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Seedance 2.5 is now available in 1080p on Ima Studio. We pushed it with a full 30s sci-fi action sequence — and yeah, the giant plasma cannon definitely helps. ⚡ Prompt👇 Help me generate a video based on the reference video's nine-grid storyboard。30s, 16:9 landscape, 24fps, photorealistic live-action futuristic sci-fi action film. Bright high-budget blockbuster style, NOT dark cyberpunk. Bright readable exposure, vivid sophisticated colors, premium VFX, high-speed cinematic camera. Coral-orange, deep-pink and magenta stormy sky; luminous blue/cyan/warm-white megacity; wet asphalt with strong colorful reflections. Never dark, muddy, gray or black-dominant. Faces, motorcycle, cannon and monster always clearly visible. HEROINE: Same 23–25-year-old East Asian woman throughout. Beautiful, cool, young, fashionable, restrained live-action actress; narrow oval face, elongated dark eyes, natural features, realistic skin texture and slight asymmetry. No AI influencer/plastic/anime/game face. Calm and focused, never screaming, smiling sinisterly or posing. Waist-length STRAIGHT black hair throughout, realistic heavy Asian hair and individual strands. Hair streams backward while riding, settles naturally when stopped, wet strands occasionally stick to cheeks. Never short, curly, wavy, tied or recolored. OUTFIT: black cropped futuristic biker leather jacket with minimal titanium-silver shoulder/forearm details, dark fitted inner top, black high-waisted biker pants, platform biker boots, fingerless gloves. Slim high-fashion futuristic biker silhouette, no full-body armor. MOTORCYCLE: same original titanium-silver + matte-black futuristic heavy motorcycle throughout, brushed titanium streamlined body, black chassis, large realistic tires, thin ice-blue wheel energy rings, horizontal white LED headlight, realistic suspension. Never red, hovering or changing design. WEAPON: heroine’s ONLY weapon is an original Oversized Shoulder-Mounted Rail Plasma Cannon. Deployed length about 1.7m, dramatically oversized against her slim body. Matte gunmetal + titanium silver industrial body, heavy rear energy module, two parallel electromagnetic rails with an open central channel containing cyan-white electricity, mechanical hydraulics, heat sinks and small energy lights. Not a real firearm, rifle, RPG or rocket launcher. No melee weapons. The cannon normally folds to about 80cm and is mounted on the motorcycle’s right side. Deployment must be visibly mechanical, NOT instant transformation: rear energy module opens → shoulder support rotates → twin electromagnetic rails extend section by section → side heat sinks open → cyan circuits illuminate → components mechanically lock into a 1.7m cannon. She mounts it on her RIGHT shoulder, right hand on rear control grip, left hand supporting underneath, feet apart, body slightly forward. Cannon energy: electric cyan + pale turquoise + brilliant white core. During charging, energy lights activate sequentially and cyan electricity travels along the rails toward a brilliant white point at the muzzle, illuminating her face, black hair and wet street. ENEMY: same original 4–5m giant six-legged mechanical mantis throughout. Six long mechanical legs, two giant scythe forelimbs, gunmetal/black titanium armor, exposed joints, hydraulics and cables, orange-red sensors. Chest contains a unique HEXAGONAL HONEYCOMB ENERGY CORE: multiple orange-red hexagonal cells behind semi-transparent armor. Never wolf, dragon, humanoid robot or circular core. 0–4s: Immediate high-speed action. Wet futuristic boulevard beneath bright coral-orange/pink storm clouds. Blue, cyan, yellow and white city lights reflect across the road. Heroine races directly toward camera on titanium motorcycle. Ultra-low camera rapidly tracks backward. Bright headlight, spinning ice-blue wheel rings, water spray, waist-length straight black hair streaming backward. 4–7s: Low side tracking Hero Shot. Show full motorcycle. Rear tire slices through water, titanium body reflects orange sky and blue city. Heroine leans forward naturally. Camera races from rear wheel toward her profile while background becomes horizontal speed blur. 7–9s: 50mm live-action close-up while riding. Rain crosses her correctly exposed face; a few wet black strands stick to cheeks. Colored city lights streak behind. A massive metallic impact is heard. Her eyes sharply move upward. Cut. 9–12s: Giant mechanical mantis hangs upside down beneath an elevated steel bridge, clearly silhouetted against orange-red sky. Orange sensors activate. Six legs release sequentially and it drops onto the wet road with huge water splash and camera shake. Giant scythes rise. 12–14s: Mechanical macro shot, no heroine. Chest armor opens to reveal orange-red hexagonal honeycomb energy cells. Cells illuminate sequentially until the whole core glows intensely. Scythes deploy. 14–17s: Heroine reaches an open elevated roadway and brakes quickly but normally, no drift. Left foot down, dismounts naturally. Long straight hair swings once from inertia then settles. She walks to motorcycle’s right side, grabs the folded cannon and removes it with a mechanical CLICK. Camera pushes in. 17–20s: CORE VISUAL CLIMAX: weapon unfolds clearly section by section. Rear energy module deploys, shoulder support rotates, first electromagnetic rail extends, second extends, heat sinks open like mechanical wings, cyan internal circuits activate. The 80cm unit becomes a 1.7m heavy cannon with visible mechanical locking: CLACK—CLACK—VMMMM. No magical morphing. She lifts it onto her right shoulder. 20–23s: MOST IMPORTANT HERO SHOT. Medium-wide low-angle shot. Heroine stands on wet road with enormous cannon on right shoulder, titanium motorcycle behind, orange-pink sky and luminous city beyond. Cannon muzzle dominates left foreground while heroine remains clearly visible behind it. Waist-length straight black hair falls naturally with light wind. Cannon charges: section 1 lights → section 2 → section 3 → cyan pulse races toward muzzle → brilliant white energy point forms. Cyan-white light illuminates half her face and hair. She calmly narrows her eyes at the distant mantis. 23–25s: Mantis charges toward her from a clear distance. Six mechanical legs smash through water, giant scythes fully open, orange-red honeycomb core reaches maximum brightness. Ultra-low camera rapidly tracks backward. No close combat. 25–27s: Cannon reaches maximum charge. Energy field pushes rain outward; heroine lowers her body and stabilizes, hair blown backward. 0.2s silence. She fires ONE massive concentrated cyan-white electromagnetic plasma beam, NOT bullet/missile. Brief brilliant exposure flash and strong camera recoil. She shifts only half a step backward and remains stable. Beam cuts through rain, vaporizing water into a bright steam corridor. 27–29s: Beam strikes mantis directly in honeycomb chest core. NO giant fireball. Hexagonal cells overload sequentially from orange-red to brilliant cyan-white. Electrical arcs spread internally, legs lose control, scythes fall, armor opens under internal energy pressure. Mantis loses power and crashes onto wet asphalt with a massive water splash. 29–30s: Low-angle ending. Heroine remains shoulder-carrying cannon; disabled mantis lies in distance. White steam vents from muzzle, heat sinks open and cyan lights shut off one by one. She slowly lowers cannon. Straight black hair settles behind her shoulder. She coldly watches the dead machine. Camera rapidly pushes into her eyes. CUT TO BLACK. No text. RHYTHM: one visual focus per shot. Cannon sequence must remain retrieve → mechanical unfold → shoulder → charge → fire → cool. No complicated fighting, flips, jumping attacks, melee, running with cannon or heroine/monster entanglement. COLOR LOCK: black-haired heroine + titanium silver/black motorcycle + gunmetal/titanium cannon + cyan-white energy + gunmetal mantis + orange-red honeycomb core + coral-orange/pink sky + blue/cyan city. Cyan-white cannon energy is the brightest element in the second half. Heroine’s face always correctly exposed. QUALITY: photorealistic real Asian actress, natural skin, realistic straight wet hair, titanium metal, realistic mechanical joints, physically accurate rain/water, bright HDR cinematography, premium blockbuster VFX, realistic motion blur, subtle film grain. STRICT NO: dark/underexposed frames, black-heavy cyberpunk, swords, lightsabers, spears, rifles, firearms, RPGs, rocket launchers, second weapons, random cannon morphing/size changes, extra limbs, fused hands, weapon/body intersection, mechanical wolf/dragon/humanoid robot, giant fireballs, heavy black smoke, heroine face changes, short/curly/wavy/tied hair, subtitles, logos, text, watermarks. CORE VISUAL MEMORY: a cool photorealistic East Asian woman with waist-length straight black hair races through a bright orange-pink rainy future city on a titanium motorcycle, stops, removes a folded giant cannon from the bike, mechanically unfolds it, shoulders it, charges brilliant cyan-white energy and destroys a distant six-legged mechanical mantis by piercing its orange-red honeycomb core with ONE massive plasma shot. Priority: SPEED + HEROINE PRESENCE + GIANT CANNON SCALE + MECHANICAL DEPLOYMENT + ENERGY CHARGING + ONE-SHOT IMPACT. Try Seedance 2.5 in 1080p: #Seedance25# #AIVideo# #1080p# #AIFilmmaking# #GenerativeAI#
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Vuetify MCP can now walk a Vuetify 2 app to 3.13. Add and ask your agent to scan for 2 → 3 breaking changes.
$80,000 leaderboard. 300 winners. 🥇 Top 1 → $10,000 🥈 Top 2 → $5,000 🥉 Top 3 → $3,000 …down to Top 201–300, $100 each. 20-day cumulative volume. Every day counts →
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GROK 4.7 LAUNCHES WITH MAJOR GAINS IN LONG-HORIZON CODING, KNOWLEDGE WORK & MULTI-HOUR TASKS Compared with Grok 4.6: • CursorBench: 40.4% → 46.3% • Terminal-Bench: 20.3% → 38.0% • EEBench: 53.0% → 64.0% • HealthBench Pro: 48.5% → 56.7% • DeepSWE: 65.2% → 71.0% Pricing stays at $2/M input tokens and $6/M output tokens. SpaceXAI says 4.7 is also better at verifying its own work, managing longer context, and working natively with the Grok Bot agent harness. It is available today through Grok Build, Cursor, the Grok API and other model platforms.
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Announcing Artificial Analysis Intelligence Index v4.3, upgrading Terminal-Bench to 4.0 and adding AutomationBench-AA, an agentic workflow automation benchmark with a private test set. This is a continuation of our rollout of Intelligence Index v5 Changelog (Index v4.2 → Index v4.3): ➤ Terminal-Bench: 2.1 → 4.0, completing our upgrade to the latest version of Terminal-Bench ➤ Replacing 𝜏³-Banking with AutomationBench-AA, our implementation of Zapier's business workflow automation benchmark We are continuing to prioritize keeping Intelligence Index as useful as possible by bringing forward a subset of the changes we had planned for Index v5. Each change in v4.2 and v4.3 stands on its own merits and brings the Index closer to real-world problem solving, adds more private test sets to prevent gaming, and reduces saturation Intelligence Index v4.3 raises the difficulty of agentic coding tasks and broadens the types of agentic workflows tested. Because we use a held-out test set for AutomationBench-AA, in collaboration with @zapier, the weight assigned to evaluations with private tasks or answers increases from 40% to 45%. Category weights are unchanged from v4.2: Agents 30%, Coding 20%, General 30%, Scientific Reasoning 20% Detailed changes: ➤ Upgraded Terminal-Bench 2.1 to 4.0: 66 multi-step tasks testing agents on tasks run in agent sandboxes driven via the terminal, including tasks involving software engineering, machine learning, science, and operations. The 4.0 update recalibrates compute and time allowances, and improves task instructions and verification. We have changed from the Terminus 2 harness to mini-SWE-agent, a minimal, model-agnostic harness. We will also be updating our Coding Agent Index, where we test model and harness pairs, to include Terminal-Bench 4.0 soon ➤ Replaced 𝜏³-Banking with AutomationBench-AA: Our implementation of Zapier’s AutomationBench tests agents on 657 business workflows across simulated applications such as Gmail, Slack, Salesforce, and Jira. Agents must complete task objectives while following business rules. AutomationBench-AA uses Zapier’s private set of 657 tasks, and is built on v1.0.6 Key results: ➤ Claude Fable 5.1 and GPT-6 Astra lead the Intelligence Index: Both Claude Fable 5.1 (max with fallback) and GPT-6 Astra (max) score 53 on Intelligence Index v4.3, followed by Claude Opus 5 (max, 51), Claude Fable 5 (with fallback, 50), Muse Spark 1.3 (max, 48) and GPT-5.6 Sol (max, 47) ➤ GLM-5.3 and Kimi K3 continue to lead open weights models (both at 44): GLM-5.3-Flash (42) is the third strongest open weights model, followed by Qwen3.8 2.4T A95B (40) and DeepSeek V4 Pro 0813 (max, 36) ➤ 4 labs occupy the Intelligence vs. Cost per Task Pareto frontier: OpenAI occupies the majority of the cost-efficiency frontier, with all five reasoning efforts of the recently released GPT-6 Astra offering the lowest Cost per Task at their respective levels of intelligence. Claude Fable 5.1 (xhigh, max, 53), GLM-5.3-Flash (42) and MiMo-V2.5-Pro (26) round out the rest of the frontier
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Happy Labour Day 🎉! Here is a Macroeconomics 101 from Dataline. Trump: oil at $70 → bomb Iran. Oil at $90 → TACO. Bessent: 30Y Treasury hits 5.2% → start talking. Warsh: rate hike odds at 30% → hawk mode. At 70% → full Alibaba shopping cart. Independent yet predictable. Somehow this is how global markets are priced. 🙃 Use Dataline to monitor them all. 👀
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Someone independently benchmarked 8 different Qwen3.8-27B uncensored/abliterated models. We won. 🐳 Abliterlitics spent ~167 GPU-hours testing the variants across weight forensics, KL divergence, 13 capability benchmarks + 400 HarmBench behaviors. OrcaRouter Qwen3.8-27B-Uncensored: → #1# Judge ASR: 82.2% → Base model: 4.5% → MMLU-Pro: −0.0pp → IFEval: +0.4pp → 4/4 of our model-card claims independently verified Their verdict: “The winner.” The interesting part isn't just removing refusals. It's removing them without destroying the intelligence underneath. Independent analysis: Weights:
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Just sitting and reflecting on this GPT-6 Astra graph. GPT-6 Astra set a new SOTA on ARC-AGI. 🧩 ARC-AGI-1 → 98.5% 🧠 ARC-AGI-2 → 95.0% 🤖 ARC-AGI-3 → 99.95% But the ARC-AGI-3 result has a weird twist. ARC-AGI-3 drops Astra into a completely NEW interactive environment with no instructions. It has to ... 👀 explore 🧠 figure out the rules 🗺️ build a world model 📌 remember what it learned 🎯 develop a strategy 🔄 adapt when it's wrong ARC tested ~500 humans to establish how efficiently people solve these environments. GPT-6 Astra with ARC's standard agent harness: 62.7% Astra using the new Provider Adapter that preserves reasoning state between requests + compacts it: 99.95% 🤯 Give a powerful model a persistent working state + good compaction, and suddenly the same intelligence can behave VERY differently over a long task. That's going to matter for Local AI too.
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🚨 BREAKING 🇺🇸 THE U.S. WILL OFFICIALLY RELEASE NEW INFLATION DATA TODAY AT 8:30 AM ET! IF PCE > 3.4% → MARKET DUMPS HARD IF PCE = 3.2–3.3% → MARKET STAYS FLAT IF PCE < 3.2% → MARKET GOES PARABOLIC ALL EYES ON THE RELEASE 👀
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Let me give you a challenge. You don’t have to do much—just think of any number. If it’s even, divide it by 2. If it’s odd, apply the rule 3𝑛 + 1, where 𝑛 is the number you chose. Then take the result and repeat the same process again. If you keep doing these calculations, you’ll eventually notice that the sequence always ends at 1. And if you continue further, the numbers 4 → 2 → 1 will repeat over and over again. Now here’s the challenge: try this with as many numbers as you can think of. If you ever find a number that does not end in the 4 → 2 → 1 cycle, congratulations—you’ve just solved an 88-year-old mathematical mystery. Yes, mathematicians have tested trillions of numbers over the past 88 years, and so far, not a single number has been found that avoids ending in the 4 → 2 → 1 sequence. This is known as the 3𝑛 + 1 problem (Collatz conjecture).
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