andrew kim

product @atlassian • prev. @tesla @usciovineyoung

[andrew kim @amkim2003]

Venmo requests but with interest

[andrew kim @amkim2003]

@bykahlil @Henryyinn @naturalpay @thinkwithmark @EasonTang23 huge!!

[andrew kim @amkim2003]

@WarnerTeddy colored e ink is so sick

[andrew kim @amkim2003]

@uselemma_ai this is beautiful

[andrew kim @amkim2003]

@ddanielshin @zjearbear @USC rinsed u in poker tho..

[andrew kim @amkim2003]

there is a 1:1 ratio of waymo’s to non-waymo’s on alma

[Xiao Ma @infoxiao]

the longest distance between friends is not sf to nyc, it is sf to palo alto

[andrew kim @amkim2003]

@sean_pixel @ddanielshin bullish @ddanielshin

[andrew kim @amkim2003]

@interlatent beautiful!

[Mark™ @thinkwithmark]

Last year, we showed the world an AI bookmark. 10 million of you saw it. We've since gone to the drawing board to make something even better. Today, we're introducing Mark II. Pre-order now👇

[andrew kim @amkim2003]

@thinkwithmark

[andrew kim @amkim2003]

@zjearbear let’s go jearbear

[andrew kim @amkim2003]

the pivot @cluely should’ve made

[Hassan W. Bhatti @hwbhatti]

Think it. Say it. Done.

The average person spends 3 hours typing + switches 1,000 tabs per day.

That ends today.

Meet Lemon: The first voice-to-action AI agent that turns your voice commands into finished tasks.

RT + Comment "Lemon" to get free access for 30 days.

(must be following so I can DM you)

[andrew kim @amkim2003]

thank you @united

[andrew kim @amkim2003]

@iriscleung @SMSeddy shoutout Gangnam

[andrew kim @amkim2003]

@jacobrodri_ works surprisingly well

[andrew kim @amkim2003]

Why can't I AI chat with apple notes

[Tsla Chan @Tslachan]

People who watch this video may not believe it. 😂

These characters are Jensen Huang, Lee Jae-yong, and Jeong Eui-sun.

Yes, they are the CEO of Nvidia, Samsung, and Hyundai, respectively.

[andrew kim @amkim2003]

@leylndd what happened to ur kitchen?

[seanpixel 🫧 @sean_pixel]

you can now improve RL models WITHOUT ANY TRAINING.

Inspired by mechanistic interpretability for LLMs (cred: @jacobdunefsky @mlpowered @NeelNanda5), I applied sparse-transcoder methods to a CartPole policy and saw a +24% performance increase with zero additional training.

(1/9)

[andrew kim @amkim2003]

@WarnerTeddy congrats teddy!!