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add backlog
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‎posts/140325.md

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title: 'the day before'
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tags: 'journal'
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date: 'Mar 14, 2025'
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---
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we went to campus to setup at 4pm, and unpacked the $150 worth of decorations for our hackathon. decorations are hard, i spent an hour assembling this red dragon, and some more finding the right letters to spell Chinatown Hacks. things are coming together. before finishing the decor we had to rush home in a lyft for W's workshop. after dinner we ended up staying up till 2am working on the slides and prize planning. we planned to meet at 5:30 am. i slept at 2am.

‎posts/150325.md

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title: 'chinatown hacks day 1'
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tags: 'journal'
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date: 'Mar 15, 2025'
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---
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woke up at 5:15 am, so early i was completely immobilized, T helped wake me up. being up this early, i was so cold i was shivering. i had to turn on the space heater. stood in the kitchen getting warmed up for an hour while talking to T. got there at 7:06 am and started helping with decorations. everyone was frantically trying to put everything up, whatever that was red, it went up the walls.
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we rushed the slides until the very last minute at 10:10 before presenting. miss chinatown was there and gave a great speech. we sped through everything, and after the presentations, we all loosened a little, but still on our toes. we moved from one thing to the next, first the red bull, then the Tesla trucks, then the lunch from chinatown, then the boba, then it was the judging sheet and prize planning.
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in between the chaos, we got to hear the joys of students having a great time, being impressed and shocked by how cracked these kids are, petting the cutest corgi ever and giving her a massage, it feels surreal, the past 2 months we all kept trying to get kids, and now they're all here.
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stayed till 6:45pm and cleared everything up. tomorrow is another battle again, then we go back to our normal lives.

‎posts/160325.md

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title: 'chinatown hacks day 2'
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tags: 'journal'
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date: 'Mar 16, 2025'
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---
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we left at 9 am to pick up pastries from yummy bakery. we got there and prepped the pastries on the table. then i waited for my friends to show up. i checked them in and they started mentoring the students. after bringing the prizes down, unboxing the 12 headsets and 72 cars, i went on a cybertruck ride with B and W. it's such a huge car, driving it and parking it every day must be a pain. after coming back, i spent the entire time working on the judging sheet, and making sure things were ready for judging.
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i went on another cybertruck ride with chinatown mafia, with J driving. everything after submission deadline was chaos, i briefed the judges about the sheet, and the demo began at around 4 pm. the first team took 10 minutes, and we had to be more strict. all 13 teams took 2 hours to present, we ended the last presentation at 6:28 pm. which left the judges about 15 minutes. then we had to rush through our speech and present the prizes before our school started to kick us out. we finally left the building around 7:30 pm after cleaning up everything.
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yakiniku for kbbq, started at 8:50 pm, beer and soju, the premium set, ate till 11, they went to get boba after. got home at 12 am, took an hour to wind down. slept at 1 something. i have an exciting week ahead.

‎posts/170325.md

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title: 'ucsf ai research day'
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tags: 'journal'
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date: 'Mar 17, 2025'
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---
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i finally met everyone in person. vietnamese salad at Gott's Roadside is pretty good. UCSF medical campus is lovely, i admire the blue in mission bay conference center and the magnolias and pine trees in koret quad. spoke to B instead of standing at my poster most of the time. took caltrain down to san jose, it was an hour long ride. i called T while doing some work.
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met up with B for dinner at capi sparta mexican kitchen. got crispy tacos that hurt my gums but i enjoyed the conversation.
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checked into the hotel and felt alone at first, so i called T immediately. i'm wondering what the right balance is for solitude and togetherness. i don't want to develop an unhealthy attachment to her. but i know that every moment we share is precious-something i have to be grateful for. i need to apply the samem mindset more to the time i spend with my parents a well.

‎posts/180325.md

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title: 'nvidia gtc day 1'
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tags: 'journal'
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date: 'Mar 18, 2025'
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---
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a few notes from the keynote at SAP center, before i got kicked out 20 minutes in for sitting at the stairs, and jensen starting talking about GPUs and hardware.
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the AI wave started with (2012 Alexnet)
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perception AI -> generative AI -> agentic AI -> physical AI
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three problems
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- how to solve the data problem?
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- how to solve the training problem?
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- how do you scale?
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three scaling laws
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pre-training scaling -> post-training scaling -> test-time scaling "long thinking"
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reasoning ai inference compute > 100x one shot more tokens
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how to solve data problem?
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problem prompts -> model -> answer -> verifier -> back to model
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post training with RLVR > 100T tokens
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top 4 US CSPs
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- 2024: 1.3M hopper GPUs
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- 2025: 3.6 Blackwell GPUs (2-gpu per Chip)
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computing at inflection point
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2028 prediction $1T+ data center Capex
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- a new computing approach
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- increase in recognition that the future of software requires capital investment
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computer is generating tokens for software, not just retrieval of files
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computers are now AI factories, everyone will have two factories, one for the product, another for the AI
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CUDA-X for every industry
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- cuPYNUMERIC - numpy on GPUs
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- CuLITHO - computational lithography
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- ARIAL - 5G radio networks with AI
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- cuOPT - mathematical optimization (plan seats, inventory, plants, driver and riders)
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- MONAI - medical
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- Earth 2 - radiology imaging
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- cuQuantum - quantum computing
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- ...
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---
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and some notes for Yann LeCun's talk
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4 things he's excited about
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- understand physical world
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- consistent memory
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- reason
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- plan
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world models: models of the physical world
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- we all have it to allow us to manipulate thoughts and predict what happens
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- architecture: different from language architectures
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- tokens are discrete, probability distribution, 100k numbers, we know how to do this
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- we don't know how to do this with video, we have failed to predict next pixel, it spends all its resources to come up with detail that is not possible to predict
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- what works better: learn representation of image/video/natural signal and make prediction in that space
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- require techniques to prevent collapse where prediction is constant and the input is useless
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- AMI: advanced machine intelligence
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- systems that learn abstract mental models of world and reasons and plans (3-5 years)
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- scaling them up to human-level ai
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- reasoning with tokens is not the right way
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- JEPA models
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it takes human 400,000 years to read all text in the world, only 4 years by vision analog computing
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a joint embedding predictive architecture (V-JEPA)
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- sliding window of 16 frames, predict the next few frames, measure prediction error
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- baby humans at 9 months can understand gravity
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resnet: allows NNs to backprop all the way with many layers
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GPT replaced BERT style
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no need to mask data for training
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open source distributed training is the future
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---
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ate an entire branzino for dinner with HP with red wine at Rollati Ristorante. best dinner i've had the entire year.

‎posts/190325.md

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title: 'nvidia gtc day 2'
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tags: 'journal'
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date: 'Mar 19, 2025'
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stood at booth for 3 and a half hours at hp talking about ai studio, spoke too much my throat starting hurting. the people who came over were a wide spectrum, from people looking uninterested to people who were captivated by the software. there's a quality that the product and sales people have that i was missing, it's how they tell the story. they don't just talk about what it is, they talk about why you need it. that was hard for me to replicate.
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went to the influencer event, chatted with the hs students. red wine is a good drink to open up and chat more. met two HP ml engineers working on hp conferencing. the rest of the night were photos, listening to people talking, and having a good time.

‎posts/200325.md

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title: 'nvidia gtc day 3'
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tags: 'journal'
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date: 'Mar 20, 2025'
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lunch was shitake and tofu and yellow curry. i was prepping for the linkedin recruiter call the entire morning that i had to miss my shift at hp.
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after the call, and learning about the amount of leetcode and ML involved, i started stressing out. i kept stress eating free popcorn from gtc park. i ended up not have appetite to eat dinner, the $20 chicken salad sold at the hotel.
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i had to rush to judge the world's shortest hackathon judging at 8:45 pm, the projects i came across were okay. their judging process was fun to watch. it's interesting to hear their thoughts and how they come to a conclusion about the winners. the judging sheet was there just for vibes.
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i felt severe insecurity the rest of the night, possibly the jitters from the upcoming interview, i felt overwhelmed and numbed.

‎posts/210325.md

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title: 'nvidia gtc day 4"
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tags: 'journal'
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date: 'Mar 21, 2025'
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the last day of gtc was a slow day. i mostly spent time with the hp ambassadors. they're a fun group, and i got to pick up some hindi. we went to hinodeya, i ordered a pork bowl cause it was the cheapest. i took the uber with them back to sf, and napped a lot on the way. had hotpot with j and n at hotpot champ till 1 am.

‎posts/220325.md

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title: 'ticket to ride'
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tags: 'journal'
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date: 'Mar 22, 2025'
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went to A's house to eat my chow fun with beef and then to social study to start the interview grind. went to east mall for a thrift store with vintage games, records, and overpriced second hand clothes. went to the asian grocery stores and i finally found asian thai green curry paste. bought a pack of brown rice as well. took a model s home with A. played ticket to ride the rest of the night.

‎posts/230325.md

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title: 'leetcode grind'
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tags: 'journal'
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date: 'Mar 23, 2025'
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went to church for my confirmation class and stayed for the chinese service. it's good to see everyone again. bought some dimsum from wong lee and went to A's house for another interview grind session. leetcode is so hard, even the easy questions. i need to solve more questions. i need to understand fundemental patterns. there's no time to understand each of them now. napped halfway on the floor. i get so tired around 4-6 pm. the rest of the night i felt anxiety again, i couldn't feel anything. i could barely eat dinner.

‎posts/240325.md

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title: 'leetcode @ library'
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tags: 'journal'
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date: 'Mar 24, 2025'
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i spent most of the day at home to cook my chicken soup. after lunch i went to the library to get some leetcode in. then went to YMCA to finish up homework because the library closes at 6pm. i found a good github repo for [ML interview questions](https://github.com/khangich/machine-learning-interview). i was struggling to finish my homework, i just keep thinking about how much time i'm "wasting" while i could be interview prepping to get a job that pays 200k a year.

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