Runway video generation models
Runway Gen-4/Gen-4.5 image-to-video and text-to-video capabilities, realism, motion quality, prompt adherence, real-time generation, and comparisons with competing video models.
36.6%
Best tweets about Runway
41 Best Tweets About Runway (2026)
Discover the best tweets about Runway AI, including Gen video models, prompting, filmmaking tools, motion control, releases, and creator workflows.
RunwayML products, AI video models, filmmaking tools, prompting, motion controls, comparisons, releases, and creative results, excluding fashion runways.
- Creators
- 32
- Updated
Original Xholic analysis
What 41 top Runway posts reveal
Conversation around Runway is predominantly positive (75.6% positive sentiment) and spread across 32 creators. Posts focus on practical video workflows, storytelling, and expanding product areas, while some practitioners caution that client-facing work still requires substantial editing and judgment.
- Dominant tone
- Positive
- Median score
- 9.71
- Leading format
- Announcement
- Recent posts
- 22%
75.6% of posts
All-time engagement
36.6% of posts
Published in 90 days
Conversation map
The themes creators return to
Industry adoption and business impact
Enterprise deployment, productivity gains, production economics, startup funding, creator communities, conferences, contests, and cross-industry applications.
34.1%
AI filmmaking and storytelling
Using Runway in cinematic production, world-building, short films, animation, narrative craft, and the role of artistic taste and storytellers.
29.3%
Creative apps and workflow controls
Runway apps, node-based workflows, Story Panels, Multi-Shot, multi-reference techniques, studio-lighting workflows, and prompting methods for structured creation.
22%
Advertising and commercial production
Runway for product ads, VSL B-roll, ad concepting, creative iteration, campaign assets, and AI-assisted production pipelines.
19.5%
Platform integrations and ecosystem
Runway within multi-model creation stacks, agentic orchestration systems, APIs, MCP integrations, open-source frontends, and external editing tools.
19.5%
AI video editing and variations
Aleph 2.0 and related workflows for selectively changing video elements while preserving camera movement, composition, motion, and continuity.
12.2%
Runway Characters and interactive agents
Real-time AI characters with custom knowledge, voices, APIs, website embeds, game guidance, customer support, and immersive product interfaces.
12.2%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 35
- Median reposts
- 3
- Median replies
- 4
- Median views
- 2.9K
Posts with media make up 73.2% of this collection. Their median all-time score is 10.2, compared with 7.67 for text-only posts.
Format mix
- Announcement 36.6% · score 6.95
- Case Study 24.4% · score 12.8
- Opinion 22% · score 7.67
- Tutorial 9.8% · score 22.7
Consensus and debate
Where creators agree, and where they do not
Shared view
Runway is framed as a creative production layer
Creators describe using Runway alongside image-generation, music, and editing tools for shorts, ads, and world-building rather than as the sole tool in a production pipeline.
Shared view
Controls and structured workflows matter
Posts highlight Multi-Shot, Story Panels, Workflows, and app-based methods for turning prompts and references into more directed sequences.
Shared view
Storytelling is the higher bar
Several voices argue that AI video needs taste, a message, and narrative craft—not only technical demonstrations—to be meaningful.
Shared view
Runway is extending beyond generated clips
The evidence covers AI video editing, real-time Characters, website embeds, and Runway Labs’ stated exploration of applications across industries.
Open debate
Automation versus human finishing
Aleph posts describe making selective changes while preserving motion and composition, while other practitioners say AI can provide assets or variations but editors remain important for pacing and emotional timing.
Open debate
Confidence in market momentum varies
One post questions whether competing video-model development has slowed, while another argues that creative-platform features and agentic workflows are being copied and commoditized quickly.
Open debate
Interactive characters bring responsibility concerns
Runway presents Characters as a new real-time interaction format and says that building the technology requires addressing potential misuse.
What performs
Patterns behind standout posts
OpenMontage post was the major outlier
The OpenMontage post, which lists Runway Gen-4 among 12 video-generation providers, had the highest supplied all-time score at 1,627.77. The post describes a multi-tool product-ad production system.
Concrete workflow posts were among the outliers
The supplied outlier list includes the singing-ad workflow post (217.83 all-time score) and the studio-lighting workflow/app post (87.5), showing that both appeared among this set’s highest-scoring posts.
Media was common in the conversation
Deterministic analytics reports media in 30 of 41 posts (73.2%). The supplied median all-time score was higher for media posts (10.19) than for text posts (7.675).
Statistical standouts
- View standout post 1 Score 1627.8 · 167.59× median
- View standout post 2 Score 217.8 · 22.43× median
- View standout post 3 Score 153.3 · 15.79× median
- View standout post 4 Score 87.5 · 9.01× median
- View standout post 5 Score 83.0 · 8.55× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 24.4% of the selected posts.
-
1. aroha
@arohaAIX
2 posts
-
2. Dave Clark
@Diesol
2 posts
-
3. Nicolas Neubert
@iamneubert
2 posts
-
4. Jerrod Lew
@jerrod_lew
2 posts
-
5. Minh Do
@minhsmind
2 posts
-
6. Rich Klein
@RichKleinAI
2 posts
Practitioner examples complement Runway announcements
Creator posts demonstrate concrete outputs and workflows, while Runway’s own posts announce Labs and Characters, combining practitioner use cases with platform expansion.
Multi-model workflows appear repeatedly
Several creators pair Runway with tools including Seedance, Nano Banana, Suno, Midjourney, and DaVinci Resolve for different stages of production.
Top voices span craft and product experimentation
The supplied creator analysis identifies recurring voices including aroha, Dave Clark, Nicolas Neubert, and Runway. Their cited posts cover apps, cinematic work, Characters, and Multi-Shot experiments.
Since the previous snapshot
What changed since Aug 12, 2026
- 75.6% of the selected posts remained.
- The creator count changed by +4.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 41-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Runway tweets
Top Runway tweets from 32 creators
Ranked 01–41
- 01
@heygurisingh ·
🚨BREAKING: An open-source agentic video production system just dropped. 11 pipelines, 49 tools, and a full product ad produced for $0.69 total. It's called OpenMontage. And it's not a text-to-video tool. It's a full production orchestration system where your AI coding assistant (Claude Code, Cursor, Copilot, Windsurf) becomes the director. Describe what you want in plain language. The agent researches, scripts, generates assets, edits, and renders the final video. Here's what the pipeline actually does: → Live web research first: 15-25+ searches across YouTube, Reddit, news sites before writing a single word of script → 12 video generation providers: Kling, Runway Gen-4, Google Veo 3, MiniMax, plus local GPU options (WAN 2.1, Hunyuan, CogVideo) → 8 image generation providers: FLUX, Google Imagen 4, DALL-E 3, Stable Diffusion locally → 4 TTS providers: ElevenLabs, Google (700+ voices), OpenAI, and Piper offline for free → WhisperX word-level subtitles burned in automatically → Remotion for React-based animated composition with spring physics, transitions, TikTok-style captions → Budget governance: cost estimate before execution, per-action approval above $0.50, hard cap at $10 Here's the wildest part: One product ad. 4 AI-generated images, TTS narration, royalty-free music, word-level subtitles, Remotion data visualizations. Total cost: $0.69. Zero manual asset work. Works with zero API keys too. Piper narrates locally, Pexels/Pixabay provide free stock, Remotion animates everything. No spend required to start. 100% Open Source. AGPL v3 License. (Link in the comments)
Watch video
- 02
@Aducate ·
How to make singing ad videos that are blowing up rn Full breakdown of the exact tools and workflow 👇 Step 1: Generate the music and lyrics Use Suno AI or Udio to create the song Prompt: "Upbeat, musical theater, Disney/Pixar style, female vocals, storytelling about [your product], 128 BPM" You can write your own lyrics (hmu if u can) or use Claude to draft a rhyming script first Step 2: Create your character Use Nano Banana for a consistent 3D character The master prompt: "3D Disney Pixar style, a woman with messy curly brown hair, expressive eyes, wearing a white t-shirt, soft cinematic lighting, 8k render, high detail" Save the seed number or use character reference to keep her looking the same across all scenes Step 3: Animation and lip-sync Scene generation: Use Luma Dream Machine or Runway Upload your character image and prompt (e.g., "Woman jumping rope in a gym, Pixar style") Lip-syncing: Use HeyGen or Sync Labs Upload your video clip and your audio file from step 1 The AI will re-animate the character's mouth to match the singing perfectly Dzine AI also works great for hyper-smooth lip-syncing on animated characters Step 4: Edit it all together Use CapCut Add auto captions with bold centered text that pops as words are spoken Use templates like "The Bold" or "Glossy" Add overlays like product diagrams or comparison charts using simple PNG images We're testing this format for a few clients right now and the engagement is crazy People watch these way longer than standard ads *we didn't make this ad
Watch video
- 03
@iamneubert ·
Using Runway Character's API, I built a character with the entire map knowledge base of Bungie's latest title @MarathonTheGame. It can read the screen, guide you to objectives, and help you decide which valuables to extract. Just a preview of how gaming will change with AI.
Watch video
- 04
@arohaAIX ·
❤️ Runway 🎧 🔥workflows + apps + gen-4.5i2v 🔥 this combination is a creative powerhouse spent the weekend refining workflows, building new ones and converting favorites to apps 👇🏻studio lighting macro workflow+app
Watch video
- 05
@omoalhajaabiola ·
There's an untapped niche in AI videos for teaching Islamic ethics and jurisprudence, especially Islamic finance, halal investing, and Sharia-compliant business practices. I've not seen much exploration and innovation in breaking down Islamic rulings and principles with AI videos, procedural animations, and visual explainers. Most Islamic knowledge content online is still lecture-heavy, text-dense, or locked behind Arabic literacy. AI video tools (Runway, Pika, HeyGen, Synthesia) can make this knowledge accessible, visual, and shareable in ways that meet people where they already consume conten
- 06
@laszlogaal_ ·
Happy to announce that I've received the 𝐆𝐫𝐚𝐧𝐝 𝐏𝐫𝐢𝐳𝐞 on @runwayml's Big Ad Contest Award. I'm always keeping an eye on AI competitions and AI festivals, but this one was special for me because Runway was the first video AI tool that I've ever tried in my life. Since then they became giants in the AI space, supporting artists and integrating many models in their suite, also I would encourage everyone to follow @c_valenzuelab on Twitter for some deeper thoughts about the future of AI. The other reason is I've only realized the deadline was only days away, which forced me to ditch any complicated ideas and keep it very simple. And as it is with moving images: sometimes less is more. After seeing the top25 finalists I also had to realize that the bar has raised, last year you could post a 15 second demo and hundreds of comments would flood, but now - finally - we are back to the purpose of any media: to tell something words can't tell, tell a story, and have a message behind the cinema screen. I'll post the top 25 finalists in the comments so if you have time you can check out the artists and their work. Also planning to somehow help the local AI artists here in Vietnam, as soon as I have the plan for the best way to do so, will post about it later. 𝘐𝘮𝘢𝘨𝘦 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘱𝘰𝘴𝘵 𝘸𝘢𝘴 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘙𝘶𝘯𝘸𝘢𝘺 𝘴𝘶𝘪𝘵𝘦, 𝘶𝘴𝘪𝘯𝘨 𝘉𝘍𝘓 𝘧𝘭𝘶𝘹2𝘔𝘢𝘹.
- 07
@Diesol ·
THE CLEAN3R The third installment in my AI series coming soon. Made entirely using Seedance 2.0 inside Runway. Edited in Davinci Resolve. Video upscale in Magnific. Music created with Suno. "Just one more job..."
Watch video
- 08
@runwayml ·
Today we are introducing Runway Labs, a generative AI incubator led by our co-founder and Chief Innovation Officer, Alejandro Matamala Ortiz. Runway Labs will focus on broadly exploring the transformative power of AI video and General Worlds Models across all industries. From film and television to healthcare and education, gaming, advertising, real estate and more. We will be partnering with creators, enterprises, institutions and foundations to find new applications for these technologies and opportunities across industries. Learn more at the link below.
- 09
@iamneubert ·
"The girl steps into the hand and then the robot lifts her up towards it's face where she places her hand on it's metal body." Created with Runway's Multi-Shot app.
Watch video
- 10
@Diesol ·
Fresh off of speaking at the Runway AI Summit yesterday in New York. A few thoughts after many fruitful conversations. I don’t come directly from tech. My goal isn’t to be a “tech or AI bro.” I come from film sets, edit bays, and storytelling. I come from film and art school, drawing naked figures for 6 hours a day. After incredible conversations I’d figured I’d share the real state of the union regarding AI and the art and film industry. What’s clear to me is this: AI isn’t waiting to “arrive.” It’s waiting for storytellers and artists bold enough to define it. Both old and emerging. Right now, we’re still in the phase where people are reacting to the tools and to tech demos. Not understanding the complex workflows that are developing to tell stories in new interesting ways. But the real shift happens when creators start bending the tools to their voice. When we are seeing more people who have been crafting stories their whole life start to emerge. That’s when this becomes something bigger than just click-bait content. That’s when it becomes cinema. And I assure you, many of us are doing just that. We need more storytellers in this space. Because without them, it takes longer to move forward in a meaningful way. When people start seeing the real voices and the real stores, it’s all she wrote. Coming sooner than you think.
- 11
@jerrod_lew ·
Introducing Runway Aleph 2.0. Edit videos using AI, keeping camera and motion all consistent. Select specific frames in your video to reprompt with GPT Images 2.0 or Nano Banana 2, then apply it to the entire video. Here's my full tutorial:
Watch video
- 12
@Crownzdesigns ·
I tested Runway using a single prompt. To see how realistic it actually gets. Generated the image and the video from scratch. Here's the full process.
Watch video
- 13
@GithubProjects ·
ChatGPT Web Midjourney Proxy is an open-source frontend that adds support for Suno, Luma, Pika, and Kling alongside existing Midjourney, GPT, and other AI model integrations. - Supports text-to-video and image-to-video for Luma, Pika, Runway, and Kling - Suno module with lyric and style adjustments, plus audio-to-audio generation - Udio text-to-music, Viggle dance generation, and Ideogram image generation - One-click deploy to Vercel or install as a desktop app Explore it here: https://t.co/7zvxaqdfT3
- 14
@Damn_coder ·
I thought making multiple versions of the same video meant reshooting everything. Then I tried Aleph 2.0 in @runwayml I took one clip and changed specific parts using simple text instructions: → changed the style → updated the look → created a new variation The wild part? It only changed what I asked for. The camera movement, composition, and everything else stayed intact. This feels less like video editing and more like editing a document: - Describe the change. - Preview it. - Apply it. If you create content, ads, or product videos, this can save hours of production work. Aleph 2.0 is live on Runway now - https://t.co/QWz9sJblo7
Watch video
- 15
@FedotOff90 ·
AI doesn't edit your VSL. Let me be clear about that upfront. What AI does is eliminate the 6-8 hours your video editor spends hunting for stock footage and writing briefs for what they need. Here's how the production process actually works: Step 1: Your script is approved. You or the founder records A-roll — talking head on iPhone 14+ in a clean, well-lit room. Dark or simple backgrounds outperform busy ones for direct response. Use a teleprompter app. Record at 130-150 words per minute — slower than feels natural because the viewer is reading captions at the same time. Step 2: Feed the approved script into Claude with a B-roll extraction prompt. For every sentence or logical unit in the script, Claude outputs: scene type (problem visual, solution visual, proof visual, authority visual, lifestyle visual, product visual), a specific visual description in plain English, a generation prompt formatted for Midjourney or Runway, and whether the asset should be static or motion. Step 3: Output is a CSV — your production manifest. Script line, scene type, description, generation prompt, asset type. This goes directly to your video editor as their brief. Step 4: Generate all static assets in Midjourney. Generate all motion assets in Runway. Your editor now has every b-roll clip labeled, timestamped, and ready to drop in. Step 5: Your editor assembles the final cut — pacing, transitions, caption styling, color, the feel of the ad. This is the part you don't automate. The editor is what makes it feel like a real ad, not a slideshow. What this process eliminates: your editor spending hours searching stock footage sites, you going back and forth on "what kind of image should go here," and the miscommunication between creative direction and what actually gets produced. The AI generates assets. The human assembles them. That split is intentional. We've tested fully automated edits and they're not there yet. The editor's judgment on pacing and emotional timing is still the difference between a 2x and a 5x ROAS VSL.
- 16
@c_valenzuelab ·
There were a lot of takeaways from the Runway conference yesterday. But the one that has stayed with me most is the level of impact this company has had on people’s lives around the world. Having close to a thousand of your best users and customers together in the same physical space is something pretty surreal and unique in so many great ways. It makes the most abstract things feel very real. Whenever I could, I wandered around the main area and talked to people who had flown in from Spain, Sweden, Mexico, San Francisco, Los Angeles, Seattle, and so many other places just to be there for one day. People came up to tell me how using Gen-1 back then changed their lives. How Runway reshaped the way they work. How they found a new job. How it helped them reconnect with a dormant passion. Or simply how it made them happy. People whose lives were changed in ways both practical and deeply personal because something we built reached them at the right moment. The greatest fuel a team can have. It reminds you what all the work is for. It gives you energy to keep building, to keep pushing. To be reminded, in such a direct way, that the work matters. To be able to measure the number of lives you have changed for the better.
- 17
@runwayml ·
Earlier this week, we launched Runway Characters which represents a new type of real-time interaction with AI. These kinds of immersive simulated experiences are going to reshape the way we experience and engage with the internet. Building a technology this powerful means grappling with how it might be misused. Learn more at the link below about how we're building responsibly towards this new internet.
- 18
@RoundtableSpace ·
LET YOUR AGENT AUTONOMOUSLY GENERATE VIDEOS WITH THIS SKILL 12 video generation providers: Kling, Runway Gen-4, Google Veo 3, MiniMax, plus local GPU options (WAN 2.1, Hunyuan, CogVideo) In one skill With remotion for React-based animated composition with spring physics, transitions, TikTok-style captions https://t.co/Z5cv528cBW https://t.co/fKBqtq65KW
- 19
@agermanidis ·
The idea that video models are too expensive to deploy does not make sense to me, and it usually comes from organizations that don’t understand the potential and surface area of the technology. If you believe, as I do, that video models are on the critical path to general intelligence, then it becomes a P0 problem to solve. It’s important to advance capabilities and efficiency at the same time. Improvements in efficiency help us deploy the models more widely and train them faster. People associate Runway with bringing new capabilities and control to video generation, but our work in making those models more efficient has been just as critical to getting them in front of tens of millions of users and 90% of the Fortune 100. We've invested in making video diffusion fast for a long time, bringing a distilled video model to market (Gen-3 Alpha Turbo) before anyone else. And we recently had to build an entirely new model serving stack from scratch to support real-time interactivity and instant generation as we start to deploy GWM-1 and our next world models. General, interactive world models will have a huge multiple of impact compared to traditional video models, and to get there you need a research organization that both understands how important those models are, and is insanely obsessive about getting the low-level details right. Here's a good place to contact such an organization: https://t.co/x6FBFRdN3p
- 20
@MiSunKw ·
Earlier this week, we brought nearly 700 leaders together in New York for @runwayml's inaugural AI Summit — and the energy in the room made one thing clear: the creative industry is at an inflection point. Across media, entertainment, gaming, advertising, and legal, two themes emerged consistently: Taste and transparency matter as much as capability. And the companies that will lead tomorrow are the ones embracing AI today. -Kathleen Kennedy of @Lucasfilm reminded us that taste is fundamental to the art of filmmaking — and that AI, in the right hands, will help us tell even better stories. -@HElsakr19489 (@Adobe) and @philwiser (@paramountco) shared how their organizations are navigating AI adoption honestly — leaning into the possibilities while being clear-eyed about the realities. -Creative principals at UNVEIL Studio and @Silverside_AI pushed this further: for them, AI isn't just a tool. It is the medium. -Christopher Harrelson of Why Brands shared a striking data point: designers using Runway have seen a 5x efficiency gain — enabling more work, faster iteration, and higher-quality outputs. Runway's own @theeddylee grounded it all in a sobering reality: only 10% of US businesses use AI in production, and 55% of corporate communications are still text-only, even as video drives 70% of internet traffic. The gap between where most companies are and where they need to be is wide. Can't wait to see what our next summit (un)covers!
- 21
@andymac3d ·
Some quick experiments on 'multi-reference stacking' using @runwayml new 'Multi-Shot' app. You've only currently got one image slot, but you can montage them in one image as an input. 😎👍 - Rather than using Photoshop (time consuming!) - you can use NanoBanana or Seedream to generate you the montage reference by using their multi-inputs (up to 14 !) and some instructions not to change the content with no overlaps. - I did this with NB in Workflows as its a bit more visual and easier to swap them in and out. - The the results are surprisingly good (these were with my Runway Big Ad Contest 'Nothing Burger' ad refs) - will need some more testing to see if i can improve this further. This is particularly useful if you want to give more context and emphasis to the elements of your sequence. Hope this is useful! 😄 🍔🥤 p.s. Oh yes, if you want to see my submitted ad: 'Nothing Burger' - see the link in the thread! 👇
Watch video
- 22
@RichKleinAI ·
"Chronicles of Darius" I grew up watching Saturday morning cartoons and one of my favorites was the short-lived Dungeons & Dragons animated series. I always wanted to create something in that style, but never had the time or resources to do it. Last night, using Runway (with Kling 3.0 multi-shot and keyframes, and Nano Banana Pro), Midjourney, and Suno, I created this scene as a test for a fictional 80s fantasy series. Edited in DaVinci Resolve. I never thought this would be possible, yet here we are. There are still some rough edges, but this was just one evening. Runway's clean UI makes working on these projects a lot of fun.
Watch video
- 23
@minhsmind ·
Honestly, we’re just going to keep seeing more and more big filmmakers being open to AI in filmmaking and art and the Anti-AI crowd will have less and less arguments to make. The paradox is they’ll also get louder too. The problem for them is that they’ll increasingly sound whiny. Ron Howard on AI: “It’s very exciting in terms of its potential to more efficiently and more broadly help storytellers get their ideas out there,” Howard said of the hot-button tech. “There are so many facts yet to be sorted out,” he said, but added he thought the possibilities are very appealing and that others will agree. “We will want it.” Howard was speaking at the Runway AI Film Festival at Lincoln Center in New York Thursday, where he talked on stage with the video-generation company’s co-founder Cris Valenzuela. That conversation followed a similar AI-themed talk from earlier this spring between Valenzuela and Kathleen Kennedy, who was more circumspect. Perhaps most strikingly, Howard said that one of the most influential hand-crafted entertainers of the 20th century would also embrace AI if he was alive today. “Jim Henson just wanted to be busy making [things],” said Howard, who came to know the Muppets creator well from working on the 2024 documentary about him Idea Man. “That’s what these tools make so available and why they’re so exciting.” When asked about a backlash, Howard said, “You’re talking about change and people are worried about it. I’m worried about it, on a professional level. But again, our job is to experiment with it and learn from it and work with it,” adding, “It’s going to evolve. And audiences are going to tell us.”
- 24
@mark_k ·
Since Seedance 2.0 launched, the AI video scene has gone strangely quiet. Competing models have released almost nothing in months. No updates, no new versions, no visible progress from the rest of the field. It used to be different. Not long ago, Hailuo Minimax, Runway, Luma, and Veo rotated frequent improvements, keeping the space competitive with no single leader for long. Now, as Seedance prepares for version 2.5, its former rivals remain silent. There’s no sign they’re catching up or planning anything new. Development on those models seems to have simply stopped. Is development of the other video models still happening at all?
- 25
- 26
@shushant_l ·
10 best AI video generation models: 1. Happy Horse 1.0: Uses advanced motion synthesis, multi-shot storytelling, seamless transitions, and realism. 🔗 https://t.co/jOvX5qC4cQ 2. Seedance 2.0: ByteDance’s multimodal AI video model that generates cinematic video with native audio from text, image, video, or audio inputs. 🔗 https://t.co/rttUGO13Wi 3. Google Veo 3.1: Google’s AI video model for generating short, high-fidelity videos with native audio from text or images. 🔗 https://t.co/ByOwhtRzkV 4. OpenAI Sora 2 Pro: OpenAI’s premium video model that generates realistic videos with synchronized audio from text or images. 🔗 https://t.co/h6TmT6ewmA 5. Grok Imagine: xAI’s video model for generating short videos from text or images, with synced audio. 🔗 https://t.co/DpLlXy8xeq 6. Wan 2.7: Alibaba’s AI video model for short, controllable clips from text or images, with features like frame control and audio sync. 🔗 https://t.co/KQVJFEsLUA 7. OpenAI Sora 2: OpenAI’s most advanced video model, making realistic, physically accurate videos with synchronized audio. 🔗 https://t.co/w4uIPGlELp 8. Runway Gen-4.5: Runway’s flagship AI video model for generating cinematic, highly realistic clips with strong motion quality and prompt adherence. 🔗 https://t.co/sP1NxAPuVz 9. PixVerse v6: AI video model that generates up to 15-second 1080p clips with native audio, multi-shot storytelling, and stronger camera control. 🔗 https://t.co/1ycLSGOIV4 10. Kling 3: AI video model that generates short, cinematic videos from text or images, with strong motion and audio sync. 🔗 https://t.co/0OhaAjgpOu
- 27
@wayneyap ·
I spend over $1500 per month using AI. List of most useful AI tools (as of Oct 1st 2025): 1. Image Creation MidJourney – aesthetic and stylish images Seedream 4.0 – very strong prompt adherence; accurate edits and face fidelity Nano Banana – image editing and touch-ups 2. Video Creation & Animation MidJourney - smooth, aesthetic image-to-video; supports motion prompts and end-frame/looping Wan 2.5 – dramatic, cinematic videos Wan 2.2animate – motion transfer/character replacement (copy actions realistically) Hailuo 2 – first-frame to last-frame storytelling Veo 3 – high-precision, instruction-following with strong real-world physics Sora 2 – high realism and physical accuracy; native video and audio generation 3. Voice & Speech Wispr Flow – speech-to-text (day to day talking to my computer) ElevenLabs – text-to-speech and voice cloning 4. Avatars & Talking Heads HeyGen – cloning avatars and getting them to speak Hedra – turning a single image into a talking video 5. LLMs Claude Sonnet 4.5 – copywriting and long-form text GPT5 – fast day-to-day chatting Gemini 2.5 – deep research, reasoning and multi-modal uses (to understand images and videos) Grok 4 – handling extremely large context windows (long transcripts, books, datasets) Perplexity – research for quick answers with citations 6. Others RunwayML – rotoscoping (subject isolation) and background tone/color edits Suno – AI music generation Canva – background removal and removing captions from images n8n – workflow automation and integrations
- 28
@shushant_l ·
🚨 BREAKING: Runway AI launched Runway Characters and most people haven’t realized what this means yet. These are real-time intelligent avatars you can deploy inside apps, websites, and products. They can have a conversation. Here’s what they can do: → Hold real-time conversations → Use custom voices and personalities → Access bespoke knowledge bases → Integrate anywhere via API For years the internet looked like this: → Pages → Forms → Chatbots Now it might have this too: → Characters The AI avatar market is projected to cross $500B by 2030. And the interface of the internet is shifting: Click → Type → Talk Companies that understand this shift early will build products that feel alive.
Watch video
- 29
- 30
- 31
@arohaAIX ·
❤️ Runway 🎧 Spent some time last night testing the new Story Panels app and the level of detail is exceptional 🔥👌🏼 Thanks to @IXITimmyIXI for providing the base image which was used to create all of the other images! UHD version YT link in 🧵
Watch video
- 32
@RichKleinAI ·
"Dreamy Worlds" World-building with Runway and Seedance 2 is so much fun. I was testing some looping sequences for a short fantasy story idea, and it's going in some interesting directions.
Watch video
- 33
@minhsmind ·
Every interface, feature, workflow, app, modality are getting copied into existing AI creative platforms faster than ever. ComfyUI was the leader in node-based workflows for a year or two before Weavy and Flora and others came onto the scene. 6-9months later, Krea, Runway, Freepik, etc. all have node-based workflows. In early 2026, we started to see rumblings of agentic models for creation. Luma Agents, OiiOii, CapCut/Dreamina, Flora, Runway, (we've also seen lot more in stealth) etc. have all launched agentic workflows (btw, this is distinct from multi-shot, which Sora2, Seedance, Kling, etc. are capable of) within the last 2 months. Layering chat on top of workflows to make AI creation feel more seamless is now getting commoditized fast. This is felt even more distinctly in the pure software space. It's so easy to take an interface and remix it, reverse engineer it, etc. I'm genuinely not sure what keeps users around, as a result: marketing and discounting tokens? That can't last forever. Users are notoriously disloyal post-ChatGPT. For AI creation workflows, this is profoundly exciting, because I don't think we've hit yet at the stickiest modality to harness the power of the foundation image and video models. But this also means the AI companies have to ship SUPER fast to keep their users' attention spans and address their creative needs.
- 34
@arsh_goyal ·
I shot one clip of a product. Got 6 different color variants from it. No reshoot or editor. Just a text prompt inside Runway's Aleph 2.0. Here's the whole workflow.
Watch video
- 35
@heystevetan ·
The finale of OpenAI vs Anthropic has already begun and nobody's talking about it. The AI race is in its endgame and the labs have taken polar opposite positions on distribution. Both competitors are quietly building their arsenal for D-day: Their IPOs. OpenAI is already stacking its superapp and the latest addition is Runway on ChatGPT. Ask ChatGPT to write a video script, call Runway directly through MCP. Make edits there and then. No copy-paste and tab switching required. While this may not look like a revolution, it signals a huge shift. OpenAI may have all the distribution but none of it justifies its IPO valuation. So they're creating this superapp to offset those worries. Just a week ago, OpenAI acquired Ona, a cloud agent startup to fast-track Codex's local to cloud deployment cycle. This means anything built on OpenAI architecture risks losing business. Wrappers, integration platforms and anything that can become the Superapp's niche. The market failed to pick this up, but this can spell disaster for founders and builders too dependent on ChatGPT. On the other hand, Anthropic has made a counterintuitive bet by listening to the customers. Anthropic is officially taking back their decision to ban programmatic use of Claude Code subscription quota, something long criticized by users. This extends their subscription to a wider range of applications, leaning more into being an infrastructure provider rather than a superapp. We pivoted from Claude Agent SDK to a multi-model agent, so that we were more versatile moving forward and not tied to only one model. But this move from Anthropic has me thinking. They know their users really well. I'd still recommend not being tied to just one model, because when AI giants collide, it's generally the users who are swept away in the undercurrent. While OpenAI is trying to be a jack of all trades, Anthropic is betting on its core customer: the enterprise. It's like watching Apple vs Android all over again. Two very contrasting approaches to distribution. Winner takes everything. Let's see how it plays out.
- 36
- 37
@JeepersMedia ·
Netflix just rejected an $83 billion library. Then bought a 16 person AI company. That tells you exactly where media is going. For years the industry believed the future was buying old IP. Massive libraries. Legacy catalogs. Decades of content. But most legacy IP is not automatically valuable. If it has not been curated, maintained, or actively developed, it becomes expensive nostalgia rather than a living franchise. Some studios built entire strategies around stockpiling libraries and hoping the value would compound. Netflix just signaled a different path. Instead of spending $83 billion on a legacy catalog from Warner Bros., they preserved their balance sheet and quietly acquired a stealth AI startup called InterPositive. A 16 person team that has spent four years building production AI focused on the post production pipeline. That decision says a lot about how the economics of entertainment are changing. Netflix spends roughly $20 billion per year on content. Post production and VFX typically consume 20 to 25 percent of a production budget. That means about $4 to $5 billion a year flows through color correction, relighting, environment work, and continuity fixes. If InterPositive can reduce even a small portion of that workflow, the savings compound across the entire slate. But the real strategic shift is not just cost. Ted Sarandos said it clearly in 2024. The goal is not simply to make content cheaper. The goal is to make content better. InterPositive’s model is trained on a production’s own dailies. It can adjust lighting, repair continuity issues, and help filmmakers refine shots inside the existing pipeline. Instead of replacing creators, it accelerates the craft. That approach is fundamentally different from models like Sora, Runway, or Kling that generate clips directly from prompts. Those systems create content from scratch. InterPositive enhances what filmmakers already shoot. Which brings us back to the bigger strategy. Libraries look powerful on paper. But in today’s fragmented entertainment landscape, the real advantage is creating new franchises designed for the modern audience from day one. Fresh IP. Built for global distribution. Designed for expansion across film, series, games, and interactive media. AI does not just reduce production costs. It lowers the barrier to developing entirely new worlds and characters that can grow into the next generation of franchises. Netflix did not buy the past. They invested in technology that helps them build the future. Wolf Mike Mozart
- 38
- 39
@JulianGoldieSEO ·
𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝟰.𝟱 𝗮𝗱𝗱𝘀 𝗯𝘂𝗶𝗹𝘁-𝗶𝗻 𝘃𝗶𝗱𝗲𝗼, 𝗺𝘂𝘀𝗶𝗰, 𝗮𝗻𝗱 𝗮 𝗺𝗲𝗺𝗼𝗿𝘆 𝘀𝘆𝘀𝘁𝗲𝗺 𝘁𝗵𝗮𝘁 𝗿𝘂𝗻𝘀 𝘄𝗵𝗶𝗹𝗲 𝘆𝗼𝘂 𝘀𝗹𝗲𝗲𝗽 𝗮𝗻𝗱 𝗺𝗮𝗸𝗲𝘀 𝘆𝗼𝘂𝗿 𝗮𝗴𝗲𝗻𝘁 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. This isn't a patch. It's a full platform shift. Here's everything that matters: → Video generation built in. Ask your agent to make a video. Grok, Wan, or Runway handles it natively. No third party pipelines. → Music generation built in. Google LIA and Minimax bundled. Agent produces audio tracks directly inside its workflow. → Dreaming memory system runs every night at 3am automatically. Light, deep, and REM phases. Agent learns which messages get replies, which follow-ups work, and consolidates that into long-term memory without you doing anything. → Structured task progress. Clients can now watch every step happen in real time instead of staring at a loading spinner. → Prompt cache stabilized. Cache breaks less. API costs drop. Agent responds faster. 6 months ago OpenClaw was a chat platform with strong agent features. Now it's a full media and automation studio that runs inside your business. Your agent holds conversations, generates video and music, remembers what matters, tracks its own progress, and runs in the background while you focus on everything else. The gap between "I have an AI agent" and "my business runs on AI" just got a lot smaller.
Watch video
- 40
- 41
@Creator_Toolbox ·
Runway launched an Ad Concepter App. This allows you to generate ad concepts, compositions, and story beats from a single prompt, reference image, and product shot.
Watch video
Best Tweets by Topic