HDX UZI @HDXUZII

This 993 project is finally nearing completion. We're a few weeks away 💪🏾

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Just found out you can turn off Amber alerts. Oh my goodness. I have finally muted Hispanic custody disputes forever

real men like unshaved pussy

Costco has been selling 1oz gold bars from a third-party Swiss dealer for a few years. The warehouser recently stepped up its precious metals game: it now sells Kirkland Signature branded 1oz silver bars (~$70), including an appropriately sized 5-pack for bulk shoppers.

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Great use of 1 hour 11 minutes and 18 seconds x.com/tyleraloevera/…

Tyler Oliveira @tyleraloevera

5 months ago

🚨 I Exposed Texas' Indian Invasion - Full Documentary Like and share on X to support our work!

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Jan Saudek

The fly is now addicted to gambling. I connected a simulated 166,606-neuron Drosophila brain to blackjack and gave it four outputs: hit, stand, split, double. Then I gave it access to my casino account. He has been gambling for over 6 hours.

A 2 dollar lottery ticket with a 1 in 300 million chance of a 500 million dollar payout has an expected value of negative 33 cents. A 30 thousand dollar car insured against theft in a neighborhood where 1 in 200 cars is stolen a year is worth positive 150 dollars in expected value. The math to compute either one takes 4 seconds. Almost no one runs it. Andrew Lo has been teaching Session 1 of MIT 15.401 since 2003. The Fall 2008 recording sits free on MIT OpenCourseWare. Every decision his students will ever make, from a stock trade to a job offer to which route to drive home, reduces to the same 4-second calculation. Expected value equals probability times payoff. Institutional desks run it before every trade. Retail investors run it before none. The gap between them has a name and it is not luck. The math is free. The willingness to run it before you sign is the entire fortune.

Lupen @0xLupenn

a month ago

x.com/i/article/2084…

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As of today US federal minimum wage would need to be $196 per hour to match the spending power of $1.60 per hour in July 1971

Prello @DPrello

4 days ago

The federal minimum wage is &7.25 an hour. A soft pretzel at the mall is $7.29. imagine telling someone an hour of their time is worth less than a pretzel

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Porsche in store final boss just dropped Lmao c’mon

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ブルネイ王室が新車時にオーダーした 世界唯一のマットブラックのエンツォ。 もーっとやばい個体が現れたな… いくらになるか楽しみだね🫪

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Yuhi @yuhi__0128

6 days ago

このエンツォ2004年式で走行距離7,680km しかもこのボディーカラーのエンツォは 世界に9台しかないと言われている 『 アルジェント・ニュルブルクリンク 』 こーれはかなり気になる個体🫨⁉️

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Ex Goldman Sachs trader on how your trading life reflects your personal life.

lol...lmao even

Try building a competing hazardous-waste incinerator. That’s where the $CLH thesis starts. Clean Harbors owns the facilities, holds the permits and handles waste that customers need properly treated. Q2 revenue reached $1.74 billion, up 12%. Net income rose 34%. The facilities are expensive to build and operate, and environmental compliance adds another hurdle. An unpleasant job can make a very interesting business.

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This is what the people want from me

HowlingReplicantGosling (EVIL) (NEFARIOUS) @HowlingBR2049K

5 days ago

More than halfway through 9/11 and today is the only day @Czar_Of_Silly hasn't posted about bush. Suspicious...

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BREAKING: Trump has said: The $5000 dividend will happen.

A company founded in 1867 just became one of Leopold Aschenbrenner's positions, and he added 49% more last quarter. Babcock & Wilcox $BW. They've been building industrial boilers since the Civil War. What changed is FastPower, their push into generation for data centres. Same equipment, new customer. He's holding 2,027,451 shares worth $28.6 million after buying another 673,551 in the quarter. Small position for him though. Worth keeping that in mind before getting excited. The setup: Needham started coverage August 31 with a Buy and a $20 target, backlog is $2.6 billion, and the stock sits 66% off its May high. Everyone's buying the chip companies. He's buying the thing that turns on the lights.

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BREAKING: OpenAI launches ChatGPT Wall Street, targeting financial services with integrated data from LSEG, PitchBook and Daloopa.

I am turning MAX BULLISH right now. Just like a river boat gambler holding his last chips I’m looking at the landscape and thinking fuck man we are in the fast take off stage right now. I want to put it all max levered long on the high beta names and walk off into the orange glow of the sun. My bullishness has absolutely nothing to do with the math problems that are being solved most of them don’t matter that much. But it’s more the realization that every AI lab just had. They all woke up and said wait a minute what are we doing selling $200 a month subscriptions to idiots who are making slop apps and nonsense substack articles when we can just subsidize a few super geniuses by giving them real compute to work on an important problem. No one really cares about navier stokes besides some CFD simulation cycles. But what if we put these compute resources on real valuable problems? That opens up a whole new world. The bull case for AI has always been to me discovering new drugs or even verifying they work/don’t work reliably… I was thinking way way wayyyy too small. There are hundreds of problems in engineering that if you got the experts in the room with real compute and even if they made a marginal improvement it would be worth hundreds of billions to the economy. Imagine we can build a steep slope device at 0.3V that’s worth like several generations of lithography nodes, or we can design a sub 100 femtojoul/bit optical IO and cut datacenter power by 40%, or even something as simple as more energy efficient molecular separation to replace distillation which is like 15% of all industrial energy use. This is the real shit guys. The labs are realizing quickly this is the REAL frontier this is the final land grab. Open source can never compete here because they don’t have the capital and resources this plays right into the labs hands. They can’t give everyone a 10,000 agent swarm but they definitely can give it to Exxon mobile and charge them $50M dollars for it if it means they find more oil or Dow Chemical to create a new kind of super glue or to Moderna to computationally create different mRNA therapies… the list goes on and on. A big reason why I never cared much for AI is despite all the normies going googoo Gaga over it is that literally they don’t have any clue what to do with it. Like if you were mediocre before AI you are mediocre after it, nothing changed u just got more skills that you don’t know how to use and you have no imagination or intuition. It’s the same reason why education is a waste on the majority of the population because let’s be real most of you aren’t going to be deriving differential equations or using epistemological concepts on your day job. But you give this kinda compute and unfettered AI in the hands of people who are world class. They will cook. It’s the reason why Deepmind has a Nobel prize and no other lab does because deepmind actually hired or worked with the top biochemists and biophysicists to develop alphafold. AI alone isn’t going to discover anything. Don’t fool yourself and grow up already if you still think AI is going to just figure out large scale nuclear fusion on its own then you are simply lost in the sauce at this point and are beyond saving. The pragmatic answer has always been use the AI to automate the busy work and keep the human experts for the actually thoughtfulness and intuition. I think the AI labs will wake up now and realize selling coding tokens and image models to normies to make Disney characters isn’t the best business in the long run. Actually using the compute for real serious innovation is and it’s really easy to monetize this upfront. I expect AI labs to stop looking like API companies and start looking like real research labs now. Thank god.