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🇨🇳 CHINA DEBUTS FIRST FULLY AI-MADE ANIMATED FEATURE - HOLLYWOOD JUST GOT A CLOCK China has premiered what it’s calling the world’s first fully AI-generated animated feature film - no human animators, no traditional pipeline, no army of artists grinding frames at 3 a.m. Scripts, storyboards, character design, animation,...

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Mario Nawfal

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21,200 Aufrufe • vor 6 Monaten •via X (Twitter)

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The first fully AI-generated movie just went viral in Cannes. The film is called Hell Grind. According to reports, it was made using Higgsfield AI in around 14 days, cost about $500,000 and roughly $400,000 of that went to compute. For context, a traditional Hollywood feature can take 1-3 years and cost tens of millions to produce. This one was created by a team of about 15 directors, cinematographers, and editors using AI tools like Higgsfield’s Soul Cinema, Seedance 2.0 and other video models. The craziest part? For just the first 25 minutes, CineD reported they generated 16,181 clips to get 253 final shots. That’s roughly 64 attempts for every shot. Some prompts were reportedly around 3,000 words each, just to get 15 seconds of usable footage. So yes, AI is getting faster. But the real takeaway is not “humans are useless now” It’s actually the opposite The people who understand storytelling, directing, editing, taste and tools are about to get insane leverage.

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Nina Schick

2,584,252 Aufrufe • vor 7 Monaten

I’ve tested a lot of AI tools this year. But nothing made me stop like this. For years, AI avatars could only talk. They looked robotic. Felt static. Always trapped inside one frame. Then Synthesia 🎥 dropped something different. Avatars that can act. Walk across a scene. Gesture with meaning. Gesture, pause, connect like you’re truly in the moment. It’s not just AI video anymore. It’s cinematic storytelling powered by text. The first time I saw it, I had to replay it twice. Because for a moment, I forgot it was AI. This isn’t an upgrade. It’s a breakthrough. We’re entering a new era where creators can turn imagination into motion. A full 3D scene. A complete performance. All from a simple prompt. Think about what that means. No studio setup. No crew. No editing. Just an idea and a few words. Training videos that feel human. Brand stories that look alive. Content that moves with intention. Synthesia solved what most people thought was impossible. Hands that move naturally. Gestures that match emotion. Scenes that look alive, not artificial. And it’s not about replacing creators. It’s about giving them a new stage. A way to build visuals that used to take cameras, lights, and budgets. Now, it takes creativity and a prompt. This feels like the moment AI video becomes a creative playground. And Synthesia just handed us the keys.
0:34

I’ve tested a lot of AI tools this year. But nothing made me stop like this. For years, AI avatars could only talk. They looked robotic. Felt static. Always trapped inside one frame. Then Synthesia 🎥 dropped something different. Avatars that can act. Walk across a scene. Gesture with meaning. Gesture, pause, connect like you’re truly in the moment. It’s not just AI video anymore. It’s cinematic storytelling powered by text. The first time I saw it, I had to replay it twice. Because for a moment, I forgot it was AI. This isn’t an upgrade. It’s a breakthrough. We’re entering a new era where creators can turn imagination into motion. A full 3D scene. A complete performance. All from a simple prompt. Think about what that means. No studio setup. No crew. No editing. Just an idea and a few words. Training videos that feel human. Brand stories that look alive. Content that moves with intention. Synthesia solved what most people thought was impossible. Hands that move naturally. Gestures that match emotion. Scenes that look alive, not artificial. And it’s not about replacing creators. It’s about giving them a new stage. A way to build visuals that used to take cameras, lights, and budgets. Now, it takes creativity and a prompt. This feels like the moment AI video becomes a creative playground. And Synthesia just handed us the keys.

Darshal Jaitwar

56,865 Aufrufe • vor 8 Monaten

Meta’s Chief AI Officer Alexandr Wang just put a five-year countdown on the most consequential race in human history. Wang: “Mark and myself, we very strongly believe that this is a very special time in human history.” Not a decade. Not a generation. Five years. Wang: “The discoveries made over the next half-decade are going to be some of the most monumental discoveries that human civilization has ever made.” To run that race, Meta didn’t just build a new model. They built an entirely new division from scratch. Meta Superintelligence Labs. Designed from a blank slate. Singular focus. Wang: “What does the optimal team look like for the future of superintelligence?” The bottleneck to superintelligence isn’t compute anymore. It isn’t data. It’s the density of human genius in a single room. Wang: “Highest talent density. Bring the very best people together and build the best possible environment for them.” The AI arms race has shifted from hoarding GPUs to hoarding the smartest minds on earth. The first company to perfect that organizational structure will be the first company to reach superintelligence. But reaching it is only half the battle. Deploying what you built to the world is the other half. And here is where Meta’s advantage becomes almost unfair. Wang: “Three and a half billion people utilize our platforms every single day.” While every other AI lab is still trying to figure out how to get users to adopt their technology, Meta already has nearly half the planet locked into their ecosystem. MSL wasn’t built just to achieve scientific breakthroughs. Wang: “Build the products that will enable this technology to be deployed to billions and billions of people worldwide.” Whoever builds superintelligence first wins the race. Whoever distributes it to 3.5 billion people controls what comes after. Meta is positioning to do both.
1:31

Meta’s Chief AI Officer Alexandr Wang just put a five-year countdown on the most consequential race in human history. Wang: “Mark and myself, we very strongly believe that this is a very special time in human history.” Not a decade. Not a generation. Five years. Wang: “The discoveries made over the next half-decade are going to be some of the most monumental discoveries that human civilization has ever made.” To run that race, Meta didn’t just build a new model. They built an entirely new division from scratch. Meta Superintelligence Labs. Designed from a blank slate. Singular focus. Wang: “What does the optimal team look like for the future of superintelligence?” The bottleneck to superintelligence isn’t compute anymore. It isn’t data. It’s the density of human genius in a single room. Wang: “Highest talent density. Bring the very best people together and build the best possible environment for them.” The AI arms race has shifted from hoarding GPUs to hoarding the smartest minds on earth. The first company to perfect that organizational structure will be the first company to reach superintelligence. But reaching it is only half the battle. Deploying what you built to the world is the other half. And here is where Meta’s advantage becomes almost unfair. Wang: “Three and a half billion people utilize our platforms every single day.” While every other AI lab is still trying to figure out how to get users to adopt their technology, Meta already has nearly half the planet locked into their ecosystem. MSL wasn’t built just to achieve scientific breakthroughs. Wang: “Build the products that will enable this technology to be deployed to billions and billions of people worldwide.” Whoever builds superintelligence first wins the race. Whoever distributes it to 3.5 billion people controls what comes after. Meta is positioning to do both.

Dustin

32,982 Aufrufe • vor 4 Monaten

Jonathan Ross just revealed why AI companies aren’t growing faster. Not demand. Not competition. Physics. Ross: “The demand for compute is insatiable.” There isn’t enough compute in the world. Not a temporary shortage. A fundamental gap between what the market wants and what the infrastructure can deliver. Ross: “Right now, one of the biggest complaints of Anthropic is the rate limits. People can’t get enough tokens.” Rate limits aren’t product decisions. They’re rationing. Companies forced to regulate access because infrastructure cannot meet demand. Slower services. Token caps. The only things standing between these companies and a revenue surge they can’t access. Every token cap is a revenue cap. Every slowdown is a sale that didn’t happen. Ross: “If Anthropic was given twice the inference compute, within one month their revenue would almost double.” Read that again. Double the compute. Double the revenue. Within thirty days. That’s not a growth projection. That’s a measurement of how deep the backlog already is. The demand exists right now. It’s sitting in a queue. The only thing between these companies and that revenue is physical hardware they don’t have. This breaks every assumption about how tech companies scale. Usually you scale by finding customers. AI companies have infinite customers. They scale by finding hardware. The constraint isn’t market fit. It isn’t distribution. It isn’t competition. It’s processing power. This is why Jensen Huang is the most important person in the world right now. NVIDIA doesn’t just make chips. It makes the thing every government, every AI lab, and every company racing for this future needs more of and can’t get enough of. The compute bottleneck isn’t a tech industry problem. It’s a civilizational one. The winner of this era isn’t determined by who builds the smartest model. Every major lab has a frontier model. The winner is whoever secures the most compute fastest while everyone else rations what’s left. The race isn’t for intelligence. It’s for infrastructure. And right now there isn’t enough to go around.
0:53

Jonathan Ross just revealed why AI companies aren’t growing faster. Not demand. Not competition. Physics. Ross: “The demand for compute is insatiable.” There isn’t enough compute in the world. Not a temporary shortage. A fundamental gap between what the market wants and what the infrastructure can deliver. Ross: “Right now, one of the biggest complaints of Anthropic is the rate limits. People can’t get enough tokens.” Rate limits aren’t product decisions. They’re rationing. Companies forced to regulate access because infrastructure cannot meet demand. Slower services. Token caps. The only things standing between these companies and a revenue surge they can’t access. Every token cap is a revenue cap. Every slowdown is a sale that didn’t happen. Ross: “If Anthropic was given twice the inference compute, within one month their revenue would almost double.” Read that again. Double the compute. Double the revenue. Within thirty days. That’s not a growth projection. That’s a measurement of how deep the backlog already is. The demand exists right now. It’s sitting in a queue. The only thing between these companies and that revenue is physical hardware they don’t have. This breaks every assumption about how tech companies scale. Usually you scale by finding customers. AI companies have infinite customers. They scale by finding hardware. The constraint isn’t market fit. It isn’t distribution. It isn’t competition. It’s processing power. This is why Jensen Huang is the most important person in the world right now. NVIDIA doesn’t just make chips. It makes the thing every government, every AI lab, and every company racing for this future needs more of and can’t get enough of. The compute bottleneck isn’t a tech industry problem. It’s a civilizational one. The winner of this era isn’t determined by who builds the smartest model. Every major lab has a frontier model. The winner is whoever secures the most compute fastest while everyone else rations what’s left. The race isn’t for intelligence. It’s for infrastructure. And right now there isn’t enough to go around.

Dustin

28,395 Aufrufe • vor 4 Monaten

In China, wokism is banned. No endless culture wars, no performative activism. Instead: discipline, planning, and a national project that looks to 2035, not just the next election cycle. 🌍 China 2035: The End of Capitalism As We Know It isn’t just another book. It’s a wake-up call. While much of the developing world gets trapped in poverty, corruption, and dependency, and Western elites drown in wokism and empty virtue signaling… China is building: ✅ 40,000 km of high-speed rail ✅ Smart cities powered by AI ✅ A middle class larger than the entire U.S. population ✅ Industrial capacity that redefines global supply chains This is the sharpest contrast of our time: •Third World nations: trapped in corruption and stagnation. •Woke West: obsessed with symbols over substance. •China: focused on results, growth, and the long game. 👉 That’s why China 2035: The End of Capitalism As We Know It matters. It reveals how China is rewriting the rules of global power. 📖 Available now: Apple Books | Amazon | Indigo
2:30

In China, wokism is banned. No endless culture wars, no performative activism. Instead: discipline, planning, and a national project that looks to 2035, not just the next election cycle. 🌍 China 2035: The End of Capitalism As We Know It isn’t just another book. It’s a wake-up call. While much of the developing world gets trapped in poverty, corruption, and dependency, and Western elites drown in wokism and empty virtue signaling… China is building: ✅ 40,000 km of high-speed rail ✅ Smart cities powered by AI ✅ A middle class larger than the entire U.S. population ✅ Industrial capacity that redefines global supply chains This is the sharpest contrast of our time: •Third World nations: trapped in corruption and stagnation. •Woke West: obsessed with symbols over substance. •China: focused on results, growth, and the long game. 👉 That’s why China 2035: The End of Capitalism As We Know It matters. It reveals how China is rewriting the rules of global power. 📖 Available now: Apple Books | Amazon | Indigo

Simón Levy

319,162 Aufrufe • vor 10 Monaten

Today I assembled the first batch of reBot DevArm in the U.S! First one on the planet! 🇺🇸⚙️ But this isn’t about a robot arm. This is about what happens when open source hits robotics. For years: •Hardware was locked •Robotics was expensive •Embodied AI was out of reach Now? Anyone can get their hands on: •6 DOF manipulation •Real precision (<0.2 mm repeatability) •Full stack access (ROS, Isaac Sim, LeRobot) This is how movements start. Not in labs. Not behind paywalls. But in the hands of builders. Massive respect to Seeed Studio for pushing true open-source robotics forward! We’re about to see: → Thousands of robot arms trained like athletes → Real-world datasets explode → Physical AI built in garages, not just research labs At SoloTech , this is the unlock we’ve been waiting for, training and deploying Physical AI skill models on real hardware, anywhere. No sims. No vaporware. No excuses. Production Grade Physical AI. Want to get access? Check out the Physical AI Gym in San Francisco or DM me.
0:20

Today I assembled the first batch of reBot DevArm in the U.S! First one on the planet! 🇺🇸⚙️ But this isn’t about a robot arm. This is about what happens when open source hits robotics. For years: •Hardware was locked •Robotics was expensive •Embodied AI was out of reach Now? Anyone can get their hands on: •6 DOF manipulation •Real precision (<0.2 mm repeatability) •Full stack access (ROS, Isaac Sim, LeRobot) This is how movements start. Not in labs. Not behind paywalls. But in the hands of builders. Massive respect to Seeed Studio for pushing true open-source robotics forward! We’re about to see: → Thousands of robot arms trained like athletes → Real-world datasets explode → Physical AI built in garages, not just research labs At SoloTech , this is the unlock we’ve been waiting for, training and deploying Physical AI skill models on real hardware, anywhere. No sims. No vaporware. No excuses. Production Grade Physical AI. Want to get access? Check out the Physical AI Gym in San Francisco or DM me.

Dhruv Diddi

31,214 Aufrufe • vor 3 Monaten

VoiceBox just did what everyone thought was impossible. It might have killed ElevenLabs overnight. No subscription. No cloud. No credits. Runs locally on your machine. Clones a voice from 3 seconds of audio. Powered by Qwen 3 TTS. Apache 2.0 license. Commercial use allowed. And your voice data never leaves your computer. For years, if you wanted high quality voice cloning, ElevenLabs was the default. Now there’s a free open-source alternative that sounds shockingly close. Plus it has a built-in multi-track editor, recording, transcription with Whisper, and a local API. This isn’t just another TTS tool. It’s a full voice production studio on your desktop. Open source AI is catching up fast. And this changes the game for creators and businesses. Would you trust the cloud with your voice… or keep it local? 👇
8:20

VoiceBox just did what everyone thought was impossible. It might have killed ElevenLabs overnight. No subscription. No cloud. No credits. Runs locally on your machine. Clones a voice from 3 seconds of audio. Powered by Qwen 3 TTS. Apache 2.0 license. Commercial use allowed. And your voice data never leaves your computer. For years, if you wanted high quality voice cloning, ElevenLabs was the default. Now there’s a free open-source alternative that sounds shockingly close. Plus it has a built-in multi-track editor, recording, transcription with Whisper, and a local API. This isn’t just another TTS tool. It’s a full voice production studio on your desktop. Open source AI is catching up fast. And this changes the game for creators and businesses. Would you trust the cloud with your voice… or keep it local? 👇

Julian Goldie SEO

59,167 Aufrufe • vor 4 Monaten

David Sacks: America needs “a single national standard” in AI to beat China and avoid Woke AI Sacks on E245: “There's a regulatory frenzy happening at the states right now.” “Everyone just seems to be motivated by the imperative to ‘do something’ on AI, even though no one's really sure what that something should be.” “So you've got 50 different states each with their own reporting regime, which is going to be a trap for startups. They've all gotta figure this out about what they're supposed to report on, what the deadlines are, who to report to.” “A single federal standard is the best way to make sure that we do not have Woke AI, that we do not have insanely burdensome regulations that allow China to basically get ahead of us in this AI race, and it's to ensure that we actually have truthful, unbiased AI instead of highly ideological AI.” – According to Polymarket, chances of a National AI Bill in 2025 are VERY LOW, despite a regulation frenzy at the state level. – At the time of taping, there was a ~20% chance. Today it’s significantly lower at 5%. “Here's the good news, it doesn't really matter what I think. The important thing is what President Trump thinks.” “And in his July 23rd speech on AI, he was really clear that there needs to be a single national standard for AI.” “I think the administration ultimately will support this, and I think more Republicans will come on board as they realize what the blue states are doing here is not helpful for conservatives. It's not helpful for having an unbiased information environment.”
1:18

David Sacks: America needs “a single national standard” in AI to beat China and avoid Woke AI Sacks on E245: “There's a regulatory frenzy happening at the states right now.” “Everyone just seems to be motivated by the imperative to ‘do something’ on AI, even though no one's really sure what that something should be.” “So you've got 50 different states each with their own reporting regime, which is going to be a trap for startups. They've all gotta figure this out about what they're supposed to report on, what the deadlines are, who to report to.” “A single federal standard is the best way to make sure that we do not have Woke AI, that we do not have insanely burdensome regulations that allow China to basically get ahead of us in this AI race, and it's to ensure that we actually have truthful, unbiased AI instead of highly ideological AI.” – According to Polymarket, chances of a National AI Bill in 2025 are VERY LOW, despite a regulation frenzy at the state level. – At the time of taping, there was a ~20% chance. Today it’s significantly lower at 5%. “Here's the good news, it doesn't really matter what I think. The important thing is what President Trump thinks.” “And in his July 23rd speech on AI, he was really clear that there needs to be a single national standard for AI.” “I think the administration ultimately will support this, and I think more Republicans will come on board as they realize what the blue states are doing here is not helpful for conservatives. It's not helpful for having an unbiased information environment.”

The All-In Podcast

103,113 Aufrufe • vor 9 Monaten