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lxm

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Uber, Lyft riders often see different fares for the same trip

ktla.com
2 points·by lxm·24일 전·0 comments

[untitled]

1 points·by lxm·30일 전·0 comments

Have a Thorny Medical Question? Your Doctor May Be Using A.I. For That

nytimes.com
2 points·by lxm·지난달·0 comments

They Spent Years on a Math Problem. Then They Were Scooped by A.I

nytimes.com
2 points·by lxm·지난달·2 comments

Running an AI-native engineering org

claude.com
2 points·by lxm·지난달·0 comments

China's Rise in Drug Development Looms over U.S.

nytimes.com
3 points·by lxm·지난달·0 comments

A Whole Generation Seems to Be Using 'POV' Wrong

nytimes.com
5 points·by lxm·지난달·0 comments

Subscription Fatigue Is Setting In

nytimes.com
2 points·by lxm·지난달·0 comments

Spy Tech: A Quiet Radio for Spies

hackaday.com
2 points·by lxm·지난달·0 comments

Why the smart home bubble popped

hackaday.com
43 points·by lxm·2개월 전·103 comments

Publishing's Latest Piracy Problem: Audiobooks on YouTube

nytimes.com
4 points·by lxm·2개월 전·0 comments

Everlane Finalizes Sale to Shein

nytimes.com
2 points·by lxm·2개월 전·0 comments

Housekeeping Wages to Top $110K Year in New York City by Early 2030s

loyaltylobby.com
1 points·by lxm·2개월 전·1 comments

Amazon E-Bikes Take Root in Manhattan and Brooklyn

nytimes.com
2 points·by lxm·2개월 전·0 comments

I Asked ChatGPT to Manage a Stock Portfolio

wsj.com
4 points·by lxm·2개월 전·2 comments

Everlane Represented a Millennial Ideal. Is It Dead?

nytimes.com
2 points·by lxm·2개월 전·0 comments

Walmart, Target and Dollar General Spend Billions to Make Stores Look Nicer

nytimes.com
3 points·by lxm·2개월 전·0 comments

Can Some Tiny Particles Cool the Planet? One Tech Company Says Yes

nytimes.com
2 points·by lxm·2개월 전·1 comments

Chinese EVs take the world by storm

nbcnews.com
6 points·by lxm·2개월 전·0 comments

Earthworms Don't Bio-Accumulate Microplastics, So There May Be Hope for Us

hackaday.com
2 points·by lxm·2개월 전·0 comments

comments

lxm
·15일 전·discuss
Very classy guy, sad day.
lxm
·5개월 전·discuss
They explain it towards the end - the videos are specific enough and the team was small enough that affected parties would identify him easily anyways.