jaceyang

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jaceyang

jaceyang

@jaceyang97

ai engineer at ubiquant. e/acc.

Shanghai Katılım Eylül 2020
68 Takip Edilen60 Takipçiler
Susan Zhang
Susan Zhang@suchenzang·
occasionally i think back to this and wonder how much our imagination is constrained by the desire to mimick humans before questioning whether the human-form is worth mimicking in the first place and similarly how our metrics around high-human-skill can significantly deviate from high-machine-computable skill perhaps in both cases how quickly you prune your search space to compound "relevant" exploration-compute-time makes or breaks achieving your goals in your lifetime
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Geoff Keighley
Geoff Keighley@geoffkeighley·
PlayStation has reported a 765 Million dollar impairment loss due to underperformance by Bungie.
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jaceyang
jaceyang@jaceyang97·
the top comments on all these new tech/ai feature posts are so sycophantic now, it's unbearable to read.
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mensch
mensch@signoremosca·
Chinese international student pulling up to Real Analysis lecture, half an hour late dripped out in straight Burberry opening up his MacBook Pro and googling “what is a limit” before starting to post to xiaohongshu
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Zyphra
Zyphra@ZyphraAI·
Today we're releasing ZAYA1-8B, a reasoning MoE trained on @AMD and optimized for intelligence density. With <1B active params, it outperforms open-weight models many times its size on math and reasoning, closing in on DeepSeek-V3.2 and GPT-5-High with test-time compute. 🧵
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jaceyang
jaceyang@jaceyang97·
@Playerinthgame honestly before seeing this interaction i thought the analytics were kinda cute, like a nerdy / autistic way of expressing love. but this whole moving in to the product team thing makes it really cringe now.
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Silicon Valley Fodder
Silicon Valley Fodder@Playerinthgame·
the saddest part is, he's genuinely using it as a pitch to move from Marketing to the Product team
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jaceyang
jaceyang@jaceyang97·
@nicbstme bro this is like effing gold mine thanks for sharing
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Susan Zhang
Susan Zhang@suchenzang·
sure you're not completely "free", but if this is what daily life* could look like, would the lack of "freedom" be worth it? (*notably better for retirees than anyone else)
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Devon Eriksen
Devon Eriksen@Devon_Eriksen_·
This is what I call "The Death of the Reader". Authors write for readers, who aren't authors. Artists paint for non-artists. Musicians play for non-musicians. This keeps fiction, art, and music grounded. But when any group stops creating for an external audience, and starts trying to impress only each other, they create a weird, self-reinforcing feedback loop. This isn't clothing, or even fashion. It's a costume party. They're all trying one-up each other with something weirder and more eye-catching. So when an athlete, of recent and topical celebrity, who isn't a part of their Bored Billionaires' Club, shows up in a dress that's just a dress, of course they are going to mock her. She's just revealed that she didn't get the memo. That she's not an insider. How she looks to the world at large is not the point. This is why 99.999...% of copies of "Infinite Jest" have never been read. This is why John Cage "wrote" four minutes of silence. This is why competitive bodybuilders from the 80s looked like Greek gods, and modern ones look like gargoyle freaks. It's all the Death of the Reader. Hollywood doesn't make movies for you now. They hate you. They make movies for each other. And then cry about how you didn't buy a ticket, because they think your only role is to pay for their onanistic circle of self indulgence. This game isn't going to stop. It's just going to keep getting weirder until someone's dress malfunctions and catches fire, and the rest of us all have a good laugh.
Devon Eriksen tweet mediaDevon Eriksen tweet media
21@21metgala

Heidi Klum attends the 2026 Met Gala.

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jaceyang
jaceyang@jaceyang97·
@oracles these are getting out of hand lmao
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André
André@oracles·
Had a Jane Street interview in 2019. Round 8. Interviewer texts: 'Equinox Brookfield. 6 AM. Bring a calculator you won't use.' I show up. He's on the StairMaster reading a printout of the CBOE VIX term structure. Doesn't get off. Nods at the machine next to him. 'You see that guy on the rower? Goldman MD. Comes here every morning at 6:04. Leaves at 6:38. What's the implied vol on his arrival time?' 'I don't know his variance.' 'Sample size of one year, 250 sessions. Standard deviation is 90 seconds. Annualize it.' I do the math in my head. '90 seconds times sqrt(250). About 24 minutes annualized.' 'Wrong. You annualized like it's a return. Time-of-arrival doesn't compound. It's a Poisson process with drift. The correct answer is his arrival is more punctual than the 6 train. Now price me an option on whether he shows up tomorrow.' I think for a second. 'If he's been here 250 days in a row, base rate is 99.6%. But you have to adjust for his vacation schedule and probability of injury, call it 96%.' 'Strike?' '$10 if he shows, $0 if he doesn't.' 'I'll sell you that option for $9.40.' I think about it. 'No. Expected value is $9.60. You're underpricing by 20 cents.' 'Correct. Now why am I selling it to you?' I freeze. 'Because I just saw him limp on the way in. You're buying my information for 20 cents. You overpaid.' We get off the machines. Walk to the smoothie bar. He orders a $19 smoothie, doesn't drink it. 'Last question. The girl behind the counter makes 200 smoothies per morning. She has perfect information on who's actually here and who's faking it. Citadel guys leak their attendance to her every day for the price of a tip. If I gave you $50,000 to set up a market on which Citadel PM gets fired this quarter, what's your bid-ask?' 'Insider trading.' 'Wrong answer. There's no public security. Try again.' I think. 'I'd quote 8 to 12 percent on any given PM. Spread of 4 points to cover adverse selection. Tighten the spread for PMs I have data on.' 'Where do you get the data?' 'The smoothie girl.' 'Good. How much do you pay her?' '10% of P&L.' 'Wrong. You pay her a flat $200 a week. If you pay her on P&L she becomes your counterparty. Right now she's your data source. Don't conflate edges.' He hands me the untouched smoothie. 'Throw this out on Vesey Street, not in the building. The staff knows what gets wasted. Outside, it was consumed. Same smoothie, different signal.' I do it. Thursday I get the email. 'Offer rescinded. Your bid-ask on the PM market was too tight. 4 points doesn't cover the tail. The girl is a single point of failure and you didn't price her counterparty risk. Also you held the smoothie in your right hand. Right-handers throw with their right hand. Camera saw the hesitation.'
Deedy@deedydas

Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.

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jaceyang
jaceyang@jaceyang97·
@MartinShkreli that’s what the rappers meant when they said gator in my pocket i see…
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Martin Shkreli
Martin Shkreli@MartinShkreli·
SF is a dangerous town. I keep it on me.
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Nathan Lambert
Nathan Lambert@natolambert·
In Beijing and Hangzhou this week — want to talk to more AI researchers! Reach out.
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Ivan Zhao
Ivan Zhao@ivanhzhao·
We updated our 4 company values this week to keep up with how the company has changed. Here's what I shared with the team internally. I hope it could be helpful for other companies.
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张小珺 Xiaojun Zhang
张小珺 Xiaojun Zhang@zhang_benita·
一位AI研究员,猜猜是谁? An AI researcher, guess who? 👀
张小珺 Xiaojun Zhang tweet media
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jaceyang
jaceyang@jaceyang97·
@goodside imagine baker getting these images upon purchase requests
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Riley Goodside
Riley Goodside@goodside·
ChatGPT Images 2.0 (Pro) generates an f(x)=x^3-3x^2+2x cake:
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