JohnTravolta

#%#

[JohnTravolta @juhj1e]

@GrantCardone 159? Where?

[Karina Michelin @karinamichelin]

📌Quatro gigantes da tecnologia americana, quatro bilionários americanos e uma coincidência que virou meme nas redes sociais.

Brian Armstrong (Coinbase), Larry Ellison (Oracle), Mark Zuckerberg (Meta) e Jensen Huang (Nvidia) têm relacionamentos com mulheres de origem chinesa ou ascendência asiática.

Da Coinbase à Nvidia, passando pela Oracle e pela Meta, os homens que comandam algumas das empresas mais estratégicas do planeta ganharam um slogan:

“No Vale do Silício, o código pode ser open source, mas o coração… às vezes é closed source com conexão chinesa. “

[Luna Hayes @lunaonexbt]

This is f*cking insane

Everyone is talking about Jensen Huang's affair this week. Almost nobody is talking about what he told CBS about the next $15 trillion

Nvidia CEO:

"Energy comes in, intelligence comes out. Input, output. It's as simple as that"

In 5 minutes, he explains the whole AI economy from first principles:

0:00 - 350 years ago: electricity let us power anything
0:46 - The internet era: data centers let us find anything
1:09 - AI: software that reasons and uses your tools to do anything
1:48 - One photo of a backyard → CAD files for the builders
2:35 - The AI factory: what a data center actually makes
3:44 - The math: a $100T economy, $15T of it needs more intelligence
4:49 - Why electricians and builders are the quiet winners

When AI stocks run, most people blame hype

Jensen is teaching the stack underneath:
energy → AI factory → tokens → intelligence → every industry

Old way: data centers store information
New way: AI factories manufacture intelligence

Better than any $2,000 AI course I've seen

Who wins bigger from this, chip makers or electricians?

[lynk @lynk0x]

"A woman’s loyalty is tested when her man has nothing.

A man’s loyalty is tested when he has everything."

[PolymarketHistory @PolymarketStory]

Jensen Huang’s wife after seeing this market

[Nic @Nicjiang7]

我就知道这个视频一定会来 @JensenHuang 😂
#Nvidia

[Sam Szuchan @szuchans]

One night in June of 2024, in a Taipei bar, a Chinese businesswoman named Alice Huang made a bet with some technology executives that she could get Jensen Huang, the C.E.O. of Nvidia, to come meet them. After midnight, he showed up, wearing his black leather jacket, and joined the group for some whiskey drinks. (One of the executives who was there told the story to The New York Times.)

Alice Huang, who is not related to the Nvidia C.E.O., was a top executive at a Singapore-based company called Megaspeed. In the three months after the meeting Megaspeed bought a billion dollars' worth of Nvidia technology. In the next nine months, it bought another billion dollars' worth.

On paper, this was all legal. Megaspeed built data centers in Malaysia and then rented the computing power to Chinese companies, mostly Alibaba. The U.S. bans selling its most advanced A.I. chips to China, but it's O.K. to rent the computing power to Chinese companies in a neighboring country.

But in late 2024, a U.S. Commerce Department official visited Megaspeed's Malaysian data center and found Nvidia chips still in their boxes. Investigators began to suspect that some of the chips were being moved on into China.

And then, as the Times revealed this past October, things got worse. US intelligence had concluded that Alice Huang was a Chinese intelligence asset, reporting to China, and that she developed a close personal relationship with Jensen Huang.

President Trump was briefed about a year ago and decided not to do anything. The Times reported that he didn't want to risk Nvidia chip sales, which are helping drive the stock market. Jensen Huang was never told about the intelligence finding.

Nvidia says that it's the C.E.O.'s job to meet with customers, that Megaspeed got no secrets, and that the company found nothing wrong in its investigation into the smuggling allegations. Jensen Huang has said that Nvidia can account for all of Megaspeed's chips.

Ultimately, stopping the chips from going to China came down to two judgments. One was Nvidia's word about its customer. The other was a president weighing an intelligence finding against trade with China and an economy that Nvidia sales are helping boost. In a case like this, American export controls are only as good as those two decisions.

[Darcie @Darcie1387]

How Bamboo Branches Become a Traditional Nipa Hut

[Yourfavtallboyy @fermsyishere]

Elon Musk tells Joe Rogan AI is a "supersonic tsunami" for jobs, and that work will become optional.

Joe Rogan: What's the solution to the jobs lost to AI and robotics? Universal basic income? A lot of people are going to be out of work.

Elon Musk: I think there will be high demand for jobs, just not the same jobs. This has happened throughout modern history. There used to be buildings full of people called computers, doing calculations by hand with pencil and paper. When digital computers arrived, that job disappeared and people had to do something else. That's happening now at an accelerated rate with AI and robotics. AI is the supersonic tsunami.

Joe: What jobs are left?

Elon: Anything physical, like welding, electrical work, plumbing, cooking, farming, will last much longer. Anything digital, where someone is just at a computer, AI will take those jobs like lightning, just like digital computers took the job of doing calculations by hand, but much faster.

Joe: Drivers, longshoremen, truckers. And so many desk jobs where people are just processing email or answering the phone.

Elon: Those are being eliminated at a very rapid pace. Ultimately, working will be optional, because you'll have robots plus AI. In a benign scenario, we get universal high income, not just basic income. Anyone can have any products or services they want. But there will be a lot of trauma and disruption along the way.

Joe: So we'd essentially eliminate poverty?

Elon: In the benign scenario, yes. There are multiple scenarios, and a lot of ways this movie can end. The Terminator scenario is not 0%, which is why I keep pushing for AI to be maximally truth-seeking.

Joe: What about meaning? It gets weird if no one ever has to work.

Elon: I don't know how to answer the question about meaning. It will be an individual problem for millions of people. But the benign scenario is sustainable abundance. We haven't paved the rainforest, the national parks are still there, and everyone has excellent medical care and whatever goods and services they want. We'd have to rewire how people approach life, and hopefully people can find meaning that isn't derived from work.

The job losses are already happening. The universal high income is only the benign scenario.

[wiiiL @jimtothemy]

BETTER THAN SEX

[JohnTravolta @juhj1e]

@BullTheoryio Nvidia confirmed an investigation, not espionage.
Huang admitted an affair and remains CEO, with no evidence of leaked company secrets so far.

[Luna💫 @theluna01]

GTA Vice City 🤩

[kento iv @0xKento_]

Así se ven 50 agentes trabajando.

Acaban de armar un sistema completo en 30 minutos.

Una sola persona lo está manejando.

Solo dio las órdenes.

[Boris @whothefukboris]

claude code is making 3D cartoon story shorts now

i made this video in 14 minutes with 0 cost

idk shit about blender or 3D animation

im giving the prompt away for free
steal it 👇

<inputs>
Ask me for: my story in one line (someone does something strange, plus the real reason behind it, which is the twist) and the length (45-60 s). If I have no idea, pitch me 3 stories with their twists and let me pick. Every story is mine, never a copy of an existing video.
</inputs>

<direction>
A 1080x1920 30 fps Short that looks like a premium 3D cartoon, built entirely in code with three.js and rendered frame by frame in headless Chrome. No AI images or video, no stock 3D models.
- Characters: big-headed toon people. A sphere head sits straight on a rounded bean torso (no neck), mitten hands, simple legs, clothes as flat painted panels (collars, pockets, ties), white matte skin.
- Faces are drawn live on the head every frame from about 100 numbers (eye openness and lid shape, pupils, brow height, angle and curve, mouth width, opening, smile and corners, teeth, tongue, blush) in ink #2A1D17, never swapped pictures. Make at least 20 named expressions (neutral, bored, smug, skeptical, shocked, scared, starstruck with star eyes, sad, angry, whistle...) as presets that morph: brows lead, the mouth trails, 2 frames of anticipation, 10% overshoot, settle. Shock squeezes for 2 frames, then pops.
- Talking: whoever speaks a quoted line moves their mouth from the voice loudness inside each word's timestamps, with the shape from the letters (wide A, round O and U, lips shut on M, B and P, teeth together on S, F and T). Silent characters keep still mouths.
- World: the whole film is ONE connected map built once. Every location sits at its own spot (doors lead to rooms, the street is outside the front door), densely dressed: 15+ props in every wide, three depth layers, signs and screens with real text on them. Every shot is a camera placed somewhere in that world, so shots match and people stay where they were. Hero props are 1.5-2.5x real size with 3+ parts you can name.
- Light: a warm key, a cool fill, a warm rim on every silhouette, contact shadows and ambient occlusion so nothing floats. Saturated colour, never washed out. Bloom 0.3, vignette 0.28, light grain, slight sharpen.
- Numbers are objects: every number the narrator says appears on a real thing (a screen, a counter, a sign, a cheque) and rolls up on its word.
- Captions: two words at a time, Montserrat ExtraBold about 100 px, white with a thick black outline, centred at 70% of the height, stepping clear of faces.
- A fast, casual adult narrator in third person, deadpan, with the dialogue lines acted on screen.
Banned: AI video, stock models, floating labels, arrows, stickers or HUDs (text only on real objects), motion blur, depth of field, any shot that holds still, things that pop in or vanish (everything is carried, thrown or slides in), hands through objects, and the narrator saying sound words.
</direction>

<structure>
Length: 45-60 s at about 230 wpm. About 2.6 edits per 10 s (2.1-3.9), a median shot of about 2.5 s, and never two edits under 0.4 s apart: the camera carries two beats in one shot instead of cutting.
0 s: the strangest act in one line, already happening in frame 0 → the setup in 2-3 lines with the stakes on screen → escalation, every line bigger than the last, dialogue acted by the character who says it → "You see,": the real explanation as its own staged scene (a cutaway, a dream, a model of the thing) → the twist, the real reason, shown not said → the payoff picture lands on the last word and holds 1 s.
Joins: 77% are 6-frame dissolves with both cameras still moving; about 1 in 9 is a zoom-through (push into a door, a screen or an eye and land in the next shot); hard cuts under 5%; one whip per film at most.
Camera: it moves in 86% of frames. A push-in is the default (about x1.28 over 1.35 s, its fastest frame on a word). Pull-out reveals start fast and land soft, then pans and trucks; cranes and orbits are rare. A slow creep between beats, still moving into every edit, never parked.
</structure>

<build>
1. Tools. Everything is free and local except the voice. Install what's missing and tell me what you installed:
- Node 20, three.js (pin the version), puppeteer with headless Chrome and the GPU on
- Python with numpy, plus FFmpeg
- faster-whisper with large-v3-turbo, int8 on the CPU
- an ElevenLabs API key (ask me for it, and never print it)
- the Montserrat font
- free sounds from Pixabay or Mixkit: whooshes, pops, impacts, door, bell, footsteps, crowd murmur, one room tone per place
2. Voice: write about 24 short lines per 55 s and show me the script before you record. Ask before spending credits. Make one ElevenLabs take with eleven_multilingual_v2 and a premade casual male voice, all lines in one request. Tighten silences over 0.25 s down to 0.12 s. Never change the narrator's pitch.
3. Timing: run faster-whisper with word timestamps on the final voice and match it to the script with difflib. Key every cut, face change, gesture and SFX to a word index, never to a fixed second.
4. Engine: one page that draws any time t (frames are pure functions of time: no https://t.co/ntHW8SsAY3, seeded random only). Each shot is build(S) with its clause; it reuses the cached world and only places the camera and the actors. Render every shot to an offscreen target; a dissolve mixes two targets. Draw captions on a 2D canvas on top.
5. Animation: every action has 2-6 frames of anticipation, the action on its word, 5-15% overshoot and a settle. Holds stay still but alive (blinks every 1.5-4 s, small eye darts). Verbs: walk along paths through doors, reach, take, hold, throw with a wind-up and a ballistic arc, catch, put into with the container opening and closing, dig, show (hold it up to the lens), shrug, point, slam, double take. A prop only moves when a hand moves it.
6. Shots: eye-level 3/4 by default, low for power, high for small or caught, top-down inserts for hands on props, over the shoulder, profile two-shots, one dutch at most. The same subject twice in a row gets a new angle or size. The key object fills 0.45-0.7 of the frame width, and faces sit above the caption band. Before the full render, make one 50% still per shot and look at every one.
7. Edit and sound: voice median at -15 dB; an SFX on every visible action (a whoosh on camera moves, an impact on contact); room tone per place at -30 dB; an optional music bed at -24 dB ducking under words. Mix to -14 LUFS. Encode H.264 (CRF 17, yuv420p) with AAC at 256k.
</build>

<gotchas>
Set renderer.outputColorSpace and every colour texture's colorSpace to SRGBColorSpace, or everything renders washed out. Use preserveDrawingBuffer and wait for fonts and textures before the first capture, or the first frames come out blank. Build the world once and reuse geometry and materials; rebuilding every frame makes the render crawl. Dissolves ghost big faces, so frame one side of every dissolve medium or wider. Arms go through heads and bodies unless you push hand targets out of the torso and head. Whisper merges short words, so find real silences in the audio and give each word gap the longest silence near it. Render stills first, then re-render only the shots that changed.
</gotchas>

<start>
Ask me for my story first (or pitch me 3), then show me the script before you spend any voice credits.
</start>

[Happy Punch @HappyPunch]

Raul Rosas Jr just made Colby Covington tap out in 40 seconds 🤯

[GamerLetter 🐰 @GamerLetter123]

How everyone in the US is moving after tonight:

[berni @bernirov]

TUTORIAL DE CÓMO MONTAR UNA TIENDA ONLINE CON CLAUDE Y SHOPIFY

este tipo te enseña paso a paso cómo montar una tienda que gana $12,000 al mes, y lo explica en 13 minutos.

guárdalo antes de perderlo 🔖

[Dear Self. @Dearme2_]

Be grateful.