Model Releases & Access
Model launches, capabilities, modality support, and open-source or local-video-generation releases.
34%
Best tweets about AI Video Generation
50 Best Tweets About AI Video Generation (2026)
Browse the best tweets about AI video generation, featuring models, prompts, filmmaking workflows, benchmarks, creator experiments, and results.
AI-generated video models, prompting, editing workflows, visual quality, consistency, production use, and creator experiments.
- Creators
- 44
- Updated
Original Xholic analysis
What 50 top AI Video Generation posts reveal
The 50-post dataset is predominantly supportive (74%) and announcement-heavy (54%). It documents practical AI-video workflows involving prompting, references, short-scene generation, and editing, alongside model-release and benchmark activity. The evidence also contains caution about deceptive content, scientific correctness, long-form production cost, and uneven output quality. Media posts had a higher median all-time score than text-only posts (19.716 versus 7.973).
- Dominant tone
- Positive
- Median score
- 19.4
- Leading format
- Announcement
- Recent posts
- 32%
74% of posts
All-time engagement
54% of posts
Published in 90 days
Conversation map
The themes creators return to
AI Filmmaking Workflows
AI filmmaking workflows for short films, series, ads, and long-form productions, including human creative direction.
30%
Benchmarks & Competition
Benchmark rankings, state-of-the-art claims, and comparisons of video-model quality, speed, and price.
22%
Production Economics & Scaling
Production economics, compute and credit costs, generation speed, scaling, and automation of video pipelines.
20%
Video Quality & Reliability
Visual realism, motion, physics, audio, dialogue, character consistency, prompt adherence, and other quality limitations.
18%
Creator Experiments & Formats},{
Creator experiments and emerging AI-native formats, including time-travel vlogs, UGC, action shorts, and interactive worlds.
14%
Prompting & Shot Control
Prompt techniques for camera direction, shot design, motion, framing, and image-to-video control.
14%
Editing & Post-Production
Video editing, multi-shot generation, post-production changes, and controllable asset replacement.
12%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 74
- Median reposts
- 8
- Median replies
- 8
- Median views
- 7K
Posts with media make up 86% of this collection. Their median all-time score is 19.7, compared with 7.97 for text-only posts.
Format mix
- Announcement 54% · score 29.5
- Tutorial 18% · score 17.2
- Opinion 12% · score 13.9
- Case Study 10% · score 3.74
Consensus and debate
Where creators agree, and where they do not
Shared view
Uses extend beyond standalone demos
Posts describe AI video being used or explored for films, series, and navigable-world workflows. One post also frames human creative direction as important to the resulting work.
Shared view
Workflow is a recurring creative focus
Creator posts describe a staged process: plan or break work into shots, establish imagery or composition, generate short scenes, and finish with edits, pacing, transitions, or sound.
Shared view
Competition spans multiple modalities
Model announcements and leaderboard posts compare systems across text-to-video, image-to-video, video editing, audio, and multi-input generation rather than presenting a single quality dimension.
Shared view
Realism does not resolve reliability concerns
The evidence includes concerns about deceptive AI video, scientific correctness, and counting accuracy. Realistic-looking output alone does not establish reliability for these uses.
Open debate
Views on production readiness differ
Some posts point to TV production use or film-festival acceptance as signs of adoption. Others describe long-form AI production as costly and difficult, with limitations in acting, dialogue, editing, and consistency.
Open debate
Cost claims vary sharply
One post claims $100,000,000 in savings from an AI movie. Other posts report substantial compute, credit, and labor demands for long-form projects, including a $500,000 production estimate and 398,055 Seedance credits for six episodes.
Open debate
Model momentum coexists with hype-cycle caution
Posts pair rapid model and leaderboard claims with a cautionary account of Sora’s reported shutdown and a traffic-tracking post following that announcement. This evidence supports contrasting views of momentum and market durability.
What performs
Patterns behind standout posts
Posts with media had a higher median score
Media appeared in 43 of 50 posts (86%). The media median all-time score was 19.716, compared with 7.973 for text posts. The five listed score outliers were tweets about AI-video policy, open-model access, an AI-native format, an AI-film platform, and reported TV/film production use.
Release and benchmark themes had high median scores
Model Releases & Access was the largest theme at 34% (17 posts), with a 41.984 median all-time score. Benchmarks & Competition accounted for 22% (11 posts) and had a 29.506 median.
Announcements led the format mix
Announcements represented 54% of posts and had a 29.506 median all-time score. Tutorials represented 18% and had a 17.216 median. The cited tutorials include workflow, tool-stack, and prompting examples.
AI-video authenticity policy was the largest outlier
The highest-scoring outlier was the policy post on disclosure of AI-generated armed-conflict videos, with an all-time score of 5,048.13. Its score was 260.75 times the dataset median.
Statistical standouts
- View standout post 1 Score 5048.1 · 260.75× median
- View standout post 2 Score 873.6 · 45.12× median
- View standout post 3 Score 851.1 · 43.96× median
- View standout post 4 Score 750.0 · 38.74× median
- View standout post 5 Score 333.4 · 17.22× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Alexandra Aisling
@AllaAisling
2 posts
-
2. Design Arena
@DesignArena
2 posts
-
3. GMI Cloud
@gmi_cloud
2 posts
-
4. Jerrod Lew
@jerrod_lew
2 posts
-
5. Chubby♨️
@kimmonismus
2 posts
-
6. X Freeze
@XFreeze
2 posts
Prompts are used for shot direction
Prompt examples specify camera height or movement, framing, lighting, palette, and motion. These posts show creators using prompts to describe shot direction in detail.
Editing-oriented features are emphasized
Posts highlight multi-shot generation, dialogue and sound effects, cinematic framing, and asset replacement. They present editing-oriented features as relevant to scene construction and post-production.
Creators combine generative and editing tools
Several creator examples combine generative tools with CapCut, compositing, traditional VFX, or other post-production work rather than relying on one model alone.
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 50-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 AI Video Generation tweets
Top AI Video Generation tweets from 44 creators
Ranked 01–50
- 01
@nikitabier ·
Today we are revising our Creator Revenue Sharing policies to maintain authenticity of content on Timeline and prevent manipulation of the program. During times of war, it is critical that people have access to authentic information on the ground. With today’s AI technologies, it is trivial to create content that can mislead people. Starting now, users who post AI-generated videos of an armed conflict—without adding a disclosure that it was made with AI—will be suspended from Creator Revenue Sharing for 90 days. Subsequent violations will result in a permanent suspension from the program. This will be flagged to us by any post with a Community Note or if the content contains meta data (or other signals) from generative AI tools. We will continue to refine our policies and product to ensure X can be trusted during these critical moments.
- 02
@akshay_pachaar ·
The first truly open-source audio-video model. LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model. Designed to run locally on consumer GPUs. - text-to-video - image-to-video - and video-to-video modes 100% open-source.
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- 03
@itsolelehmann ·
i'm addicted to these AI time travel vlogs right now haha it's one of the best AI video generation use cases I've seen, and this girl Chloe is especially great at creating them. some of my favorite examples: NYC, 2056
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- 04
@higgsfield ·
🧩 We just saved $100,000,000 in 4 days making this AI movie Introducing Higgsfield Original Series - world's first complete AI streaming platform showcasing next generation AI filmmakers. Discover AI films and series and vote on which of the teasers gets continued. Revolution in AI filmmaking just happened - Ep. 1 of Arena Zero debuted on Higgsfield Original Series OST: Dirty Ctrl - DEM
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- 05
@kimmonismus ·
So it starts: Generative AI video is no longer just a demo. Kling is now being used in real TV and film production. House of David is the first Hollywood production to openly discuss using AI video generation at an industrial level. The show has reportedly reached over 44M viewers worldwide, ranked among the top 10 new series debuts in the U.S., and hit #1 on Prime Video in the U.S.
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- 06
- 07
- 08
@openart_ai ·
LTX-2.3 is now live on OpenArt. 🎬 The most capable open video model just got a major upgrade and you can use it right now. What's new in 2.3: → Sharper fine detail: Hair, textures, text, edges. All of it. → Tighter prompt adherence: Complex multi-subject prompts? Handle it. → Stronger image-to-video: less freezing, less Ken Burns drift, more actual motion. → Cleaner audio: fewer artifacts, tighter sync across text-to-video and audio workflows. → Native portrait: up to 1080×1920, trained on vertical data.
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- 09
@kimmonismus ·
1/ Text2Video was yesterday; Audio2Video is the new big thing! Following the huge success of their open-source text-to-video model, @LTXStudio is following up with another massive release: Audio-to-Video. Here are some outstanding examples🧵
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- 10
@techhalla ·
This is huge for AI filmmaking. you can create a 3D navigable world from any image with OpenArt Worlds, take shots and integrate characters! Here's how 👇
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- 11
@ArtificialAnlys ·
SkyReels V4 takes the #1 spot in Text to Video With Audio in the Artificial Analysis Video Arena, surpassing Kling 3.0 and Veo 3.1! SkyReels V4 is the latest video generation model from @Skywork_ai, marking a major shift from their previous avatar-focused models to a full multimodal video generation system supporting Text, Image, Video, and Audio inputs. The model generates up to 15-second videos at 1080p resolution with native audio support. SkyReels V4 also performs strongly across other modalities, ranking #2 in Text to Video without Audio, #4 in Image to Video with Audio, and #7 in Image to Video without Audio. The model is priced at $7.20 per minute with audio and $8.40 per minute without audio, positioning it below Kling 3.0 1080p Pro (~$20/min with audio) and Veo 3.1 ($24/min with audio), though at a premium over Grok Imagine at $4.20/min with audio. SkyReels V4 is available via the @SkyReels website, with both a web app and API access. SkReels V4 Omni will be released soon. See below for example generations of SkyReels V4 in the Artificial Analysis Video Arena 🧵
- 12
@grok ·
Imagine Video 1.5 launched last month as our best video model yet, with more lifelike motion and sound. Today it goes even further with text-to-video support, image and voice references, and native 1080p. https://t.co/OWP5rCxlru
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- 13
- 14
@deedydas ·
This is the best scene in Hell Grind, an entirely AI-made movie, the flashback. Watch it and read this analysis on where we are with AI movies today: time, cost, quality. Overall: Phenomenal technical demo by Higgsfield. Mediocre movie. Good graphics, hints of emotion, but superhero movie level quality in certain scenes at best. Too many cuts. That said, 660x fewer man hours, 50x faster and 36x cheaper than the median US film. Time: The 95 min film took 15 people 14 days. The median US theatrical production takes ~200 people ~2yrs. That’s a 660x improvement in man-hours and 50x in calendar time. Economics: It took $500k, 80% of which was compute. The final footage was cut from ~100hrs of footage generated from text to video / image to video models like Bytedance’s Seedance: a 64:1 “curation” ratio. The median US movie takes ~$18M, with even indie films costing $1-5M. Thats 36x cheaper than median. Quality: Average watch *at best*. Way too many cuts between shots, several characters change accents and have “AI” synthetic voices and characters feel like it’s AI too. Movement, editing and blocking feel artificial too. On the plus side, we’ve more or less solved character consistency, camera angles and realism. The reason the movie wasn’t amazing was more about poor directorial choices than innately unusable video models. Hard to put a number on it but maybe we’re at ~90% on quality that is technically achievable. If Scorsese made an AI movie, I reckon it would be quite good. I know the visceral reaction to anything AI is real and well-studied. But I think it’s folly to fight the inevitability of AI film. It’s too cheap and quick to ignore and almost there on quality. Creators with distribution *will* make AI films and shows and just put them on YouTube. This is the worst quality, slowest and most expensive it will ever be. In the end, good content beats “real” content.
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- 15
@GordonWetzstein ·
📢Introducing Generated Reality📢 A world model for XR that turns your tracked hand and head poses into an interactive, generative video experience. Take world models to the next level by interacting with the world using your own body! 🔗https://t.co/bgDDO8Laix 1/4
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- 16
@XFreeze ·
Grok Imagine Video 1.5 Preview has took the #1 spot in image-to-video generation on Design Arena • #1 overall with a 1357 Elo rating 🥇 • 49-point lead over the next-best model • Establishes a new Pareto frontier in quality, speed, and cost • Average generation time: just 41.2 seconds What makes this especially impressive isn’t just the ranking xAI is simultaneously improving model quality, reducing costs and increasing generation speed That combination is exceptionally difficult to achieve The progress of Grok Imagine over the past few months has been remarkable
- 17
@RichKleinAI ·
It's been fascinating to watch the generative AI video community grow so rapidly over the past few years. During that time, I've bookmarked countless milestones, short films, and created a few of my own. Yesterday, I finally sifted through everything, did some extra research, and published it all on https://t.co/G7kWigQQbY (a visual timeline of the evolution of generative video from my perspective). The project gave me an opportunity to look back at key milestones — model releases, festivals, and most importantly, the creative work from this community that impacted me the most. As I put it all together, it was striking to see the evolution of generative video from its early days (just a few years ago) to the present. This project isn't a comprehensive history of AI in film or an encyclopedia of every AI film ever made. It's more of a personal collection of notable films and milestones (along with some of my own work) throughout the eras. Special thanks to @Diesol, @TheReelRobot, @henrydaubrez, @dustinhollywood, @BLVCKLIGHTai. Your work has inspired so many creators, and I referenced many as examples throughout the timeline to show the evolution of the different models. If you have any feedback or notable examples that I missed, please feel free to share. I used my personal bookmarks for many of the references. Enjoy!
- 18
@Similarweb ·
Following the announcement of Sora’s shutdown, here’s how standalone AI video generation traffic evolved over the past 12 months. Sora traffic includes only its official domains (https://t.co/vMIIVocu4Y and https://t.co/8p96loFZ4D). Grok Imagine reflects activity on https://t.co/gaxv74n1YA.
- 19
@jerrod_lew ·
Seedance 2.0 image to video on Runway. Freeze frame style footage with camera movement and some multi-shot. Here's the prompt: Use image as the starting frame for a single, continuous shot in freeze time. The camera dramatically weaves through the completely frozen scene.
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- 20
@DesignArena ·
BREAKING: Non-Western models overwhelmingly dominate the frontier of AI video generation, as of April 2026. Seedance 2.0 and Seedance 2.0 Fast by @BytePlusGlobal place #1 and #2 across three of the four Design Arena video leaderboards: Video Arena, Image-to-Video Arena, and Multi-Image-to-Video Arena. Wan 2.7 Video by @AlibabaGroup takes first place on Video to Video Arena. The landscape has been completely reshaped in a matter of weeks. Huge congrats to the @BytePlusGlobal and @Alibaba_Wan teams on defining the new state of the art.
- 21
@venturetwins ·
Editing is so underrated as a feature of generative video models. This is a great example from Seedance 2.5 - replicating a Timberland ad exactly and just swapping out the shoes. Imagine the use cases here in advertising and even post-production - no more reshoots needed!
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- 22
@runwayml ·
The Multi-Shot App makes it easy to go from a simple prompt to a thoughtfully crafted scene. All with dialogue, sound effects and cinematic framing. Start from an image or go purely Text to Video. Available now in the App drawer on the web app.
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- 23
@dustinhollywood ·
ECLIPTIC Episodes 1-6 used 398,055 total @capcutapp + @dreamina_ai + @stages_ai Seedance 2 credits. That is only Seedance. For video I also use @imagine, @Kling_ai v3 + LipSync, and @Hailuo_AI v2.3. For image generation feeding image-to-video: @midjourney v8 + @reve + @imagine + Seedream v5. Each episode is roughly 180-220 shots across 113 total scenes. I wrote it like a film first, then broke it apart by story beats so each episode escalates and lands the way it needs to. I cannot give an exact cost because I am leaning on as many resources as possible in CPP and STAGES, but it is a lot. That is the point. This should give real pause and context for what it actually takes to produce good long-form AI content at a serious level. People talk about this space in vague or unrealistic terms, but the truth is simple: it is incredibly difficult and very expensive. True video quality that consistently passes the smell test really only just arrived with Seedance. Earlier models were exciting, useful, and sometimes good enough for tests or certain shots, but not there yet for scalable long-form production people would literally pay to watch that could be considered feature level and totally AI-generated, I wouldn’t even say my own work prior to this was.. Now, finally, it is. That is the pricing context people should think about when they talk about features, series, and sellable AI-native narrative work. Stop thinking in clips, start thinking in project lengths. Start with Seedance, then layer in the cost of the other models for inserts, establishing shots, emotional story-progressing beats, transitions, and VFX shots that do not need Seedance and then image generation. Most other models mainly still fall short in acting, emotional storytelling, and dialogue. For many other shot types they already perform well. We have had strong VFX, transitions, and cinematic motion for a while. What was missing was true all-in-one shot quality, consistency, prompt adherence, emotional acting, and the realism of intense dynamic motion and physics. I would say SORA had some of that, but who cares, they killed it. 🫣😬🤣 And regardless of how many people like VEO, it was 100% not up to the smell test. So when people ask whether a feature film can be made this way and be sellable to the public, these things matter. Not our emotions. Not our opinions. Nothing is free. Even open source comes with major tradeoffs, and the biggest cost is often time, on top of hardware. No matter how you slice it, AI-generated work at scale, at actual quality-pass levels, is not cheap. There are many ways to skin a cat, but this is the highest-quality production stack I have found right now, excluding voice, because I think voice will gradually stop being such a headache as integrations improve and process flow becomes more controlled. That said, the people and studios who can actually do this well have a serious edge over traditional filmmaking. But this is not easy either. And anyone imagining this whole process can just be automated should get that out of their head. The second you automate taste, taste disappears, ALWAYS. AI is still extremely bad at creatively writing because it is derivative by nature, so anyone trying to have it do the real creative heavy lifting for them is going to fail 100%. Humans consume this work, not other sycophant computers 😬🤣 and people can smell bullshit fast, they do that very well now, lol. All sound design was done with @suno + my custom sound design. I also used @AdobeVideo AE + PR and @stages_ai, with some @1null1 snuck into certain shots to push the VFX further 🔥🎥 This Friday is going to be epic. Season Trailer tomorrow. This Friday April 18th, Episode One ❤️ @NAKIDpictures @escapeaimedia WAR FOREVER was the hardest thing I had done before this, because The Last Artist is still in production or it would be that 🤪🤣 but this takes the cake.
- 24
- 25
@arena ·
Dreamina Seedance 2.0 has landed #1 across the Video Arena for both Text-to-Video and Image-to-Video. This is the score for the 720p variant. Text-to-Video: - #1 model scoring 1450, +79pts over #2 Veo 3.1 1080p - This is a +191pt jump since Seedance-v1.5-Pro Image-to-Video: - #1 model scoring 1449, +29pts over #2 Grok Imagine Video 720p - This is a +145pt jump since Seedance-v1.5-Pro Congrats to the Bytedance Seedance team on this massive leap forward in performance!
- 26
@AllaAisling ·
Prompt Studio: Jet Boat with @Kling_ai 3.0, text to video, native audio The jet boat detonates off a standing wave, hull slapping flat onto green water. Bow-height camera faces forward, the hull centerline sharp while canyon walls streak into red and ochre ribbons on both sides. The river bends hard, the boat pivots on the jet, rooster tail swinging wide, the hull broadside for a beat before it hooks up. Camera drops to water level, catching the spray wall with the canyon wall filling the background. Then wide: the river slot from above, walls a hundred feet high, the boat a white scratch on the green water. Late sun cutting a single bar of gold across the canyon floor. The wake erases itself around the bend. Ochre sandstone and white hull, late canyon light, Colorado River palette, hyperreal marine photography, motion blur on water and rock, frozen clarity on fiberglass and spray.
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- 27
@jerrod_lew ·
Runway Multi-Shot is fantastic. Here's a quick tutorial for how to get started and the different ways you can prompt the tool. My recommenation is image-to-video, custom multi-shot and create a 10-15 second video. Have you tried it yet?
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- 28
@He1s_Sammy ·
THIS IS GETTING WILD A group of Chinese developers just open sourced a tool that can turn a single photo into a realistic talking AI video. And unlike many AI avatar platforms that lock this behind a monthly subscription, this one is completely open source. The workflow is ridiculously simple: → Upload a photo. → Add an audio file. → Generate a talking video that can run for several minutes. What makes this interesting isn’t only the output quality. It’s the fact that the technology is becoming accessible to almost anyone. Tools that once required expensive software, specialized equipment, or entire production teams can now be run from an open-source project. AI video generation is moving incredibly fast. The repo is below if you want to explore it.
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- 29
@AllaAisling ·
Prompt Studio: Snowmobile, Alaskan mountain couloir, with @Kling_ai 3.0, text to video, native audio A rider attacks a near-vertical couloir face already at full throttle, the machine running sideways across the slope to hold the line, one ski lifted off the snow. Camera locked at track height on the uphill side, the lifted ski razor sharp, the vast Alaskan valley dropping away below as background only. The slope steepens, the rider commits fully downhill, the machine dropping onto both skis and accelerating hard down the fall line. Camera snaps to face ahead down the couloir, catching the walls closing in and the machine accelerating into the slot. Then wide: the couloir from the peak above, a thin dark line carved by one machine on the vast white face. Alaskan range cold and enormous on the horizon. Snow plume trailing like smoke behind it. White couloir and bright cowl, Alaskan peak light, arctic mountain palette, hyperreal snow photography, motion blur on slope and snow walls, frozen clarity on lifted ski and rider.
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- 30
@XFreeze ·
Grok-Imagine just literally overtook the entire video leaderboard on DesignArena Clean sweep...4 out of 4: 🏆 #1 in Video Arena 🏆 #1 in Video-to-Video 🏆 #1 in Image-to-Video 🏆 #1 in Multi-Image-to-Video Outranking Veo 3.1, Sora, Kling - all of them Just a few months ago, xAI wasn't even in the video generation conversation. Now owns the entire space The speed of progress is insanely fast at xAI
- 31
@zazzygfx ·
Made a cinematic AI sequence about a fungal alien escaping through the streets of Lagos while being chased by police. Used Nano Banana 2 + Seedance 2 inside @floraai , then took everything into CapCut for extra cuts, pacing, transitions, and sound design. Soundtrack: Ozeba by Rema. Still experimenting, not perfect yet, but AI filmmaking is getting crazy. Watch with sound on.
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@RoundtableSpace ·
Someone open-sourced a full Higgsfield AI alternative and people are cancelling their subscriptions the same day they find it. 200+ models. Text to image, image to video, lip sync studio, cinema mode with pro camera controls. All self-hosted, all free. No subscription. No vendor lock-in. Your data never leaves your machine.
- 34
@laszlogaal_ ·
Masaki Mizuno created an awesome video a few months ago exploring the idea of a dancer transforming the buildings around him. He combined compositing, traditional VFX tools, and AI - but I wanted to see if it’s possible to create something similar using only image-to-video prompting. I chose Singapore’s colorful HDB architecture style as the inspiration for the buildings, and while I knew it would be very difficult to achieve that kind of wavy movement with prompts alone, I was amazed by how cool the animations turned out using this method. #klingai
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- 35
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@knoxtwts ·
every ai tool you're paying for monthly will be free or near-free within 18 months kling went from $30/month to offering a $10 tier. midjourney went from exclusive to widespread. basic ai video generation will be commoditized by late 2027 the tools are not the moat. they never were. kling doesn't care if you cancel. they have 10 million other users the moat is knowing which 3 of the 200 available tools actually produce results for a specific client type. the moat is the workflow, not the software people building businesses on "i know how to use kling" are building on sand. people building businesses on "i know how to produce 50 converting ads per week regardless of which tools exist" are building on rock when the tools are free the operators who understand creative strategy will charge more, not less. because the bottleneck was never access to tools
- 37
@HuggingPapers ·
NUMINA A training-free framework that fixes counting errors in text-to-video diffusion models. By analyzing attention maps inside Wan2.1, it ensures "three cats" generates exactly three cats—not two or four—improving accuracy by up to 7.4%.
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- 38
@gmi_cloud ·
Seedance 2.0 is live on GMI 👇 Tips for users: - You cannot mix Image-to-Video (First Frame), Image-to-Video (First/Last), and Multi-modal Reference. Use only one at a time. - For exact image matching, use Image-to-Video (First/Last). Multi-modal Reference only approximates this via prompts.
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- 39
@haoailab ·
Seedance-2 and Kling-3 signal that AI video generation is entering a “photorealistic” era, but realism does not guarantee reasoning and scientific correctness. In the classic breaking dry spaghetti experiment, real fractures arise from elastic energy and stress waves, often producing three pieces. Yet models frequently generate physically incorrect snaps. We introduce VideoScience-Bench to evaluate scientific reasoning in video generation. Most models look convincing but lack true scientific understanding, with only weak signals from Kling-3, Sora-2, and Veo-3. Learn details from our blog 👇🧐🧪 https://t.co/Vm1ncKnm58
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- 40
@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
- 41
@DesignArena ·
BREAKING: xAI and Kling have the strongest video and video editing models, as measured by 50+ video models on Design Arena #1 Video Generation: Grok Imagine by @xai #1 Video Editing: Grok Imagine by @xai #1 Image to Video Generation: Grok Imagine by @xai #1 Multi-Input to Video Generation: O1 Edit by @Kling_ai Congrats to @xai and @Kling_ai for defining SOTA!
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@NainsiDwiv50980 ·
Netflix just wrote a $587M check for Ben Affleck's AI filmmaking company. That's not a headline about celebrities dabbling in tech — that's a market signal. So I spent a weekend seeing how close I could get to the same idea using tools anyone can access, wired together inside Claude Code. Here's the pipeline: > One agent orchestrating every video, image, and music model instead of juggling five tabs > A vision model reverse-engineers the "style contract" from shots that already work — lens, lighting, palette, grain — before generating anything > Higgsfield renders keyframes in bulk first, locking characters and locations into reference sheets before a single frame moves > The agent writes its own shot prompts from one fixed template every time — blocking, camera, lighting, audio, same order, no drift > Seedance 2.0 animates each keyframe as a short, isolated 3–5 second shot — real camera movement, not a slideshow of stills > A fleet of subagents runs generations in parallel under rate limits, with every attempt logged > Final assembly is autonomous: score laid down first, per-clip audio ducked wherever it clashes with the strings, one 4K upscale pass at the end Nobody needed a $587M acquisition to access this. The tools were already sitting there. Full breakdown below. --- Changed: opens on the acquisition as a "signal" rather than the price tag itself, reframes the personal narrative around "a weekend project" instead of "rebuilt from scratch," and closes on the accessibility angle instead of "start yours for free."
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@Morph_VGart ·
just tried a basic goku vs luffy fight with seedance 2.0 text to video. Definitely a big step up in the video ai scene. I see some flaws and would probably rerun this due to those issues and then cut for flow. I do like how it does multishots and the level of detail is great
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@gmi_cloud ·
Fast inference changes AI storytelling. We're partnering with @UtopaiStudios. They're powering cinematic 4K generative video with GMI Cloud’s multi-GPU ComfyUI infrastructure and unified API. Breaking single-GPU VRAM limits delivered 50% lower compute costs, 5x faster inference, and true movie-level 4K.
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@HeyNayeem ·
How to access Dreamina Seedance 2.0 mini in Dreamina? 🧵 A quick guide + why this launch matters for AI video creators. ByteDance has officially released Dreamina Seedance 2.0 mini, bringing high-quality AI video generation to more creators at a much lower cost. Before we get into the pricing and features, here's how to start using it in Dreamina 👇
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@theinformation ·
Ben Affleck’s deal with Netflix was a “turning point” in AI filmmaking, says @SaatchiEdward, CEO of Fable. He goes on to say that “we see a Netflix of AI where people create their own shows, where people create derivative work.”
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@Scobleizer ·
AI video won’t stay a short-clip tool forever. We’ve seen text-to-video and image-to-video get shockingly good. But the real question isn’t just “can it generate pretty clips?” — it’s “what happens when video models can respond in real time?” That’s the shift I’m watching closely. From passive content generation to an interactive layer. https://t.co/LZjRzpuHLz
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@rahulnanda86 ·
New episode from the Rahul & Aly series. What starts as a normal day of them just hanging out quickly turns into something much bigger when they suddenly find themselves caught in the middle of a massive tsunami. What follows is a chaotic, high-speed escape where they have to think fast and improvise their way out of a situation that’s way bigger than them. I won’t say too much about the story — I’d rather you experience the ride yourself. This is a high-action AI short film, created mostly using generative video tools. About 90% of the film was made with Seedance 2, with a few shots done using Kling 3 and Grok Imagine. This project was mainly an experiment in pushing AI tools to create a fast, cinematic action sequence with consistent characters and environments. Hope you enjoy the film.
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@HeyZaraKhan ·
First image-to-video, then text-to-video, and now audio-to-video. The third paradigm in AI video generation is here:
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