Offshore
Photo
Evan
Amazon Web Services $AMZN has well over a gigawatt of datacenter capacity in final stages of construction for its anchor customer Anthropic AI
AWS is building datacenters faster than it ever has and there’s much more on the horizon - Semianalysis https://t.co/cTEMvld3Rl
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Amazon Web Services $AMZN has well over a gigawatt of datacenter capacity in final stages of construction for its anchor customer Anthropic AI
AWS is building datacenters faster than it ever has and there’s much more on the horizon - Semianalysis https://t.co/cTEMvld3Rl
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Offshore
Video
AlexandrIA
September doesn’t begin — it interrupts.
Routine has a deadline, the heat can’t fight time, and the keyboard now sounds louder than the waves
Summer doesn’t end. It transforms 🌊
Good Night
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September doesn’t begin — it interrupts.
Routine has a deadline, the heat can’t fight time, and the keyboard now sounds louder than the waves
Summer doesn’t end. It transforms 🌊
Good Night
tweet
Offshore
Video
Iqra Saifi
Veo-3 fast on Gemini 🚗
"A hyper-realistic, dynamic top-down drone shot of a professional drift car executing a perfect, high-speed power slide around a racetrack corner, engulfing itself in a massive cloud of tire smoke.",
"camera": {
"type": "High-Speed FPV Drone 'Top-Down Chase'",
"lens": "24mm Wide-Angle Lens",
"aperture": "f/9.0",
"position": "Starts high above the corner, looking straight down. As the car enters the frame, the camera rapidly descends and tilts, matching the car's speed and rotating around it to keep it centered in the frame.",
"movement": "An aggressive, fast, and fluid drone movement that orbits the car as it pivots, creating a dizzying and exhilarating sense of motion."
},
"environment": {
"location": "A tight, 90-degree corner on a professional racetrack.",
"details": "The asphalt is dark and heavily scarred with black tire marks from previous runs. The corner's apex is marked with a yellow and white striped curb. A gravel runoff area is visible on the outside of the turn.",
"atmosphere": "A clear, bright, midday sky. The air is filled with a massive, dense, and turbulent cloud of white and grey tire smoke, generated by the car. This will be a primary visual element, requiring a complex fluid dynamics simulation."
},
"main_subject": {
"vehicle": "A heavily modified, red professional drift car, similar to a Nissan Silvia or Toyota Supra, with a widebody kit and large rear wing.",
"action": "The car is in the middle of a high-speed drift. The front wheels are turned at an extreme counter-steer angle. The rear wheels are spinning furiously, generating the massive smoke cloud. The car is perfectly balanced on the edge of control.",
"details": "The car's body shows minor signs of racing wear, like small rock chips and rubber streaks. The brake rotors are visibly glowing a dull orange from the intense heat."
},
"lighting": {
"primary_source": {
"type": "Bright, Direct Midday Sun",
"position": "High in the sky.",
"intensity": "Very high, creating sharp, well-defined shadows."
},
"effects": "Strong specular highlights gleam off the car's glossy red paint and windshield. The dense smoke cloud is brilliantly illuminated by the sun, making it appear voluminous and almost solid, and it casts its own soft, moving shadow on the track."
},
"animation": {
"vehicle_animation": "The car slides smoothly and precisely around the corner. The suspension realistically compresses and rebounds as the car's weight shifts. The driver's hands can be seen through the windshield, making rapid, precise movements on the steering wheel.",
"smoke_simulation": "A high-resolution, physically-based fluid simulation for the tire smoke. It should billow, swirl violently in the car's aerodynamic wake, and realistically hug the ground before starting to dissipate.",
"subtle_effects": "A high-resolution particle simulation of small rubber pellets and gravel being kicked up from the track surface by the tires and the turbulent air."
}
"sound": "The roaring, high-RPM scream of a finely-tuned racing engine, punctuated by the sharp 'crack' of the anti-lag system and backfires from the exhaust."
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Veo-3 fast on Gemini 🚗
"A hyper-realistic, dynamic top-down drone shot of a professional drift car executing a perfect, high-speed power slide around a racetrack corner, engulfing itself in a massive cloud of tire smoke.",
"camera": {
"type": "High-Speed FPV Drone 'Top-Down Chase'",
"lens": "24mm Wide-Angle Lens",
"aperture": "f/9.0",
"position": "Starts high above the corner, looking straight down. As the car enters the frame, the camera rapidly descends and tilts, matching the car's speed and rotating around it to keep it centered in the frame.",
"movement": "An aggressive, fast, and fluid drone movement that orbits the car as it pivots, creating a dizzying and exhilarating sense of motion."
},
"environment": {
"location": "A tight, 90-degree corner on a professional racetrack.",
"details": "The asphalt is dark and heavily scarred with black tire marks from previous runs. The corner's apex is marked with a yellow and white striped curb. A gravel runoff area is visible on the outside of the turn.",
"atmosphere": "A clear, bright, midday sky. The air is filled with a massive, dense, and turbulent cloud of white and grey tire smoke, generated by the car. This will be a primary visual element, requiring a complex fluid dynamics simulation."
},
"main_subject": {
"vehicle": "A heavily modified, red professional drift car, similar to a Nissan Silvia or Toyota Supra, with a widebody kit and large rear wing.",
"action": "The car is in the middle of a high-speed drift. The front wheels are turned at an extreme counter-steer angle. The rear wheels are spinning furiously, generating the massive smoke cloud. The car is perfectly balanced on the edge of control.",
"details": "The car's body shows minor signs of racing wear, like small rock chips and rubber streaks. The brake rotors are visibly glowing a dull orange from the intense heat."
},
"lighting": {
"primary_source": {
"type": "Bright, Direct Midday Sun",
"position": "High in the sky.",
"intensity": "Very high, creating sharp, well-defined shadows."
},
"effects": "Strong specular highlights gleam off the car's glossy red paint and windshield. The dense smoke cloud is brilliantly illuminated by the sun, making it appear voluminous and almost solid, and it casts its own soft, moving shadow on the track."
},
"animation": {
"vehicle_animation": "The car slides smoothly and precisely around the corner. The suspension realistically compresses and rebounds as the car's weight shifts. The driver's hands can be seen through the windshield, making rapid, precise movements on the steering wheel.",
"smoke_simulation": "A high-resolution, physically-based fluid simulation for the tire smoke. It should billow, swirl violently in the car's aerodynamic wake, and realistically hug the ground before starting to dissipate.",
"subtle_effects": "A high-resolution particle simulation of small rubber pellets and gravel being kicked up from the track surface by the tires and the turbulent air."
}
"sound": "The roaring, high-RPM scream of a finely-tuned racing engine, punctuated by the sharp 'crack' of the anti-lag system and backfires from the exhaust."
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Offshore
Video
The Startup Ideas Podcast (SIP) 🧃
RT @gregisenberg: this is the story of how ben built wombo ai, got 250M app downloads, and NVIDIA invested in him (the most unbelievable app story 99.9% of people don't know)
summer 2020, he's on a roof in toronto smoking a joint with his roommate. they're watching these weird AI memes go viral - people putting their faces on singing videos using some open source model called "first order motion."
to make these memes, you needed to use a google colab notebook. ben's exact words: "my grandma could never use this sh*t."
meanwhile, an app called reface is sitting at #1 on the app store. hundreds of millions of downloads. doing face swaps into music videos. ben knew exactly how they built it.
so he's high on this roof and has this moment: "why doesn't someone just make an app where anyone can do this?"
his roommate looks at him. "dude, we're going to be billionaires. we'll get this done in a week."
it took them seven months.
march 2021, they launch wombo. 4 screens total: take selfie, pick song, wait, boom - you're lip syncing to baka mitai. so simple a five-year-old could use it.
50 million downloads in the first month.
then reality hit. server bill: $1 million. in one month. investors pulled out. they had to fire everyone and enter what ben calls "cockroach mode" - 18 months of barely surviving.
only 2% of their users ever paid them. the other 98%? they just made content and shared it everywhere, driving more downloads.
at peak, that 2% was generating $500k monthly.
ben's still building. still studying what goes viral. still betting that the biggest opportunities come from taking complex AI and making it stupid simple.
the future belongs to the builders who can spot the disconnect between what's possible and what's accessible.
this episode shows you how.
i'm rooting for you
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RT @gregisenberg: this is the story of how ben built wombo ai, got 250M app downloads, and NVIDIA invested in him (the most unbelievable app story 99.9% of people don't know)
summer 2020, he's on a roof in toronto smoking a joint with his roommate. they're watching these weird AI memes go viral - people putting their faces on singing videos using some open source model called "first order motion."
to make these memes, you needed to use a google colab notebook. ben's exact words: "my grandma could never use this sh*t."
meanwhile, an app called reface is sitting at #1 on the app store. hundreds of millions of downloads. doing face swaps into music videos. ben knew exactly how they built it.
so he's high on this roof and has this moment: "why doesn't someone just make an app where anyone can do this?"
his roommate looks at him. "dude, we're going to be billionaires. we'll get this done in a week."
it took them seven months.
march 2021, they launch wombo. 4 screens total: take selfie, pick song, wait, boom - you're lip syncing to baka mitai. so simple a five-year-old could use it.
50 million downloads in the first month.
then reality hit. server bill: $1 million. in one month. investors pulled out. they had to fire everyone and enter what ben calls "cockroach mode" - 18 months of barely surviving.
only 2% of their users ever paid them. the other 98%? they just made content and shared it everywhere, driving more downloads.
at peak, that 2% was generating $500k monthly.
ben's still building. still studying what goes viral. still betting that the biggest opportunities come from taking complex AI and making it stupid simple.
the future belongs to the builders who can spot the disconnect between what's possible and what's accessible.
this episode shows you how.
i'm rooting for you
tweet
Offshore
Photo
Aadit Sheth
This is literally everything you need to go from beginner to pro in AI https://t.co/MK1UJDKkA9
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This is literally everything you need to go from beginner to pro in AI https://t.co/MK1UJDKkA9
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Offshore
Photo
Evan
If you had invested $10,000 into American Eagle $AEO stock when its campaign with Sydney Sweeney first started on July 23rd and held to today you’d currently have
~$15,702 https://t.co/CKUxlGZY2a
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If you had invested $10,000 into American Eagle $AEO stock when its campaign with Sydney Sweeney first started on July 23rd and held to today you’d currently have
~$15,702 https://t.co/CKUxlGZY2a
American Eagle is up 25% in after hours following its earnings
American Eagle $AEO just said its partnership with Sydney Sweeney has been its “best” advertising campaign to date - CNBC https://t.co/oclXyXU9Pj tweet
Offshore
Video
Iqra Saifi
Veo-3 fast on @haimeta_ai
A dynamic, sweeping drone shot begins high above, slowly descending and rotating to reveal a solitary hiker, seen from a slightly elevated, over-the-shoulder perspective, standing at the edge of a rugged cliff face. The camera smoothly tracks forward, then pans subtly to the right, following the hiker's gaze as he looks down into a vast, verdant valley. A winding, turquoise-blue river snakes through the lush, green landscape below, its surface glinting with the warm, golden light of a setting sun that casts long, dramatic shadows across the rolling hills and steep rock formations. Every blade of grass, every individual leaf on the distant trees, and the intricate textures of the weathered rock face are rendered with astounding, hyper-realistic detail. The camera continues its gentle arc, showcasing the sheer scale of the environment. The air is crisp and clear, and a faint, almost imperceptible haze hangs in the deepest parts of the valley, adding to the sense of depth. The color palette is rich and vibrant, with deep greens, earthy browns, and the striking blue of the river.
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Veo-3 fast on @haimeta_ai
A dynamic, sweeping drone shot begins high above, slowly descending and rotating to reveal a solitary hiker, seen from a slightly elevated, over-the-shoulder perspective, standing at the edge of a rugged cliff face. The camera smoothly tracks forward, then pans subtly to the right, following the hiker's gaze as he looks down into a vast, verdant valley. A winding, turquoise-blue river snakes through the lush, green landscape below, its surface glinting with the warm, golden light of a setting sun that casts long, dramatic shadows across the rolling hills and steep rock formations. Every blade of grass, every individual leaf on the distant trees, and the intricate textures of the weathered rock face are rendered with astounding, hyper-realistic detail. The camera continues its gentle arc, showcasing the sheer scale of the environment. The air is crisp and clear, and a faint, almost imperceptible haze hangs in the deepest parts of the valley, adding to the sense of depth. The color palette is rich and vibrant, with deep greens, earthy browns, and the striking blue of the river.
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