moses @moseslua

i asked someone what was his latent state architecture for a causal world model he said causal rules okay, sure "z_t?" "yes" ???

String theory is probably a field that has set back quant trading by at least 10 years. Stealing top tier trading talent to do make believe 26 dimensional geometry, inflate boomer professors’s grant budget, and produce zero testable hypotheses or applications after 50 years

AlgoFlows @algoflows

4 days ago

jane street is probably a place that has set back science by at least a 100 years. Stealing top tier research talent and making them do high speed coupon clipping to make rich people richer and also organize military coups in South Sudan.

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We're launching the microagi Research Fellowship. Fellows get up to $2M in compute, robotics hardware, our evals, and one of the largest physical AI datasets ever assembled. You build in our lab, with our team, alongside partners like Unitree, Nvidia, and Google Cloud. The hard part of AI left is physical. That's the part we're working on. Come build with us. One more thing: know someone who belongs here? Reply with their name. If they get in, we send you 10.000 USD

@DavidePiffer

@EastlondonDev sick!

"To listen to the soul, we must lend an ear, because the soul's voice is not a shout, but a whisper."

Pope Leo XIV @Pontifex

a week ago

Connecting young people to digital networks serves no purpose if they remain disconnected from themselves, others, and their own interiority. We must help young people rediscover silence, reflection, the ability to ask questions, the depth of relationships, and openness to

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i didnt wake up a loser

Mario Nawfal @MarioNawfal

a week ago

🇺🇸Jensen Huang is out there living his best life, dancing at the NVIDIA all-employee celebration event in Taipei, Taiwan You'd never guess he's the CEO 😂

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as a founder i struggle to understand what hard work is but i dont think this is it in this line of work 2 hours of work can easily trump 20 for pro valorant i grinded 12 hours a day during yc i worked “7 days a week” despite success i burned out in both now i work a little bit more “balanced” schedule (5-6 days a week, ~10 hours). i get more work done, i make way better decisions, and theres still an argument to be made that i could do more by doing less at a startup, there’s infinite things to do, no matter how much u work. its much more about tackling whats important rather than how much. i’m not sure if i’m correct on my current setup either, i think i would benefit from having both more structure (consistent sleep/wake up time) and less structure (work doesnt always have to look like office work, if anything the most important things happen outside it). i just think this narrative below is wrong, contradictory from my experience.

Harry Stebbings @HarryStebbings

a week ago

"If you are not working 7 days per week, you are going to lose". Corgi Insurance is the most intense workplace culture in startups. - The company works 7 days per week. - Founder (@nico_laqua) lives and sleeps in the office. - He built a cafe in the office because there was

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i will code my algos i will code my algos i will code my algos i will not be lazy i will not be lazy i will not be lazy i will not call stupid options i will not call stupid options i will not call stupid options i will utilize my brain to make money i wont gamble

My girlfriend called me at 2am crying. She had seen a photo on Instagram of me and another girl at a party. She sent me the photo. I looked at it and I'm like, what? Only my nose looks like the guy in the photo! I keep telling her, “We're not the same person,” but she is not ready to accept it. She then forwarded the photo to my friends asking them to confirm. Even they were confused. Bro that really does look like you. Now, at this point, the only hope I have is my last line of defense - a Cosine Similarity Test. I know you guys are thinking, what the hell is this Cosine Similarity. Cosine similarity is a mathematical way to measure how similar two things are by treating them as vectors in space. Think of it like measuring the angle between two arrows - the smaller the angle, the more similar they are. In math, cosine similarity works like this: cos(θ) = A·B / (|A| × |B|) Where: - A·B is the dot product of A and B. - |A| and |B| are the magnitudes. Understanding the Scale (-1 to 1): - cos(0°) = 1 : Perfectly identical - cos(45°) = 0.7 : Partially similar - cos(90°) = 0 : No similarity at all - cos(180°) = -1 : Complete opposites Now let me prove to my girlfriend that the guy in the photo is not me. Let's say my facial features are Vector A and the guy in the photo is Vector B: Vector A = [2, 4, 6, 8] Vector B = [1, 2, 3, 4] Step 1: Calculate Dot Product Multiply each corresponding element and add them all up: A·B = (2×1) + (4×2) + (6×3) + (8×4) A·B = 2 + 8 + 18 + 32 A·B = 60 Step 2: Calculate Magnitude Take the square root of the sum of squares of each element: A = [2, 4, 6, 8] |A| = √(2² + 4² + 6² + 8²) |A| = √(4+16+36+64) |A| = √120 B = [1, 2, 3, 4] |B| = √(1² + 2² + 3² + 4²) |B| = √(1+4+9+16) |B| = √30 |A| × |B| = √120 × √30 |A| × |B| = √3600 |A| × |B| = 60 Step 3: Apply the Formula cos(θ) = A·B / (|A| × |B|) cos(θ) = 60 / 60 cos(θ) = 1 Cosine of 1 means perfectly identical. Congratulations 🎉, you just learned Cosine Similarity. Bonus: Why does AI/ML care about cosine similarity? Recommendation Systems: Netflix uses it to find movies similar to what you have watched. Image Recognition: AI systems compare feature vectors extracted from images to identify faces or detect similarities between pictures. Document Classification: Text classification systems use it to categorize emails as spam or not spam by comparing document vectors.

if u think ur edge in trading comes from an "agent harness" ure just getting scammed by the second TJR

@EastlondonDev hahahahha china spicy is different id say, its like numbing! if there is a kitchen and an asian market ill whip something up for the team when i get there!

@EastlondonDev The staff is really friendly and they try to make it as easy as possible for new buyers so I'd say 幽兰拉铁 youlan latte would be good, will send a picture here

Today, we're launching shift. We're starting by cleaning your apartment in New York City, for free. Here's how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing. In exchange, we record the cleaning. Robotics is being built on data about how people do daily tasks, and the value of that recording is what funds the service. Anything personal in it is anonymized before the recording is processed. By now, you have heard about the shift to AI more times than you can count. About the shift toward you, the part where you actually feel it, you have heard almost nothing. Shift is what starts to make it concrete, in specific cities, with specific services. Today, cleaning in New York. Soon, handymen, repairs, and errands across the globe. And this is just one side of shift, with more on the way. Comment “shift” and we’ll send you an early access link.

@jparkjmc shiftX is fucking awesome

马斯克说，大学基本上就是用来玩的，不是学习的地方。 读个好大学也证明不了你有超凡的能力，只能证明你能完成一些分内的杂活儿。 大学的真正价值有两个，一是熬过那些无聊作业的过程，能让你学会硬着头皮把事情做完， 二是给你一段缓冲期，让你在被推进社会之前，先和同龄人一起混一段时间。 至于学习知识，现在网上免费就能拿到，想学什么都有，用不着去大学。

@MasterLogician_ bro please read their mission before anything 🫩

theta decay is eating my contract profits like a little hungry child

AI economy = cheaper goods & services everywhere even before an agentic robot has seen the light of day

Bercan @bercankilic

2 weeks ago

Today, we are launching shift. Starting in NYC, we are bridging the economy of today into the AI economy where all services, goods, and leisure will be affordable, and humanity will progress towards abundance. Please enjoy your free home cleaning and join shift for a lot more!

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