Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

🚨 FREEPIK HAS RESET AI PRICING This isn't a flash sale or a limited-time deal. Freepik has quietly changed the rules. With the same subscription, you get more generations and a lower cost per output. Unlike most platforms that rely on discounts and countdowns, Freepik has redesigned its pricing... structure. Here's what that means: ✅ Permanently reduced credit costs for top AI models ✅ More generations without upgrading plans ✅ Designed for high-volume creators and teams ✅ No gimmicks, no urgency traps One subscription now gives you access to: → Nano Banana Pro (now unlimited 🍌) → Google Veo 3.1 → Kling 2.5 & 2.6 → 30+ leading AI models → Lowest credit cost in the market Same price. More output. Long-term value. If your workflow relies on generating AI content at scale, this matters—a lot.Why pay more to generate less? 🔗 Freepikshow more

James Bond

12,654 subscribers

27,427 views • 7 months ago •via X (Twitter)

Health & Wellness Science & Technology Finance

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

🚨 Something interesting is happening with Freepik AI pricing and most people seem to have missed it. Freepik has quietly reduced the number of credits required to generate AI images and videos across major models. This means you can now create significantly more content on the same subscription. If you use AI tools on a daily basis, this change genuinely matters. Follow the complete 🧵 for image and video generation tutorial. 🧵 (1/4)

🚨 Something interesting is happening with Freepik AI pricing and most people seem to have missed it. Freepik has quietly reduced the number of credits required to generate AI images and videos across major models. This means you can now create significantly more content on the same subscription. If you use AI tools on a daily basis, this change genuinely matters. Follow the complete 🧵 for image and video generation tutorial. 🧵 (1/4)

Abhishek Yadav

30,808 views • 7 months ago

A year ago, I would NEVER have been able to create this AI COMMERCIAL. Shooting this on set and creating Fluffy with CGI would have cost a small fortune. If you're interesting in learning AI, go for it! If you're interested in commissioning a creative agency to make your next commercial with AI, go for it! This is the greatest technological revolution since the internet and the world is officially your oyster. Also, I've been pumped to enter this into Freepik (now Magnific)'s #Freepik24AIDays challenge. Freepik was and is a MASSIVE part of my workflow, so winning MILLIONS of credits or a LIFETIME sub would be a huge deal. Here's hoping, and thank you Freepik for putting this awesome campaign together! 👍 Team: Created by Jordan Daniel Chesney Co-Creator: David LaChance, Jr. Produced by JDC Entertainment Client: DoControl 👌 Tools: Images: Freepik (now Magnific), Midjourney, Flux & NB 🍌 Image Editing: Photoshop Beta Videos: Kling AI 2.1 & 2.5 Turbo Video Extension: Freepik (now Magnific) Kling + Veo 2 VFX: Qwen Wan Vace on fal + AE Upscalers: Magnific.ai & SeedVR2 Music & Foley: Epidemic Sound Post: After Effects (AE) Edit: Premiere Pro

A year ago, I would NEVER have been able to create this AI COMMERCIAL. Shooting this on set and creating Fluffy with CGI would have cost a small fortune. If you're interesting in learning AI, go for it! If you're interested in commissioning a creative agency to make your next commercial with AI, go for it! This is the greatest technological revolution since the internet and the world is officially your oyster. Also, I've been pumped to enter this into Freepik (now Magnific)'s #Freepik24AIDays challenge. Freepik was and is a MASSIVE part of my workflow, so winning MILLIONS of credits or a LIFETIME sub would be a huge deal. Here's hoping, and thank you Freepik for putting this awesome campaign together! 👍 Team: Created by Jordan Daniel Chesney Co-Creator: David LaChance, Jr. Produced by JDC Entertainment Client: DoControl 👌 Tools: Images: Freepik (now Magnific), Midjourney, Flux & NB 🍌 Image Editing: Photoshop Beta Videos: Kling AI 2.1 & 2.5 Turbo Video Extension: Freepik (now Magnific) Kling + Veo 2 VFX: Qwen Wan Vace on fal + AE Upscalers: Magnific.ai & SeedVR2 Music & Foley: Epidemic Sound Post: After Effects (AE) Edit: Premiere Pro

Jordan Daniel Chesney

66,693 views • 8 months ago

OpenAI's Sora 2 is creating incredibly realistic UGC videos... So I built a complete automation to harness it for ecommerce brands. This n8n workflow eliminates the entire traditional UGC creation process: - No more shipping products to influencers - No more waiting 2-3 weeks for content - No more paying $500-2000 per video - No more hoping creators understand your brand ✅ Upload one product image ✅ Get multiple professional UGC videos in minutes ✅ Cost: $1 per video ✅ Output: Ready-to-post content for all platforms The system uses AI to analyze your product, create the ideal influencer persona, write authentic scripts, and generate videos that look like real creators filmed them. I just released a deep-dive tutorial covering: → How the AI persona generation works → The exact prompting strategies for authentic scripts → Sora 2 integration and optimization techniques → How to set this up with my free template One test run generated 3 videos for a shampoo brand that could easily pass for real influencer content. The automation mindset is simple: spot inefficient processes and ask "How can I systematize this?" Want this workflow for yourself? - Like & RT - Follow me (so I can DM you!) - Comment "SYSTEM" below and I'll send you the complete n8n template and a step-by-step setup video. Make sure to follow for more AI automation breakdowns that save time and scale revenue.

David Roberts

10,453 views • 10 months ago

🚨BIG NEWS: 🎬 Video Arena is now live on the web! Test out Veo 3.1, Sora 2, Seedance v1.5 Pro, Kling 2.6 Pro, Wan 2.5 & more. What started last summer as a small Discord bot experiment has grown into a rigorous way to measure and understand how frontier video models perform with real-world use. Thank you to our wonderful community for all the feedback! Today, we’re opening up access by making it available on the web. 🎥 Generate videos with 15 different frontier AI models and compare them head-to-head. 📊 Vote for the best output to power the leaderboards.

🚨BIG NEWS: 🎬 Video Arena is now live on the web! Test out Veo 3.1, Sora 2, Seedance v1.5 Pro, Kling 2.6 Pro, Wan 2.5 & more. What started last summer as a small Discord bot experiment has grown into a rigorous way to measure and understand how frontier video models perform with real-world use. Thank you to our wonderful community for all the feedback! Today, we’re opening up access by making it available on the web. 🎥 Generate videos with 15 different frontier AI models and compare them head-to-head. 📊 Vote for the best output to power the leaderboards.

Arena.ai

62,793 views • 7 months ago

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

The simplest way to create an AI influencer using workflow (3 steps): Nano Banana → Veo 3 → Arcads AI Workflow Step 1: Build your character with a JSON prompt (Nano Banana Workflow) → Use a structured JSON prompt instead of writing random text → Define the look clearly: character, outfit, lighting, camera style, background → Add negative constraints like: no logos, no text, no extra fingers, no CGI skin, no warped mirror This makes the output more stable and reusable. You’re not just prompting. You’re building a repeatable image system Step 2: Turn image → video (Veo 3 Workflow) → Connect the Nano Banana output directly into Veo 3 → Add a simple motion prompt: slight body movement, natural head turn, subtle phone movement → Keep it minimal so it feels more real Workflow removes the manual back-and-forth. Step 3: Add script + voice (Arcads AI Workflow) → Feed the generated video into Arcads AI → Add a short script, usually 10–20 seconds → Generate voice + lipsync that matches the character vibe Now the character becomes actual content. Why workflow matters: Prompt → Image → Video → Voice No messy manual process. No repeating the same setup every time. Just a clean pipeline you can scale. Nano Banana + Veo 3 + Arcads AI + workflow feature = simple AI influencer factory

Alex Nguyen

35,608 views • 5 months ago

THIS $1,300 CARD HAS THE SAME 32GB OF VRAM AS A $2,000+ RTX 5090 - FOR LOCAL AI, THAT'S THE SPEC THAT DECIDES EVERYTHING. that clip is the gigabyte radeon ai pro r9700 ai top, 32gb of vram, built for local ai. the pitch is simple: the same memory capacity as an rtx 5090, for roughly a third of what a 5090 actually sells for. here's why that matters, and where it doesn't. for ai, vram is the gate. a model either fits in memory or it doesn't. 32gb loads models a 16gb card can't touch, full stop. so for running local llms and image models, this card does the one thing that counts, cheap. honest line: this is not a 5090 for gaming. the 5090 is far faster at raster and ray tracing. they only match on how much vram they carry. if you want frames, buy the 5090. if you want to fit big models locally, you just found the same 32gb for a third of the money. no $2,000+ price tag, no cloud gpu rental, no model too big for 16gb. the uncomfortable part isn't that amd is cheaper. it's that for local ai you were about to overpay for gaming power you'd never use. follow RetroChainer for more on paying for the spec that matters, and bookmark this before your next gpu.

THIS $1,300 CARD HAS THE SAME 32GB OF VRAM AS A $2,000+ RTX 5090 - FOR LOCAL AI, THAT'S THE SPEC THAT DECIDES EVERYTHING. that clip is the gigabyte radeon ai pro r9700 ai top, 32gb of vram, built for local ai. the pitch is simple: the same memory capacity as an rtx 5090, for roughly a third of what a 5090 actually sells for. here's why that matters, and where it doesn't. for ai, vram is the gate. a model either fits in memory or it doesn't. 32gb loads models a 16gb card can't touch, full stop. so for running local llms and image models, this card does the one thing that counts, cheap. honest line: this is not a 5090 for gaming. the 5090 is far faster at raster and ray tracing. they only match on how much vram they carry. if you want frames, buy the 5090. if you want to fit big models locally, you just found the same 32gb for a third of the money. no $2,000+ price tag, no cloud gpu rental, no model too big for 16gb. the uncomfortable part isn't that amd is cheaper. it's that for local ai you were about to overpay for gaming power you'd never use. follow RetroChainer for more on paying for the spec that matters, and bookmark this before your next gpu.

RetroChainer

38,844 views • 20 days ago

🚀 We launched The Studio by Mirror Mirror AI. Generating fashion campaigns with AI should save you time and budget—without compromising your brand’s identity or aesthetic. That’s why we built The Studio. ✨ The Studio lets brands create campaign-quality imagery in minutes, not weeks: ✅ Drag & drop your products and models—no prompting needed ✅ Instantly generate on-brand visuals ✅ Transform any shot with Editorial Mode polish After a year refining this with high-end fashion teams, it’s finally here. Early Access is now open—reserve your spot: Thank you to everyone who helped us bring this to life.

Yusan Lin

27,810 views • 1 year ago

you can start using opus 4.8 and other leading AI models COMPLETELY FREE. no subscription. no API credits. 100% legit. amazon is giving eligible new AWS accounts up to $200 in credits. which can be used to access models through AWS services. with it, you can explore models such as: > anthropic's claude family, including opus 4.8 and earlier generations > google's gemma series > minimax 2.5, 2.2, and 2 > deepseek v3.2 and r1 and many more. if you've been looking for a way to experiment with frontier AI models without spending your own money, this is one of the easiest places to start. the setup only takes a few minutes, and the credits can go a surprisingly long way if you're learning, building side projects, or testing ideas.

you can start using opus 4.8 and other leading AI models COMPLETELY FREE. no subscription. no API credits. 100% legit. amazon is giving eligible new AWS accounts up to $200 in credits. which can be used to access models through AWS services. with it, you can explore models such as: > anthropic's claude family, including opus 4.8 and earlier generations > google's gemma series > minimax 2.5, 2.2, and 2 > deepseek v3.2 and r1 and many more. if you've been looking for a way to experiment with frontier AI models without spending your own money, this is one of the easiest places to start. the setup only takes a few minutes, and the credits can go a surprisingly long way if you're learning, building side projects, or testing ideas.

m0h

11,242 views • 2 months ago

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

Isra

58,018 views • 2 months ago

🚀 Exciting Launch on Product Hunt: Chat Thing! 🚀 Imagine creating a fully customized AI chatbot in minutes no coding required. That’s exactly what Chat Thing makes possible! Whether you want to train a bot on your own data or integrate with powerful AI models, this tool is designed to give you complete control over your chatbot experience. Why check it out? ✅ No-code setup – Build and deploy in minutes ✅ Custom AI training – Use your own data for personalized responses ✅ Seamless integrations – Connect with APIs, databases & more ✅ Versatile use cases – Customer support, personal assistants, and beyond If you've ever wanted to build your own AI assistant, now's the time. Check out Chat Thing on Product Hunt and let us know what you think! 🔗 Support Now: #AI #NoCode #Chatbots #ProductHunt #ArtificialIntelligence

🚀 Exciting Launch on Product Hunt: Chat Thing! 🚀 Imagine creating a fully customized AI chatbot in minutes no coding required. That’s exactly what Chat Thing makes possible! Whether you want to train a bot on your own data or integrate with powerful AI models, this tool is designed to give you complete control over your chatbot experience. Why check it out? ✅ No-code setup – Build and deploy in minutes ✅ Custom AI training – Use your own data for personalized responses ✅ Seamless integrations – Connect with APIs, databases & more ✅ Versatile use cases – Customer support, personal assistants, and beyond If you've ever wanted to build your own AI assistant, now's the time. Check out Chat Thing on Product Hunt and let us know what you think! 🔗 Support Now: #AI #NoCode #Chatbots #ProductHunt #ArtificialIntelligence

RAVI KUMAR SAHU

13,123 views • 1 year ago

the V3 system is my best work yet.. i literally spent under 30 cents to create this AI UGC video i am literally mindblown by this i think it will be a while until we see something better than this.. this system fixes everything that was broken with AI UGC: > price per video is now cheaper than ever (and no it's not any of the models you've seen like seedance, kling, veo, grok, heygen.. etc) > realism has hit a whole new level (i can barely tell that this is AI) > AI voice has been fixed (no robotic kling / veo voice anymore) > the movement is the best it has ever been & you can control it however you want this is literally the best time to be alive and scale creatives without anyone stopping you except your imagination here's a recent vid i did:

the V3 system is my best work yet.. i literally spent under 30 cents to create this AI UGC video i am literally mindblown by this i think it will be a while until we see something better than this.. this system fixes everything that was broken with AI UGC: > price per video is now cheaper than ever (and no it's not any of the models you've seen like seedance, kling, veo, grok, heygen.. etc) > realism has hit a whole new level (i can barely tell that this is AI) > AI voice has been fixed (no robotic kling / veo voice anymore) > the movement is the best it has ever been & you can control it however you want this is literally the best time to be alive and scale creatives without anyone stopping you except your imagination here's a recent vid i did:

Miko

17,100 views • 3 months ago

There's an economics theorem called Alchian-Allen. And it has the very interesting implication that AI labs will be able to charge *higher* margins on their best models as compute gets scarcer. As compute gets more expensive, the cost of running any model goes up. So you might as well pay a bit more to make sure you're running the very best model. Which means the economics of being at the frontier improve, because if you’re not running the very best model, then you’re underutilizing this very precious compute. This pushes the AI model market towards winner-take-all; if you're the best, you can get away with charging an even higher margin. Dylan Patel tells me that we’re already seeing this today: all the revenue in the industry is on the best models. That’s the Alchian-Allen effect. If there’s a cost increase that’s roughly the same for all products, then the relative difference in price between higher and lower quality goods actually goes down. Consumers become relatively more willing to pay for the premium product. And it means that as the compute shortage hits, AI labs can capture more margin - not less, as you might expect - because consumers are choosing premium models more often.

There's an economics theorem called Alchian-Allen. And it has the very interesting implication that AI labs will be able to charge higher margins on their best models as compute gets scarcer. As compute gets more expensive, the cost of running any model goes up. So you might as well pay a bit more to make sure you're running the very best model. Which means the economics of being at the frontier improve, because if you’re not running the very best model, then you’re underutilizing this very precious compute. This pushes the AI model market towards winner-take-all; if you're the best, you can get away with charging an even higher margin. Dylan Patel tells me that we’re already seeing this today: all the revenue in the industry is on the best models. That’s the Alchian-Allen effect. If there’s a cost increase that’s roughly the same for all products, then the relative difference in price between higher and lower quality goods actually goes down. Consumers become relatively more willing to pay for the premium product. And it means that as the compute shortage hits, AI labs can capture more margin - not less, as you might expect - because consumers are choosing premium models more often.

Dwarkesh Patel

323,500 views • 5 months ago

Most marketing teams don’t need another AI tool that can generate one impressive video. They need one workflow that can turn a single campaign brief into dozens of consistent versions — different languages, subtitles, lip-sync, product details, and market-specific edits. Dreamina has live the world-first global launch of Dreamina Seedance 2.5. Early access is live on Dreamina, while US availability is expected roughly one week later. With up to 50 multimodal references, 30-second single-generation video, and support for 10+ languages, Seedance 2.5 gives campaigns more context before localization even begins. And with the lowest-cost access to the full Seedance family, Dreamina is currently the most cost-effective place to run the entire workflow.

Most marketing teams don’t need another AI tool that can generate one impressive video. They need one workflow that can turn a single campaign brief into dozens of consistent versions — different languages, subtitles, lip-sync, product details, and market-specific edits. Dreamina has live the world-first global launch of Dreamina Seedance 2.5. Early access is live on Dreamina, while US availability is expected roughly one week later. With up to 50 multimodal references, 30-second single-generation video, and support for 10+ languages, Seedance 2.5 gives campaigns more context before localization even begins. And with the lowest-cost access to the full Seedance family, Dreamina is currently the most cost-effective place to run the entire workflow.

Rishabh

45,483 views • 29 days ago

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

AI is taking the world by storm! Yes, it’s an incredible tool, but it’s also taking content directly from publishers, artists, and creators without compensating them. My dear friend and business partner, Bill Gross who revolutionized the tech world in the 90s by creating the pay-per-click model and selling it to Google, which still uses it today — has developed a groundbreaking solution that I’m excited to partner in with him. We’ve just launched ProRata, a new AI platform that ensures creators get paid for the content AI uses. ProRata is all about fairness — it’s pro-publisher, pro-consumer, pro -artist, pro-creator, and pro-AI. ProRata has invented an attribution algorithm that can look at the output of generative AI – text, images, music, movies – and figure out the sources that contribute to it. And they’re compensating creators by paying out 50% of the profits generated from AI searches that use their materials! This is a MASSIVE shift from how things are currently done, where AI like ChatGPT takes content without compensating creators. “We are looking to build a movement for fairness and quality content in AI.” - Bill Gross ProRata has already made deals with some of the biggest publishers including Universal Music Group, TIME, Financial Times, The Atlantic and more.

Tony Robbins

21,904 views • 2 years ago

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Our most intelligent workhorse model yet for coding and agents has arrived ⚡ Meet Gemini 3.7 Flash. — Crush that seemingly endless to-do list. Gemini Spark in the Google Gemini now uses 3.7 Flash. The new model can equip your personal AI agent to work even smarter for you by seamlessly handling complex, multi-step tasks across your Google Workspace apps like Gmail, Google Calendar and Google Docs — Enjoy a smoother build experience. The model thinks more diligently, putting more effort into multi-step planning and tool calls. A more disciplined execution means less manual oversight and fewer retries across engineering workflows — Build more, spend less. 3.7 Flash is available through the end of the year with an introductory price of half the original 3.6 Flash cost per million tokens ($0.75/1M input tokens and $3.75/1M output tokens)

Google AI

126,054 views • 15 days ago

“Surge Pricing” in American grocery stores has arrived Kroger partnered with Microsoft to introduce AI-powered technologies for personalized pricing “Kroger just rolled out surge pricing using facial recognition technology: - Determine the maximum price of goods customers are willing to pay - Kroger has the ability to change the prices of their products depending on the facial image of the person buying them - Depending on the image of the person buying the product, they can access our information and dictate that price - Can also use our image to determine how often we buy certain products and increase the price of that product - Dynamic pricing in grocery stores could resemble the airline industry's ticket pricing strategies “This could lead to discriminatory practices using AI as a scapegoat to charge people of different races, different socioeconomic status, different family sizes, and different dietary restrictions different prices for the same products that they are buying” (Kroger, the largest grocery chain in the U.S., denied claims that ESLs would be used for surge pricing, insisting its pricing strategy aims to lower costs for consumers. "To be clear, Kroger does not and has never engaged in 'surge pricing.' Any test of electronic shelf tags is designed to lower prices for more customers where it matters most”) … Yeah right

“Surge Pricing” in American grocery stores has arrived Kroger partnered with Microsoft to introduce AI-powered technologies for personalized pricing “Kroger just rolled out surge pricing using facial recognition technology: - Determine the maximum price of goods customers are willing to pay - Kroger has the ability to change the prices of their products depending on the facial image of the person buying them - Depending on the image of the person buying the product, they can access our information and dictate that price - Can also use our image to determine how often we buy certain products and increase the price of that product - Dynamic pricing in grocery stores could resemble the airline industry's ticket pricing strategies “This could lead to discriminatory practices using AI as a scapegoat to charge people of different races, different socioeconomic status, different family sizes, and different dietary restrictions different prices for the same products that they are buying” (Kroger, the largest grocery chain in the U.S., denied claims that ESLs would be used for surge pricing, insisting its pricing strategy aims to lower costs for consumers. "To be clear, Kroger does not and has never engaged in 'surge pricing.' Any test of electronic shelf tags is designed to lower prices for more customers where it matters most”) … Yeah right

Wall Street Apes

688,890 views • 1 year ago

Meetings suck. AI makes them suck more. But not for the reasons you think. Nate B Jones talks about how you are destroying company value with meetings. Everybody is looking at AI as a way to cut team sizes, but this is also wrong: - Look back at your week, you probably spent 1/3 of your time in meetings. - Team sizes max at 5, every person after that has a cost in productivity (both personal and in communication co-ordination). - Up till now, we've been willing to pay the price of each additional person in a meeting (and each meeting) because we needed to get large orgs to co-ordinate or it's chaos. - The cost of lost productivity was worth it, because each person generates maybe 200-300k in company value. - But in the age of AI, each person using AI can be maybe 5-10x more productive. This means the cost of each person in a meeting is taking away not 200k in value, but 1M per person. - Every person you add to a meeting above 5 (and I would argue per meeting), is costing you 1 - 2 million dollars. It's not worth it, not by a little, by an order of magnitude. - The naive approach is to think this means you need less people and should fire everyone. This is the wrong framing. - The correct pattern is smaller team sizes, optimal at 5, where adding an additional person does not cost you 1-2M dollars. And then doing MORE with everyone else, also in smaller strike teams of 5. - You now have excess capacity, a fleet of aircraft carriers instead of fishing boats. - Your org need to reach for MORE, instead of trying to do the same job for less. You can reach more markets, higher complexity projects and generate more revenue. Think BIGGER, not "same company, less people." He's right, and game teams should think the same way.

Meetings suck. AI makes them suck more. But not for the reasons you think. Nate B Jones talks about how you are destroying company value with meetings. Everybody is looking at AI as a way to cut team sizes, but this is also wrong: - Look back at your week, you probably spent 1/3 of your time in meetings. - Team sizes max at 5, every person after that has a cost in productivity (both personal and in communication co-ordination). - Up till now, we've been willing to pay the price of each additional person in a meeting (and each meeting) because we needed to get large orgs to co-ordinate or it's chaos. - The cost of lost productivity was worth it, because each person generates maybe 200-300k in company value. - But in the age of AI, each person using AI can be maybe 5-10x more productive. This means the cost of each person in a meeting is taking away not 200k in value, but 1M per person. - Every person you add to a meeting above 5 (and I would argue per meeting), is costing you 1 - 2 million dollars. It's not worth it, not by a little, by an order of magnitude. - The naive approach is to think this means you need less people and should fire everyone. This is the wrong framing. - The correct pattern is smaller team sizes, optimal at 5, where adding an additional person does not cost you 1-2M dollars. And then doing MORE with everyone else, also in smaller strike teams of 5. - You now have excess capacity, a fleet of aircraft carriers instead of fishing boats. - Your org need to reach for MORE, instead of trying to do the same job for less. You can reach more markets, higher complexity projects and generate more revenue. Think BIGGER, not "same company, less people." He's right, and game teams should think the same way.

Grummz

16,117 views • 5 months ago

✈️ Starting the day in Istanbul. Let's talk AI. The future of AI won't be shaped by size, but by precision. Lately I've been diving into what OpenLedger has been building, and I think we're witnessing one of the most important hard forks in AI: 👉 From giant generalist models 👉 To focused, hightrust AI agents Here's why that shift matters , and why OpenLedger's vision makes perfect sense: ✅ Specialized > Generalized General AI can do many things. But specialized AI? It does one thing extraordinarily well. Tailored models don't waste compute on irrelevant context, every parameter is purposedriven. ✅ Explainability isn't optional anymore In highstakes sectors like finance or healthcare, because the model said so won't cut it. We need transparent reasoning paths. Models must show how they reached conclusions , not just what they concluded. ✅ Trust comes from traceability With OpenLedger's Proof of Attribution, each AI decision is traceable, verifiable, and tamperproof. We're talking onchain records of who contributed what , accountability by design. ✅ Less hallucination, more signal Smaller, specialized models trained on clean, domainspecific data are far less prone to hallucinations. Clear boundaries = higher reliability. ✅ Efficiency is the real scalability Deploying one massive model for everything? Expensive, slow, and unsustainable. Specialized AI is leaner, faster, and far more costeffective. In short, OpenLedger isn't just following a trend. They're laying the rails for the infrastructure layer of verifiable, domainaware AI. And in a space flooded with blackbox models and hype, that clarity hits different.

✈️ Starting the day in Istanbul. Let's talk AI. The future of AI won't be shaped by size, but by precision. Lately I've been diving into what OpenLedger has been building, and I think we're witnessing one of the most important hard forks in AI: 👉 From giant generalist models 👉 To focused, hightrust AI agents Here's why that shift matters , and why OpenLedger's vision makes perfect sense: ✅ Specialized > Generalized General AI can do many things. But specialized AI? It does one thing extraordinarily well. Tailored models don't waste compute on irrelevant context, every parameter is purposedriven. ✅ Explainability isn't optional anymore In highstakes sectors like finance or healthcare, because the model said so won't cut it. We need transparent reasoning paths. Models must show how they reached conclusions , not just what they concluded. ✅ Trust comes from traceability With OpenLedger's Proof of Attribution, each AI decision is traceable, verifiable, and tamperproof. We're talking onchain records of who contributed what , accountability by design. ✅ Less hallucination, more signal Smaller, specialized models trained on clean, domainspecific data are far less prone to hallucinations. Clear boundaries = higher reliability. ✅ Efficiency is the real scalability Deploying one massive model for everything? Expensive, slow, and unsustainable. Specialized AI is leaner, faster, and far more costeffective. In short, OpenLedger isn't just following a trend. They're laying the rails for the infrastructure layer of verifiable, domainaware AI. And in a space flooded with blackbox models and hype, that clarity hits different.

Crypto Sinan

13,636 views • 1 year ago

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?

Ricardo

47,790 views • 1 month ago

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

Jordan Daniel Chesney

62,089 views • 11 months ago