave.ai

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@aerinykim

4 years

Where do you get training data for your ML applications? 1. From research dataset. (then diligently tweaking data) 2. Collect from our app (I guess you already have sizeable app up and running?) 3. Buy from 3rd party (from who? Upwork? Pls comment) 4. Hire Mturks and author w em

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@aerinykim

4 years

@aleonardobecerr @tkasasagi This is what to look for in your future partner (listed in order of importance) 1. kind & generous 2. healthy 3. financially responsible 4. can have sex 5. love children

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@aerinykim

2 years

They made every detail available to the public. It was much-needed best practice. Love this work.

AI at Meta

@AIatMeta

2 years

Today Meta AI is sharing OPT-175B, the first 175-billion-parameter language model to be made available to the broader AI research community. OPT-175B can generate creative text on a vast range of topics. Learn more & request access:

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@aerinykim

2 years

This is why we should always choose open over closed. Look at what has happened in the last two weeks since the StableDiffusion team decided to release the model in its entirety.

John Maeda

@johnmaeda

2 years

Surprised to be able to run #StableDiffusion locally on my M2's GPU in under 30 minutes. Definitely feels like a kind of 🚀 launch to me — I now get it.

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@aerinykim

2 years

My new profile picture, created by @VanceAInew ENG + AnimeGAN! Nice job! I love it ❤️

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@aerinykim

5 years

@AndrewYNg Wow many women in your team 👍

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@aerinykim

5 years

@danfenz This never gets old.. Mongodb webscale..

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@aerinykim

1 year

While I don't personally gain anything from OpenAI's success, watching their success unfold over the years is uplifting! To me, it's a clear demonstration of the power of meritocracy. People might think OpenAI only hires those with highest credentials, but that's not true.

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@aerinykim

6 years

Putting a bug in machine learning: a moth brain learns to read MNIST. Even this simplest biological NNs outperforms ML classifiers. Potential benefit of porting biological toolkits to ML tasks #ICLR2018 workshop poster #9 4:30-6:30p today

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@aerinykim

4 years

@hardmaru @elonmusk Agree! Some PhDs know less than me but only entitled 🔥🔥

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@aerinykim

6 years

saw this poster and thought of @tkasasagi . Document Enhancement using visibility detection #CVPR18

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@aerinykim

1 year

exist before and run many successful pilots. I'm looking forward to seeing Scale to further grow. As for me, I want to try out a few of my ideas and spend more time on my passion around education. I'll be in SF until this month, DM me if we should meet or if you work in Edu!

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AerIn

@aerinykim

6 years

Machine Reading for Question Answering #ACL2018 Workshop Room #201 11:35am Jianfeng Gao (my boss who doesn't tweet) giving a talk about Multi-step Reasoning Neural Networks for QA Panel Discussion at 4pm 🎤

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@aerinykim

5 months

Dear community, Have more children. They are the AGI.

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@aerinykim

5 years

This is a Youtube channel that I watch these days when I eat alone: "TechLead" by @PatrickShyu This guy is hilarious.. And profoundly insightful too! "IRL, there is no binary tree to traverse"

Why Software Engineering is hard

Ex-Google Tech Lead explains what makes software engineering hard. Learn new concepts each day in computer science, math, science, and algorithms at http://...

www.youtube.com

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AerIn

@aerinykim

5 years

VS @Code answered my prayer. This is addressing real pain points. 🙏

Visual Studio Code

@code

5 years

Introducing Remote Development for @code 🚀💻🛰️ A new set of extensions that enable you to open any folder in a container, on a remote machine, or in the Windows Subsystem for Linux (WSL) and take advantage of VS Code's full feature set. #remote 👉

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@aerinykim

4 months

@lucy_guo Let's be precise.. gay men*

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@aerinykim

4 years

@ylecun Usability always wins.

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@aerinykim

2 years

4. The result of this attack is impressive! 98% attack success (e.g. misclassification) rate. The best part was you only need to poison 1% of the data. 1% was sufficient to trigger the bad behavior. The more complex the architecture, the more vulnerable it was to an attack.

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AerIn

@aerinykim

1 year

Now, who is delivering the world's most groundbreaking AI products? A team of hungry doers in an org with relatively less bureaucracy! I've always suspected this to be true, but I hadn't seen a clear real-life example until now. I want to build a team like that.

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AerIn

@aerinykim

3 years

Watching Tokyo Olympics this summer, especially @AnnaKiesenhofer , the Austrian Mathematician who won the gold medal in cycling, made me think the concept of training is not unique to pro-athletes but also applies well to other technicians, e.g. engineers, musicians, dancers, etc.

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@aerinykim

1 year

Why make a dramatic prediction in such a short time frame? In my experience, working without drama leads to better outcomes every time.

Mckay Wrigley

@mckaywrigley

1 year

By 2024 you’ll be able to replace ~50% software devs with GPT-4 agents that run on $10 worth of tokens per hour. The whole “they don’t need sleep or breaks or food” thing? Yeah. That’s real now. Why hire a new employee when you can spin up an AI agent for 1/10 the cost?

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@aerinykim

3 years

• how we could use SSL for grounding • a new paradigm for conducting multiple tasks Thank you for reading!

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AerIn

@aerinykim

6 years

I received my iPhone XS Max 3 days ago. I’ve been using iPhone for 9 years but this time it's too much 😟 It's really heavy, slippery grip, awkward swipe. Among other things, where is my TouchID? You can't force me to FaceID! 🤯 I'm returning this... #HelloAndroid #GalaxyNote9

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AerIn

@aerinykim

11 months

Love this software engineer's explosive participation in ML since the chatgpt era. Before chatgpt, swes weren't very involved in ML or in developing AI products. Now it's swe's time to drive AI product advancements! LOVE their velocity and enthusiasm, and this is healthy.

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