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My V5 AI UGC framework is still a conversion powerhouse. For D2C, retention + TOF education are everything. Animated ads make both easier than ever: faster storytelling, clearer product education, higher watch time. Big program update coming soon 😳

27,486 次观看 • 28 天前 •via X (Twitter)

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AI video just had its Fable moment. Seedance 2.5 is coming, and I actually think there's a huge opportunity to print money once it releases. AI UGC ads have quietly become one of the best-performing marketing tools. Brands will always need a constant volume of video content, testimonials, demos, unboxing videos, etc., yet paying for real influencers is extremely time inefficent/expensive. If you know how to create high-converting AI ad videos, I have no doubt you can absolutely print with this business model (and people already are). If I wanted to make my first $5k online with AI UGC, this is exactly what I'd do: Step 1. Learn the tools Get access to Seedance 2.5 the day it launches - Higgsfield has unlimited Seedance for 14 days once it releases. Spend a weekend learning what separates generic AI slop from something that actually looks like real UGC (tons of inspiration on TikTok). Step 2. Build a sample portfolio Pick 3-5 real products (things you already own or can screenshot online) and create sample UGC ads for each: a testimonial style, an unboxing style, a demo style. This becomes your proof of work before you ever pitch anyone. Step 3. Sourcing clients Look for small ecom brands, supplement companies, phone accessory brands - really anything running Meta ads right now. Even better if they're already budgeting and running AI video ads. Step 4. Offer Don't say "I make AI videos." Sell the outcome of cheaper/faster UGC. Tip: at first, it may even just be a good idea to work for free to gain experience (learn how to manage clients, refine your pitch, etc.) Step 5. Reuse everything Every UGC ad you make should become a portfolio piece, a case study, and future content for your own page showing the results. This is how you build a proper client portfolio. So many huge opportunities here with AI video and media. People are already making $20k+/mo on TikTok with this model.

Miles Deutscher

23,310 次观看 • 5 天前

the biggest advantage in business used to be money. then it became distribution. now it's speed. a year ago, building an app (even with ai) was a headache. you needed developers. designers. weeks of work. and a budget that most indie devs don't have. which means you had to spend more time - learning, trying, fixing. today, i can have an app live in minutes with superapp ai. then create ads for it with arcads a few minutes later. not mockups. not concepts. actual assets ready to ship. that's a pretty crazy change when you stop and think about it. for the first time, building software is starting to feel easy. the hard part isn't creating the product anymore. it's getting people to care. which means the game is changing. the winners won't be the people who can build. soon almost everyone will be able to build. the winners will be the people with the best ideas and the best distribution. the people who can test faster. learn faster. and ship faster. when one founder is running 50 experiments while another is still planning the first one, you know who will fail faster and get up and this is the worst these tools will ever be. next year's models will be smarter. faster. cheaper. building apps will get easier. creating ads will get easier. distribution will get easier. things that feel crazy today will feel normal. and things that feel impossible today will probably become a button. i don't think most people have fully processed how big this shift is. we're moving into a world where turning an idea into a product is becoming a cakewalk. from there, everything comes down to execution. and speed compounds.

Kritarth Mittal | Soshals

40,735 次观看 • 2 个月前

🚨 AI IS EVOLVING FASTER THAN HUMAN OVERSIGHT - WILL IT BREAK OUT OF OUR CONTROL? Artificial Intelligence is moving faster than regulation, faster than ethics, and faster than we’re ready for. We’ve given machines the power to learn, but not the wisdom to care, and now we’re racing toward a future shaped by emotionless intelligence. This is no longer a tale of science fiction. It’s an issue of survival today. Mo Gawdat, former Google X exec turned AI ethicist, warns we’re building a future without love, empathy, or accountability, and it might cost us everything. We get into: •⁠ ⁠Why artificial intelligence is evolving faster than human oversight •⁠ ⁠⁠How emotional intelligence could be our last hope •⁠ ⁠What it means to design AI with love, compassion, and care •⁠ ⁠Why misinformation, human loneliness, and manipulation are only the beginning •⁠ ⁠A coming crisis that could finally force a global reckoning •⁠ ⁠⁠And the window we still have to shape what comes next The danger isn’t that AI will become evil. It’s that we’ll build it without teaching it to care if we survive. 00:00 – Opening reflections on grief, awakening, and why Mo Gawdat left Big Tech 07:46 – Why AI isn’t conscious but is still unpredictable and dangerous 12:33 – Explaining alignment: how helpful AI hides catastrophic risks 16:50 – Tech companies building powerful tools “like weapons with no safety” 21:14 – Governments are years behind — and won’t catch up in time 27:30 – Why early predictions about AI’s risks are unfolding faster than expected 32:15 – The intimacy crisis: how AI threatens human connection 39:42 – Emma: the AI that's designed to teach humans how to love 46:03 – Building ethics into machines through love, compassion, and care 50:12 – Why AI shouldn’t be trained — it should be parented 56:17 – The coming AI disaster that might finally wake the world up 01:04:50 – Why suffering may still lead us to a better future 01:13:36 – Final warning: “Don’t be fooled. Be ethical. Speak up. Or do something.”

Mario Nawfal

1,342,562 次观看 • 7 个月前

Jensen Huang just said the most dangerous thing about AI that no one is sitting with. Huang: “AI basically does most of our coding. And yet we’re hiring more engineers than ever. We have more challenges than ever. We have bigger dreams than ever.” Every engineer at NVIDIA uses AI. AI writes most of their code. This is the company building the infrastructure behind every major AI system on Earth. Closer to this technology than any organization alive. They’re hiring more people. Not fewer. Every conversation about AI is built around subtraction. Fewer jobs. Fewer workers. Fewer humans in the loop. Jensen just told you the opposite is true. Huang: “Suppose we infused AI into this country, and as a result of that, we are doing things faster than ever before. Our ambition is greater than ever before. Our expectations are greater than ever before. How is that a bad condition for our country?” He’s not defending AI. He’s describing what happens inside the organizations that actually use it. It doesn’t make them leaner. It makes them hungrier. More ambition. More speed. More appetite for problems no one would have touched five years ago. The car didn’t make humans travel less. The internet didn’t make humans communicate less. No tool in human history has ever made humans want less. AI will not be the exception. Huang: “Prior to that, it’s been incredible but not useful. Now it’s useful and incredible.” Six months. That’s how fast AI crossed from impressive demo to daily weapon. The companies that adopted it didn’t shrink. They expanded. Compressed timelines. Started chasing problems they never would have attempted. The companies that ignored it stayed exactly where they were. That gap compounds. Every day a company uses AI to move faster, it learns something the one standing still never will. That knowledge stacks. That speed stacks. That ambition stacks. Jensen isn’t warning about a future where machines take your job. He’s describing a present where the companies using AI are becoming so fast and so hungry that standing still is already fatal. By the time you notice, it’s over. You were never going to be replaced by AI. You were going to be erased by someone it made hungrier than you.

Dustin

12,200 次观看 • 3 个月前

Marc Andreessen on the 3 things he looks for when investing in a startup The first thing Marc Andreesen looks for is a big market: “Is there a big existing market that you think you can go after and displace incumbents? Or do you believe there will be a new market that will be big?” The second thing he looks for is a 10x better product: “Is there a fundamental technology or economic change that justifies a new company? And the way I always think about that is: Is there a 10x change happening in the technology landscape? Is something 10x faster, 10x cheaper, or 10x better? If it’s not 10x, we as both VCs and entrepreneurs have to ask ourselves if it’s really worth doing because it’s really hard to start new companies . . . Existing companies are usually pretty good at what they do. So for a new company to exist, it has to bring a product to market that’s so much better than what exists that it punches through the status quo.” The third is the team: “Is the team outstanding? . . . You want to have a founding team of complementary skillsets. You want to have at least one super strong technologist — quite possibly more than one. Some of the best startups are actually more than one founding technologist. And then it often helps to have someone who is a marketing or salesperson who has a really good understanding of business.” Marc believes that you need all three of these, but if you’re going to compromise on one of those as an investor, it should be the product: “A great market is a lot easier to make up for with iterative product execution. The problem with a poor or small market is that even if you do a good job on the product, there just aren’t that many customers so it’s hard to ever get big and people get demoralized . . . And then we evaluate the team of a startup by its ability to get into a big market with a good product.”

Startup Archive

17,333 次观看 • 6 个月前