迈克尔

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迈克尔

迈克尔

@St_Mikeal

Witty wonderer, slicing through illusions in a world of flux.

Beigetreten Ağustos 2009
4.9K Folgt669 Follower
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迈克尔
迈克尔@St_Mikeal·
Raised to cite, not to see. To uphold, not to understand. To reduce rich cultures to labels. To claim ‘right’ by inheritance alone. And to crucify curiosity.
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迈克尔
迈克尔@St_Mikeal·
@DegenRolf someone’s never turned down a woman before.
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Rolf Degen
Rolf Degen@DegenRolf·
Men's tendency to view women as sex objects is plain and simple fueled by sexual arousal and "is not merely the domain of a pathological few." Sexual objectification refers to the process whereby an individual is reduced to their sexual function, neglecting mental characteristics. Yet little is known about the proximal mechanisms that lead men to objectify women. In the present research, we introduced and found support for the Arousal Hypothesis of Sexual Objectification, which posits that, beyond dispositional traits (e.g. personality), temporary states of sexual arousal increase the sexual objectification of women. Across four experiments (N = 675), we found consistent evidence that heightened sexual arousal increases sexual objectification in men. In Experiment 1, sexually aroused men showed a greater preference for women’s sexual physical attributes (e.g. curvy, sexy) over psychological attributes (e.g. empathy, intelligence), Across all studies, neither personality traits (Dark Triad, Social Dominance Orientation, Sociosexual Orientation) nor relationship status moderated the arousal-objectification link.. Taken together, these findings indicate that sexual arousal contributes uniquely to state sexual objectification, above and beyond individual differences. The present findings suggest that a state-level, arousal-driven process can produce sexual objectification independent of power motives, Sexual objectification is often viewed through the lens of power and personality. However, the present research demonstrates that temporary states, particularly sexual arousal, can independently increase the objectification of women, even among men low in antisocial traits (e.g., Dark Triad traits) or high in empathy. This finding suggests that objectification is not merely the domain of a pathological few, but a broader tendency that emerges in response to mating-relevant cues.
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Jen Zhu
Jen Zhu@jenzhuscott·
Remember Atlas? What was that about?
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迈克尔 retweetet
☥𝐋𝐞𝐧𝐧𝐨𝐱
ppl w adhd do shit like procrastinate for 3 months straight & then in one 24-hr day knock out 3 months of tasks. you either know this life or you don’t lol.
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迈克尔
迈克尔@St_Mikeal·
@TheUnHeard_One a lecturer somewhere needs to update his cross contamination notes.
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The Nikki V.
The Nikki V.@TheUnHeard_One·
OMG!! Ladies…feed your men well!! 😂😂😂
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迈克尔
迈克尔@St_Mikeal·
@am27852 one corner, fresh tyres vs bald ones, race director on ctrl+Z. how?
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Zain
Zain@am27852·
Max Verstappen's last lap at Abu Dhabi which broke millions of Heart should be declared the Greatest Lap of this Century......
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Andreas Kirsch 🇺🇦
I'm speechless at Google signing a deal to use our AI models for classified tasks. Frankly, it is shameful. For HR, I'm not speaking on behalf of Google but in my personal capacity, quoting public information from a well-sourced article of a reputable publication
Andreas Kirsch 🇺🇦 tweet media
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Viktor
Viktor@ViktorKlopp·
How to go down stairs quickly lol
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CooperBaggs 💰🍞
CooperBaggs 💰🍞@edgaralandough·
If your ADHD ass is creative AF, has a heart of gold, eats the same 5 foods on repeat, and has zero clue how to monetize your brilliant ideas… welcome home! We regulate. We create. We get paid.
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Anton
Anton@largelazymodel·
@irl_danB The AI pleed guilty under oath. IN WRITING. See? It wasn't my fault. Time to sue Anthropic or something.
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dan
dan@irl_danB·
this post is sad and enlightening just an absolutely wild level of misunderstanding about these systems, even from technical people using them in production I’m at a loss for how to remedy this gap as urgently and as quickly as needed
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JER@lifeof_jer

x.com/i/article/2048…

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迈克尔
迈克尔@St_Mikeal·
@atmoio right, and i guess FSD is just Autopilot with extra loops.
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Mo
Mo@atmoio·
The greatest con of the decade was calling autocomplete “AI”. The second greatest is calling autocomplete-in-a-loop an “agent”.
JER@lifeof_jer

x.com/i/article/2048…

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迈克尔
迈克尔@St_Mikeal·
@airkatakana which volume were the bereaved families stored in?
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Air Katakana
Air Katakana@airkatakana·
we are sorry that an issue with our inference pipeline has caused robots powered by claude to kill their owners, leading to several hundreds of deaths to make up for this error, we are resetting rate limits for the bereaved families
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MERICA MEMED
MERICA MEMED@Mericamemed·
Never in a million years would I sit down
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Christophy Barth
Christophy Barth@ChristophyBarth·
@RembrandtNext @drekkz @matrixbt Note that everything, completely everything needs a guide (at least at first). Note that to run certain software, there are things you should know, depending on the configurations. Call it manual for physical stuff, in software, it's called README Which literally says "Read Me"
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Matrix
Matrix@matrixbt·
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迈克尔
迈克尔@St_Mikeal·
@poof_eth questions need to be questioned & graded.
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poof
poof@poof_eth·
Had a Jane Street interview in 2013 that still bothers me. It was my 6th round. Final interview. The guy walks in carrying no laptop, no notebook, just a cold brew and what I later realized was a single IKEA tea candle. He writes on the whiteboard: food: $200 rent: $800 utilities: $150 candles: $3,600 family: dying Then he turns around and says, “Optimize.” I laughed because I thought it was a culture-fit bit. He did not laugh. So I said, “Well, obviously you spend less on candles.” He says, “Assume candles are non-discretionary.” Okay. I start building a model. Basic constraint satisfaction. Family survival as a soft penalty. Candles as a state variable. Maybe there’s an arbitrage where you buy wholesale paraffin and convert the $3,600 line item into inventory. He stops me. “You’re thinking like a consultant.” That’s when I knew I was in trouble. He says, “Give me a bid-ask on family dying.” I say, “What?” He says, “You’re long candles, short family. Where do you make markets?” I try to recover. I say the real issue is liquidity: rent and utilities are fixed, food is elastic, candles are emotionally inelastic. Therefore the optimal strategy is to securitize future candle enjoyment and borrow against it. He nods for the first time. Then he asks, “What time do you sell the candles?” I say, “Whenever the market is liquid?” He says, “Be more specific.” I say, “Uh… 10 a.m. Eastern?” For the first time, he smiles. He goes, “Every day?” I say, “Every day.” He says, “In size?” I say, “In size.” He says, “And what do we call that?” I say, “Market manipulation?” The room gets very quiet. He looks disappointed and writes something down. “No. We call it providing liquidity to candle ETFs during the U.S. cash open.” I try to save it. “Right. Of course. The family isn’t dying because we underfunded them. They’re just experiencing temporary price discovery.” He nods again. Then he points back at the board. I had missed it. The utility bill was $150, but candles provide light. You can zero out utilities. I update the budget: food: $200 rent: $800 utilities: $0 candles: $3,750 family: still dying, but now in a more capital-efficient way He says, “How confident are you?” I say, “0.95.” He smiles and circles candles. “0.95 huh?” Then he asks me to estimate how many leveraged longs get liquidated if we dump $3,750 of candles at 10:00:01 every morning for 90 consecutive trading days. Needless to say I did not get the offer.
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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迈克尔
迈克尔@St_Mikeal·
@leerob @hnshah meanwhile cc is insistent on saying. “this does not sound like coding…” 😅
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Lee Robinson
Lee Robinson@leerob·
It wasn’t obvious to me one year ago that an excellent coding agent would also be the path to a general agent for all knowledge work. But now it makes a lot of sense. I’m interested to see where AI is at next year and what seems obvious then in retrospect.
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chepkemoi♡
chepkemoi♡@Chep1_·
BBC really said “video not available in your location” while the athlete is literally from here😭😭😭
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