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YouTube is more than just a video platform; its comment section is a treasure trove of insights waiting to be unearthed. 1. Export all comments from any YouTube video, 2. Integrate with a vector database like Weaviate AI Database, 3. Create multiple AI agents to analyze language, sentiment, and...

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Muratcan Koylan

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181,397 views • 2 years ago •via X (Twitter)

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THIS IS F**KING GOLD You can build an entire YouTube content workflow with AI without filming yourself, hiring an editor, or spending hours creating every scene manually. The strategy is simple: → Find a niche with videos already getting millions of views → Study the transcripts of successful videos → Feed the transcript into an AI tool → Generate multiple video prompts from the content → Create the visuals with Sora and swaggi ai → Combine the clips into a longer YouTube video → Upload and monetize the content And here's the interesting part: Long-form YouTube content can generate significantly more revenue per view than Shorts because of higher RPMs. So instead of trying to go viral with random content, you can study what's already working, use AI to speed up production, and build an entire faceless content pipeline around it. The tools are getting ridiculously good. Bookmark and follow for more
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THIS IS F**KING GOLD You can build an entire YouTube content workflow with AI without filming yourself, hiring an editor, or spending hours creating every scene manually. The strategy is simple: → Find a niche with videos already getting millions of views → Study the transcripts of successful videos → Feed the transcript into an AI tool → Generate multiple video prompts from the content → Create the visuals with Sora and swaggi ai → Combine the clips into a longer YouTube video → Upload and monetize the content And here's the interesting part: Long-form YouTube content can generate significantly more revenue per view than Shorts because of higher RPMs. So instead of trying to go viral with random content, you can study what's already working, use AI to speed up production, and build an entire faceless content pipeline around it. The tools are getting ridiculously good. Bookmark and follow for more

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OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.
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Plot

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Triple Whale 🐳

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The Pokémon market is going absolutely parabolic right now. It would be criminal NOT to use AI to spot money-making opportunities during this crazy bull market. This Reddit user created a Pokémon database using AI - and I can't believe more people aren't doing the same. It tracks your portfolio in real time, hunts local card-buying opportunities, sends you automatic price alerts & much more. Should I make a dedicated YouTube video on how to build something similar? Let me know, and I'll deliver!
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Fraction AI

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I have been wanting to test performance transfer in Seadance 2.5 since launch, now I have, I am really impressed by the results. I wrote a short script and recorded myself giving a rallying speech as an orc warlord, then fed this and an image of the orc into Seedance with this prompt "A cinematic close up of an orc warlord giving a rallying speech to his army of orcs. Transfer the performance, movement and audio from Video 1 onto the the character Image 1. Do not add any music" I didn't prompt the dialogue or performance in text. The first video you see is a a final cut of the video, the second is the final cut of the video with my video performance. As you can see it's not an exact like-for-like transfer of the performance and voice but more a interpretation by Seedance. It's made my amateur performance better IMHO, more fitting with the creator but retain the essence, nuance and context. So you don't have to feed in a long prompt to get good performance out of your AI actors you can just show them what you want with a video! I used Seedance Enterprise on bytedances lumina platform Lumina link in the comments!
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I have been wanting to test performance transfer in Seadance 2.5 since launch, now I have, I am really impressed by the results. I wrote a short script and recorded myself giving a rallying speech as an orc warlord, then fed this and an image of the orc into Seedance with this prompt "A cinematic close up of an orc warlord giving a rallying speech to his army of orcs. Transfer the performance, movement and audio from Video 1 onto the the character Image 1. Do not add any music" I didn't prompt the dialogue or performance in text. The first video you see is a a final cut of the video, the second is the final cut of the video with my video performance. As you can see it's not an exact like-for-like transfer of the performance and voice but more a interpretation by Seedance. It's made my amateur performance better IMHO, more fitting with the creator but retain the essence, nuance and context. So you don't have to feed in a long prompt to get good performance out of your AI actors you can just show them what you want with a video! I used Seedance Enterprise on bytedances lumina platform Lumina link in the comments!

Uncanny Harry AI

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The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.
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The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

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Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!
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Reports are getting a MAJOR update starting today (buckle up, this is a big one 🤯): 1) You can now create your own report that perfectly fits your needs by specifying the structure, style, tone, and more. 2) We've added the language picker to reports, so you can now create a report in any of our 80+ supported languages. 3) Notebook will now offer dynamic suggestions for topics or themes all based on your sources, from overviews to deep dives. For example, uploading scientific papers might suggest creating a white paper, while news articles could generate explainers. 4) You can now fully customize prompts to any of your reports 5) We're introducing a new stock report— blog posts!

Gemini Notebook

905,331 views • 1 year ago

Reddit is deleting 25,000 posts a day. Most of them aren't spam bots. They're brands. This July, Reddit said it's now catching around 25,000 spammy posts and comments a day, using its own AI. Here's the part that matters: a lot of it isn't random spam. It's stealth marketing, content designed to look organic, built specifically to get a brand mentioned inside ChatGPT or Gemini. Reddit has content deals with OpenAI and Google. Those AI tools pull real answers from real Reddit threads. So if you can fake a thread, you can quietly plant your brand inside millions of AI answers. Reddit's response: new accounts get reviewed on creation, bots have to verify they're not human, and the platform now hunts for what it calls "coordinated patterns of fake behavior" the old systems missed. That's the AI slop cannon in the wild. Mass output, zero judgment, trying to force scale instead of earning it. And it's getting caught. So, what should you do with these changes on Reddit? I would actually tell you to not focus as much on Reddit, even though they have deals with both Open AI and Google. See, to really do well on Reddit, you need to network with other users. You need to provide a lot of helpful insights to people, and you can't really self-promote. The easier solution to get included both into Gemini and ChatGPT is actually to focus on LinkedIn. If you post content on LinkedIn, it's getting pulled heavily into both of these platforms. You control it cuz it's your own profiles. You also have people who work with you. They also can post. But here's the key. LinkedIn can now detect if the content being posted on your profile page is created through AI. If you create the content through AI, it only gets shown to your followers. If you create the content using your own words and typing it out manually and not using AI, it can get shown to your followers plus more. So the goal here is for you to now create content and publish it more on LinkedIn and switch your strategy to a LinkedIn first strategy over Reddit because even though Reddit works, it is going to be much more harder for you to penetrate. If you want to focus on Reddit, it's all about being helpful. Think of karma. The more you help people, the better off you're going to do.
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Reddit is deleting 25,000 posts a day. Most of them aren't spam bots. They're brands. This July, Reddit said it's now catching around 25,000 spammy posts and comments a day, using its own AI. Here's the part that matters: a lot of it isn't random spam. It's stealth marketing, content designed to look organic, built specifically to get a brand mentioned inside ChatGPT or Gemini. Reddit has content deals with OpenAI and Google. Those AI tools pull real answers from real Reddit threads. So if you can fake a thread, you can quietly plant your brand inside millions of AI answers. Reddit's response: new accounts get reviewed on creation, bots have to verify they're not human, and the platform now hunts for what it calls "coordinated patterns of fake behavior" the old systems missed. That's the AI slop cannon in the wild. Mass output, zero judgment, trying to force scale instead of earning it. And it's getting caught. So, what should you do with these changes on Reddit? I would actually tell you to not focus as much on Reddit, even though they have deals with both Open AI and Google. See, to really do well on Reddit, you need to network with other users. You need to provide a lot of helpful insights to people, and you can't really self-promote. The easier solution to get included both into Gemini and ChatGPT is actually to focus on LinkedIn. If you post content on LinkedIn, it's getting pulled heavily into both of these platforms. You control it cuz it's your own profiles. You also have people who work with you. They also can post. But here's the key. LinkedIn can now detect if the content being posted on your profile page is created through AI. If you create the content through AI, it only gets shown to your followers. If you create the content using your own words and typing it out manually and not using AI, it can get shown to your followers plus more. So the goal here is for you to now create content and publish it more on LinkedIn and switch your strategy to a LinkedIn first strategy over Reddit because even though Reddit works, it is going to be much more harder for you to penetrate. If you want to focus on Reddit, it's all about being helpful. Think of karma. The more you help people, the better off you're going to do.

Neil Patel

12,876 views • 1 month ago

Creating commercials with AI has become a lot more fun than I expected. Excited to join the #GAIC Season 2 challenge with Ima Studio and see what I can create. If you're into AI filmmaking or creative ads, this is definitely worth checking out. 🚀 Here's what the challenge is about: Create a 1+ minute AI commercial for any brand you love using Ima Studio. Compete for $10,000 in prizes. What you need to know: • Tool: Ima Studio • Length: 1+ minutes minimum • Deadline: August 10 • Prize pool: $10,000 split across 10 winners You can make: → A concept ad for a real brand (Nike, Apple, Tesla) → A commercial for a fictional future brand → An AI ad for a local business you support Just label it clearly as fan-made if you use a real brand. Timeline: → Submissions: July 10 – August 10 → Judging: August 11 – 17 → Winners announced: August 18 – 21 Create with Ima Studio: Join the challenge & submit your commercial: If you've been sitting on a creative idea, this is your push actually to build it.
1:00

Creating commercials with AI has become a lot more fun than I expected. Excited to join the #GAIC Season 2 challenge with Ima Studio and see what I can create. If you're into AI filmmaking or creative ads, this is definitely worth checking out. 🚀 Here's what the challenge is about: Create a 1+ minute AI commercial for any brand you love using Ima Studio. Compete for $10,000 in prizes. What you need to know: • Tool: Ima Studio • Length: 1+ minutes minimum • Deadline: August 10 • Prize pool: $10,000 split across 10 winners You can make: → A concept ad for a real brand (Nike, Apple, Tesla) → A commercial for a fictional future brand → An AI ad for a local business you support Just label it clearly as fan-made if you use a real brand. Timeline: → Submissions: July 10 – August 10 → Judging: August 11 – 17 → Winners announced: August 18 – 21 Create with Ima Studio: Join the challenge & submit your commercial: If you've been sitting on a creative idea, this is your push actually to build it.

Sufyan Maan, M.Eng

15,135 views • 2 months ago

David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”
1:43

David Friedberg: “Gaming is the future of entertainment, and the future of gaming is AI.” @jason: “Friedberg, what are your thoughts on the gaming industry versus social media versus traditional media?” david friedberg: “One way to answer that question is to think about how people spend their time.” “Do you spend more minutes on social media, or on traditional media, or playing games? And how is that trending?” “But importantly, which of those will accrue more benefit, and as a result, drive more hours spent from AI?” “One way to think about this thesis is that AI is going to ultimately accrue to video game entertainment far more than social media entertainment or traditional content.” “If you believe in AI, and you believe in the improvements in productivity, generally speaking, people in the industrialized world will generally have more free time on their hands and be able to support themselves with the deflationary effects of AI over time.” “So if there's more time on people's hands, the general market for entertainment is growing, and if the general market for entertainment is growing, gaming is the future of entertainment, and the future of gaming is AI.” “Because I think you can create dynamic, more engaging experiences that will benefit from a back and forth sort of relationship than you can with traditional content or with social media.” “If you're a noob in Fortnite, like you're an early player in Fortnite, you're mostly playing against AI, because what they do is they tune the AI to be easier to beat so that you can slowly develop your skills.” “What was happening early was they were seeing a high degree of churn in Fortnite because kids would go on and play for the first time and they'd get paired up with kids that were better than them, and so they would never win, and they would get frustrated and they would quit the game and stop.” “So the churn rate was high. So AI unlocked higher engagement and higher retention, and I think we're seeing that in a lot of different gaming platforms now.” “So AI can be used, for example, to maximally increase time, engagement, satisfaction, happiness.”

The All-In Podcast

70,398 views • 11 months ago

Build a RAG Application from Scratch 🐕 This video covers the architecture behind Verba 0.3.0! The design behind Verba is to have an explicit manager for each core component of RAG pipelines (Read, Chunk, Embed, Retrieve, Generate) 1. ReaderManager: Load in your data (GitHubReader, PDFReader, SimpleReader, etc.) 2. ChunkManager: Chunk up your data into smaller bits (avoids hitting the token limit and results in better retrieval) 3. EmbeddingManager: Convert your data into embeddings (use OpenAI, Cohere, SentenceTransformer, etc.) 4. RetrieverManager: Retrieve the relevant context from your query 5. GenerationManager: Generate an answer from the retrieved chunks Test out Verba on the Weaviate AI Database docs/blogs here: Verba repo:
4:36

Build a RAG Application from Scratch 🐕 This video covers the architecture behind Verba 0.3.0! The design behind Verba is to have an explicit manager for each core component of RAG pipelines (Read, Chunk, Embed, Retrieve, Generate) 1. ReaderManager: Load in your data (GitHubReader, PDFReader, SimpleReader, etc.) 2. ChunkManager: Chunk up your data into smaller bits (avoids hitting the token limit and results in better retrieval) 3. EmbeddingManager: Convert your data into embeddings (use OpenAI, Cohere, SentenceTransformer, etc.) 4. RetrieverManager: Retrieve the relevant context from your query 5. GenerationManager: Generate an answer from the retrieved chunks Test out Verba on the Weaviate AI Database docs/blogs here: Verba repo:

Erika Shorten

155,273 views • 2 years ago

I know a guy running a $2K/month local newsletter business with 4 AI Agents. It's called 'Spokane Pulse" and has 7,400 subscribers, 47.5% open rate, ~11% CTR. Here's how the agents work: → A Growth Engineer agent scrapes every local news site, subreddit, and event calendar at 6am daily. It also manages all the Facebook ads for the subscriber growth → A Content Director reads the database and writes the weekly newsletter in his voice → A Sales Director handles every inbound advertiser — email back-and-forth, package pitching, AI-generated ad creative → A CEO agent orchestrates all three and reports back to him The result: a real local media business that runs like a company instead of a stack of cron jobs. This business is live and real (you can check it out yourself (link in comments) If you want the full course giving away the exact blueprint, do this: Like this post + Comment "NEWSLETTER" (must be following so I can dm) I'll send you the complete course and the city-by-city playbook — see video below.
0:44

I know a guy running a $2K/month local newsletter business with 4 AI Agents. It's called 'Spokane Pulse" and has 7,400 subscribers, 47.5% open rate, ~11% CTR. Here's how the agents work: → A Growth Engineer agent scrapes every local news site, subreddit, and event calendar at 6am daily. It also manages all the Facebook ads for the subscriber growth → A Content Director reads the database and writes the weekly newsletter in his voice → A Sales Director handles every inbound advertiser — email back-and-forth, package pitching, AI-generated ad creative → A CEO agent orchestrates all three and reports back to him The result: a real local media business that runs like a company instead of a stack of cron jobs. This business is live and real (you can check it out yourself (link in comments) If you want the full course giving away the exact blueprint, do this: Like this post + Comment "NEWSLETTER" (must be following so I can dm) I'll send you the complete course and the city-by-city playbook — see video below.

David Roberts

62,309 views • 4 months ago

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.
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For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,648 views • 10 months ago