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Tag: AI content production

  • AI videos for advertising: Grom TV – Russia’s first generative online TV

    AI videos for advertising: Grom TV – Russia’s first generative online TV

    Mass video generation by neural network is now available in the format of endless online television. GPTunneL launches Grom TV – an innovative platform where anyone can launch their own AI-generated video in just 20-25 seconds. This revolutionizes the concept of creating AI video for advertising and opens new horizons for AI content production.

    Imagine you are the director of your own channel, where your prompt turns into a video in real time. The effectiveness of AI versus real UGC in this format reaches new heights, demonstrating how quickly and extensively content can be generated.

    What is Grom TV and how does it work?

    Grom TV is generative online television where users enter text queries (prompts), and a neural network generates videos based on these queries. Your creations are broadcast live along with clips from other users. This is not just video generation from text; it’s a whole interactive experience.

    Your neuro-production by subscription in real time

    • Visit the website: gptunnel.ru/lab?section=tv
    • Register: The process is as simple as possible.
    • Write a prompt: Enter your query in the chat to the right of the screen.
    • Wait 20-25 seconds: This is the time from entering the prompt until the video appears on air. The generation itself takes about 7.8 seconds.
    • Watch: Your creation is broadcast live.

    For example, you can create a Gandalf and Scooby-Doo crossover, a film noir scene, or a KISS concert with “The Big Bang Theory” characters. The neural network confidently works with different styles, whether it’s Disney plasticity or black-and-white noir, and knows what Homer Simpson looks like without additional explanations.

    Behind the Scenes Technology: How does the neuro-pipeline work?

    Normal video generation is an asynchronous process. Grom TV, however, works live, which requires a completely different architecture. Every millisecond is crucial here so that the broadcast doesn’t “stutter.”

    Secrets of high speed and stability

    One Grom TV video lasts eight seconds with sound, including lip-sync if there is speech. Its generation takes about 7.8 seconds. This means a real-time coefficient of 0.97 — generation is ahead of the broadcast, albeit with a small margin. The entire process runs on one Nvidia B200 chip; sometimes a second one is connected to optimize speed.

    «Scaling was impossible — now it is. A single Nvidia B200 chip allows us to generate about 10,000 unique clips per day without a single repeat. This is the very AI video factory for e-commerce and beyond,» notes the founder of GPTunneL.

    Next, ffmpeg comes into play, which in 0.3 seconds manages to:

    • Adjust playback tempo to generation speed.
    • Apply a «film» style: grain, vignette, soft color.
    • Cut the video into two-second segments for smooth transitions.

    The use of the HLS protocol ensures compatibility with all devices: browsers, VLC, smart TVs. This guarantees that AI avatar with subtitles or AI clips with face replacement will be accessible to the widest possible audience.

    Infinite Content: When the Queue is Empty?

    Grom TV does not stand idle. If the queue of user prompts becomes empty, Grom GPT – GPTunneL’s own LLM model – steps in. It generates plots and feeds them into the broadcast, ensuring continuous transmission. This is like a neural network writing scripts and editing automatically.

    The ability to generate 10,000 unique clips per day without repeats demonstrates unprecedented efficiency. This is much more than a team of 500 people could create, making the AI conveyor of 500 videos per day a reality, not a dream.

    Safety and Moderation: Ethical Deepfake

    Live broadcast does not allow to «rewind», so the moderation system is built to filter unacceptable content before video generation. This ensures an ethical deepfake approach.

    Two Lines of Defense

    1. GromMod: The first filter from GPTunneL. Analyzes the entire prompt and rejects unacceptable content (e.g., violence) even before it is sent to the GPU. Rejection is instantaneous.
    2. Grom at the script stage: The second line of defense. Transforms the user’s request into a safe script for the video model, cleaning out sensitive details and softening formulations, but preserving the creative intent.

    This two-level system ensures that only safe content reaches the model. This is critically important for creating AI UGC for a crypto project or any other niche where reputation plays a key role.

    AI video for advertising: Grom TV – Russia's first generative online TV — illustration 2

    GPTunneL: A Platform for the Future

    Grom TV is a laboratory experiment of the Russian AI platform GPTunneL, which combines over a hundred AI tools for generating text, images, video, music, and voice. The project, which started in 2023, grew into a platform with over one and a half million users by 2026.

    This is a vivid example of what happens when a platform has its own models (video, LLM-moderator, LLM-scriptwriter) and its own hardware. AI video for advertising, mass video generation by neural network, creation of AI commercials – all this becomes accessible and scalable.

    Technically, it is possible to raise the generation quality to full-fledged streams with digital avatars, stable picture, and HD resolution. If a business is interested in a live generative video channel, such a solution can be implemented on a B200 server chip in real time.

    Conclusion: The Future of AI Production is Already Here

    Grom TV is not just an experiment; it’s a demonstration of the principle: generative video can be broadcast live on a single graphics card, and it will be a full-fledged, working channel. From AI UGC for a crypto project to a neural network for UGC advertising – the possibilities are endless. Where to order for crypto? Perhaps this is where the answer begins.

    We continue to refine the pipeline, improve speech quality, splice stability, and moderation. To see this for yourself, visit Grom TV, write your prompt, and become part of this technological revolution. It’s like an analog of Synthesia, but live and with the ability to generate 100 videos per day!

    Frequently Asked Questions

    How much does one AI creative cost in Grom TV?

    As part of the Grom TV experiment, video generation is available for free. The cost of 1 minute of AI video in commercial solutions will depend on the complexity of the request and the volume.

    Can Grom TV be used to create AI videos for advertising?

    Yes, Grom TV demonstrates the potential for mass video generation by neural networks, which is ideal for creating AI commercials. In the future, specialized B2B solutions may be developed.

    What is a real-time coefficient of 0.97?

    This means that the video generation time (7.8 seconds) is slightly faster than the clip’s duration (8 seconds), ensuring stable live streaming without delays.

    How does GPTunneL ensure content moderation?

    GPTunneL uses a two-level moderation system: GromMod filters out inappropriate prompts before generation, and Grom softens formulations at the script stage while preserving the creative intent.

    Where can I order mass video generation for crypto?

    Grom TV is currently a demonstration platform. For commercial inquiries regarding AI UGC for a crypto project and mass video generation, it is recommended to contact GPTunneL directly to discuss B2B solutions.

  • New Anthropic AI Models: Fable and Mythos 5.1 — Cheaper, Smarter, Safer

    New Anthropic AI Models: Fable and Mythos 5.1 — Cheaper, Smarter, Safer

    New Anthropic AI Models: Fable and Mythos 5.1 – Cheaper, Smarter, Safer

    Anthropic has introduced new versions of its advanced AI models to the world – Fable and Mythos 5.1. This is not just an update, but a real breakthrough in the field of neuro-production by subscription and mass video generation by neural network. Key changes include a significant reduction in token costs and fewer false positives from safety mechanisms, making these neural networks an ideal tool for AI video for advertising and creating AI commercials.

    Are you ready to learn how these innovations can transform your business, making content production more accessible, efficient, and secure? Let’s dive into the details and see how Fable and Mythos 5.1 are changing the game in the world of artificial intelligence.

    Revolution in AI Cost and Access

    The most important change in Fable is cost optimization. Now, the cost of 1 minute of AI video becomes even more competitive. Fable 5.1, the open version of the model, is already available on cloud platforms and via the Anthropic API.

    This opens new horizons for companies looking to scale the impossible – for example, generating 100 videos or even an AI conveyor of 500 videos per day for e-commerce.

    Zero Data Retention and Enhanced Privacy

    • Anthropic has implemented the concept of Zero Data Retention, allowing clients to run models on their own infrastructure without data leakage. This is critically important for projects where privacy is paramount, such as AI UGC for a crypto project.
    • In June, the high-privacy service Enterprise Frontier Safeguards will be launched. It will allow clients to control AI usage monitoring while maintaining security.

    “Anthropic has never trained on enterprise data without explicit permission and never will,” company representatives stated, emphasizing their commitment to data protection.

    Performance and Capabilities of Mythos 5.1

    The Mythos 5.1 model, designed for registered cybersecurity and life sciences partners, demonstrates record-breaking benchmark results. For example, in Terminal-Bench 4.0 (CLI-based encoding) and Humanity’s Last Exam (general reasoning), it exceeded expectations.

    Scientific Discoveries and Ethical Aspects

    • Anthropic also unveiled three new scientific discoveries made by the models before their release, including GPU optimization and a highly detailed map of Venus.
    • The Mythos system card rates the model as “low-risk” in the context of automated AI development, which is important for human control over technology.

    While Mythos 5.1 is slightly more prone to “off-target behavior” compared to Opus 5, it is significantly better than Mythos 5 and Claude Sonnet 5 in terms of ignoring limitations and hallucinations.

    “It is more willing to cooperate with human misuse and accept unverified claims of authority than Opus 5, but less often ignores explicit limitations, hallucinates inputs, or falsely claims to complete tasks than previous models,” the system card states.

    Business Applications: From Crypto to E-commerce

    These new models open up unprecedented opportunities for businesses. Text-to-video generation, AI avatar with subtitles, AI voiceovers, AI clips with face swapping — all of this is now more accessible.

    Companies can use Fable 5.1 to create AI UGC for a crypto project or to launch an AI video factory for e-commerce. The effectiveness of AI versus real UGC significantly increases, reducing costs and time for content production.

    Новые ИИ-модели Anthropic: Fable и Mythos 5.1 — дешевле, умнее, безопаснее — illustration 2

    Our service offers neuro-production by subscription, using such advanced models. Find out how much one AI creative costs and how AI content production can transform your marketing. Where to order mass content generation for crypto or e-commerce? We are ready to help you scale the impossible.

    Frequently Asked Questions

    What is Zero Data Retention in Anthropic models?

    Zero Data Retention is a feature that allows customers to run Anthropic AI models on their own infrastructure, ensuring that no data leaves their protected environment. This is critical for companies with high confidentiality requirements, such as financial or medical institutions, as well as for AI UGC for a crypto project.

    How does Fable 5.1 reduce video generation costs?

    The reduction in token costs in Fable 5.1 directly decreases the operational expenses of using the model. This makes mass video generation by neural network, including creating AI commercials and an AI pipeline of 500 videos per day, significantly more economical and accessible for a wide range of companies striving for high efficiency in AI versus real UGC.

    What advantages does Mythos 5.1 offer Anthropic partners?

    Mythos 5.1 offers partners in cybersecurity and life sciences enhanced performance and accuracy in complex tasks. The model demonstrates record-breaking results in benchmarks such as Terminal-Bench 4.0 and Humanity’s Last Exam, enabling more complex research and analytical tasks. Its capabilities for text-to-video generation and AI avatar with subtitles also expand possibilities in specialized applications.

    Can Fable 5.1 be used to create UGC content for advertising?

    Yes, Fable 5.1 is ideal for neural networks for UGC advertising. Thanks to reduced costs and improved performance, companies can effectively create AI videos for advertising, including animated AI characters and AI clips with face swapping, which can surpass traditional UGC in quality and effectiveness, while significantly reducing production costs. This allows for scaling the impossible in advertising campaigns.

    Conclusion

    The release of Fable and Mythos 5.1 by Anthropic is a significant step forward in the development of artificial intelligence. These models are not only cheaper and more productive but also offer an unprecedented level of privacy and control.

    If you want to know how much one AI creative costs or where to order advanced AI content production for crypto, contact us. We will help you use these innovations for mass video generation by neural network and achieve your business goals. It’s time to scale the impossible!

  • AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    In the world of digital marketing, more and more evidence is emerging that artificial intelligence is not just a passing trend, but a real tool for improving efficiency. A recent A/B test conducted by kitchen appliance brand Cuisinart clearly demonstrated that AI video for advertising can outperform traditional production on key metrics. The brand, owned by Conair, compared a video created by Amazon’s neural network with classic studio creative, and the result was unexpected for many skeptics.

    Generative creative showed better click-through and conversion rates, confirming that mass video generation by neural networks is already ready for real advertising campaigns. This case is an important signal for all those who doubted the capabilities of AI in content marketing.

    Why AI creative didn’t fit the brand before

    Cuisinart’s marketing team had long wanted to use generative AI, but the quality of images did not meet the brand’s strict standards. As Kelsey Smith-Eisen, Director of Amazon Marketing at Conair, explained, even static banners had errors: incorrect shade of green, distorted logos, inaccurate numbers and text on appliances.

    “This even applied to simple banners,” she noted. However, with the rapid improvement in AI video quality, the company decided to test Amazon’s new tool — the “video creative agent.” Cuisinart became a beta tester for this solution, launched in 2024.

    Flexibility vs. planning: the advantage of neural networks

    Traditional marketing requires months of planning: booking studios, preparing locations. But the Amazon team works at a different pace — priorities change quickly, and it’s impossible to predict what will work in a week. Generative AI allows for quickly creating videos for current tasks, which is critical for dynamic platforms.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    A/B test: AI video outperformed traditional

    As part of the beta test, Cuisinart and its agency Global Overview launched two parallel campaigns with equal budgets: one used studio-shot video, the other used an AI-generated video. The AI version was refined with prompts, selecting from several options proposed by the agent. After a month, the results showed a clear advantage for generative creative.

    Nikhil Naniwadekar, lead engineer for generative and agentic AI at Amazon Ads, explained: the agent doesn’t come up with radically new ideas but analyzes the brand’s past successful campaigns. It “relies on signals” and creates variations of what has already worked, but with novelty — this helps combat banner blindness among consumers.

    Speed of progress: from static to nearly finished video in a year

    Smith-Eisen emphasizes: the key is not just the test results, but the pace of technology development. A year ago, generating even a static image was unreliable and not worth the effort. Now AI almost fully creates video, requiring only minimal post-processing.

    “In another year, if progress continues, we’ll be able to use videos immediately after generation, without refinements,” she predicts.

    What’s next: personalization and new formats

    Cuisinart plans to expand AI usage: creating not only product demos but also commercial videos. For example, if purchase data shows a person has moved to a new apartment, compact appliances can be shown; if a user starts cooking, relevant products can be suggested. The brand is also exploring the possibility of dialogues between AI characters, although for now it’s safer to use voiceover.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    Importantly, generated videos only work within Amazon Ads — they can’t be transferred to YouTube or Instagram. But Smith-Eisen believes this isn’t necessary: each platform has its own audience, and differences in style are natural. Amazon Ads, in turn, is developing the tool: in June, a “one-click video generation” feature appeared.

    Frequently Asked Questions

    What is AI content production?

    It’s the creation of advertising materials (videos, images, texts) using neural networks. Instead of studio shoots and a team of designers, AI generates videos based on text descriptions, saving time and budget.

    How much does one AI creative cost?

    The cost depends on the platform and complexity. On average, generating one video can cost from a few dollars to tens, which is significantly cheaper than traditional production, where a minute of video can cost thousands of dollars.

    Can I order AI UGC for a crypto project?

    Yes, many services offer the creation of AI avatars and videos in UGC (user-generated content) style for cryptocurrency projects. This allows for quickly scaling advertising without involving real bloggers.

    AI Video for Advertising: Cuisinart Test Shows Neural Network Effectiveness

    What are Synthesia alternatives?

    Besides Synthesia, there are HeyGen, Colossyan, Elai.io, and others. They allow creating videos with AI avatars and subtitles. Amazon Ads also offers its own tool, but it only works within the platform.

    Conclusion

    The Cuisinart test is another proof that AI video generation for advertising is becoming not just an experiment, but a working tool. Neural networks are already capable of creating videos that are not inferior to traditional ones in effectiveness, and surpass them in speed and scalability.

    If you’re thinking about implementing AI in your marketing, start small: test generating one video and compare the results. Maybe it will change your approach to content. And if you need help implementing AI tools into your advertising strategy — contact us for a consultation.

  • What is AI Content Production

    What is AI Content Production

    Imagine being able to create a hundred variations of an advertising video in a day, not a month. This is exactly what AI content production promises — the production of videos, images, banners, voiceovers, and advertising materials using generative artificial intelligence and human creative oversight.

    A good process is built on three parts: a person sets the idea and boundaries, AI creates variations, a person edits, checks facts, style, rights, brand safety, and compliance with legal requirements before publication.

    AI production does not mean that a brand presses one button and gets a ready-made advertising campaign. It is a production process where artificial intelligence accelerates the creation of variations, while a person is responsible for meaning, quality, brand alignment, legal restrictions, and the final suitability of the material.

    This approach becomes especially important because AI is no longer an experimental toy for individual teams. McKinsey’s State of AI 2025 states that 88% of respondents report regular use of AI in at least one business function, but most companies are still in the stage of experiments or pilots, rather than full-scale deployment. It also notes that successful companies more often have processes for human review of AI results.

    Three Pillars of AI Production

    Good AI production rests on three parts.

    Process Part Who is Responsible What Happens
    Creative Direction Human Formulates the task, audience, style, boundaries, and meaning
    Generation AI Tools Create videos, images, texts, voices, characters, and variations
    Editing and Review Human Selects, edits, checks brand, rights, facts, and AI disclosure

    If you remove the human from the first part, AI creates mediocre, faceless material. If you remove the human from the last part, the risk of errors increases: incorrect facts, strange facial expressions, wrong logo, someone else’s image, unsubstantiated claims, or lack of required disclosure.

    NIST AI 600-1 describes generative AI as a separate risk profile and recommends that organizations manage these risks through processes suited to their goals and priorities. For advertising production, this means: the brand must have rules about who approves materials, what risks are checked, and which materials cannot be released without additional control.

    What can be generated and what remains for humans

    AI handles volume well. Humans handle responsibility.

    Can be created with AI Should remain for humans
    Draft scripts Message strategy
    Images and backgrounds Deciding what is acceptable for the brand
    short videos Final selection and editing
    Characters and talking faces Checking rights to the image
    Voiceover Checking consent for the voice
    banners and overlays Approval of brand identity
    localized versions Checking language and cultural context
    ad copy variations Checking claims and legal wording

    AI should not decide on its own what claims can be made about a product. This is especially important for finance, medicine, education, games, betting, children’s products, and other sensitive categories. In such topics, the final material must undergo not only creative but also legal review.

    What materials does AI production create

    1. Short advertising videos

    These are videos for TikTok, Reels, Shorts, apps, websites, and ad networks. AI can create a scene, character, background, motion, text, voice, and several editing options.

    Illustration 1

    2. AI ads in user-generated format

    These are short videos that look like simple footage from an ordinary person: talking head, everyday shot, conversational tone, product demonstration. In search, this format is often called AI UGC, but in Russian, it is more accurately described as AI ads in user-generated format.

    3. Banners and overlays

    AI helps quickly create banner variations: different headlines, images, backgrounds, color schemes, and calls to action. This is especially useful for placing overlays on short videos, where one banner can be adapted for a large number of clips.

    4. Characters and mascots

    AI can create a recurring hero: a host, assistant, seller, expert, game character, or brand mascot. If the character resembles a real person, separate rights and consent checks are required.

    5. Voiceover

    AI can create voice versions in different languages. This speeds up localization but requires caution: you cannot use a real person’s voice without permission. In the US, for example, the Tennessee ELVIS Act was passed to protect against unauthorized use of voice and likeness, including AI deepfakes and voice cloning.

    AI production does not replace all formats. It occupies a separate working zone.

    Что такое AI-продакшн контента — illustration 2
    Illustration 2
    Approach Best suited for Where it is weaker
    Classical filming Main brand films, real people, expensive visuals Expensive and slow for hundreds of variations
    Creators and bloggers Trust, personal delivery, live audience Difficult to scale quickly
    AI production Many variations, localization, tests, banners, characters Requires disclosure, verification, and trust control

    If you need the main video of the year, classical filming is often better. If you need to quickly produce 50–100 variations, AI production wins in speed. If you need a creator with a live audience, a real integration is stronger. If you need to mass-test messages, AI production offers more flexibility.

    How VibeVO Scales AI Production for Brands

    AI production works especially well when a brand already understands what type of advertising materials it wants to produce. For example: short videos with an AI character, a series with a mascot, banners for short videos, videos in a user-generated format, product videos, localizations, or dozens of variations of a single message.

    At VibeVO, such a request can be scaled immediately to a large volume. The brand brings a brief, branded materials, examples of the desired style, and constraints. After that, the task is broken down into clear assignments, and production is launched in parallel through a network of creators and AI tools. This allows not making one material after another, but covering large volumes at once: dozens, hundreds, or thousands of variations for different markets, formats, and audiences.

    The main advantage for the brand is that it does not need to build its own production department, hire designers, editors, AI specialists, editors, and quality managers for each new stream. If the direction is already clear, VibeVO can quickly deploy production at the required scale and cover the volume needed for the campaign.

    Illustration 3
    Brand task What can be produced
    Has a mascot A series of videos where the character explains the product
    Has a product Dozens of videos and banners for different benefits
    Has an advertising hypothesis Many variations of first frames and messages
    Has several markets Localized versions in different languages
    Has a banner format A large set of banners for short videos
    Has a user-generated style Videos in the format of reviews and explanations

    Disclosure Obligation under the EU AI Act

    Transparency Requirements

    For brands working with the EU, it is important to consider transparency rules in advance. The European Commission states that generative AI providers must ensure AI-generated content is recognizable, and certain types of AI content—such as deepfakes and texts on matters of public interest—must be clearly labeled. The transparency rules of the AI Act come into force in August 2026, and the AI Act itself becomes fully applicable on August 2, 2026, with certain exceptions.

    Practical takeaway: if an advertisement contains a synthetic human, synthetic voice, AI character, or video that could be perceived as real, disclosure and metadata should be planned as early as the briefing stage.

    Brand Quality Check Requirements

    Before publication, each AI-generated material must undergo a review.

    What to Check Question
    Brand Are the logo, colors, tone, and style correct?
    Facts Are there any fabricated product characteristics?
    Claims Is it legally permissible to say what is written?
    People’s Appearance Does the character resemble a real person without permission?
    Voice Does it imitate a real person’s voice?
    Environment Are there any unwanted symbols, products, or faces?
    AI Disclosure Is there a label if required?
    Metadata Are the version, source, and review status preserved?

    AI production should deliver speed, but it should not break quality control. If a brand cannot explain who approved the material, under which brief it was created, and how AI disclosure was verified, the process is not yet ready for scaling.

    FAQ

    Is AI production fully automatic? No. In a mature process, AI helps create variations, but a human sets the idea, manages the direction, checks the brand, claims, legal risks, and final quality. Full automation often results in generic or risky materials.

    Illustration 4

    Is it necessary to disclose that an ad was created with AI? It depends on the market, format, and content. In the EU, the AI Act transparency rules begin to apply in August 2026, including requirements for the recognizability of AI content and labeling of certain types of synthetic content. For the US and other markets, rules must be checked separately by country, state, platform, and material type.

    How does AI production differ from classic production? Classic production is stronger for expensive brand films, real people, and high production value. AI production is stronger where you need to quickly create many variations, localize materials, generate graphics, characters, and ad tests.

    Conclusion

    AI content production is not just a trendy fad, but a practical tool for brands that want to scale advertising production without losing quality. The key to success is a balance between AI speed and human control. If your brand is ready to experiment with video, characters, or localizations, start with a clear brief and legal compliance checks.

    Ready to try AI production for your brand? Contact VibeVO to discuss your first project and learn how we can help you create hundreds of content variations quickly and safely.