与「DWgifting」相关的搜索结果

100 AI Directing Techniques - Epic Sci-Fi Prompts 01 Monumental Scale Colossal celestial body · Tiny human figure · Extreme wide shot · Scale contrast · Architectural framing 02 Colossal Ruins Monumental ruins · Tiny human figure · Barren negative space · Volumetric dust · Atmospheric perspective 03 Extreme Close-up Profile silhouette · Rim light · Visor reflections · Lens bloom · Optical flare 04 Practical Destruction Practical explosion · Layered smoke · Strong backlight · Drifting embers · Foreground-to-background depth 05 Impossible Geometry Anti-gravity space · Folded architecture · Tilted horizon · Extreme depth · Scale contrast 06 Volumetric Light Central symmetry · Single overhead light · Volumetric beam · Monumental scale · Deep negative space 07 Futuristic Isolation Architectural framing · Tiny human figure · High-altitude view · Cool-warm contrast · Atmospheric perspective 08 Cosmic Metropolis Curved leading lines · Layered haze · Tiny human scale · Golden particles · Wet reflections Use official invite code VIDUAIGUST4 to get 200 free credits, and become a director yourself.

Thoughts About Scaling Law Scaling, but not only of parameters. Every model release now ends with the same question: how many parameters? It isn't a question that can be answered on its own. Parameter count is only meaningful alongside three others — how much data you have, where you intend to spend your compute, and who will run the model, under what conditions. The field learned this the hard way. Kaplan et al. (2020) fit an exponent that told everyone to grow parameters faster than data — roughly 2.7:1 — and the industry complied: GPT-3, Gopher, MT-NLG. Hoffmann et al. (2022) redid the experiment across four hundred models and found the compute-optimal split is closer to 20 tokens per parameter, and that with sufficient compute the two should grow at the same rate rather than drifting apart. The error in the earlier fit compounded with every order of magnitude of compute, which is why the largest models of that generation were the most misallocated. The trillion-parameter round was, in retrospect, a detour the whole field took together and then reversed. Chinchilla wasn't the end either. It optimized training compute for models that would be trained once and evaluated. Today a model is called billions of times a day and inference dominates lifetime cost. Put inference into the objective and the optimum moves toward smaller models trained far longer — deliberate over-training, which is what Llama-2-7B and Gemma-2-9B were doing at roughly 290 and 889 tokens per parameter. Sparsity moved the target again. In a MoE model two quantities have to be kept apart: total parameters govern roughly how much the model can hold — knowledge, facts, the long tail — while activated parameters and effective depth govern roughly how far it can think, how many steps of a causal chain it can carry before it comes apart. A dense 20:1 ratio does not transfer. And the ratio isn't a single number at all: Roberts et al. (2025) find the optimal tokens-per-parameter is task-dependent, with memorization favoring more parameters and reasoning favoring more data. Follow-up work on MoE observes that at fixed TPP, pushing total parameters higher actually degrades reasoning, while activating more experts reliably helps it. This matters for what we are building toward. Finding a vulnerability is not a retrieval problem. It doesn't come from having memorized more CVEs; it comes from carrying a twenty-step chain of inference to the end without losing the thread. That capability does not live in total parameter count. Which brings us to this release. Total parameters appear to matter up to a threshold — enough to hold the world — after which additional capability comes from scaling elsewhere: effective depth per forward pass, and above all post-training. GLM-5.3 is our controlled experiment on that claim. Same base, same architecture, same total and activated parameters as GLM-5.2. One month of scaling long-horizon environments and RL. The gains are not marginal. Well, scaling has more than one dial. We turned the post-training one this time because it had the most slack left in it — not because the others are finished. Base model size, pretraining data, compute spent per forward pass: all of them are still on the table, and we will come back to each. What this experiment taught us is that the dials do not have to be turned together, and that the one worth turning next is rarely the one that was worth turning last. We are not done scaling. Next time, maybe mid-training, pre-training, and even more.

Videos like this get millions of views — and I’m giving you the exact prompt for free. Seedance 2.0 Prompt: 【Style】Epic Zodiac Clash, Live-Action VFX, Infernal Force vs Sacred Judgment, Gritty Battle-Worn Visual Quality, High-Speed Photography, Realistic Physical Destruction, Premium Fantasy Blockbuster. 【Duration】15 seconds 【Scene】A colossal ruined tribunal arena split between two powers. On the left, a scorched battlefield corridor of shattered iron, burning horned gates, cracked red stone, drifting embers, and impact craters. On the right, a sacred marble court with fractured pillars, floating scale fragments, luminous white floor sigils, suspended dust, and pale divine light. In the center, a broken judgment platform where red infernal force and silver-white sacred law collide. 【Characters (Humanized Description)】 Aries Champion: A brutal crimson warlord in black-red armor with broken horn motifs, broad shoulders, and a violent forward-driving presence. His armor glows through cracked magma-red seams, and he fights with a heavy Ram Breaker, a short brutal horned battering weapon of black metal, molten red fractures, and crushing close-range force. Libra Champion: A calm sacred judge-warrior in silver-white ceremonial armor with symmetrical scale motifs, flowing pale fabric elements, and a cold expression of absolute control. Faint golden-white law sigils orbit around his body. He fights with a Balance Blade, a long elegant double-edged sword of white metal and luminous gold lines, perfectly symmetrical, precise, and severe. [00:00-00:05] Shot 1: Zodiac Awakening and Hero Introduction. Wide-angle / cinematic reveal shots. 【Aries Side】The camera opens on the Aries Champion standing inside a corridor of burning horned gates. He crushes a tiny glowing zodiac orb in his hand, the Aries symbol burning inside it. A violent red shock runs through his arm and instantly forges the Ram Breaker. Behind him, shattered iron gates slam open one after another, embers blasting through the air, and the cracked red stone floor fractures outward under raw impact pressure. 【Libra Side】The camera cuts to the Libra Champion standing in the sacred court. He crushes a tiny glowing zodiac orb in his hand, the Libra symbol shining inside. Rings of pale golden law-light unfold around his arm and instantly forge the Balance Blade. Behind him, the tribunal floor ignites with giant symmetrical scale sigils, and broken marble fragments slowly rise and hold in perfect balance in the air. [00:05-00:10] Shot 2: Fast Zodiac Close-Range Combat. Rapid action cuts, tight readable impacts. 【Action Design】Aries attacks first with brutal head-on force, driving forward with crushing short-range swings of the Ram Breaker. Libra remains composed, redirecting the attacks with precise sword angles, sliding parries, and severe counter-cuts. They exchange two to three clean close-range clashes. Aries uses explosive body-weight blows; Libra answers with balanced exactness and punishing timing. 【Physical Feedback】Each collision between Ram Breaker and Balance Blade creates violent impact feedback: sparks, red shock fractures in the floor, silver-white law flashes, shattered marble dust, and short pressure bursts ripping through the arena. Aries cracks stone with every hit; Libra’s counters slice through debris and freeze the momentum of the fight with impossible precision. [00:10-00:15] Shot 3: Ultimate Release and Final Winner Reveal. Extreme long shot / catastrophic judgment collision. 【Aries Ultimate】The Aries Champion slams the Ram Breaker into the ground and opens a corridor of colossal burning horn gates behind him. Through them surges a gigantic Infernal Ram Force, a compressed battering mass of horned red-black energy, fire, shattered iron, and unstoppable forward pressure, charging in a straight line to obliterate everything ahead. 【Libra Ultimate】The Libra Champion raises the Balance Blade and summons a massive Celestial Judgment Scale above the battlefield, a giant radiant structure of white-gold law, floating in the sky like a divine execution device. Two enormous luminous balance arms extend outward, and a colossal vertical judgment blade of pure law-light forms at the center. 【Clash】The Infernal Ram Force charges directly into the tribunal center, but the Celestial Judgment Scale activates first. Time seems to lock for one split second. The scale tilts, then snaps into perfect equilibrium, pinning the red force in place. The central judgment blade descends with overwhelming precision and splits through the Infernal Ram Force and the Aries Champion’s entire attack line. The battlefield erupts in a massive cross-shaped burst of red embers, white-gold law light, shattered iron, and broken stone. 【Ending】Libra wins. As the destruction clears, the horn-gate corridor has completely collapsed into burning debris. The Aries Champion is defeated and erased beneath the judgment impact. The Libra Champion remains standing alone at the center of the tribunal platform, sword lowered, surrounded by floating fragments of balanced marble and fading golden scale-light. The final frame holds on Libra as the victorious sign of absolute judgment. 【Audio】No dialogue. Quiet epic background music with a slow cinematic rise, restrained sacred choir texture, low percussion, and a victorious divine finish. Sound design emphasizes iron gate impacts, battering force, blade collisions, sacred law resonances, marble shattering, pressure bursts, and the final overwhelming judgment strike. #Seedance2# #AiVideo#

This looks like a $20K Porsche commercial. Workflow: 1. Upload the storyboard to Seedance 2.0 2. Paste the prompt below 3. Generate the video Full prompt 👇 Reference image is locked. Keep the exact yellow Maisto Porsche 911 GT2 RS proportions, body kit, headlights, rear wing, wheels, paint color and all design details consistent throughout the entire sequence. Ultra photorealistic miniature die-cast car with realistic materials and reflections. Premium automotive commercial, Hollywood cinematography, HDR, volumetric lighting, ray tracing, motion blur, speed ramp, hyperlapse, macro cinematography, seamless match cuts, whip pans, crash zooms, orbit camera, FPV chase camera, drone shots, extremely dynamic editing, 8K. 00:00-00:01 — The yellow Maisto Porsche 911 GT2 RS suddenly falls vertically from the sky into the center of a modern city street. Low-angle camera looking upward. Speed ramp during the fall. The car lands perfectly on all four wheels. Massive impact. Asphalt explodes and cracks outward. Dust, debris and small stones fly everywhere. Camera shakes violently. 00:01-00:02 — Extreme close-up. Engine instantly comes alive. Exhaust explodes with flames. Dashboard lights illuminate. Tachometer needle violently jumps to redline. Ultra macro mechanical details. Fast crash zooms between ignition button, tachometer, exhaust flames and engine vibration. 00:02-00:03 — Camera rapidly pulls backward while orbiting the car 180°. Tires begin spinning. Smoke fills the street. Sparks under tires. Suspension compresses. Engine revs aggressively. 00:03-00:04 — Instant launch. Full acceleration. FPV camera flies inches above the asphalt directly in front of the car. Heavy motion blur. Speed ramp transition. 00:04-00:05 — Ultra low side tracking shot. Wheels spinning at extreme speed. Brake discs glowing. Sparks from asphalt. Macro suspension movement. 00:05-00:06 — Front bumper close-up. Camera only centimeters above the road. Air rushes around splitter. Strong motion blur. Dynamic reflections. 00:06-00:07 — Drone chase. High-speed highway. Camera dives from above directly behind the vehicle. Hyperlapse feeling. 00:07-00:08 — Desert transition through seamless speed ramp. High-speed drift across sand dunes. Massive dust tornado behind the car. Camera circles 360° while drifting. 00:08-00:09 — Ultra macro wheel shot. Sand exploding from rotating tires. Flying rocks. Suspension travel. Slow-motion micro moment followed by instant acceleration. 00:09-00:10 — Snow transition through motion blur. High-speed mountain road. Snow explodes from tires. Controlled drift through icy corner. FPV chase. 00:10-00:11 — Front three-quarter tracking shot. Camera rotates around the moving car while maintaining identical speed. Snow particles hitting the lens. Dramatic lighting. 00:11-00:12 — Tunnel sequence. Speed ramp. Rapid whip pans between headlights, rear wing, spinning wheels, exhaust flames and side mirrors. Neon reflections. 00:12-00:13 — Extreme macro montage. Carbon fiber texture. Headlight LEDs. Porsche badge. Rear diffuser. Exhaust flames. Brake calipers. Rotating wheel center lock. Every shot lasts only a fraction of a second with seamless match cuts. 00:13-00:14 — Mountain highway at sunset. Drone flies underneath the car during a jump, then instantly moves above it. Cinematic FPV dive. Massive sense of speed. 00:14-00:15 — Final hero shot. Camera pulls far away while orbiting 360°. The yellow Maisto Porsche 911 GT2 RS accelerates toward the horizon at maximum speed. Long cinematic road, glowing sunset, heat haze, dramatic reflections, realistic tire smoke, premium automotive commercial ending, fade to black. Seedance 2.0 - #Seedance2#

Agencies charge $2,000/mo for AI ad creative. Higgsfield + draft mode discipline = $29. The full 32-minute build, chaptered: 0:00 — Intro: the sister-trap premise and the storm-at-sea kill 4:28 — Stage 1: the script Claude actually writes for you 5:24 — Stage 2: the asset factory inside Cinema Studio 10:36 — The naming trick that saves 400 wasted generations 11:25 — Stage 3: the pirate cabin, shot by shot 14:01 — The talking parrot fix that made the scene alive 15:41 — Directing a cannonball through a sea battle 18:01 — The ship blast that transitions into the desert 18:46 — Full pirate scene playback: wet-deck fall into the ocean transition 19:45 — Desert scene: ostrich riders and dust transitions 30:00 — Full jungle sequence playback 31:30 — The twist ending that reframes the whole film The frame this post opens with (agencies at $2,000/mo for AI ad creative, a $29 stack on the other side) is the pitch. What Adil actually shows is one operator building a 32-minute cinematic short across three settings, solo, in Krea Cinema Studio with Claude writing every prompt. The whole build is on screen, timestamp by timestamp. The turn comes at 10:36. He names every asset, tags them the same in Krea Cinema Studio and Claude, and the scene generator auto-matches inputs by those tags. That's why the pirate captain keeps the same face 20 minutes later. Skip this step and you burn 400 generations wondering why the model keeps drifting. At 17:19 he stops typing and draws. He sketches where the cannonball lands and where the crew stands, then feeds the picture to Claude. One drawing beats ten sentences. Every failed batch you avoid is credits back in your pocket. The whole thing runs on draft-first discipline. Batch cheap in low-res, iterate the prompt in Claude, commit to 4K once. That's how one person out-produces the retainer. He did it alone. In Krea. With Claude.

宇宙を泳ぐ🌌🐬 果てしない星の海へ、 夢をのせてどこまでも✨ Swimming Through the Universe. 🌌🐬 Drifting across an endless sea of stars, carried by dreams. ✨

china is not slowing down and this one is insane.. Chinese researchers just open-sourced SLAM3R, it rebuilds a full 3D scene from a single regular video, in real time. no LiDAR, no depth sensor, no camera rig. one phone-grade video in, a 3D world out. > runs at 20+ FPS on a single GPU > monocular RGB, just walk around filming > feedforward neural net, no slow pose-optimization step > beats optimization-based methods on reconstruction benchmarks > handles long walkthroughs without drifting apart what makes this work: older methods solve for camera position frame by frame, which is why they're slow. SLAM3R skips that and regresses the 3D geometry directly. that's how it hits real time. 100% free and open source:

Elon Musk reveals the environmentalist viewpoint he says has become total madness "There are 8 billion people on Earth and it would be better if there were none. I'm like, 'hey buddy, you can start with yourself. See if you really want to make a difference'" "That's like a crazy viewpoint. That's like literally saying, let's genocide humanity. How can you say that with a straight face? That sounds like total madness" "In the limit of environmentalism, it becomes like an ingrown toenail. A toenail's fine, but not if it's warped and ingrown. It's just gone too far" "Humanity is not a blight on the face of the Earth" "Even with climate change, life on Earth will still continue. The calamities Earth has suffered where life continued, gigantic meteorite impacts, super volcanoes, continents drifting all over the place" "There've been times in Earth's past where it's been like a total snowball or absolutely sweltering hot. We had many extinction events, but life continued" "We don't see the dinosaurs now, but they had a good run for 100 plus million years" "Even if there's catastrophic climate change, life continues. It just may not be life as we know it. It may not be humans, it'll be something else" "What we're talking about with climate change is not a threat to all life on Earth, but really maybe a threat to humans, a dislocation if low-lying countries end up underwater" "Over time we need to move to a sustainable energy economy. We can't just keep taking billions of tons of carbon from deep underground and putting it in the atmosphere and expect nothing will happen forever" "But we also don't need to be alarmist about it and super negative and massively disrupt people's lifestyles" "People can continue to live a normal life. They shouldn't feel guilty about being human or having a stake. It's fine"