Nvidia continues to actively invest in the development of artificial intelligence infrastructure, which directly impacts its revenues. The company recently announced a strategic partnership with Cloverleaf Infrastructure. This deal could change the landscape of the AI infrastructure market and potentially reduce the cost of deploying new capacities.
Nvidia’s Investments: Facts and Figures
Cloverleaf Infrastructure, founded in 2024, specializes in creating foundational infrastructure for data centers. In its founding year, the company attracted $300 million in investments. Its key role is to mediate between utility providers and data centers, ensuring critical power sources and other elements for site development.
How much did Nvidia invest in Cloverleaf?
The terms of the deal have not been disclosed.
According to The Wall Street Journal, Nvidia’s investment in Cloverleaf is likely to be several hundred million dollars.
Reuters reports that the chipmaker now owns a minority stake in Cloverleaf.
“Nvidia is increasingly involved in financing and developing AI data centers, which, in turn, purchase its AI systems,” analysts note.
Nvidia’s Strategy: AI Flywheel and Unit Economics
This deal is part of Nvidia’s broader strategy to reinvest its enormous profits into maintaining the “AI flywheel.” The goal is to ensure continuous demand for its high-performance chips and systems. The company aims not only to sell hardware but also to actively participate in creating conditions for its large-scale use.
Specific examples of investments in AI infrastructure
Earlier this week, Nvidia announced another major investment:
$1.5 billion in SB Energy.
This is a data center project associated with OpenAI, located in Ohio.
Such investments show that Nvidia is not just waiting for the market to develop but is actively shaping it. For arbitrageurs and marketers, this means a potential reduction in CPM costs due to increased availability of computing power and, consequently, more favorable conditions for cheap hypothesis testing on large volumes of data.
Frequently Asked Questions
How profitable will CPM be thanks to these investments?
The direct impact on CPM is still difficult to assess, but increased availability and reduced cost of AI computing infrastructure can make advertising platforms more efficient. This could potentially lower the costs of data processing and content generation, which will ultimately affect the cost per thousand impressions.
Given the active investments of giants like Nvidia in AI infrastructure, the market is becoming more stable and predictable. This is a favorable time to consider investments in AI solutions, as entry barriers and operating costs may decrease.
Conclusion: Cash and Prospects
Nvidia’s investments in Cloverleaf Infrastructure and SB Energy are not just financial operations, but strategic steps to strengthen its dominant position in the AI sector. The company aims to create an ecosystem where its chips will be indispensable. For businesses, this means a potential reduction in AI development and operating costs, opening up new opportunities to optimize unit economics and generate more profit from every dollar invested. We are watching the numbers and preparing for new opportunities that this “AI flywheel” will bring.
In the field of full-cycle short video production and integrated promotion, artificial intelligence (AI) is becoming not just an assistant, but a key element capable of saving time and resources. However, to gain real benefits, it is important to choose the right tools. We will look at 11 proven solutions for creating texts, images, videos, and optimizing workflows, as well as their pricing policies.
AI-powered content creation tools use algorithms to generate text, visual, audio, or video content based on given prompts. This allows teams to create materials faster and in larger volumes. The generative AI market is growing rapidly, with its volume projected to reach $394.66 billion by 2026, and AI-driven content will become one of the defining trends in social media.
While AI primarily generated text in the past, by 2026, most tools have become multimodal and workflow-oriented. They can create drafts, develop designs, edit videos, and integrate into existing systems. These solutions can be divided into five categories:
Text writing and copywriting
Image generation
Video and audio
Presentations and design
Workflow management platforms
Notable examples include ChatGPT, Midjourney, Jasper, Canva, and Hootsuite’s AI tools, which are now part of Perch in Hootsuite Social OS.
Why does business need AI in content production?
AI tools help marketers create, optimize, and scale content with less effort. They are indispensable for brainstorming, drafting, and performing routine tasks. Let’s look at four key benefits that should be integrated into your workflow:
Time savings: from routine to strategy
The most obvious advantage is time savings. 51% of content specialists already use AI to speed up production. AI takes on small, routine tasks, allowing your team to focus on strategic goals. For example:
“I use AI to group tweets from my company’s blog articles,” shares Chelsea Hensley, Social Media Strategist at Visme. “For platforms like X/Twitter or Threads, this is extremely useful for repurposing already written (and approved by our team!) content into short tweets and threads.”
Formatting is another easy win. “I can input my existing content or ideas and ask AI to format it into a bulleted list or even a neat table, which would take hours to do myself,” Hensley says. “Formatting is a great way for an SMM specialist to use AI.”
Idea Generation: Breaking Through Creative Blocks
Even the best brainstormers sometimes hit a wall. AI can kickstart the process to keep your team from slowing down. You still bring the strategy and creativity, but AI provides a starting point by generating prompts, angles, or post ideas that you can refine. Sometimes, the first batch of suggestions is all it takes to spark an idea you wouldn’t have otherwise reached.
Content Scaling: More Reach with Less Effort
AI helps teams produce more content without significantly increasing the workload. Instead of starting from scratch every time, marketers can repurpose existing content into multiple formats. One blog post can quickly become an X thread or a video script for Snapchat.
For large companies, this opens up opportunities to enter new markets. AI tools can translate content in minutes, simplifying the adaptation of campaigns for different languages and regions without a separate production cycle for each. Small teams feel this no less.
When asked how AI helps her do more as a “one-person team,” Hensley replies: “THAT is the right question. Since many social media managers work alone, having AI to help with drafting and repurposing content is crucial… With AI, I can turn tedious, time-consuming tasks into quick solutions.”
Platform Optimization: Improving Visibility
Similar to Google and other search engines, social platforms have their own SEO rules. If you’re just learning to optimize content, AI tools can help. They suggest keywords, hashtags, and caption structures that improve the display of your content in feeds and search results. The result is posts that are easier for the right people to find.
AI Tools for Content Creation: A Detailed Overview
The best AI tools for content creation help social media specialists brainstorm, generate text, develop visuals, and edit videos in minutes. We’ve grouped them by category so you can jump to the one that matches your needs.
AI for Text Writing and Copywriting
These tools handle drafting, editing, repurposing, and maintaining brand tone. They are the foundation of most content creation workflows.
Hootsuite: AI Assistant for Social Media
Features: Hootsuite’s AI capabilities are now integrated into Perch – the content, planning, and publishing app within Hootsuite Social OS. You input a prompt, and it transforms it into social media captions, post ideas, and content variations that can be scheduled without leaving the platform. What sets it apart from regular chatbots is context: the AI is trained on Hootsuite’s social media methodology, combining a powerful language model with content formulas based on over a decade of social marketing experience.
Best for: Teams that need to replace an SMM team or outsource social media content, and connect AI content creation with planning, publishing, analytics, and approvals in a single window.
Limitations: Designed specifically for social content, so it’s not suitable for creating long blog articles or technical documentation.
Pricing: Standard – $99/user/month, Advanced – $249/user/month. Enterprise – custom pricing. A free trial is available.
ChatGPT: A Versatile Assistant
Features: Can create human-style content, including social media posts, blog articles, plans, and scripts. The latest models also generate images and support custom GPTs, allowing teams to create versions tailored to their brand’s context.
Best for: General drafting, brainstorming, and research support.
Limitations: Full drafts from scratch often sound generic, and factual or historical data always require verification against primary sources.
Pricing: There is a free tier. Plus – $20/month, Business – $20/user/month (when paid annually).
Claude: For Working with Large Documents
Features: Helps generate ideas and create content using conversational prompts. It operates on a Constitutional AI system, designed to provide safer and more reliable responses.
Best for: Working with long documents, synthesizing research, and technical content.
Limitations: Not designed for end-to-end content production, and summaries still need human review before publication.
Pricing: There is a free tier. Pro – $20/month, Team – $25/user/month (when paid annually).
Jasper: for a consistent brand tone
Features: Specializes in content for articles, social media, scripts, and more. Expanded to image generation. Stands out for its focus on tone: the platform can generate or rewrite content that matches your brand’s voice.
Best for: Marketing teams that need a consistent brand tone across a high volume of content.
Limitations: Important or foundational content is best entrusted to humans. For commercial materials, landing pages, or large campaigns, AI drafts are just a starting point.
Pricing: Creator from $39/month (with annual billing). Pro and Business tiers available, free trial offered.
Copy.ai: for sales and marketing
Features: Helps marketing and sales teams create content and move faster through the go-to-market workflow. Allows for account research, outreach message generation, and sales data analysis.
Best for: Teams linking content production to sales workflows.
Limitations: Focused on sales and GTM processes, not social media content, making it less suitable as a primary social media tool.
Pricing: Chat from $29/month ($24/month with annual billing). Growth, Expansion, Scale, and Enterprise tiers available.
AI for image generation
These tools work with visuals, from stylized concept art to ready-made templates.
Midjourney: for stylized visuals
Features: An AI-powered image generation application known for its unique visual style. Started as a Discord bot, now also works as a web application.
Best for: Stylized, artistically rendered visuals for social media and campaign concepts.
Limitations: Subscription only pays off with a constant demand for AI graphics, and photorealistic results still require significant prompt engineering.
Pricing: Paid subscription only (Basic, Standard, Pro, and Mega). Prices are not published on the main page, check the pricing page. No free plan.
Canva: for quick branded designs
Features: Graphic design platform with templates and AI tools. Convenient for creating social media content, as all materials are automatically formatted for the required platform and integrated with Hootsuite. AI features are under “Magic Design.”
Best for: Quick, branded visuals created by non-designers.
Limitations: Does not replace creating brand identity from scratch, which still requires the work of professional designers.
Pricing: A free plan is available. Canva Pro is a paid tier, above that are Teams and Enterprise. Prices depend on region and billing cycle.
AI for video and audio
Video remains the most resource-intensive format on social media. These two tools significantly reduce production time.
Descript: for editing long videos
Features: An AI-powered audio and video editing tool. The most useful feature is transcript-based editing. You edit the transcript, removing filler words, shortening sections, or cutting entire clips, and the video updates accordingly.
Best for: Turning long podcasts or video recordings into social media-ready clips.
Limitations: Edits existing footage. You still need to record something to start.
Pricing: A free plan is available. Hobbyist from $24/month ($16/month with annual billing). Above that are Creator and Business.
InVideo: for creating short videos from text
Features: An AI-powered tool for creating short videos from text prompts. Useful for small teams without the time or resources for full video production.
Best for: Quickly creating video content without filming or editing.
Limitations: Not suitable for long or very detailed informational videos, and generated videos usually require manual adjustments to match brand tone and messages.
Pricing: A free plan with watermarks is available. Paid plans exist (check with the provider for current rates and plan names).
AI for presentations and design
Compiling reports and presentations takes up a significant part of a marketer’s week. Beautiful.ai helps create polished slides quickly.
Beautiful.ai: for creating presentations
Features: An AI-powered presentation tool that helps create polished slides quickly. This covers a significant portion of a social media specialist’s tasks: compiling reports for stakeholders, presenting campaign ideas, or creating slides for an online strategy.
Best for: Marketing slideshows, social media reports, and quick presentations.
Limitations: Less suitable for in-depth, research-heavy presentations requiring custom layouts.
Pricing: Pro, Team, and Enterprise tiers are available, with a free trial.
Free AI tools for content from Hootsuite
Not every task justifies a subscription. Hootsuite offers free AI content creation tools that you can use right now, without signing up. Here are three of them worth bookmarking.
Caption Generator: Not as advanced as the tools in Perch, but unlike a general chatbot, it’s built specifically for social media. It creates captions tailored to your chosen platform and supports five languages.
Hashtag Generator: Like the caption generator, it tailors its suggestions to your chosen platform (Instagram, Facebook, TikTok, LinkedIn, Pinterest, and X).
YouTube Video Description Generator: Writes a fully optimized description, helping you reach your target audience with the right keywords and drive traffic through calls to action.
Hootsuite also offers a range of other free generators, each with its own free plan and no sign-up required: Instagram Post Idea Generator, TikTok Post Idea Generator, Facebook Post Idea Generator, LinkedIn Post Idea Generator.
Limitations of AI in Content Creation: What You Need to Know
The main limitation of AI in content creation is that these tools work with existing information. This means they cannot reliably produce up-to-date research, original ideas, or genuine creative judgment. Knowing the boundaries of AI makes it useful, not risky. Here are five limitations to consider:
Lack of up-to-date research: AI cannot always provide the latest data.
Lack of expert opinions: AI is not an expert and cannot offer personal insights.
Limited understanding of current trends: AI may lag behind the freshest trends and demographics.
Lack of fresh case studies: AI is not always capable of providing current industry examples.
Lack of creative judgment: AI cannot offer genuine creative judgment.
In an era of mass video posting and automated content distribution, many companies rely on AI generation for scaling. However, behind the scenes of this industry lie risks that can nullify all efforts. While services for automatic short video publishing promise seamless integration and time savings, major AI developers are buying tons of old printed books. Why? Because books printed before the era of “junk” content possess a quality that cannot be imitated.
Why Are AI Giants Buying Old Books?
Data Quality: Books published before 2022 contain unspoiled data, free from AI-generated “noise.”
Avoiding “Junk”: Companies creating AI pay real money to avoid using their own “junk” content for training.
Irreproducibility: Unlike AI responses, which can change with repeated queries, the quality of old books is stable.
“The best data for training AI is on the shelf,” says ISBNdb, a broker supplying books to AI labs.
Watermarking AI Content: Invisible Control
The industry is on the verge of a new era of control over AI content. On May 19 (at I/O 2026), Google announced that its invisible watermarking system SynthID has already marked over 100 billion AI images and videos, as well as about 60,000 years of audio. Verification of these marks is already being implemented in Google Search and Chrome.
Anthropic: Starting August 2, 2026, Claude models will embed watermarks in generated text at the model level worldwide.
This means that any automatic short video publishing or text will carry an invisible trace of its origin. Even if you use a single dashboard for TikTok, YouTube, Instagram for scheduling auto-posting, your content may be marked.
Limitations of Watermarks and Circumvention Methods
Despite their apparent universality, watermarking systems have their limitations:
Rewriting and Translation: Deep rewriting or translation of text significantly reduces the accuracy of watermark detection.
Short texts: Short factual conclusions also pose detection difficulties.
Demo versions: Publicly available versions of detectors are often demos and do not reflect the real capabilities of systems used in production.
Tools for removing watermarks have already appeared, for example, on GitHub, which use text rewriting through another model. However, this does not guarantee complete removal of the mark, and posting to 10 accounts with such content still carries risks.
Why is AI content “junk”?
AI content, created in large volumes, often does not fall into the main body of training data used to create the parametric memory of models. This means that it does not form long-term value and does not contribute to brand recognition.
A geoSurge study showed that models are more likely to look for what they already know. Brands in the top 10 of the model’s memory were mentioned in search queries 3.2 times more often (55.7% vs. 17.4%). This suggests that even publishing on 5 platforms will not help if the content does not get into the AI’s “memory.”
Google Research confirms: frontal models encode 95-98% of facts, but cannot recall a quarter or a third of them directly. This means that even if your AI content is encoded, it may not be accessible without special prompts.
Conclusion: Bet on quality, not quantity
Betting on mass video posting generated by AI is a risk that can lead to a loss of content value. Companies producing AI are actively fighting “junk” content by buying quality data and implementing detection systems.
If you use a mass posting service, remember: real value is not in volume, but in quality and originality. A long-term strategy should be aimed at creating content that will form stable parametric memory in AI models, rather than trying to deceive detection systems. The cost of 500 publications may be zero if your content is labeled as “junk.”
What is SynthID and how does it affect mass video posting?
SynthID is an invisible watermarking system from Google that tags AI-generated images, videos, and audio. It affects mass video posting as it allows for the identification of AI-created content, which can impact its ranking and distribution.
Can watermarks be removed from AI-generated text?
There are methods for removing watermarks, such as deep rewriting of text or translating it through another model. However, the effectiveness of these methods is not guaranteed, and AI development companies are constantly improving their detection systems.
Why are AI companies buying old printed books?
AI companies are buying old printed books to train their models because these books contain high-quality, unspoiled data created before the advent of mass AI-generated content. This helps improve the quality and reliability of AI systems.
How to choose a mass posting service considering the risks of AI content?
When choosing a mass posting service, prioritize those that focus on content quality, not just volume. Look for solutions that help create unique, valuable content capable of forming lasting memory in AI models, rather than just generating “junk.”
The largest crypto exchange Binance is launching the Agent OS platform, allowing AI agents to analyze markets and execute trades on behalf of users. This marks a new phase in the integration of autonomous AI into real money management. However, the primary responsibility for controlling these “digital hackers” falls on the users themselves. How can undesirable actions be avoided and assets protected?
Agent OS: Infrastructure for Smart Bots
The Agent OS platform is a kind of “matrix” for developers, enabling them to connect AI applications to Binance’s financial infrastructure. It combines existing tools such as Binance API, Agentic Hub for wallets, Binance x402 transaction verification system, API for payments, and Binance Skill Hub.
Integration with OpenAI (ChatGPT, Codex), Anthropic (Claude Code), and Cursor.
Agents can access market data, account information, and execute trades.
Control and Security: An AI “Sandbox”
As the AI race shifts from simple chatbots to agents capable of making decisions, Binance is shifting much of the responsibility for their control to users. They are the ones who determine what agents have access to and what limits are set.
“Instead of complete freedom, we give users the ability to granularly control agent actions,” said Jeff Li, Binance VP of Product. “We implement account-level controls to protect user funds.”
Sub-accounts: The Main Shield Against Unauthorized Actions
Users can assign special sub-accounts to agents.
These sub-accounts are configured for specific activities (e.g., spot or futures trading).
Withdrawals from sub-accounts are blocked by default, creating a kind of “sandbox” for AI.
Autonomy or Approval: User Choice
Users can choose whether the AI agent requires approval for each trade or can act autonomously within the given permissions. Binance does not set separate limits on the trading volume or potential losses of the AI agent; in fact, the amount transferred to the sub-account becomes the limit.
Transparency of AI Actions: What Does Binance See?
When asked whether Binance can see the agent’s decision-making logic, Li replied that the reasoning occurs outside their systems — on the user’s computer or in the chosen AI application. This means that Binance can monitor trading activity but has limited insight into whether a decision was caused by erroneous information or manipulation.
In the event of a prompt-injection attack or agent compromise, Li again pointed to the sub-account as the primary line of defense.
Expanding Functionality: From Trading to DeFi
While trading is one of the primary applications, Agent OS has much broader potential:
Market monitoring and research.
Risk analysis and signal response.
Autonomous order placement and execution of arbitrage strategies.
Connecting to payments and on-chain activity through integration with Binance x402.
Interacting with tokens and decentralized finance (DeFi) protocols via Agentic Wallet.
Limits for Agentic Wallet
Unlike exchange trading, where limits are determined by the sub-account, transactions via Agentic Wallet have established Binance daily limits:
Regular swaps: up to $50,000 per day.
DeFi transactions: by default up to $100,000 per day.
x402 payments: up to $20 per day.
Competition in the AI Agent Market
Binance is not the only exchange opening its infrastructure to AI agents. Competitors are also moving in this direction:
Kraken: In March, launched a command-line tool with a built-in MCP server for spot and futures trading.
Coinbase: In June, introduced Coinbase for Agents for trading, payments, and other financial operations.
OKX: Earlier this year, introduced a suite of MCP tools for agent trading.
Jeff Li emphasized that Agent OS is Binance’s “first step” towards providing developers with a platform to build AI applications capable of operating in both crypto and traditional markets. This opens new horizons for content repurposing and creating unique trading strategies, allowing old approaches to be “repackaged” into new, more efficient algorithms.
Frequently Asked Questions
What is an AI agent?
An AI agent is an artificial intelligence-based program capable of analyzing data, making decisions, and performing actions on behalf of the user, such as executing trading operations on an exchange.
How does Binance protect user funds when using an AI agent?
Binance uses a system of sub-accounts that the user can allocate to the AI agent. Withdrawals from these sub-accounts are blocked by default, creating a “sandbox” and limiting potential damage.
Can an AI agent make trades without my approval?
Yes, the user can configure the AI agent to act autonomously within defined permissions and limits. However, it is also possible to set up a requirement for approval for each trade.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a protocol that allows AI models to access the context and data necessary to make informed decisions, which is critical for the operation of AI agents in financial markets.
What are the risks associated with using AI agents for trading?
Key risks include the possibility of prompt-injection attacks, errors in AI algorithms, and incorrect user settings. It is important to carefully control the access and limits provided to the agent.
Conclusion
The launch of Agent OS by Binance opens a new era in automated trading, where AI agents become a powerful tool for traders. However, as with any high-tech system, success and security depend on proper setup and control by the user. By using sub-accounts and carefully considering permissions, you can effectively scale the content of your trading strategy and generate options for A/B tests, minimizing risks. Explore the capabilities of Agent OS and start building your “matrix” for crypto trading today.
Tired of routine stream and podcast cutting? In 2026, Instagram offers new tools to increase reach and engagement without creating tons of new content. From smart TV apps to AI effects and clever audio tricks – learn how to quickly scale your presencewithout sacrificing quality.
In a world where user attention is the most valuable resource, Instagram continues to evolve, offering content creators new ways to stand out. 2026 will bring a series of innovations that will allow you not only to expand your audience but also to deepen engagement with it, using existing material. Get ready to learn how to turn your streams and podcasts into a powerful tool for growth, without drowning in endless production of new content.
Instagram TV App: A New Conveyor for Your Highlights
Instagram TV expands its presence, appearing on Samsung TVs, complementing Amazon Fire TV and Google TV. This means the app is available on most smart TVs. Setup is simple: download, scan the QR code, and your account syncs with the big screen in seconds.
How it Works and What it Means for Stream Cutting?
Personalized categories: The viewing experience is organized around interests, like on Netflix. Instagram expert Elizabeth Marberry noted a “For You” section, followed by categories based on her activity, such as “inclusive fitness,” rather than just “fitness.”
Granular categorization: The platform categorizes content very precisely based on consumption patterns. This means that your stream cuts will reach the most targeted audience.
Expert tip: Don’t try to fit into a category. It’s important to clearly define what you want to be known for. If all content consistently reinforces one theme, the algorithm will handle the categorization itself.
Stories on TV: Instagram Stories can also be watched on TV. Elizabeth Marberry describes this experience as surprisingly engaging, even for those accustomed to watching stories on their phone.
“Wide viewing on a widescreen”: The platform offers an option that displays viral horizontal videos in full-screen TV format.
Lessons from YouTube: YouTube has already paved the way for short, creator-driven videos on TV screens. Instagram is following this strategy.
“Marketers should view Instagram on TV as a viewing opportunity, not a reason for a radical overhaul. There’s no need to rebuild your content strategy. The fundamentals remain the same: a strong message, a clear customer journey, and content that grabs attention in the first few seconds. These elements work on any screen. New features won’t fix weak marketing,” advises Elizabeth Marberry.
Experiments with Horizontal Content and Reels
Who this is relevant for: Brands already producing horizontal or widescreen content (e.g., professional videographers) can experiment with uploading it to Instagram.
Trial Reels: Allow testing content with non-subscribers before full publication, minimizing risks.
Mobile features: On mobile devices, horizontal video in the standard Reels feed appears with black bars. Elizabeth recommends filling this space with text at the top and engaging questions at the bottom so that the content occupies the entire vertical frame.
Pro Tip: Reels are limited to 20 minutes for appearing in the feed. Regular posts can be up to 60 minutes. To ensure your stream highlights get maximum distribution through Reels, keep videos under 20 minutes. Instagram will warn you if the video length limits its reach.
AI Effects for Stories: How to Stand Out in the Stream
Instagram has introduced over 30 new AI effects for stories. These effects can transform photos by interpreting scene elements such as lighting, composition, and objects. Users can also create their own AI effects by entering prompts. Access them via the three-star icon on the story creation screen.
Strategy for Using AI Effects for Your Highlights
Attention-grabbing: Elizabeth sees these effects as useful “pattern interruptors,” rather than an everyday strategy. For example, during a product launch, an AI-transformed image can stand out in the stories feed.
Caution with authenticity: Stories have always been the most “raw” and authentic surface on Instagram. Adding AI effects risks undermining trust. Elizabeth agrees: stories work best for brands that show themselves unvarnished, share real moments, and communicate directly with their audience.
Frequency and Quality of Stories for Maximum Impact
Elizabeth recommends publishing five to six “raw,” spontaneous stories instead of two to three highly polished ones. Reducing friction in content creation leads to greater consistency, and consistency deepens trust. A highlight reel that looks natural will be more effective than an overly “packaged” product.
Pro Tip: The more engagement a story receives, the higher it ranks in your followers’ story feed. Conversational stories typically generate more replies and reactions, which directly impacts story visibility.
Swapping Audio and Music for Carousels: How to Get More Reach
Instagram now allows you to change audio in already published posts and carousels, while preserving all existing interactions such as likes, comments, and shares. No more deleting and re-uploading content.
Benefits of Audio Swapping for Your Edits
Solving licensing issues: If a licensed song is removed, you can simply replace it without losing accumulated engagement.
Testing: Publish a carousel with one audio, wait a few days, then replace it with another if engagement is insufficient. Audio sets the mood and tone of the content.
Important: Do not micromanage content performance on a 24-hour cycle. Some content gains momentum over several days or even weeks.
Music in Carousels = Reels Reach
Instagram announced that when music is added to a carousel, it now appears in the Reels tab. This is a significant change for Instagram reach. Carousels have traditionally been strong for retaining existing followers but limited in reaching new audiences. The Reels feed remains the primary surface for growth in visibility and discovery on Instagram.
Maximum reach: By adding music, a carousel can appear in both the standard feed and the Reels feed, expanding its potential reach.
Subtitles are critical: Elizabeth emphasizes the importance of subtitles for any content with speech. A significant portion of Instagram users view content without sound.
Pro Tip: To unlock Instagram’s full music library, change your account category to “digital creator” or “entrepreneur.” This can be done in “Edit Profile” > “Category.”
Carousels with Multiple Captions: A New Level of Storytelling
Instagram recently introduced carousels with multiple captions, allowing you to add a separate caption to each slide, rather than using one general caption for the entire post.
How to Use This for Your Edits and Highlights
Photo dumps and behind-the-scenes moments: Ideal for “photo dump” formats or behind-the-scenes reviews. For example, a conference speaker can accompany each photo with a short story.
Deeper Storytelling: This feature opens up opportunities for deeper storytelling. Carousels already limit the amount of text on each slide; adding captions to each slide provides an additional layer of context, narrative, and calls to action.
Important: Just because Instagram provides another field to fill doesn’t mean every post needs it. Multi-caption carousels require “hooks” for each slide caption, increasing production effort. Evaluate whether the extra work serves a strategic purpose.
Caption Tip: The first line of a caption determines whether someone will read further. The most engaged users will read the full caption, so a strong call to action at the end is worth including. Even a simple engagement question like “Have you encountered this?” can generate significant comment activity.
Frequently Asked Questions
How Long Does It Take to Cut a Stream?
The time it takes to cut a stream depends on its length and the desired number of highlights. On average, cutting a 2-hour stream to create 5-10 clips can take from 30 minutes to 2 hours, if efficient tools are used and key moments are identified beforehand. For mass cutting of 100+ clips from long streams, automated services or a team will be required.
What Moments Are Usually Cut from Streams?
The most vivid and emotional moments are usually cut from streams: funny or awkward situations, key gaming events (killstreaks, victories), important announcements, answers to viewer questions, moments of maximum engagement, and unexpected twists. Educational highlights or fragments with expert opinions are also popular.
Are Subtitles Needed for Cuts?
Yes, subtitles for cuts are critically important. Many users view content without sound (on public transport, at work). Subtitles significantly increase the accessibility and understanding of your content, which directly affects engagement and reach. Instagram also values content with subtitles.
How Much Does It Cost to Order 20 Clips from a Stream?
The price for cutting 20 clips from a stream can vary greatly. It depends on the duration of the source material, the complexity of the editing, the need to add graphics, subtitles, and the urgency of the work. On average, the services of a person who cuts streams can cost from 500 to 5000 rubles per hour of source material or a fixed rate for a set of clips (for example, from 3000 to 15000 rubles for 20 high-quality clips).
Conclusion: Your Content Conveyor of the Future
Instagram is actively developing tools to expand reach, and 2026 brings many opportunities. From cutting streams without loss of quality to using AI effects and audio tricks, each tool is designed to help you package your raw material into attractive highlights. Don’t forget the importance of subtitles and experiment with formats. Use these updates to monetize your stream through cuts and attract a new audience. Start applying these strategies today so that your content doesn’t just exist, but truly works for you!
Forget about bloggers and multi-million dollar budgets! A new platform, Divine, already dubbed the successor to Vine, is on the horizon, and it could revolutionize the market for banner advertising in short videos. Launched with the support of Jack Dorsey, this social network not only brings back the six-second video format but also offers a unique approach to monetization, where CPM cheaper than 50 rubles could become a reality, and mass reach for pennies—the new norm. Let’s figure out how it works.
Almost ten years after Vine’s closure, its ideological successor, Divine, has emerged. This platform is supported by Jack Dorsey himself, and its team consists of Twitter veterans. The main feature is a strict rejection of AI in recommendation algorithms and a focus on human creativity.
Co-founder and CEO Evan Henshaw-Plath, known as Rabble, states: “We removed the pressure of having to create content that would be picked up by an advertising algorithm, and we found that people actually want to create.”
Key features of Divine:
Decentralized protocol: Like many of Dorsey’s recent projects, Divine is built on an open protocol, giving users greater control over their content.
Vine archive: Thanks to its close ties with Vine’s founding company, Divine can serve as an archive for the iconic app.
Community focus: During closed testing, the platform emphasized creative initiatives, such as the “Midnight Insomniacs Club.”
Taco Bell: The First Major Partner and a New Monetization Model
The main question that always hung over Vine: how to monetize six-second videos? Divine seems to have found the answer in innovative brand integration without filming. The first official partner of the platform is the fast-food chain Taco Bell, which is launching its “Decades” menu with dishes from 2016.
“Divine will not only solve Vine’s monetization problems but will also strive for innovation in collaboration between brands and creators,” states the press release.
How does this work for brands?
Instead of intrusive advertising, Divine offers brands to “creatively contribute to communities.” The Taco Bell campaign is a prime example: by using the code TACO-BELL, users get early access to the platform before its official launch on August 20. This is not just advertising; it’s a native banner in Shorts that becomes part of the user experience.
Benefits for Brands:
Low CPM: This model allows for reach without creating a video, which significantly reduces the cost per contact.
Alternative to Influencers:Don’t pay an influencer for expensive integration. Here, brands interact directly with the community.
Transparent Statistics: Open protocols can provide more transparent statistics on banner interactions.
Banner Advertising in Short Videos: Prospects for Arbitrageurs
For digital arbitrageurs and marketers, Divine opens up new horizons. Imagine: auto-placement on hundreds of videos with the possibility of getting a CPM cheaper than 50 rubles. This is real math, where pennies for a million impressions are no longer a fantasy.
This platform is ideal for:
Promoting mobile applications: Short, catchy videos and non-skippable banners.
Advertising crypto projects: A decentralized audience open to new technologies.
Infobusiness: Fast and wide reach of the target audience.
Testing hypotheses for 1000 rubles becomes not just possible, but mandatory. Instead of creating expensive videos, you can focus on creative banners that organically fit into Divine’s nostalgic atmosphere.
Frequently Asked Questions
What is Divine and how does it differ from Vine?
Divine is a new platform for sharing short videos (up to 6 seconds), which is called the ideological successor to Vine. Key differences: Jack Dorsey’s support, strict rejection of AI in recommendations, a decentralized protocol, and a new monetization model through native brand integrations, rather than traditional advertising.
How can brands advertise on Divine?
Instead of traditional banner or video advertising, Divine offers brands to “creatively contribute to communities.” The Taco Bell example shows that this can be providing exclusive access to the platform or content in exchange for brand interaction, which is essentially a native banner in Shorts.
Will CPM on Divine really be cheaper than 50 rubles?
Potentially, yes. By abandoning expensive influencer integrations and focusing on mass, organic reach through creative banners, the cost per contact can be significantly lower than on other platforms. This allows for cheap reach and mass reach for pennies.
Will Divine avoid Vine’s monetization fate?
Divine’s founders claim that their monetization model, based on deep brand integration into the community and value provision, will help avoid the problems Vine faced. A focus on programmatic video banners and non-skippable formats could be the key to success.
Conclusion
Divine is not just another attempt to revive Vine. It’s a new approach to banner advertising in video that could revolutionize the market. With an emphasis on human creativity, decentralization, and innovative brand integrations, the platform offers unique opportunities for those looking for the lowest CPM in shorts and striving for transparent statistics.
It’s time to order banner advertising and become part of this movement before pennies per million impressions become an unaffordable luxury. Stay tuned for updates and get ready to test new hypotheses – this could be your chance for “white schemes” in the world of short videos.
The company ByteDance, which owns TikTok, has signed a memorandum of understanding with the Motion Picture Association (MPA). This agreement aims to protect the intellectual property of Hollywood stars and franchises from deepfakes that are massively appearing on the platform. In an era of rapid development of generative AI, the issue of copyright protection is becoming critically important for the entire entertainment industry.
What happened?
In February, the MPA, representing the largest Hollywood studios, sent TikTok a letter demanding that it stop using intellectual property to train AI models. The trigger was viral videos where deepfakes of Tom Cruise and Brad Pitt fought each other.
Now ByteDance has committed to implementing “robust protective mechanisms” to comply with copyright laws. This is an important step that demonstrates the platform’s readiness for dialogue with rights holders.
Details of the agreement
The memorandum is based on updates to the generative models Seedream 5.0 Pro and Seedance 2.5. ByteDance will collaborate with the MPA when integrating these models into TikTok, CapCut, and the joint venture TikTok USDS.
MPA CEO Charles Rivkin emphasized: “The agreement confirms that copyright is the cornerstone of the film industry and strengthens our commitment to protecting creative content.”
Despite the pressure, TikTok will continue to invest in generative AI. Seedance is already used for brands and even for film festivals. The agreement with the MPA only ensures that crossovers with popular characters will be created legally.
Recently, TikTok also struck a major deal with Disney, opening new opportunities for content integration. This confirms the platform’s strategic direction toward developing creative tools.
Frequently asked questions
Why did the MPA send a letter to TikTok?
Due to the widespread distribution of deepfakes featuring Hollywood actors and characters created using ByteDance’s AI models.
Which AI models are affected?
Seedance and Seedream are generative models by ByteDance used to create videos and images.
Will AI content disappear from TikTok?
No, TikTok will continue to develop generative AI for brands and creative projects, but with respect for copyright.
What does this mean for users?
Users will see fewer deepfakes with famous characters, but will get more legal AI content from brands and studios.
Stay tuned for updates to learn how TikTok’s AI policy will change. Subscribe to our news to not miss important events!
In August, SEO specialist Anastasia Kuru noticed queries in the Search Console report that didn’t look like search queries: “Yes,” “Yes, continue,” “Yes, price.” John Mueller confirmed that Search Console includes data from AI Overviews and AI Mode in the overall report, and subsequent questions within AI Mode are recorded as new queries. This opens up the opportunity to analyze fragments of AI dialogues that appear in your statistics.
In this article, we’ll break down how to recognize such fragments in Search Console data, how they differ from regular queries, and how to use this information for optimizing content for AI search.
Seven types of AI fragments in Search Console data
I analyzed 16 months of data from my site and identified seven categories of such queries. Each has its own origin and characteristics.
Short answers
These are single words or phrases like “yes,” “of course,” “show me.” They occur when a user responds to AI during a dialogue, and the response is treated as a search query. Positions in such cases are taken from the answer block, not from the search results.
Comparisons in dialogue
Phrases like “what about Resend?” or “what if we try Gemini?” — the user asks AI to compare an alternative with the already received answer. This signals a specific interest in your content.
Questions addressed to a conversational partner
The grammar of such queries implies the presence of a listener: “Can Meta Ray-Bans be hacked?”, “How do I sell this?”. They differ from regular search phrases.
Synthetic prompts from SEO tools
Regular queries, for example, “evaluate [company] by [criterion]” or “. my location is usa.” They repeat daily for months, indicating automation.
Full instructions for agents
Machines sometimes log entire prompts, for example, “find on the web… return 3 most relevant results… don’t invent URLs.” Such strings end up in the report as queries.
Errors and table headers
People and pipelines search as-is. In my data, there was an entire row from a ranking tracker CSV file that received 146 impressions.
Long queries without markers
Phrases of 10+ words without obvious signs of dialogue. The classifier sends them for manual review, as they could be either AI fragments or regular long-tail queries.
How to distinguish AI fragments from regular queries
The key difference is the addressee. A regular long query is addressed to no one, while a conversational one is directed at a conversational partner. Four signals reveal the conversational nature:
presence of an address;
interrogative construction;
incomplete sentences;
conversational particles.
Length itself is a weak signal, so queries of 10+ words with interrogative intonation are classified as conversational, while those without markers are sent to quarantine.
Practical conclusions from the analysis
On my site, AI fragments began appearing in March 2026, steadily 20–30 impressions per month. For example, the query “yes” gave 110 impressions and 6 clicks at an average position of 4.5 — this is impossible in regular search results, but typical for an AI answer block.
Comparative queries perfectly correlate with my articles: “what about Claude?” led to the WebMCP guide, “what about Xcode?” — to the post about Xcode. This shows that users actively compare alternatives, and your content can be mentioned in AI answers.
Frequently asked questions
Can AI Overviews be separated from AI Mode in the data?
No, Google combines them in the report as web search. The fragment indicates the fact of a dialogue, but not the specific type of surface.
Why does Google hide queries and clicks in the Generative AI report?
The report shows impressions, pages, countries, devices, and dates, but not queries and clicks. The API does not support this data, and the BigQuery export does not contain an AI column. The only way to get data is the export button in the interface.
How to set up a classifier for your site?
The classifier genai_conversation_queries is available in the free Search Console MCP v2.4.0. Install MCP with one command, select your project, and run the analysis. For large sites, use the BigQuery version v4.1.0.
Conclusion
Analyzing AI fragments in Search Console provides unique insights into how users interact with AI and find your content. Use the classifier to uncover hidden opportunities and optimize content for AI dialogues.
Start with the free tool and get data that most SEO specialists miss.
Do you dream of your content flooding TikTok, YouTube, and Instagram while you go about your business? Mass video posting is the automatic publication of short videos across multiple accounts simultaneously. Mass-posting services allow you to upload content to all key platforms through a single panel. This saves time and ensures scheduled reach without manual effort.
How mass video posting works
A mass-posting service connects to social media APIs and lets you schedule publications. You upload a video once, set a schedule for each platform, and the system automatically publishes the content. This seamlessly integrates with your content marketing strategy.
Publication on 5 or more platforms: TikTok, YouTube, Instagram, VK, Telegram.
Scheduled auto-posting: set the time, and the system publishes videos even at night.
Mass upload with proxies and anti-detect for safe management of 10+ accounts.
Unified panel for monitoring all platforms.
How to choose a mass-posting service
When choosing, pay attention to the package cost, the number of supported accounts, and API availability. For example, a monthly package may include 500 publications, which suits active bloggers. Also important is support for proxies and anti-detect browsers to avoid blocks.
Selection criteria
Number of platforms and accounts.
Schedule flexibility.
Package cost.
API availability for integration.
User reviews.
Frequently asked questions
How to publish 100 videos a day?
Use a mass-posting service with a queue feature. Upload all videos, set intervals, and the system will distribute publications automatically.
Is it safe to use proxies and anti-detect?
Yes, it reduces the risk of blocks when managing multiple accounts. Services with support for proxies and anti-detect ensure IP rotation and simulate real user behavior.
How much does a monthly mass-posting package cost?
Prices range from 1,500 to 10,000 rubles depending on the number of publications and functionality. For example, a package for 500 publications costs about 3,000 rubles.
Conclusion
Mass video posting saves time and increases reach. Choose a service with a suitable package, set a schedule, and forget about manual uploads. While you sleep, videos are already being published on all platforms. Start with a trial period to evaluate convenience, and scale your promotion strategy today.
VibeCraft from Yandex: Test, 52 Minutes of Generation, and the Model Mystery
I tested the new vibe-coding service VibeCraft from Yandex Cloud. The task was a car service website with online booking. The result: a working project, but generation took 52 minutes, and when asked about the model, the AI agent admitted it was Claude. I’m digging into what this means.
VibeCraft is a fresh solution in the niche of Russian AI and automated development. The service is positioned as a tool for creating web applications from text descriptions. My test showed: there’s potential, but there are serious questions about speed and transparency.
How the VibeCraft Test Went
Right after launch, the agent asked a clarifying question about online booking, even though it was clearly specified in the brief. This was a bit confusing, but I started generation and waited. After 10 minutes of waiting, the icon was still spinning, so I switched to other tasks.
When I returned an hour later, the task was complete. It turned out VibeCraft took 52 minutes to create the site. For comparison, on my platform VibePilot, a similar project is assembled in 13–15 minutes.
Result and First Impressions
The generated site looked decent: standard Tailwind colors, all functions worked. It consumed 530 neurocredits. The language proportions from the repository card (TSX 53.86%, TypeScript 37.40%) confirm this is a real Next.js project, not a block builder.
The downside is the lack of images: not a single picture, not even SVG. Although I didn’t explicitly ask for them, for a car service site this is clearly a shortcoming.
Unanswered Question: What Model Does VibeCraft Run On?
I asked a direct question: “What LLM model are you running on?” First in Code Assistant, then in the vibe-app environment. Both times the model answered that it was Claude from Anthropic. This is strange, since Yandex actively promotes its own LLMs.
I checked whether DeepSeek or Qwen were fine-tuned on Claude, but no model in Yandex AI Studio admitted to being Claude. Even Alisa AI LLM answered evasively: it didn’t call itself Alisa, but it didn’t deny a connection to Yandex GPT either.
Attempt to Find Traces of Claude in the Code
I looked into VibeCraft’s main environment. The first page (vibe-app) looks beginner-friendly, but the main environment requires knowledge of git, SSH keys, and DevOps skills. The left panel resembles a pilot’s cockpit—only a developer will figure it out.
In the code, I found: the open agent framework OpenCode under MIT, the AGENTS.md convention, skills in SKILL.md format, a database via Yandex Cloud Document API. AGENTS.md is well-structured: request classification, command table, repository map, and a section on pitfalls. The shadcn skill has a folder with evals—meaning they take agent quality seriously.
Survey of Models in Yandex AI Studio
I decided to check whether any open-weight models consider themselves Claude. I asked DeepSeek 4 Flash, GPT OSS 120b, Qwen3 235B A22B Instruct 2507 FP8—none admitted it. This deepened the mystery.
Interestingly, Alisa AI LLM itself answered evasively: it didn’t acknowledge being Alisa, but it didn’t deny a connection to Yandex GPT either. Strange behavior for a sovereign LLM.
Conclusions and Economics
VibeCraft is a step in the right direction for Russian AI. But there’s room for optimization: agent loops and model selection. 52 minutes for a site is long, and the use of Claude raises questions about import substitution.
Nevertheless, I’m glad Yandex is developing vibe-coding. It gives developers the opportunity to build products on Russian infrastructure. I’ll be following VibeCraft updates and hoping Yandex makes it faster and more transparent.
Frequently Asked Questions
What is content repurposing?
Repurposing is the process of reworking existing content (videos, articles, webinars) into new formats for different platforms. For example, from one webinar you can create 50 short clips for TikTok, Shorts, and Reels.
Should I order repurposing or shoot something new?
If the budget is limited, repurposing is more cost-effective: it saves time and money. But if you need fundamentally new content, it’s better to shoot a new video. Compare: creating a new video costs from 10,000 ₽, while repurposing starts at 1,000 ₽ per package.
How to bypass ad bans using uniquification?
Video uniquification involves changing the background, voice tone, and adding new elements. This helps bypass anti-plagiarism and bans in ad accounts. The key is to do it well so the meaning isn’t lost.
What is a video matryoshka?
A video matryoshka is a technique where multiple variations are created from one source video, nested within each other. This allows you to scale content and create variations for A/B testing.
Conclusion
VibeCraft is a promising service, but with rough edges. If you want to quickly create websites, give it a try, but be prepared for long waits. And for video uniquification and bypassing bans, use proven methods—repurposing and content multiplication. This will save your budget and time.
Try VibeCraft yourself and share your experience in the comments. And if you need help with content automation—subscribe to blog updates, there’s plenty of useful material ahead.
