Wild Wall Street

China has revealed a spherical police robot designed to autonomously pursue and immobilize criminals by shooting nets and rolling at speeds of up to 35 km/h.

Polyrhythm is the simultaneous use of two or more rhythms. Tapping exercises with the metronome are important to master the most basic of polyrhythms. And it's something that requires huge coordination. [📹 Débora Noemi / deboranoemisb]

Michael Jordan

@codewithimanshu CLAUDE

I made $32,400 in 14 days copy-trading a Chinese student who turned $0.90 into $408,292 on Polymarket in 48 hours. One Claude prompt. 20 minutes. A bot that prints money in the 100ms gap between Binance spot and Polymarket CLOB. I've made the exact build guide. Giving It Free for 24 hours. To get it: 1. Comment "CLAUDE" 2. Like and Retweet 3. Follow me @codewithimanshu (Only then, i can DM you) You only need Claude + a device + 1 hour/day. The wallet that started this. His handle: Gravia on Polymarket. Only 2 days old. Almost zero viewers. $0.90 to $408K in 48 hours. I reverse-engineered his terminal. Had Claude build the same bot from one prompt. 20 minutes. Done. What the bot actually does: → Pulls real-time BTC data from Binance WebSocket + 5M K-lines → Cross-references TradingView signals + CryptoQuant exchange flows → Uses MiroFish force-graph engine to map 100 nodes / 180 edges → Detects convergence in BEAR / BULL clusters → Catches moments when Polymarket CLOB lags spot price by >0.3% → Executes in <100ms before contract reprices → 1,000+ orders per second on UP/DOWN 5MIN markets → Grabs 0.3-0.8% per trade → Skips if no edge, thin liquidity, signal conflicts, or daily cap hits Risk controls baked in: → Per-trade risk: 0.5% → Daily cap: 2% → Hard stop: -0.4% → Runs on local terminal → No cloud. No GPU. The edge: → Not predicting BTC → Exploiting Polymarket's 100ms CLOB lag → Profit captured in milliseconds, not days The expiry date: → Polymarket patches the lag → Quant funds enter → Edges compress. Window closes. A student with Claude is pulling HFT returns right now. In 12 months this opportunity is gone. The 2 questions everyone's asking: → How big can this 5MIN scalper scale before it breaks? → Will Polymarket ban it? You only need Claude + a device + 1 hour/day. Save this post. Build the scalper this weekend. Start with $100. Scale on evidence. You Must Follow me @codewithimanshu, so i can send you DM.

@NehasThomas @PopCulture2000s Bobby Brown?

@PopCulture2000s Boy, we really didn't realize how good we had it back then. We had Michael, Janet, Whitney, Mariah, Madonna, Boyz II Men, TLC, Tupac, Biggie, Bobby Brown, etc. Absolute legends.

the greatest siblings this industry has ever known

Dow futures drop 400 points as Iranian war tensions escalate: Live updates cnbc.com/2026/04/19/sto…

A humanoid robot won a half-marathon in Beijing in 50 minutes and 26 seconds, finishing faster than Ugandan runner Jacob Kiplimo's world record. Read more: cnn.it/4dWXNC6

@gzeromedia @JChengWSJ Hi. A request: could you say the word "Beijing" the way the Chinese say it? The J in the 2nd syllable should have a normal J sound. The way your guest, Mr. Cheng, said it. The "gzing" sound that some Westerners use is incorrect, made up years ago by some misinformed media person

Is North Korea's personality cult a religion? @JChengWSJ makes the case. "You're literally singing his praises, memorizing his scripture. This is a different thing." #GZEROWorld

@realBigBrainAI "...the very beginning of the longest and most consequential technological transformation in human history." No, that was the invention of written language. Not AI #al

Marc Andreessen explains why we are only three years into what is effectively an 80-year technological revolution: He opens with a blunt assessment: "This is the biggest technological revolution of my life. This is clearly bigger than the internet. The comps on this are things like the microprocessor and the steam engine and electricity." But to understand why, you have to go back 80 years. In the 1930s, the pioneers of computing understood the theory of computation before they'd even built the machines. And they faced a fundamental choice. Build computers in the image of the adding machine — hyper-literal, mathematical, capable of billions of operations per second, but unable to understand human speech or deal with humans the way humans like to be dealt with. Or build computers modelled on the human brain. Neural networks. They chose the adding machine. And that single decision shaped everything — mainframes, PCs, smartphones, every dollar of wealth the computer industry created over the next 80 years. IBM itself is the successor company to the National Cash Register Company of America. The lineage runs that deep. But here's what makes this moment so extraordinary. They knew about the other path. The first neural network academic paper was published in 1943. Marc points to a remarkable piece of forgotten history: "There's an interview you can watch on YouTube with the authors. It's him in his beach house, not wearing a shirt, talking about this future in which computers are going to be built on the model of the human brain." That was 1946. The vision existed. The path just wasn't taken. So neural networks spent the next eight decades living in the shadows. Kept alive by a small academic movement — first called cybernetics, then artificial intelligence — that refused to let the idea die. And for most of that time, it simply didn't work. "It was basically decade after decade after decade of excessive optimism followed by disappointment." By the time Marc reached college in 1989, AI was a backwater field. Everyone assumed it was never going to happen. But the scientists kept working. Quietly building up an enormous reservoir of concepts and ideas across those decades of disappointment. And then Christmas 2022 arrived. ChatGPT. And suddenly: "All of a sudden it's like: oh my god. It turns out it works." That moment wasn't the start of something new. It was the payoff on an 80-year-old bet that almost everyone had written off. Which is exactly why Marc's framing matters so much: "We're three years into what is effectively an 80-year revolution." Most people are treating AI like another technology cycle — something to adapt to, ride, and wait out. But if Andreessen is right, we are not adapting to a new cycle. We are standing at the very beginning of the longest and most consequential technological transformation in human history. The road not taken in the 1930s is finally being built. And we have barely broken ground.

Passengers on a commercial flight capture the launch of Artemis II. Nasa’s moon rocket Artemis II launched on Wednesday evening, carrying astronauts to the moon for the first time in almost 54 years. The rocket is now orbiting Earth and will continue to do so until Thursday, when the translunar injection burn will take place and send it on the rest of its 240,000-mile journey to the moon. Inside the Orion capsule, the four astronauts onboard immediately began tasks to assess how the spacecraft handled the 17,500mph ascent to orbit.

@JohnFSilver @Scaramucci The people on the other side of the trade don't know the identity of who they are selling to.

Let me walk you through what happened one hour before Trump announced the five day moratorium on Iran strikes. $1.5 billion in notional S&P E-mini futures contracts. Four to six times normal activity. One hour before the announcement. Simultaneously, $192 million in crude oil futures purchased at the same time. They made between $300 and $400 million dollars off those trades. Trump claimed he spoke to an Iranian official to negotiate the moratorium. The Iranians said that person doesn't exist and the conversation never happened. This is not the first time. It has happened multiple times. He says something. The trade goes on. He says another thing. The market moves. But whatever you call it — they are laughing at you and they are laughing at me while they do it. Hunter Biden sold a painting and Washington lost its mind. These people are making hundreds upon hundreds of millions of dollars trading on information that only exists inside the most powerful office in the world. I think we are dramatically underreporting how much money is actually being made here. This isn't politics anymore. This is a financial operation running out of the White House.

Sam Altman said people saying “please” and “thank you” to ChatGPT costs OpenAI tens of millions of dollars a year in compute. 67% of Americans do it anyway. Run the math on why. A 2024 Waseda University study tested LLM responses across politeness levels in English, Chinese, and Japanese. Impolite prompts produced measurably worse outputs: more bias, more errors, more refusals. Moderate politeness consistently beat both extremes. The mechanism makes sense once you see it. Polite prompts pattern-match to higher-quality training data. When you write “Could you help me structure this analysis?”, the model pulls from professional, well-reasoned text. When you write “give me the answer,” it pulls from Reddit. Google DeepMind’s Murray Shanahan explained it simply: the model is role-playing a smart intern. Treat the intern like a colleague, you get colleague-quality work. Bark orders, you get minimum-viable compliance. Now look at the cost side. OpenAI handles over a billion queries daily. Each GPT-4 query uses roughly 2.9 watt-hours, ten times a Google search. But OpenAI just raised $40 billion at a $300 billion valuation. Tens of millions in politeness tokens is a rounding error on a rounding error. 67% of users do it anyway, and 55% of them say it’s because it’s “the right thing to do.” They’re maintaining a behavioral habit that governs every other interaction in their life. The parent who teaches their kid to say please to Alexa isn’t doing it for Alexa. They’re doing it because the alternative is raising someone who learns that being rude gets faster results. Telling 900 million people to stop saying thank you so OpenAI can save 0.01% of operating costs is the most engineer-brained optimization take on the internet. You’re training yourself to treat every interaction as a transaction. And that habit doesn’t stay in the chat window.

@yutozxx meme make male mole mine mime made maintenance manufacture...

Don't use Google Let's see what you got

I want AI to do the laundry and dishes while I do art and literature. I don't want AI to do art and literature while I do laundry and dishes. The future is robots, not just LLMs #Nvidia #stocks #AI #Dubai #crypto #wsj #$tsla #openai #ArtificialIntelligence #robotics #technology

Flipa con el robot. Al principio pensé que era CGI, porque los movimientos son demasiado "irreales". Pero no → es el Robotics and AI Institute, el laboratorio de Marc Raibert (el fundador de Boston Dynamics) enseñando un robot real de dos ruedas haciendo hops, salvadas rarísimas de equilibrio fuera del plano, y hasta flips en suelo plano. Y lo importante no es el stunt. Lo importante es la receta de entrenamiento. Básicamente lo han conseguido así: • Entrenar la policy de control con reinforcement learning • Darle millones de simulaciones físicas como datos de entrenamiento • Y luego desplegarla con zero shot transfer al robot real Si alguna vez has intentado que un robot real haga algo dinámico (vamos, lo que sueles hacer cada mañana antes de desayunar, claro), sabes lo absurdo que es esto, porque la física se ríe de tu demo. Un mínimo desajuste en fricción, masa, constantes de par, rebote de la rueda, batería cayendo de voltaje → y tu policy perfecta en simulación se come el suelo. En su post lo dicen bastante claro y explican cómo atacan el "sim to real gap": modelos mejores y randomización de parámetros en simulación, y además están usando NVIDIA Isaac Lab para entrenar más rápido. Me mojo: - La robótica por fin está pillando una curva de escalado tipo GenAI. Agárrate que vienen curvas. No porque los robots "hablen". Sino porque los robots pueden aprender control atlético con cantidades absurdas de datos en simulación → y luego sobrevivir al mundo real. Quizás estemos ante el blueprint de la próxima década de robots de movilidad. ¿Meseta de la IA? Ni meseta ni meseto.

@us_connie 1969

Let's play a game. Which one is a Norwegian jail and which one is a 4 star hotel in Soho, NY.

x.com/NewsHour/statu… $SPY #dow $NVDA #Nvidia #stocks $QQQ #daytrading #AI #chatgpt #hedgefunds #hedgefund #privateequity #Dubai #Monaco #Malta #bitcoin #crypto #venturecapital #cnbc #wsj #investing $tsla #openai #es_f #tech

The markets have climbed higher, suggesting the economy is chugging at a steady clip. But for the majority of Americans, this economy is landing very differently right now, and it's hardly good times. to.pbs.org/477LPAG