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Here is iPhone 17e - Set to launch next week - Dynamic Island - Binned A19 Chip -C1X Modem - $599 - iPhone 15 aluminum frame design - White and Black color options, purple wildcard - Single 48MP Fusion Camera

Asher

6,667 subscribers

265,822 Aufrufe • vor 5 Monaten •via X (Twitter)

Wissenschaft & Technologie

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Here it is, the new iPhone 16e! - $599 for 128g - Face ID - USBC - Action button - iOS 18 w Apple Intelligence - New Apple C1 Modem - Black and white color options - 2 in 1 48mp camera with 2x telephoto

iJustine

518,761 Aufrufe • vor 1 Jahr

Why is the Dynamic Island dynamic and not the device’s bezels? 🤔 Introducing Dynamic Stage, my own take on Split View / Stage Manager for the iPhone! Available next week for you to try out on jailbroken iPhones! #concept #iphone

Why is the Dynamic Island dynamic and not the device’s bezels? 🤔 Introducing Dynamic Stage, my own take on Split View / Stage Manager for the iPhone! Available next week for you to try out on jailbroken iPhones! #concept #iphone

Tom T.

364,582 Aufrufe • vor 3 Jahren

Apple CEO Tim Cook just announced earth-shattering news to the world in the Oval Office. Not only are they adding a $100 billion investment in American manufacturing, bringing their total commitment to $600 billion over the next four years, but they are also already making big moves to bring manufacturing back to America ASAP. "For the first time ever every single new iPhone and every single new Apple Watch sold anywhere in the world will contain cover glass made in Kentucky." "I'm proud to say that Apple is leading the creation of an end-to-end silicon supply chain right here in America, from design to equipment to wafer production to fabrication to packaging." This is unprecedented. American Made is BACK!!!

Apple CEO Tim Cook just announced earth-shattering news to the world in the Oval Office. Not only are they adding a $100 billion investment in American manufacturing, bringing their total commitment to $600 billion over the next four years, but they are also already making big moves to bring manufacturing back to America ASAP. "For the first time ever every single new iPhone and every single new Apple Watch sold anywhere in the world will contain cover glass made in Kentucky." "I'm proud to say that Apple is leading the creation of an end-to-end silicon supply chain right here in America, from design to equipment to wafer production to fabrication to packaging." This is unprecedented. American Made is BACK!!!

George

138,415 Aufrufe • vor 1 Jahr

seedance prompt: Realistic Video Narration (15-Second Full Version - Pure First-Person POV): Presented in the style of unprocessed, handheld, unstable iPhone video footage. All camera settings are automatic, with no post-processing color grading or special effects. The footage captures the realistic breathing of the operator and slight, irregular hand shake. Autofocus frequently exhibits intense searching, brief out-of-focus periods, and delayed recovery. Auto white balance naturally shifts between warm and cool tones as it blends with the library lights and natural light from distant windows. The overall image is flat and slightly washed out, retaining realistic lens flare, edge purple-green iridescence, and slight overexposure or underexposure. Faint fingerprint artifacts occasionally appear at the bottom of the frame. Only natural ambient sound effects are used (the sound of turning pages, very light footsteps in the distance, the low hum of an air conditioner, suppressed breathing, and the subtle rustling of stockings against a cheongsam). All sounds are extremely suppressed, with slight microphone distortion at louder frequencies. The entire video employs a pure first-person POV perspective (student's subjective viewpoint), with camera movements completely following natural head rotations and gaze movements. The composition is occasionally imperfect, showing realistic breathing tremors and slight shaking during moments of tension. From 0-4 seconds, the camera, in a first-person perspective, rests on a desk in a secluded corner of the library, with noticeable breathing tremors. You can clearly see your legs in black trousers. A female teacher approaches from behind and sits directly opposite you, wearing a white, glossy cheongsam-style dress (high slit design, keyhole cutout at the chest, pink floral lace shoulder embellishments), paired with white suspender stockings and white garter belts. She suddenly leans forward, one hand reaching out to cover your mouth, the other pressing on the inside of your black trousers, whispering, "Don't make a sound... be good, sit still." Her voice is extremely low, yet carries a powerful seduction. The autofocus searches for the high slit of the white cheongsam and the white suspender stockings. Between 4 and 9 seconds, the teacher leans forward more proactively, the high slit of her glossy white cheongsam sliding upwards, revealing a large expanse of her fair thigh and white stockings. She whispers in your ear, "Watch closely... this is what you want to see." The camera instinctively lowers its focus, locking onto a close-up of your black trousers and the teacher's white stockings—the glossy cheongsam fabric taut, the stockings subtly reflective. Your breathing noticeably becomes heavier. Between 9 and 15 seconds, footsteps approach in the distance, and the teacher presses you down more aggressively, whispering a warning, "Someone's coming... but you can't move or make a sound." The high slit of the white cheongsam and the stockings are pressed tightly together, the image shakes violently, the tension reaching its peak. The footsteps grow closer, and the image freezes in an extremely oppressive atmosphere. The footage presents a realistic, unprocessed handheld video quality, a natural, imperfect feel reminiscent of a documentary, without any post-production color grading or special effects. All camera actions are consistent with the physical characteristics of iPhone automatic shooting.

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seedance prompt: Realistic Video Narration (15-Second Full Version - Pure First-Person POV): Presented in the style of unprocessed, handheld, unstable iPhone video footage. All camera settings are automatic, with no post-processing color grading or special effects. The footage captures the realistic breathing of the operator and slight, irregular hand shake. Autofocus frequently exhibits intense searching, brief out-of-focus periods, and delayed recovery. Auto white balance naturally shifts between warm and cool tones as it blends with the library lights and natural light from distant windows. The overall image is flat and slightly washed out, retaining realistic lens flare, edge purple-green iridescence, and slight overexposure or underexposure. Faint fingerprint artifacts occasionally appear at the bottom of the frame. Only natural ambient sound effects are used (the sound of turning pages, very light footsteps in the distance, the low hum of an air conditioner, suppressed breathing, and the subtle rustling of stockings against a cheongsam). All sounds are extremely suppressed, with slight microphone distortion at louder frequencies. The entire video employs a pure first-person POV perspective (student's subjective viewpoint), with camera movements completely following natural head rotations and gaze movements. The composition is occasionally imperfect, showing realistic breathing tremors and slight shaking during moments of tension. From 0-4 seconds, the camera, in a first-person perspective, rests on a desk in a secluded corner of the library, with noticeable breathing tremors. You can clearly see your legs in black trousers. A female teacher approaches from behind and sits directly opposite you, wearing a white, glossy cheongsam-style dress (high slit design, keyhole cutout at the chest, pink floral lace shoulder embellishments), paired with white suspender stockings and white garter belts. She suddenly leans forward, one hand reaching out to cover your mouth, the other pressing on the inside of your black trousers, whispering, "Don't make a sound... be good, sit still." Her voice is extremely low, yet carries a powerful seduction. The autofocus searches for the high slit of the white cheongsam and the white suspender stockings. Between 4 and 9 seconds, the teacher leans forward more proactively, the high slit of her glossy white cheongsam sliding upwards, revealing a large expanse of her fair thigh and white stockings. She whispers in your ear, "Watch closely... this is what you want to see." The camera instinctively lowers its focus, locking onto a close-up of your black trousers and the teacher's white stockings—the glossy cheongsam fabric taut, the stockings subtly reflective. Your breathing noticeably becomes heavier. Between 9 and 15 seconds, footsteps approach in the distance, and the teacher presses you down more aggressively, whispering a warning, "Someone's coming... but you can't move or make a sound." The high slit of the white cheongsam and the stockings are pressed tightly together, the image shakes violently, the tension reaching its peak. The footsteps grow closer, and the image freezes in an extremely oppressive atmosphere. The footage presents a realistic, unprocessed handheld video quality, a natural, imperfect feel reminiscent of a documentary, without any post-production color grading or special effects. All camera actions are consistent with the physical characteristics of iPhone automatic shooting.

John

32,320 Aufrufe • vor 2 Monaten

Couldn’t sleep so here I am scrolling through Friday’s footage from — and I keep coming back to this little guy. Born this week. First time mama did an absolutely beautiful job. And this calf — almost grey, almost purple. Stunning. Haven’t had one come out that color before and I’ll be honest, I stood there for a minute just taking it in. Here’s what’s actually happening with that color. Mama is a black Longhorn. Dad is a Charolais bull. Charolais carry a dominant dilution gene — one copy is enough to override the black coat and turn it smoky grey. Two copies gives you the full creamy white you see in a pure Charolais. This calf got one copy from dad, so he landed right in the middle. Diluted black. That smoky, almost purple grey you’re seeing in these photos. This is exactly why we cross Longhorns with Charolais. Longhorns bring the hardiness, the calving ease, the foraging ability. Charolais bring the frame, the muscle, the growth. Put them together and you get hybrid vigor, solid marketable calves, and apparently — every now and then — something that stops you cold in the middle of a Friday morning. He’s a boy. No name yet. Keep an eye out tomorrow — we’re running a giveaway for the best name. Start thinking. Your rancher, Jason Hanley | 208-714-0478 Satoshi

Couldn’t sleep so here I am scrolling through Friday’s footage from — and I keep coming back to this little guy. Born this week. First time mama did an absolutely beautiful job. And this calf — almost grey, almost purple. Stunning. Haven’t had one come out that color before and I’ll be honest, I stood there for a minute just taking it in. Here’s what’s actually happening with that color. Mama is a black Longhorn. Dad is a Charolais bull. Charolais carry a dominant dilution gene — one copy is enough to override the black coat and turn it smoky grey. Two copies gives you the full creamy white you see in a pure Charolais. This calf got one copy from dad, so he landed right in the middle. Diluted black. That smoky, almost purple grey you’re seeing in these photos. This is exactly why we cross Longhorns with Charolais. Longhorns bring the hardiness, the calving ease, the foraging ability. Charolais bring the frame, the muscle, the growth. Put them together and you get hybrid vigor, solid marketable calves, and apparently — every now and then — something that stops you cold in the middle of a Friday morning. He’s a boy. No name yet. Keep an eye out tomorrow — we’re running a giveaway for the best name. Start thinking. Your rancher, Jason Hanley | 208-714-0478 Satoshi

AcmeAcres.us

16,060 Aufrufe • vor 4 Monaten

llama3 8B (not quantized) running on an heterogeneous home cluster made of: - iPhone 15 Pro Max - iPad Pro (not sure which version XD) - MacBook Pro ( M1 Max ) - NVIDIA GeForce 3080 (not visible in video) - 2x NVIDIA Titan X Pascal Very soon also supporting Android (I *have* to also add my NVIDIA Shield GPU!!!!!). Single code base, single model format (reduced and optimally distributed to every node to save space). Everything (including iOS code) is open here ... it would be really nice, with the help of the community, taking this project to the next level in terms of optimization and support. My vision is about a distributed inference server that can run any model on any backend in any cluster topology - let's fight programmed obsolescence and democratize inference!

llama3 8B (not quantized) running on an heterogeneous home cluster made of: - iPhone 15 Pro Max - iPad Pro (not sure which version XD) - MacBook Pro ( M1 Max ) - NVIDIA GeForce 3080 (not visible in video) - 2x NVIDIA Titan X Pascal Very soon also supporting Android (I have to also add my NVIDIA Shield GPU!!!!!). Single code base, single model format (reduced and optimally distributed to every node to save space). Everything (including iOS code) is open here ... it would be really nice, with the help of the community, taking this project to the next level in terms of optimization and support. My vision is about a distributed inference server that can run any model on any backend in any cluster topology - let's fight programmed obsolescence and democratize inference!

Simone Margaritelli

304,072 Aufrufe • vor 2 Jahren

Will China Invade Taiwan? 26 fighter jets. 7 warships. Circling one island. And the whole world should be paying attention. Taiwan is not just a country. It is the most important 36,000 square kilometres on the planet. One company TSMC manufactures 92% of the world’s most advanced semiconductors right here. The chip inside your iPhone. Your laptop. Every single NVIDIA GPU that is powering the AI revolution. All of it. Taiwan. NVIDIA is a $4.6 trillion company. Apple is $3.3 trillion. The entire Magnificent Seven Apple, Microsoft, NVIDIA, Google, Amazon, Meta, Tesla all depend on chips that come from this one island. If Taiwan stops, the global tech industry loses $1.6 trillion in a single year. Not a recession. A depression. America knows this. Japan knows this. Europe knows this. That is why they are all desperately trying to build chip factories back home. But they are 5 years behind. Minimum. And China? China wants all of it. America is stretched thin. Iran crisis. Middle East burning. No international rules left. China has been watching. Waiting. This is the moment they calculated for. The biggest power grab of our lifetime is happening right now. Most people are scrolling past it. #china #taiwan #tsmc #nvidia #geopolitics #iran #israel #usa

Will China Invade Taiwan? 26 fighter jets. 7 warships. Circling one island. And the whole world should be paying attention. Taiwan is not just a country. It is the most important 36,000 square kilometres on the planet. One company TSMC manufactures 92% of the world’s most advanced semiconductors right here. The chip inside your iPhone. Your laptop. Every single NVIDIA GPU that is powering the AI revolution. All of it. Taiwan. NVIDIA is a $4.6 trillion company. Apple is $3.3 trillion. The entire Magnificent Seven Apple, Microsoft, NVIDIA, Google, Amazon, Meta, Tesla all depend on chips that come from this one island. If Taiwan stops, the global tech industry loses $1.6 trillion in a single year. Not a recession. A depression. America knows this. Japan knows this. Europe knows this. That is why they are all desperately trying to build chip factories back home. But they are 5 years behind. Minimum. And China? China wants all of it. America is stretched thin. Iran crisis. Middle East burning. No international rules left. China has been watching. Waiting. This is the moment they calculated for. The biggest power grab of our lifetime is happening right now. Most people are scrolling past it. #china #taiwan #tsmc #nvidia #geopolitics #iran #israel #usa

CryptoWala

60,560 Aufrufe • vor 4 Monaten

This is one of my favorite iPhone hacks and works surprisingly well! Let me share all the steps here so you exactly know how to do this too: 1. Open Settings → Accessibility. 2. Scroll to the bottom and tap Accessibility Shortcut. 3. Select VoiceOver (make sure it has a ✓ next to it). → This lets you triple-click the side button to quickly toggle VoiceOver on or off. 4. Open the Camera app and swipe to Video mode. 5. Triple-click the side button to turn on VoiceOver. (You'll hear VoiceOver speak when it's active.) 6. When ready, double-tap the Record button to start recording. (VoiceOver will say "Recording.") 7. Triple tap the display with three fingers. → The screen goes black, but your iPhone keeps recording in the background. 8. When you're done, triple tap the screen with three fingers again to wake the screen. 9. Double-tap the Record button to stop recording. 10. Triple-click the side button again to turn off VoiceOver.. sc ig/appledsign

This is one of my favorite iPhone hacks and works surprisingly well! Let me share all the steps here so you exactly know how to do this too: 1. Open Settings → Accessibility. 2. Scroll to the bottom and tap Accessibility Shortcut. 3. Select VoiceOver (make sure it has a ✓ next to it). → This lets you triple-click the side button to quickly toggle VoiceOver on or off. 4. Open the Camera app and swipe to Video mode. 5. Triple-click the side button to turn on VoiceOver. (You'll hear VoiceOver speak when it's active.) 6. When ready, double-tap the Record button to start recording. (VoiceOver will say "Recording.") 7. Triple tap the display with three fingers. → The screen goes black, but your iPhone keeps recording in the background. 8. When you're done, triple tap the screen with three fingers again to wake the screen. 9. Double-tap the Record button to stop recording. 10. Triple-click the side button again to turn off VoiceOver.. sc ig/appledsign

Laurent Correia Bill

254,402 Aufrufe • vor 9 Monaten

Jordan Golson has a great read on 5-year partnership between LoveFrom and Ferrari for its first EV: ▫️It began in 2021 and before Jony Ive or Marc Newson “drew a single line, they spent six months on research.” ▫️Research led to 4 hardcover books, that were “substantial, rigorous volumes printed in both Italian and English, left page and right page, covering philosophy, design history, the cultural significance of Ferrari within Italy, the relationship between human attention and physical interaction." ▫️In an incredible coincidence, Benedetto Vigna became Ferrari’s CEO in 2021 (he is a physicist who invented the "three-axis accelerometer that ended up inside the iPhone"). ▫️LoveFrom has spent past 2.5 years manufacturing components for the car’s interior (including 40+ custom glass pieces in collaboration with Corning, which Steve Jobs had convinced to commercialize Gorilla Glass for the first iPhone). ▫️Ive felt too many new cars has taken the minimalist iPhone touchscreen to the interiors and wanted to find a way to blend tactile knobs with digital. ▫️One of the most striking things from Ferrari Luce’s launch video is the Ferrari key fob that goes next to the stick shift and lights up the car. ▫️Ive wanted the key fob to create "theatre" with how the vehicle turned on (as Golson notes, "Electric cars fundamentally lack the ritual of starting up. There’s no engine turning over, no rumble settling into an idle, no mechanical systems awakening. The Luce’s key ceremony isn’t trying to fake that — it’s creating a new version of it, native to what this car is.") ▫️The end product we saw last week “barely at all” changed from the proposal in those original 4 books (Ferrari will unveil full exterior in May). It's not clear how much Ferrari is paying for the partnership but previous NYT reporting said top-tier clients at LoveFrom (team of 60 including tons of ex-Apple designers, UX, software folk) spend up to $200m a year. *** Full Golson read here:

Jordan Golson has a great read on 5-year partnership between LoveFrom and Ferrari for its first EV: ▫️It began in 2021 and before Jony Ive or Marc Newson “drew a single line, they spent six months on research.” ▫️Research led to 4 hardcover books, that were “substantial, rigorous volumes printed in both Italian and English, left page and right page, covering philosophy, design history, the cultural significance of Ferrari within Italy, the relationship between human attention and physical interaction." ▫️In an incredible coincidence, Benedetto Vigna became Ferrari’s CEO in 2021 (he is a physicist who invented the "three-axis accelerometer that ended up inside the iPhone"). ▫️LoveFrom has spent past 2.5 years manufacturing components for the car’s interior (including 40+ custom glass pieces in collaboration with Corning, which Steve Jobs had convinced to commercialize Gorilla Glass for the first iPhone). ▫️Ive felt too many new cars has taken the minimalist iPhone touchscreen to the interiors and wanted to find a way to blend tactile knobs with digital. ▫️One of the most striking things from Ferrari Luce’s launch video is the Ferrari key fob that goes next to the stick shift and lights up the car. ▫️Ive wanted the key fob to create "theatre" with how the vehicle turned on (as Golson notes, "Electric cars fundamentally lack the ritual of starting up. There’s no engine turning over, no rumble settling into an idle, no mechanical systems awakening. The Luce’s key ceremony isn’t trying to fake that — it’s creating a new version of it, native to what this car is.") ▫️The end product we saw last week “barely at all” changed from the proposal in those original 4 books (Ferrari will unveil full exterior in May). It's not clear how much Ferrari is paying for the partnership but previous NYT reporting said top-tier clients at LoveFrom (team of 60 including tons of ex-Apple designers, UX, software folk) spend up to $200m a year. *** Full Golson read here:

Trung Phan

105,880 Aufrufe • vor 5 Monaten

VAXEE XEv2 4K Wireless Mouse Introduction Video and Sales Information VAXEE launches the XEv2 4K Wireless Mouse, continuing the first-generation design while making adjustments to its weight, structure, and operational details. We’ve prepared a detailed introduction video as well as a written summary for your reference. Key Updates: · Weight: Reduced from 76g to 59g, with adjusted weight distribution to ease lift-off burden. · Sensor & Wireless Transmission: Equipped with the 3950 sensor; in Competitive Mode 4K, latency is 5% lower than the first generation. · Button Design: Uses a mid-frame structure to reduce wobble and accidental clicks; supports three levels of click response time: near 0ms, 2ms, and 4ms. · Function Button: Removed to achieve weight reduction and better balance. · Adjustment Method: Supports web-based driver and retains bottom buttons, allowing DPI, polling rate, and response time adjustments even without internet access. Design Features: · Flat and rounded back shape provides full support for the palm. · Mouse movement and lift are guided by the thenar and hypothenar areas of the hand, reducing finger strain. · Ideal for users who prefer extending their hand forward with the palm resting against the mouse’s back. Color Options & Sales Information: To thank our first customers, those who purchase within the first three days before new color options are released and do not request a return will receive a complimentary mouse case. The shipping date for the mouse case will be announced separately on our social media. · May: Obsidian Black and Pink Sales Start: May 7, 2025, at 6:00 PM (Customers who make a purchase between May 7 and May 9, 2025, and have no record of returns will receive a complimentary mouse case.) Mouse case introduction video: · June: Aqua Green and White · July: Red and Fluorescent Green Detailed sales date for other color options will be announced on our social media. For more information, please refer to the product page or contact customer service. US: EU:

VAXEE XEv2 4K Wireless Mouse Introduction Video and Sales Information VAXEE launches the XEv2 4K Wireless Mouse, continuing the first-generation design while making adjustments to its weight, structure, and operational details. We’ve prepared a detailed introduction video as well as a written summary for your reference. Key Updates: · Weight: Reduced from 76g to 59g, with adjusted weight distribution to ease lift-off burden. · Sensor & Wireless Transmission: Equipped with the 3950 sensor; in Competitive Mode 4K, latency is 5% lower than the first generation. · Button Design: Uses a mid-frame structure to reduce wobble and accidental clicks; supports three levels of click response time: near 0ms, 2ms, and 4ms. · Function Button: Removed to achieve weight reduction and better balance. · Adjustment Method: Supports web-based driver and retains bottom buttons, allowing DPI, polling rate, and response time adjustments even without internet access. Design Features: · Flat and rounded back shape provides full support for the palm. · Mouse movement and lift are guided by the thenar and hypothenar areas of the hand, reducing finger strain. · Ideal for users who prefer extending their hand forward with the palm resting against the mouse’s back. Color Options & Sales Information: To thank our first customers, those who purchase within the first three days before new color options are released and do not request a return will receive a complimentary mouse case. The shipping date for the mouse case will be announced separately on our social media. · May: Obsidian Black and Pink Sales Start: May 7, 2025, at 6:00 PM (Customers who make a purchase between May 7 and May 9, 2025, and have no record of returns will receive a complimentary mouse case.) Mouse case introduction video: · June: Aqua Green and White · July: Red and Fluorescent Green Detailed sales date for other color options will be announced on our social media. For more information, please refer to the product page or contact customer service. US: EU:

VAXEE.co

53,254 Aufrufe • vor 1 Jahr

MVP of Multiview Video → Camera parameters + 3D keypoints. Visualized with Rerun The basic pipeline as of right now looks like this: 1. Capture 🔴 – Using 4 iPhones and an Insta360 Go. iPhone videos are captured via Final Cut Pro Multicam for easy sync and the exocentric view; the Insta360 Go is used for the egocentric view. 2. Sync 🕒 – Custom Gradio app using two Rerun viewers and callbacks for easily aligning frame timestamps so the ego and exo views are aligned. 3. Calibrate 🎯 – Use VGGT from Jianyuan and AI at Meta to get intrinsics/extrinsics for sparse cameras. 4. Estimate 3D 🕺 – Use RTMLib whole‑body keypoint estimator on each frame, then triangulate in 3D. What's missing? 1. No temporal coherence: I’m estimating keypoints one frame at a time and one camera at a time. This leads to a lot of jittering. For now, I plan on adding a One Euro Filter to help with jittering. Long term, I'd want to train a multiview keypoint estimator 2. Kinematic fitting is still missing; this is my next goal. The output will be joint angles, as explored in my previous posts. 3. Missing dense point cloud: VGGT seems to fail for me here. I’m looking to explore using MP‑SFM as a method for generating dense multiview depth maps + normals (plus it has a friendlier license compared to VGGT). 4. Eventually, creation of 4D Gaussian splatting using something akin to DN‑splatter—my long‑term goal is a data engine that provides poses/depths/splats/keypoints/etc.

MVP of Multiview Video → Camera parameters + 3D keypoints. Visualized with Rerun The basic pipeline as of right now looks like this: 1. Capture 🔴 – Using 4 iPhones and an Insta360 Go. iPhone videos are captured via Final Cut Pro Multicam for easy sync and the exocentric view; the Insta360 Go is used for the egocentric view. 2. Sync 🕒 – Custom Gradio app using two Rerun viewers and callbacks for easily aligning frame timestamps so the ego and exo views are aligned. 3. Calibrate 🎯 – Use VGGT from Jianyuan and AI at Meta to get intrinsics/extrinsics for sparse cameras. 4. Estimate 3D 🕺 – Use RTMLib whole‑body keypoint estimator on each frame, then triangulate in 3D. What's missing? 1. No temporal coherence: I’m estimating keypoints one frame at a time and one camera at a time. This leads to a lot of jittering. For now, I plan on adding a One Euro Filter to help with jittering. Long term, I'd want to train a multiview keypoint estimator 2. Kinematic fitting is still missing; this is my next goal. The output will be joint angles, as explored in my previous posts. 3. Missing dense point cloud: VGGT seems to fail for me here. I’m looking to explore using MP‑SFM as a method for generating dense multiview depth maps + normals (plus it has a friendlier license compared to VGGT). 4. Eventually, creation of 4D Gaussian splatting using something akin to DN‑splatter—my long‑term goal is a data engine that provides poses/depths/splats/keypoints/etc.

Pablo Vela

42,785 Aufrufe • vor 1 Jahr

In December 1953, America's TV engineers made the most expensive compromise in broadcasting history. The FCC had already picked the better technology. CBS's color wheel produced sharper pictures than anything RCA could build. Then they killed it. By 1953, 26 million black-and-white sets sat in American living rooms. CBS's wheel needed to spin inside every TV. Every existing set would go dark the moment color aired. RCA's answer was stranger. They hid color on a 3.58 MHz subcarrier, slipped between the gaps of the black-and-white signal. Engineers joked NTSC stood for "Never Twice the Same Color." But every old TV kept working. That was the point. The "correct" solution lost. The one that honored 26 million living rooms won. Backward compatibility isn't a feature. It's the tax every successor owes the installed base. Where in your field is a 'better' idea losing to one that protects what already works? One lens worth keeping: in mature industries, the installed base is the veto. Audit what your design would quietly destroy before you ship. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab your free copy here: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Primal Space, YouTube | Data: FCC archives, RCA Laboratories

In December 1953, America's TV engineers made the most expensive compromise in broadcasting history. The FCC had already picked the better technology. CBS's color wheel produced sharper pictures than anything RCA could build. Then they killed it. By 1953, 26 million black-and-white sets sat in American living rooms. CBS's wheel needed to spin inside every TV. Every existing set would go dark the moment color aired. RCA's answer was stranger. They hid color on a 3.58 MHz subcarrier, slipped between the gaps of the black-and-white signal. Engineers joked NTSC stood for "Never Twice the Same Color." But every old TV kept working. That was the point. The "correct" solution lost. The one that honored 26 million living rooms won. Backward compatibility isn't a feature. It's the tax every successor owes the installed base. Where in your field is a 'better' idea losing to one that protects what already works? One lens worth keeping: in mature industries, the installed base is the veto. Audit what your design would quietly destroy before you ship. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab your free copy here: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Primal Space, YouTube | Data: FCC archives, RCA Laboratories

GeniusThinking

30,674 Aufrufe • vor 3 Monaten

🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.

Rohan Paul

63,859 Aufrufe • vor 11 Monaten

DeepAgent Redefines Autonomous AI: One Prompt, Infinite Possibilities DeepAgent by Abacus AI just redefined what’s possible with autonomous AI. Instantly build websites, create videos, generate PowerPoint decks, or even launch fully monetized SaaS apps—all from a single prompt. This is next-level, end-to-end AI automation, now available to everyone. What sets DeepAgent apart? It learns new tools in real time, without the need for APIs—connecting seamlessly to platforms like Google Maps, Jira, Stripe, and more. It handles everything from frontend to live backend support, delivering truly full-stack, production-ready apps and integrations at lightning speed. Powered by a dynamic combination of GPT-4o, Claude 3, and Gemini Ultra, DeepAgent effortlessly switches between the world’s leading AI models to maximize creativity, precision, and performance. Developers are already using it to build real-world projects: summer camp sites, Mars slideshows, fashion advisors, and more—deployed and monetized instantly. This breakthrough proves just how far autonomous AI has come: design, code, deploy, and monetize—all with almost no human input. The era of hands-off software creation is here. Try it yourself → #deepagent #Innovation #AIAgent #ai Abacus.AI

DeepAgent Redefines Autonomous AI: One Prompt, Infinite Possibilities DeepAgent by Abacus AI just redefined what’s possible with autonomous AI. Instantly build websites, create videos, generate PowerPoint decks, or even launch fully monetized SaaS apps—all from a single prompt. This is next-level, end-to-end AI automation, now available to everyone. What sets DeepAgent apart? It learns new tools in real time, without the need for APIs—connecting seamlessly to platforms like Google Maps, Jira, Stripe, and more. It handles everything from frontend to live backend support, delivering truly full-stack, production-ready apps and integrations at lightning speed. Powered by a dynamic combination of GPT-4o, Claude 3, and Gemini Ultra, DeepAgent effortlessly switches between the world’s leading AI models to maximize creativity, precision, and performance. Developers are already using it to build real-world projects: summer camp sites, Mars slideshows, fashion advisors, and more—deployed and monetized instantly. This breakthrough proves just how far autonomous AI has come: design, code, deploy, and monetize—all with almost no human input. The era of hands-off software creation is here. Try it yourself → #deepagent #Innovation #AIAgent #ai Abacus.AI

LNP AI Services

15,876 Aufrufe • vor 1 Jahr

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.

GREG ISENBERG

2,310,648 Aufrufe • vor 2 Jahren

🎓Learn how to create a powerful Dynamic Embers smart material in a matter of seconds, in my latest video series (AAA) Pro Tips! This smart material can be used on virtually any 3D asset. ___________________________________________________ In this video, the steps are as follows: 1. Create a fill layer to then apply the base maps for our asset into it. 2. Bake out the world space, AO, Curvature, and Position maps. These maps will be crucial for the smart material to function. Also, be sure to add an emissive channel to the project. 3. Next, create another fill layer labeled (Fire animation gradient) with a black mask and inside the mask apply a paint layer. Select the paint layer and paint a simple pill shape using a soft brush. Add an anchorpoint to the mask and disable all channels in this fill layer. 4. Create a folder labeled (embers smart material) and set it to pass through. Add a paint layer inside this folder and set it to pass through as well followed by an anchorpoint. 5. Create another fill layer and apply the paint layers anchorpoint information into its color channel. From here an HSL filter should be added to desaturate and darken the colors. 6. Next, create an additional fill layer with an orange-colored emissive channel. Add a black mask to this fill layer and inside its mask apply a dirt generator. This will give us the illusion of the embers glowing from inside the charred tree. Duplicate this fill layer and tweak its emissive color to a yellowish hue and reduce its mask amount. Do this a second time but with a white-colored emissive channel. This will now create an effect of the embers appearing brighter the deeper they are inside the tree. 7. Lastly, add these layers into a folder with a black mask and apply the (Fire Animation Gradient) anchorpoint into its mask via a fill layer. Now we have a charred embers effect wherever we paint using the paint layer created inside the gradient mask! This gradient mask can also be exported into Unreal engine to create some stunning real-time dynamic animations or the new material can simply be used for in-engine vertex painting. ____________________________________________________ More AAA Game Dev Tips can be found on my YouTube channel here: Stay tuned for more weekly Tips! Happy Texturing!💚 #gamedev #gameart #3dmodeling #texturing #madewithsubstance #ue5 #unrealengine #unity #vfx

🎓Learn how to create a powerful Dynamic Embers smart material in a matter of seconds, in my latest video series (AAA) Pro Tips! This smart material can be used on virtually any 3D asset. _ In this video, the steps are as follows: 1. Create a fill layer to then apply the base maps for our asset into it. 2. Bake out the world space, AO, Curvature, and Position maps. These maps will be crucial for the smart material to function. Also, be sure to add an emissive channel to the project. 3. Next, create another fill layer labeled (Fire animation gradient) with a black mask and inside the mask apply a paint layer. Select the paint layer and paint a simple pill shape using a soft brush. Add an anchorpoint to the mask and disable all channels in this fill layer. 4. Create a folder labeled (embers smart material) and set it to pass through. Add a paint layer inside this folder and set it to pass through as well followed by an anchorpoint. 5. Create another fill layer and apply the paint layers anchorpoint information into its color channel. From here an HSL filter should be added to desaturate and darken the colors. 6. Next, create an additional fill layer with an orange-colored emissive channel. Add a black mask to this fill layer and inside its mask apply a dirt generator. This will give us the illusion of the embers glowing from inside the charred tree. Duplicate this fill layer and tweak its emissive color to a yellowish hue and reduce its mask amount. Do this a second time but with a white-colored emissive channel. This will now create an effect of the embers appearing brighter the deeper they are inside the tree. 7. Lastly, add these layers into a folder with a black mask and apply the (Fire Animation Gradient) anchorpoint into its mask via a fill layer. Now we have a charred embers effect wherever we paint using the paint layer created inside the gradient mask! This gradient mask can also be exported into Unreal engine to create some stunning real-time dynamic animations or the new material can simply be used for in-engine vertex painting. __ More AAA Game Dev Tips can be found on my YouTube channel here: Stay tuned for more weekly Tips! Happy Texturing!💚 #gamedev #gameart #3dmodeling #texturing #madewithsubstance #ue5 #unrealengine #unity #vfx

Cohen Brawley

46,031 Aufrufe • vor 2 Jahren

100 years. 10 iconic looks. One seamless journey through the evolution of men's fashion. Which decade would you wear? 👔✨ Created with GPT image 2.0 and Seedance 2.0 on Thank You AI PROMPT: Style: Ultra-realistic cinematic fashion reel, luxury editorial, premium Instagram creator aesthetic, smooth camera movement, natural lighting, 4K, highly detailed fabrics, realistic clothing physics. Scene Overview A stylish male model showcases five iconic fashion eras from the 1920s to the 1960s. The video takes place in the same modern studio with soft daylight and a clean architectural background. The same model appears throughout the video while only the clothing changes between decades. Every outfit change happens naturally during camera movement, creating a smooth and satisfying visual flow. The only on-screen text is the decade name. Music is a modern electronic fashion track that builds continuously without vocals. Character Use the reference image as the model. Young adult male. Confident but relaxed. Friendly expression. Natural walking pace. The same model appears in every scene. Environment Minimalist fashion studio. Large windows. Warm daylight. Neutral beige walls. Polished concrete floor. Luxury editorial atmosphere. Keep the background consistent throughout the video. 0:00–0:03 — 1920s The video opens with the model standing confidently in the center of the studio. The camera slowly moves closer. He adjusts his cufflinks before looking toward the camera. Outfit Charcoal pinstripe three-piece suit White dress shirt Dark tie Waistcoat Pocket watch chain Oxford shoes Grey newsboy cap On-screen text: 1920s As the camera quickly pans to the right, the clothing smoothly changes into the next decade. 0:03–0:06 — 1930s The camera finishes the movement. The model now wears a cream double-breasted suit with wide lapels, pleated trousers, spectator shoes, and a fedora. He places one hand in his pocket and takes a confident step forward. On-screen text: 1930s The camera gently circles around him, and during the movement the outfit changes into the next style. 0:06–0:09 — 1940s The camera completes the circle. The model now wears an olive green utility jacket with tailored trousers, brown leather boots, and a classic wristwatch. He buttons the jacket while walking slowly toward the camera. On-screen text: 1940s A warm light sweep crosses the frame, leading naturally into the next outfit. 0:09–0:12 — 1950s The model now wears a fitted white T-shirt, dark blue cuffed jeans, a brown leather belt, leather boots, and classic sunglasses. He casually adjusts the sunglasses before taking two relaxed steps forward. On-screen text: 1950s The camera briefly moves closer, then pulls back, allowing the clothing to change smoothly. 0:12–0:15 — 1960s The model now wears a black turtleneck, camel overcoat, slim trousers, Chelsea boots, and a simple wristwatch. He walks confidently toward the camera with both hands in his coat pockets. On-screen text: 1960s During the final second, the camera begins a slow clockwise circle around him. His coat moves naturally as he lightly adjusts the collar. The music continues to build instead of ending. 0:15–0:18 — 1970s The video begins exactly where Part 1 ended. The camera continues its slow clockwise movement around the model before settling into a smooth front-facing angle. The music hits the next beat naturally. Outfit Brown suede jacket Patterned open-collar shirt Flared trousers Brown leather belt Platform shoes Gold wristwatch Aviator sunglasses The model adjusts his sunglasses before removing them with a confident smile. On-screen text: 1970s As the camera moves slightly closer, the outfit changes naturally into the next decade. 0:18–0:21 — 1980s The camera continues tracking forward. The model now wears a charcoal oversized business suit with a patterned tie, pleated trousers, polished loafers, and a classic dress watch. He straightens his tie while walking confidently toward the camera. On-screen text: 1980s The camera briefly passes beside him, creating a smooth transition into the next outfit. 0:21–0:24 — 1990s The camera emerges on the opposite side. The model now wears an oversized light-wash denim jacket over a graphic T-shirt, relaxed jeans, chunky white sneakers, and a simple silver chain. He smiles naturally while walking across the frame with both hands in his jacket pockets. On-screen text: 1990s The camera follows his movement before quickly swinging to reveal the next decade. 0:24–0:27 — 2000s The camera settles into a smooth tracking shot. The model now wears a black leather jacket over a fitted white T-shirt, slim dark jeans, white high-top sneakers, and aviator sunglasses. He casually removes the jacket from one shoulder while continuing to walk. The movement of the jacket naturally fills part of the frame as the clothing changes into the final look. On-screen text: 2000s 0:27–0:30 — 2020s The jacket clears the frame. The camera slowly pushes toward the model. He now wears a modern quiet luxury outfit. Outfit Beige overshirt Premium white T-shirt Relaxed tailored trousers White minimalist sneakers Luxury stainless steel watch Simple silver ring The model walks toward the camera before stopping naturally. He smiles confidently while looking directly into the lens. On-screen text: 2020s The decade text gently fades into: 100 YEARS OF MEN'S FASHION Then below it: 1920 → 2020 The music reaches its final peak before fading smoothly. The camera holds on the model for a brief moment before fading to black. Camera Style Smooth cinematic movement Gentle dolly shots Slow orbit around the model Occasional push-in Natural handheld feel Soft depth of field Luxury fashion commercial look Visual Style Premium editorial photography Warm natural colors Soft contrast Highly detailed fabrics Clean tailoring Realistic lighting Crisp facial details Natural movement Elegant pacing

100 years. 10 iconic looks. One seamless journey through the evolution of men's fashion. Which decade would you wear? 👔✨ Created with GPT image 2.0 and Seedance 2.0 on Thank You AI PROMPT: Style: Ultra-realistic cinematic fashion reel, luxury editorial, premium Instagram creator aesthetic, smooth camera movement, natural lighting, 4K, highly detailed fabrics, realistic clothing physics. Scene Overview A stylish male model showcases five iconic fashion eras from the 1920s to the 1960s. The video takes place in the same modern studio with soft daylight and a clean architectural background. The same model appears throughout the video while only the clothing changes between decades. Every outfit change happens naturally during camera movement, creating a smooth and satisfying visual flow. The only on-screen text is the decade name. Music is a modern electronic fashion track that builds continuously without vocals. Character Use the reference image as the model. Young adult male. Confident but relaxed. Friendly expression. Natural walking pace. The same model appears in every scene. Environment Minimalist fashion studio. Large windows. Warm daylight. Neutral beige walls. Polished concrete floor. Luxury editorial atmosphere. Keep the background consistent throughout the video. 0:00–0:03 — 1920s The video opens with the model standing confidently in the center of the studio. The camera slowly moves closer. He adjusts his cufflinks before looking toward the camera. Outfit Charcoal pinstripe three-piece suit White dress shirt Dark tie Waistcoat Pocket watch chain Oxford shoes Grey newsboy cap On-screen text: 1920s As the camera quickly pans to the right, the clothing smoothly changes into the next decade. 0:03–0:06 — 1930s The camera finishes the movement. The model now wears a cream double-breasted suit with wide lapels, pleated trousers, spectator shoes, and a fedora. He places one hand in his pocket and takes a confident step forward. On-screen text: 1930s The camera gently circles around him, and during the movement the outfit changes into the next style. 0:06–0:09 — 1940s The camera completes the circle. The model now wears an olive green utility jacket with tailored trousers, brown leather boots, and a classic wristwatch. He buttons the jacket while walking slowly toward the camera. On-screen text: 1940s A warm light sweep crosses the frame, leading naturally into the next outfit. 0:09–0:12 — 1950s The model now wears a fitted white T-shirt, dark blue cuffed jeans, a brown leather belt, leather boots, and classic sunglasses. He casually adjusts the sunglasses before taking two relaxed steps forward. On-screen text: 1950s The camera briefly moves closer, then pulls back, allowing the clothing to change smoothly. 0:12–0:15 — 1960s The model now wears a black turtleneck, camel overcoat, slim trousers, Chelsea boots, and a simple wristwatch. He walks confidently toward the camera with both hands in his coat pockets. On-screen text: 1960s During the final second, the camera begins a slow clockwise circle around him. His coat moves naturally as he lightly adjusts the collar. The music continues to build instead of ending. 0:15–0:18 — 1970s The video begins exactly where Part 1 ended. The camera continues its slow clockwise movement around the model before settling into a smooth front-facing angle. The music hits the next beat naturally. Outfit Brown suede jacket Patterned open-collar shirt Flared trousers Brown leather belt Platform shoes Gold wristwatch Aviator sunglasses The model adjusts his sunglasses before removing them with a confident smile. On-screen text: 1970s As the camera moves slightly closer, the outfit changes naturally into the next decade. 0:18–0:21 — 1980s The camera continues tracking forward. The model now wears a charcoal oversized business suit with a patterned tie, pleated trousers, polished loafers, and a classic dress watch. He straightens his tie while walking confidently toward the camera. On-screen text: 1980s The camera briefly passes beside him, creating a smooth transition into the next outfit. 0:21–0:24 — 1990s The camera emerges on the opposite side. The model now wears an oversized light-wash denim jacket over a graphic T-shirt, relaxed jeans, chunky white sneakers, and a simple silver chain. He smiles naturally while walking across the frame with both hands in his jacket pockets. On-screen text: 1990s The camera follows his movement before quickly swinging to reveal the next decade. 0:24–0:27 — 2000s The camera settles into a smooth tracking shot. The model now wears a black leather jacket over a fitted white T-shirt, slim dark jeans, white high-top sneakers, and aviator sunglasses. He casually removes the jacket from one shoulder while continuing to walk. The movement of the jacket naturally fills part of the frame as the clothing changes into the final look. On-screen text: 2000s 0:27–0:30 — 2020s The jacket clears the frame. The camera slowly pushes toward the model. He now wears a modern quiet luxury outfit. Outfit Beige overshirt Premium white T-shirt Relaxed tailored trousers White minimalist sneakers Luxury stainless steel watch Simple silver ring The model walks toward the camera before stopping naturally. He smiles confidently while looking directly into the lens. On-screen text: 2020s The decade text gently fades into: 100 YEARS OF MEN'S FASHION Then below it: 1920 → 2020 The music reaches its final peak before fading smoothly. The camera holds on the model for a brief moment before fading to black. Camera Style Smooth cinematic movement Gentle dolly shots Slow orbit around the model Occasional push-in Natural handheld feel Soft depth of field Luxury fashion commercial look Visual Style Premium editorial photography Warm natural colors Soft contrast Highly detailed fabrics Clean tailoring Realistic lighting Crisp facial details Natural movement Elegant pacing

Caden Flux

30,445 Aufrufe • vor 16 Tagen

Last week, we shared a refresher on our favorite Flow features. Today, we're doing a deep dive into prompting with a few tips on how to craft the optimal prompt, create your dream video, and #FindYourFlow 🕺 Clearly identify your characters or objects and describe their movements 🎥 Frame your shot with compositional terms like "wide shot" or “close-up" and direct the camera with instructions like "tracking shot" or "aerial view" 💡The lighting and environment set the entire mood. Instead of "a room" use more descriptive terms like "a dusty attic filled with forgotten treasures, a single beam of afternoon light cutting through a grimy window" 🧸 Flow is not limited to realistic visuals. You can experiment with a wide array of animation styles like "stop motion" or "knitted animation" 🗣️ With Veo 3, you can include sound effects and dialogue in your prompt. Describe the ambient sounds happening throughout the scene and generate dialogue by including it in your prompt. For more Flow tips, see here ➡️ 🚨Pro tip: this is another great bookmark 😉

Last week, we shared a refresher on our favorite Flow features. Today, we're doing a deep dive into prompting with a few tips on how to craft the optimal prompt, create your dream video, and #FindYourFlow 🕺 Clearly identify your characters or objects and describe their movements 🎥 Frame your shot with compositional terms like "wide shot" or “close-up" and direct the camera with instructions like "tracking shot" or "aerial view" 💡The lighting and environment set the entire mood. Instead of "a room" use more descriptive terms like "a dusty attic filled with forgotten treasures, a single beam of afternoon light cutting through a grimy window" 🧸 Flow is not limited to realistic visuals. You can experiment with a wide array of animation styles like "stop motion" or "knitted animation" 🗣️ With Veo 3, you can include sound effects and dialogue in your prompt. Describe the ambient sounds happening throughout the scene and generate dialogue by including it in your prompt. For more Flow tips, see here ➡️ 🚨Pro tip: this is another great bookmark 😉

Google Labs

33,904 Aufrufe • vor 1 Jahr

Time traveler from 2045 took a lie detector test on camera 20 questions, and the needle never moved. His name is Adam, and he showed up wearing black and white on purpose, claiming that in the future the color spectrum in clothing is almost gone. The machine ran through everything: Time travel was invented in 1981 and kept secret for 47 years, until 2028 the same year aliens go public, though he swears they don't come from space. By 2030 all countries merge into 1 super nation with 7 districts, governed by an AI, with only 10 humans checking its morality. Cash is dead 1 global currency, paid through a chip in your hand. He showed his: the skin around it was swollen where his body tried to reject it. Los Angeles sits underwater, dinosaurs are back as tourist attractions, and most UFO sightings are just future tourists whose cloaking tech glitched mid-flight. Not 1 answer flagged as a lie. Then came the last question why 2019, of all years? Because he wanted to be here before December 6. He came back to watch himself get born.

Time traveler from 2045 took a lie detector test on camera 20 questions, and the needle never moved. His name is Adam, and he showed up wearing black and white on purpose, claiming that in the future the color spectrum in clothing is almost gone. The machine ran through everything: Time travel was invented in 1981 and kept secret for 47 years, until 2028 the same year aliens go public, though he swears they don't come from space. By 2030 all countries merge into 1 super nation with 7 districts, governed by an AI, with only 10 humans checking its morality. Cash is dead 1 global currency, paid through a chip in your hand. He showed his: the skin around it was swollen where his body tried to reject it. Los Angeles sits underwater, dinosaurs are back as tourist attractions, and most UFO sightings are just future tourists whose cloaking tech glitched mid-flight. Not 1 answer flagged as a lie. Then came the last question why 2019, of all years? Because he wanted to be here before December 6. He came back to watch himself get born.

West Lord

1,607,616 Aufrufe • vor 18 Tagen