OpenAI Sora 2 Major Launch
In October 2025, OpenAI unveiled Sora 2 advanced video generation model at annual DevDay developer conference, marking a major upgrade since February 2024’s first Sora prototype demonstration. Sora 2 generates up to 60-second high-quality videos at resolutions up to 4K, featuring authentic physical law simulation, nuanced lighting effects, coherent character performance, and complex scene understanding capabilities, signaling AI video generation technology entering practical commercialization phase. OpenAI CEO Sam Altman stated in DevDay keynote: “Sora 2 isn’t just a technical demo, but a productivity tool genuinely transforming content creation methods, enabling everyone to become film directors.” Simultaneously announced ChatGPT weekly active users reached 800 million, up 100 million from September’s 700 million, demonstrating explosive AI application growth. Apps SDK developer kit launch transforms ChatGPT into platform ecosystem, enabling developers to build commercial applications, opening AI app store era.
Sora 2 Technical Breakthroughs
60-Second Long Video Generation
Temporal Coherence Challenge: AI video generation’s greatest challenge is maintaining long temporal coherence. Early models (like Runway Gen-2, Pika 1.0) only generated 4-16 second videos, with character appearances, scene layouts, object positions drifting, deforming, disappearing over time, unable to tell complete stories. Sora 1 prototype could generate 60-second videos but lacked stability.
Sora 2 Architecture Innovation: Sora 2 employs improved Diffusion Transformer architecture, integrating spatiotemporal attention mechanisms and memory modules, tracking all object, character, background element states within videos, ensuring visual coherence across 60 seconds. Training data encompasses millions of hours of high-quality video (films, documentaries, games, YouTube), learning real-world dynamic patterns.
Multi-Resolution Generation: Supports multiple resolutions and aspect ratios (16:9, 9:16, 1:1, 21:9 cinematic widescreen), maximum 4K (3840×2160 pixels) output, meeting diverse platform needs (YouTube horizontal, TikTok vertical, Instagram square).
Frame Rate and Fluidity: Generated video frame rates adjustable 24-60 fps, smooth natural motion without stuttering or dropped frames, motion blur and depth of field effects photorealistic, approaching professional camera capture quality.
Authentic Physical Law Simulation
Gravity and Inertia: Sora 2 understands and simulates Newtonian motion laws; thrown objects follow parabolic trajectories, falling acceleration conforms to gravity, collisions produce rebounds and deformations. Liquid flow follows fluid mechanics (like water splashes, wave undulations), smoke diffusion conforms to diffusion equations.
Rigid and Soft Body Dynamics: Rigid bodies (like metal boxes, stones) maintain shape upon collision, soft bodies (like cloth, rubber) produce bending, stretching, wrinkles. Sora 2 incorporates simplified physics engines, calculating object interaction results, avoiding physical violations (like object penetration, spontaneous disappearance, energy conservation violations).
Ray Tracing Effects: Simulates light refraction, reflection, scattering, shadows, global illumination; water-filled glass produces refractive distortions, metal surfaces reflect environments, sunlight through leaves forms dappled light and shadow, dramatically enhancing visual realism.
Materials and Textures: Different materials (wood, metal, cloth, skin, water, glass) accurately rendered in appearance and optical properties; wood rough textures, metal mirror highlights, cloth soft folds, skin subsurface scattering delicately presented.
Nuanced Lighting and Color
Cinematic Lighting: Sora 2 learns film cinematography lighting aesthetics, understanding three-point lighting (key light, fill light, back light), golden hour warm tones, blue hour cool tones, indoor artificial light source (tungsten, fluorescent, LED) color temperature differences.
Dynamic Range and Exposure: Supports HDR (High Dynamic Range) imaging, preserving detail in bright and dark areas, avoiding overexposure or underexposure. Automatically adjusts exposure adapting to scene lighting changes (like indoor to outdoor, sunrise to noon), simulating human eye or camera exposure adjustment processes.
Color Grading: Can specify video styles (like cyberpunk neon, vintage film faded, black and white, Wes Anderson color palettes), Sora 2 automatically applies color grading, creating specific moods and atmospheres.
Lens Flare and Aberrations: Simulates real lens optical characteristics; bright light sources produce lens flares, starbursts, ghosts; wide-angle lens edge barrel distortion, enhancing photographic realism.
Coherent Character Performance
Character Identity Maintenance: Sora 2 maintains character appearance consistency across 60-second videos (facial features, hairstyles, clothing, body proportions), solving early model character “face-swapping” or “morphing” issues. Through character embedding technology, model memorizes character visual features, ensuring correct rendering in every frame.
Natural Expressions and Actions: Generates nuanced human expressions (smiles, frowns, surprise, sadness), dynamic eye movements (eyeball rotation, blinking, gaze tracking), rich body language (gestures, walking postures, body tilts), conforming to emotions and contexts, avoiding uncanny valley stiffness.
Multi-Character Interactions: Supports multiple characters appearing and interacting simultaneously (dialogue, handshakes, hugs, combat), understanding social behavior norms, character gaze focus, body orientation, spatial distances reasonable, interaction actions coherent and coordinated.
Clothing and Hair Physics: Clothing sways and wrinkles with body motion, hair affected by gravity and inertia sways, simulating cloth and hair physics, enhancing character realism.
Complex Scene Understanding
Semantic Understanding: Sora 2 not only generates visual imagery but understands scene semantics. Input prompt “café interior, woman reading book, rain outside window”, model comprehends café environment (tables, chairs, bar counter, coffee machine), woman’s actions (page turning, drinking coffee), weather effects (window raindrops, street puddles, pedestrians with umbrellas) comprehensively presented.
3D Spatial Reasoning: Understands scene three-dimensional spatial structure; camera movements (dolly, pan, orbit) produce parallax between background and foreground, object occlusion relationships correct (near objects occlude distant), perspective laws conform to geometric optics (parallel lines converge at vanishing point).
Cinematic Language: Supports film cinematography technique commands, like “close-up” focusing facial details, “wide shot” showing environment panorama, “tracking shot” camera following moving subject, “montage” rapidly switching scenes, endowing creators with cinematic narrative tools.
Scene Transitions: Can generate scene transitions (like indoor to outdoor, day to night, city to countryside), transitions natural and smooth, without abrupt cuts, supporting fade in/out, dissolve, wipe transition effects.
DevDay Major Announcements
ChatGPT 800 Million Weekly Active Users
User Growth Milestone: OpenAI CEO Sam Altman announced at DevDay ChatGPT weekly active users (WAU) reached 800 million, up 100 million from September 2025’s 700 million, monthly growth rate approximately 14%, demonstrating explosive AI application expansion.
Historical Growth Trajectory:
- December 2022 Launch: First month users exceeded 1 million, fastest achievement in history
- January 2023: Users exceeded 100 million, becoming fastest-growing consumer application in history
- Early 2024: Weekly active users approximately 200 million
- Mid-2024: Weekly active users approximately 400-500 million
- September 2025: 700 million weekly active users
- October 2025: 800 million weekly active users
Platform Comparisons:
- Facebook: Approximately 3 billion monthly active users (MAU), weekly active approximately 2.5 billion
- YouTube: Approximately 2.5 billion MAU
- Instagram: Approximately 2 billion MAU
- TikTok: Approximately 1.5 billion MAU
- ChatGPT: 800 million WAU (converted to MAU possibly exceeding 1 billion)
ChatGPT became fastest application in history reaching 1 billion user level, surpassing Facebook (54 months), Instagram (30 months), TikTok (18 months), ChatGPT achieved in approximately 24 months.
User Composition: Individual users (writing, learning, entertainment), enterprise users (customer service, data analysis, programming assistance), educational institutions, developers, spanning age groups and professions, AI becoming daily life infrastructure.
Revenue Impact: Assuming 10% users subscribe to ChatGPT Plus ($20/month) or ChatGPT Team/Enterprise ($25-60/user/month), annualized revenue could exceed $19.2 billion, surpassing most SaaS software companies, driving OpenAI valuation beyond $150 billion (2025 valuation, up 67% from 2024’s $90 billion).
Apps SDK Platform Ecosystem
ChatGPT Platformization: OpenAI launched Apps SDK (Software Development Kit), enabling developers to build and publish commercial applications (apps) within ChatGPT, users accessing third-party apps through ChatGPT interface, similar to Apple App Store, Google Play business models.
SDK Features:
- Natural Language Interface: Applications interact through dialogue, no traditional graphical interface (GUI) needed, lowering development barriers
- API Integration: Connecting external services (payments, databases, cloud storage, third-party APIs)
- Multimodal Support: Text, image, voice, video input/output
- User Authentication and Authorization: OAuth 2.0 secure login, protecting user privacy and data
- Revenue Sharing: Developers can set subscriptions or one-time payments, OpenAI takes 30% (similar to App Store/Google Play)
Application Cases:
- Travel Planning: Integrating Expedia, Booking.com APIs, generating personalized itineraries, booking flights and hotels
- Legal Consulting: Connecting legal databases, providing contract reviews, legal document generation
- Health Management: Connecting wearable devices, analyzing health data, providing diet and exercise advice
- Educational Tutoring: Personalized course planning, homework grading, knowledge testing
- Financial Analysis: Connecting bank accounts (with authorization), analyzing spending, investment advice, tax assistance
Ecosystem Effects: Apps SDK transforms ChatGPT from single AI assistant to “AI operating system”, developer community contributing tens to hundreds of thousands of applications, forming network effects, user stickiness and platform value exponentially growing, similar to iOS/Android ecosystem revolutionizing smartphones.
Sora 2 Commercialization Plans
Pricing Strategy:
- Free Version: 5 generations per month, maximum 10 seconds each, 480p resolution, OpenAI watermark
- ChatGPT Plus ($20/month): 50 generations per month, maximum 30 seconds each, 1080p resolution
- ChatGPT Pro ($200/month, rumored): Unlimited generations, maximum 60 seconds each, 4K resolution, no watermark, commercial usage license
- Enterprise Plans: On-demand pricing, bulk generation, dedicated support, API integration, custom model fine-tuning
Commercial Licensing: Generated video copyrights belong to users, usable for commercial purposes (advertising, marketing, video production, gaming, education), but must comply with OpenAI usage policies (prohibiting violence, pornography, misleading information, infringing content generation).
API Services: Enterprises can generate videos in bulk via API, integrating into products (like e-commerce product display videos, real estate virtual tours, educational course animations), pricing approximately $0.5-2/second video (based on resolution and complexity), compared to traditional video production costs (hundreds to thousands of dollars/second) saving 90-99%.
Industry Applications and Impacts
Advertising Marketing Revolution
Product Ad Rapid Generation: E-commerce, brands can input product descriptions and creative concepts, Sora 2 generates 30-60 second ad videos showcasing product features, usage scenarios, lifestyles, no need for studios, actors, post-production teams, production time shortened from weeks to hours, costs reduced from tens of thousands of dollars to hundreds.
Personalized Advertising: Based on user data (age, gender, interests, purchase history) generating customized ad videos, same product presenting different appeals to different audiences (like sports shoe ads: young people emphasizing trendy design, middle-aged emphasizing comfort and health), improving conversion rates and advertising effectiveness.
A/B Testing at Scale: Rapidly generating dozens to hundreds of ad variants (different scripts, visual styles, soundtracks, lengths), conducting A/B testing to find optimal solutions, data-driven creative optimization, replacing traditional advertising agency experience judgment.
Social Media Content: Influencers, brands daily needing to produce massive short videos (TikTok, Instagram Reels, YouTube Shorts), Sora 2 can rapidly generate creative content, maintaining posting frequency, algorithm recommendation exposure, reducing content creation burnout.
Film Production Assistance
Concept Visualization (Pre-visualization): Directors, screenwriters using Sora 2 to transform scripts into dynamic storyboards (storyboard animatics), previewing scenes, camera movements, visual effects before shooting, optimizing narrative rhythm, reducing on-set trial-and-error costs.
Virtual Sets and Backgrounds: Generating CGI backgrounds replacing green screen shooting, actors performing in virtual environments (like alien planets, historical ancient cities, deep sea), post-compositing more natural, saving location shooting expenses and time.
Effects Assistance: Generating explosions, magic, superpowers and other effects footage, as VFX artist references or direct use, accelerating post-production workflow. Traditional VFX costs thousands to tens of thousands of dollars per second, Sora 2 can reduce to hundreds of dollars.
Crowd Generation: Background crowds, distant characters AI-generated, no need to hire numerous extras, reducing labor costs and pandemic risks, suitable for epic battles, urban street scenes, stadium audiences and other scenarios.
Independent Film Democratization: Low-budget independent filmmakers can utilize Sora 2 to achieve visual effects previously only affordable by Hollywood blockbusters, creativity no longer limited by budget, emerging director, student work quality enhanced, film industry more diverse and open.
Education and Training
Instructional Animations: Teachers input course content, Sora 2 generates instructional animations explaining abstract concepts (like DNA replication, photosynthesis, Newton’s motion laws, historical event recreations), visual learning enhancing student comprehension and memory.
Language Learning: Generating situational dialogue videos (restaurant ordering, airport customs, business meetings), learners practicing immersively, combined with speech recognition and AI dialogue, interactive language learning replacing traditional textbooks.
Vocational Training: Simulating workplace scenarios (like medical surgery, aircraft maintenance, customer service responses, crisis management), employees repeatedly practicing in virtual environments, reducing actual operation risks and costs, training efficiency enhanced.
Historical and Cultural Preservation: Reconstructing historical scenes (like Roman Colosseum, Egyptian pyramid construction, WWII battlefields), combined with AI guided tours, immersive historical education, promoting cultural understanding and preservation.
Gaming and Entertainment
Cutscene Generation: Game developers using Sora 2 to generate cutscene animations, no need for manual modeling, animation production, narrative presentation richer, development cycles shortened, indie games can achieve cinematic storytelling.
Dynamic Story Branching: Based on player choices instantly generating different story videos, true multiple endings and dynamic narratives, each playthrough experience unique, replay value dramatically enhanced.
Virtual Streamers (VTubers): Combining Sora 2 with voice synthesis, generating virtual characters for real-time interactive streaming, lowering VTuber production barriers (no motion capture equipment needed), virtual influencers, AI companionship applications emerging.
Music Videos (MVs): Musicians inputting lyrics and styles, Sora 2 generating MVs, independent musicians no need for expensive MV production fees, creative expression freer, music industry visual presentation democratized.
AI News Anchors and Media Transformation
UK Channel 4 Launches AI News Anchor Arti
October 27, 2025 Launch: UK’s Channel 4 launched AI-generated news anchor “Arti” (Artificial Intelligence abbreviation), broadcasting news on social media channels, marking first AI anchor in British television history.
Technical Implementation: Arti powered by OpenAI Sora 2 and voice synthesis technology, automatically generating anchor imagery and voice based on news scripts, customizable appearance (gender, age, race, clothing), natural fluent voice, synchronized expressions and lip movements.
Application Scenarios:
- Breaking News Alerts: AI anchors can broadcast 24/7 instantly, no waiting for human anchors, improving news timeliness
- Multilingual Versions: Same news generating multilingual AI anchor versions (English, Spanish, Chinese, etc.), expanding international audiences
- Personalized News: Future potentially generating customized news broadcasts based on user interests, AI anchors narrating topics users care about
- Production Cost Reduction: No need for studios, makeup, lighting, photographers, dramatically reducing news production costs, resources invested in in-depth reporting
Controversies and Challenges:
- Employment Impact: Traditional news anchors face unemployment risks, media unions protesting AI replacing human jobs
- Trust Issues: Will audiences trust AI-broadcast news? Deepfake technology abuse risks, misleading information spreading
- Emotional Connection: Human anchors possess emotional expression, on-site reactions, personal charisma; can AI establish audience emotional connections?
- Ethical Guidelines: Need to establish AI news broadcast ethical standards, clearly labeling AI-generated content, avoiding audience deception
Future Trends: Expected more media following suit launching AI anchors, BBC, CNN, NHK and other international media experimenting, AI anchors may become news industry standard, human anchor roles transforming to in-depth investigative reporters, commentators, interview hosts, exercising critical thinking and humanistic care AI cannot replace.
Competitive Landscape and Technical Comparison
Runway Gen-3
Runway ML Current Status: Runway is AI video generation pioneer, Gen-2 launched 2023, Gen-3 released 2024, supporting maximum 16-second video generation, 720p-1080p resolution, strengths in stylized artistic videos and visual effects.
Technical Features:
- Style Transfer: Applying art painting styles (like Van Gogh, Picasso) to videos
- Motion Brush: Manually marking object movement trajectories, precisely controlling motion
- Video Inpainting: Removing or replacing specific objects in videos, automatic background filling
Market Positioning: Runway targets creative professionals (filmmakers, effects artists, advertising directors), providing fine-grained control tools, emphasizing artistic expression, not mass consumer product.
Disadvantages: Video length (16 seconds) and realism (physical law simulation) inferior to Sora 2, smaller user base (approximately hundreds of thousands), difficult competing with OpenAI’s massive ChatGPT ecosystem.
Pika Labs
Fast-Growing Startup: Pika launched Pika 1.0 late 2023, emphasizing ease of use and rapid generation, attracting numerous social media content creators, users exceeding millions.
Featured Functions:
- Expand Canvas: Automatically expanding video frame range, converting 16:9 to 21:9 cinematic ratio
- Modify Region: Locally modifying specific video areas (like changing clothing colors, object replacement)
- Lip Sync: Lip-sync function, uploading audio files, AI generating character lip movements
Price Advantage: Pika pricing lower, free version 250 generations per month, paid version $10-35/month, more affordable than Sora 2 (estimated $20-200/month), attracting individual creators and small studios.
Technical Lag: Video quality, physical realism, temporal coherence inferior to Sora 2, but rapid iterative updates, high community activity, future possibly through open-source collaboration or acquisition by major company.
Meta Movie Gen
Meta Enters Video Generation: Meta (Facebook parent company) released Movie Gen research prototype 2024, supporting 16-second video generation, audio generation, video editing, but as of October 2025 still not publicly productized, limited to research paper demonstrations.
Technical Highlights:
- Joint Image-Audio Generation: Simultaneously generating video with soundtrack, sound effects, contextual atmosphere matching
- Personalized Videos: Uploading photos, generating videos with that person appearing in specified scenes (like “me dancing in front of Paris Eiffel Tower”)
Productization Challenges: Meta faces content moderation and legal risks (deepfake abuse, copyright infringement, misleading information), productization cautiously conservative, possibly integrating into Instagram, Facebook platforms, but progress behind OpenAI.
Google Veo
Google DeepMind Competitor: Google unveiled Veo video generation model at 2024 I/O conference, supporting maximum 120-second videos (technical demo, not publicly released), emphasizing “surpassing human director” visual quality, but as of October 2025 limited to enterprise testing, not opened to public.
Technical Advantages: Google possesses YouTube’s massive video training data (500 hours uploaded per minute), data advantage theoretically should exceed OpenAI, but productization execution insufficient, missing market opportunities.
Integration Strategy: Veo may integrate into Google Cloud Video AI services, for enterprise customer API calls, or add to Google Workspace (like Google Slides automatically generating presentation videos), but consumer products not yet clarified.
Ethical Challenges and Regulation
Deepfake Threats
Malicious Applications: Sora 2 can generate extremely realistic fake videos, impersonating politicians, celebrities, corporate executives making false statements, manipulating public opinion, stock markets, elections, endangering democracy and social stability.
Prevention Measures:
- Watermarking Technology: OpenAI embeds invisible digital watermarks in generated videos, detection tools can identify AI-generated content
- Content Provenance and Authenticity (C2PA): Microsoft, Adobe, BBC promoting C2PA standards, videos carrying metadata recording creators, generation methods, modification history, establishing trust chains
- AI Detection Tools: Developing AI detecting AI-generated content tools, analyzing video characteristics (like lighting inconsistencies, physical violations, pixel anomalies), flagging suspicious content
- Legal Liability: OpenAI terms of use prohibit generating misleading information, violators face account bans, legal prosecution, but enforcement strength and effectiveness remain to be observed
Copyright and Intellectual Property
Training Data Controversies: Sora 2 training uses millions of hours of video, possibly including copyrighted videos (movies, TV series, YouTube creator content), unauthorized use sparking legal controversies. Film guilds, YouTubers, photographers filing class action lawsuits, demanding compensation and infringement cessation.
Generated Content Copyright: Are AI-generated videos copyright protected? Most countries’ current laws stipulate copyright requires “human” creation, AI-generated works may not be protected or ownership ambiguous, affecting commercial usage confidence.
Style Imitation: Users can specify “Miyazaki style”, “Nolan film style” generating videos, does this infringe original creators’ style rights? Legal gray area, various countries’ case law not yet unified.
Solutions:
- Licensed Training Data: OpenAI signing licensing agreements with film companies, content platforms, paying fees to use training data, establishing legal business models
- Opt-out Mechanisms: Creators can apply to exclude their works from training data, respecting intellectual property rights
- Copyright Sharing: Generated content labeled “AI-assisted creation”, copyright shared between user and OpenAI, clarifying rights and obligations
Employment Market Impact
Affected Professions:
- Film Production Personnel: Photographers, editors, effects artists, animators, voice actors facing partial work automation
- Advertising Marketing: Ad directors, producers, models, actors demand decreasing
- Media Practitioners: News photographers, editors, anchors competing with AI anchors
Transformation Opportunities:
- AI Directors/Prompt Engineers: Proficient in Sora 2 operation, transforming creativity into high-quality prompts, becoming new profession
- AI Content Moderators: Checking AI-generated content quality, compliance, ethics, ensuring outputs meet standards
- Creative Directors: Humans focusing on creative conception, storytelling, emotional expression, AI executing technical implementation, human-machine collaboration new model
Social Policies: Governments need to provide vocational retraining, unemployment assistance, universal basic income (UBI), helping traditional film industry workers transition, avoiding large-scale unemployment social unrest.
Future Development Directions
Real-Time Generation and Interaction
Current Limitations: Sora 2 generating 60-second videos requires minutes to tens of minutes computation time (depending on complexity and server load), not real-time generation.
Future Goals: With hardware acceleration (NVIDIA H200, AMD MI300X GPUs) and model optimization (distillation, quantization, sparsification), expected within 2-3 years to achieve real-time or near-real-time generation (seconds latency), supporting interactive applications (like games, live streaming, virtual reality).
Application Scenarios:
- Interactive Films: Audiences choosing plot directions, AI instantly generating subsequent episodes, each viewing experience unique
- Virtual Reality (VR): User actions driving AI-generated VR environments and character reactions, immersive interactive experiences
- Game NPCs: Game non-player characters (NPCs) AI instantly generating dialogue and actions, dynamic open worlds
Multimodal Integration
Video + Audio: Sora 2 future integrating audio generation (like ElevenLabs, Murf.ai technologies), simultaneously generating video with synchronized soundtracks, sound effects, dialogue, one-stop content creation.
Text + Video + 3D: Integrating text generation (GPT-4), video generation (Sora 2), 3D model generation (like OpenAI Shap-E), users inputting concepts, AI outputting complete multimedia projects (like game levels, virtual exhibitions, architectural visualizations).
Cross-Modal Editing: Text commands editing videos (“remove rain from video”, “convert daytime scene to night”), audio-driven video generation (generating dance movements based on music rhythms), video to text scripts (automatically generating subtitles and scene descriptions).
Customization and Fine-Tuning
Personalized Models: Users uploading photos, video materials, fine-tuning personalized Sora models, generating videos containing specific characters (like self, pets, family), creating dedicated AI directors.
Brand Style Models: Enterprises training brand-specific Sora models, ensuring generated videos conform to brand visual identity (color schemes, fonts, styles), maintaining brand consistency.
Domain-Specific Models: Medical, education, legal, architecture and other professional domains, training domain-specific models, generating content conforming to professional standards and terminology, enhancing practicality and credibility.
Conclusion
OpenAI Sora 2 launched at October 2025 DevDay marks AI video generation technology entering 60-second hyperrealistic commercialization era. Authentic physical law simulation, nuanced lighting effects, coherent character performance, complex scene understanding capabilities make Sora 2 revolutionary content creation tool. ChatGPT 800 million weekly active users up 100 million from September demonstrates explosive AI application expansion, Apps SDK launch transforms ChatGPT into developer platform ecosystem, opening AI app store era. UK Channel 4 launching AI news anchor Arti reveals media industry transformation, AMD securing multi-billion AI infrastructure contracts reflects enterprise AI investment boom. Sora 2 broad industry applications in advertising marketing, film production, education training, gaming entertainment, lowering content creation barriers and costs, democratizing visual storytelling capabilities. Competitors Runway, Pika, Meta Movie Gen, Google Veo each with unique features, but Sora 2 with technical leadership and ChatGPT ecosystem integration solidifies market position. Deepfake threats, copyright controversies, employment impacts and other ethical challenges require government, enterprise, societal cooperation, establishing AI content labeling, copyright licensing, vocational transition mechanisms. Future real-time generation, multimodal integration, customization fine-tuning will further expand application boundaries, AI video generation evolving from auxiliary tool to creative core, human creativity and AI technology collaboration defining future content industry new paradigm. Sora 2 not only technical breakthrough, but cultural creation paradigm shift starting point, era where everyone can become film director has arrived.
