Offshore
Photo
Aadit Sheth
This guy literally explains how a machine can learn like your brain https://t.co/237OdisNGf
tweet
This guy literally explains how a machine can learn like your brain https://t.co/237OdisNGf
tweet
Offshore
Video
naiive
" trust me bro, this coin is the one, we're not cooked, we're pre-rich"
https://t.co/yIIEyWps87
tweet
" trust me bro, this coin is the one, we're not cooked, we're pre-rich"
https://t.co/yIIEyWps87
tweet
Offshore
Video
Iqra Saifi
Veo-3 fast on Flow. 🐴
A hyper-realistic, first-person point-of-view shot of a person riding a horse at a powerful gallop across a vast, windswept, golden hillside towards a breathtaking sunset over a mountain range.", "camera": { "type": "First-Person POV 'Head-Cam'", "lens": "21mm Ultra-Wide Anamorphic Lens", "aperture": "f/5.6", "position": "Mounted from the rider's perspective, looking out over the horse's head towards the horizon. The view is dynamic and immersive.", "movement": "The camera has a constant, realistic, physics-based motion, jostling and swaying in perfect sync with the horse's powerful gallop. The movement feels raw and visceral, not artificially smoothed." }, "environment": { "location": "A rolling, open hillside covered in tall, golden-green grass, overlooking a wide river valley with snow-capped mountains in the far distance.", "sky": "A dramatic sunset sky filled with beautifully lit, voluminous clouds, painted in shades of orange, pink, and deep blue.", "atmosphere": "A strong wind is blowing from right to left, making the horse's mane and the tall grass ripple and flow in continuous, mesmerizing waves. A high-resolution particle simulation of pollen and small dust particles are caught in the wind, glinting in the sunlight." }, "main_subject": { "character": "The rider, seen only from a first-person perspective. A single, strong, leather-bracer-clad arm is visible on the left, hand wrapped firmly around weathered rope reins.", "horse": "A powerful chestnut-colored horse with a dark brown and white mane that whips violently and chaotically in the wind, occasionally obscuring parts of the view.", "action": "The horse is at a full, powerful gallop across the hillside, its powerful muscles flexing with each stride." }, "lighting": { "primary_source": { "type": "Setting Sun", "position": "Low on the horizon, directly ahead.", "effects": "Creates dramatic, long shadows that race alongside the horse. Causes beautiful, streaking anamorphic lens flares as the camera bobs and weaves. A strong, golden rim light catches the edge of the rider's arm and every strand of the horse's mane." }, "animation": { "character_animation": "The rider's hand subtly adjusts its grip on the reins in response to the horse's movement. The arm moves naturally and fluidly with the powerful rhythm of the gallop.", "horse_animation": "A realistic, powerful four-beat gallop cycle. The horse's muscles flex and bunch realistically under its skin. Its ears occasionally flick back and forth, reacting to the sounds of the environment.", "subtle_effects": "The tall grass realistically bends, parts, and springs back as the horse charges through it. Individual strands of the horse's mane have their own physical simulation." }, "sound": "The deep, rhythmic, thundering sound of horse hooves pounding on soft earth, with dirt and grass being kicked up."
tweet
Veo-3 fast on Flow. 🐴
A hyper-realistic, first-person point-of-view shot of a person riding a horse at a powerful gallop across a vast, windswept, golden hillside towards a breathtaking sunset over a mountain range.", "camera": { "type": "First-Person POV 'Head-Cam'", "lens": "21mm Ultra-Wide Anamorphic Lens", "aperture": "f/5.6", "position": "Mounted from the rider's perspective, looking out over the horse's head towards the horizon. The view is dynamic and immersive.", "movement": "The camera has a constant, realistic, physics-based motion, jostling and swaying in perfect sync with the horse's powerful gallop. The movement feels raw and visceral, not artificially smoothed." }, "environment": { "location": "A rolling, open hillside covered in tall, golden-green grass, overlooking a wide river valley with snow-capped mountains in the far distance.", "sky": "A dramatic sunset sky filled with beautifully lit, voluminous clouds, painted in shades of orange, pink, and deep blue.", "atmosphere": "A strong wind is blowing from right to left, making the horse's mane and the tall grass ripple and flow in continuous, mesmerizing waves. A high-resolution particle simulation of pollen and small dust particles are caught in the wind, glinting in the sunlight." }, "main_subject": { "character": "The rider, seen only from a first-person perspective. A single, strong, leather-bracer-clad arm is visible on the left, hand wrapped firmly around weathered rope reins.", "horse": "A powerful chestnut-colored horse with a dark brown and white mane that whips violently and chaotically in the wind, occasionally obscuring parts of the view.", "action": "The horse is at a full, powerful gallop across the hillside, its powerful muscles flexing with each stride." }, "lighting": { "primary_source": { "type": "Setting Sun", "position": "Low on the horizon, directly ahead.", "effects": "Creates dramatic, long shadows that race alongside the horse. Causes beautiful, streaking anamorphic lens flares as the camera bobs and weaves. A strong, golden rim light catches the edge of the rider's arm and every strand of the horse's mane." }, "animation": { "character_animation": "The rider's hand subtly adjusts its grip on the reins in response to the horse's movement. The arm moves naturally and fluidly with the powerful rhythm of the gallop.", "horse_animation": "A realistic, powerful four-beat gallop cycle. The horse's muscles flex and bunch realistically under its skin. Its ears occasionally flick back and forth, reacting to the sounds of the environment.", "subtle_effects": "The tall grass realistically bends, parts, and springs back as the horse charges through it. Individual strands of the horse's mane have their own physical simulation." }, "sound": "The deep, rhythmic, thundering sound of horse hooves pounding on soft earth, with dirt and grass being kicked up."
tweet
Offshore
Video
naiive
Rest here travelers, you've checked the bitcoin price too many times today
https://t.co/kQ1T0XMe1C
tweet
Rest here travelers, you've checked the bitcoin price too many times today
https://t.co/kQ1T0XMe1C
tweet
Offshore
Video
Umesh
RT @umesh_ai: The End!
Filmmaking got a boost from nano-banana!
Another animation, now with @Hailuo_AI. https://t.co/f7Nz1uRCHq
tweet
RT @umesh_ai: The End!
Filmmaking got a boost from nano-banana!
Another animation, now with @Hailuo_AI. https://t.co/f7Nz1uRCHq
A view to dream by!
Tools used :
Image : Midjourney, nano-banana
Music : ElevenLabs
Video : @Kling_ai keyframes
Prompt for the first image ⤵️ https://t.co/X0A3QjVFh6 tweet
Offshore
Photo
Aadit Sheth
RT @sricharan10g: link to build your next app: https://t.co/QN08me4mHw
Core idea: speed comes from tightening the feedback loop, not from “one-shot” prompting.
Some practical takeaways:
• Store project context in a living doc so the agent isn’t coding blind.
• Treat the agent like a junior dev: ask for reasoning, set autonomy, review carefully.
• Keep changes diff-first so you can spot issues before they slip in.
• Fix tiny things yourself instead of wasting cycles on re-prompting.
• Document fixes and commands so the next loop runs faster.
• Always keep a human review step before shipping.
A small personal note: I’ve found that once I started editing minor logic errors myself instead of feeding them back into the agent, my velocity jumped.
Feels like the real advantage isn’t “AI writes code” but “engineers spend less energy on grunt work.”
tweet
RT @sricharan10g: link to build your next app: https://t.co/QN08me4mHw
Core idea: speed comes from tightening the feedback loop, not from “one-shot” prompting.
Some practical takeaways:
• Store project context in a living doc so the agent isn’t coding blind.
• Treat the agent like a junior dev: ask for reasoning, set autonomy, review carefully.
• Keep changes diff-first so you can spot issues before they slip in.
• Fix tiny things yourself instead of wasting cycles on re-prompting.
• Document fixes and commands so the next loop runs faster.
• Always keep a human review step before shipping.
A small personal note: I’ve found that once I started editing minor logic errors myself instead of feeding them back into the agent, my velocity jumped.
Feels like the real advantage isn’t “AI writes code” but “engineers spend less energy on grunt work.”
tweet