Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Just sat down with Yev Marusenko, Yev Marusenko, from Sizzle AI—an edtech app with millions of users that’s rethinking how our kids (and we) learn in the AI era. 📱 Sizzle isn’t just “ChatGPT for homework.” It builds entire courses from your prompts—bite-sized, mobile, interactive. 💡 Why it matters:...

Scobleizer's profile picture

Robert Scoble

603,860 subscribers

25,685 görüntüleme • 1 yıl önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

10 Yorum

Yev Marusenko, Ph.D. profil fotoğrafı
Yev Marusenko, Ph.D.1 yıl önce

My pleasure! Thank you Robert. Great questions and your insights made me think! Lots of room for AI to continue disrupting education.

Robert Scoble profil fotoğrafı
Robert Scoble1 yıl önce

Love! I learned a lot too!

Places Visited & Pictures Taken profil fotoğrafı
Places Visited & Pictures Taken2 yıl önce

How do you choose the best picture in less time?

SizzleAI profil fotoğrafı
SizzleAI1 yıl önce

@DoctorYev Less gamification dopamine, more brain growth. 💯🎯🧠

Cheesecake Classics profil fotoğrafı
Cheesecake Classics1 yıl önce

@DoctorYev Terrific idea. Kudos 🍸

Avi ⚜️ profil fotoğrafı
Avi ⚜️1 yıl önce

@DoctorYev @Infinilearn_ is doing a similar thing. Education is going to transform with AI.

Hanrii 🍌🍕 profil fotoğrafı
Hanrii 🍌🍕1 yıl önce

@DoctorYev 👀

Mike Boysen (JTBD/acc) profil fotoğrafı
Mike Boysen (JTBD/acc)1 yıl önce

@DoctorYev What will annexpensive piece of paper actually be worth next year once these approaches get normalized? Not much

Robert Scoble profil fotoğrafı
Robert Scoble1 yıl önce

@DoctorYev What matters is your brain.

Mohan Narendran profil fotoğrafı
Mohan Narendran1 yıl önce

@DoctorYev Thanks very much @Scobleizer

Benzer Videolar

Episode 5 of How I AI with some practical AI hacks for managers from hilary gridley, Head of Core Product at WHOOP. This one is all about feedback: how to scale it, how to make it specific, how to give it to AI tools. You’ll learn how to: - build rubrics for what “good” looks like - create GPTs to “think like you” and use them to scale quality feedback to your team - use prompting techniques to improve the insights you get from AI - improve your quality of writing and strategic thinking by bringing it all together Plus we gab about getting more women in AI, girly use cases for chatGPT, and whether or not getting invited to meetings is a good thing. Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for genetic workflows ☑️ Vanta automate compliance and simplify security
0:41

Episode 5 of How I AI with some practical AI hacks for managers from hilary gridley, Head of Core Product at WHOOP. This one is all about feedback: how to scale it, how to make it specific, how to give it to AI tools. You’ll learn how to: - build rubrics for what “good” looks like - create GPTs to “think like you” and use them to scale quality feedback to your team - use prompting techniques to improve the insights you get from AI - improve your quality of writing and strategic thinking by bringing it all together Plus we gab about getting more women in AI, girly use cases for chatGPT, and whether or not getting invited to meetings is a good thing. Check it out in the links below 👇🔗 As always, a big thanks to our sponsors: 🔀 Orkes enterprise platform for genetic workflows ☑️ Vanta automate compliance and simplify security

claire vo 🖤

19,127 görüntüleme • 1 yıl önce

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!
1:28

Most AI tools today are just command-takers. You type, it responds. You click, it executes. There's truly no learning, no memory, no adaptation. You're still doing most of the work. Which is why Miles by Avo on Solana would make so much sense if built well. From what I understand so far, miles learns about you over time, adapts to how you operate, and figures out the tools you struggle to navigate on your own. Less clicking, more conversation, the more you use it, the better it gets at working with you, not just for you. That shift from command-follower to learning companion is bigger than it sounds. It's the difference between a tool and an agent that actually knows you. The second one is Agent Grid and this one is for builders and power users. But as I mentioned in this video, I'm still studying the Agent Grid. I'd come talk about it once I learn properly about it. Souren just keeps shipping!

Sir Khaycee

20,465 görüntüleme • 5 ay önce

Elon Musk: At this point, education is mostly a social experience. You don’t actually need school to learn anymore. With AI, you can learn just as much—or more—on your phone at home. School is becoming less about knowledge and more about being around people your own age. People should go to school today mainly for the social side of it. The learning itself? AI can already do that better. Conventional schooling could be vastly improved, and individualized AI teachers will outperform the one-size-fits-all classroom. Education doesn’t need to happen in a building anymore. You could learn everything at home on your phone. Kids go to school to hang out, build social skills, and experience a coming-of-age—not because it’s the most effective way to learn. School today functions as a social filter, not a learning engine. AI handles the learning better. Humans still go to school for friendships, relationships, leadership, confidence, and real-world social development.
1:29

Elon Musk: At this point, education is mostly a social experience. You don’t actually need school to learn anymore. With AI, you can learn just as much—or more—on your phone at home. School is becoming less about knowledge and more about being around people your own age. People should go to school today mainly for the social side of it. The learning itself? AI can already do that better. Conventional schooling could be vastly improved, and individualized AI teachers will outperform the one-size-fits-all classroom. Education doesn’t need to happen in a building anymore. You could learn everything at home on your phone. Kids go to school to hang out, build social skills, and experience a coming-of-age—not because it’s the most effective way to learn. School today functions as a social filter, not a learning engine. AI handles the learning better. Humans still go to school for friendships, relationships, leadership, confidence, and real-world social development.

Ian Miles

293,519 görüntüleme • 7 ay önce

What do you do for a living today? AI and intelligent robots will increasingly take over many tasks from humans. And they will do it better, faster and cheaper. Yes, yours too. Many people will work much less or not at all in normal jobs. And earn less or even nothing. What will you live on then? And how will our companies survive when their customers don't have the money to buy their products and services? This is the key question for your financial future! We will take a look at three scenarios for the future of our life and the economy. If AI and robots work for us on a large scale, our future could be great. However, it could also turn out quite differently. We could also wake up in a horror scenario. Because we have a huge and catastrophic flaw in our economic system that could lead to disaster in a world of AI and robotics. Correcting this mistake is the biggest challenge. What the flaw is and how we can fix it, you'll learn in this video.
25:39

What do you do for a living today? AI and intelligent robots will increasingly take over many tasks from humans. And they will do it better, faster and cheaper. Yes, yours too. Many people will work much less or not at all in normal jobs. And earn less or even nothing. What will you live on then? And how will our companies survive when their customers don't have the money to buy their products and services? This is the key question for your financial future! We will take a look at three scenarios for the future of our life and the economy. If AI and robots work for us on a large scale, our future could be great. However, it could also turn out quite differently. We could also wake up in a horror scenario. Because we have a huge and catastrophic flaw in our economic system that could lead to disaster in a world of AI and robotics. Correcting this mistake is the biggest challenge. What the flaw is and how we can fix it, you'll learn in this video.

Dr Pero Micic

12,010,243 görüntüleme • 1 yıl önce

If you listen to folks in the AI labs right now, they’re all quietly terrified by the speed of AI development. Anthropic just published a letter openly asking for the option to pause or slow R&D because of how fast recursive self-improvement is coming but noting that they can’t do that without being able to verify that their competitors were doing the same. That’s why it’s critically important that we build the tech needed to verify AI agreements. On this week’s episode of Your Undivided Attention, I sat down with two experts on AI governance, Tim Fist and Janet Egan, to talk about the kinds of verification technology we need for AI, the challenges of building it, and the world it could unlock if we did. Given how critical verification technology is, you would assume there are thousands of people working in it. In reality, there’s only around fifty. We urgently need to put our attention, time, and energy into this critical area. Check out our full conversation:
1:00

If you listen to folks in the AI labs right now, they’re all quietly terrified by the speed of AI development. Anthropic just published a letter openly asking for the option to pause or slow R&D because of how fast recursive self-improvement is coming but noting that they can’t do that without being able to verify that their competitors were doing the same. That’s why it’s critically important that we build the tech needed to verify AI agreements. On this week’s episode of Your Undivided Attention, I sat down with two experts on AI governance, Tim Fist and Janet Egan, to talk about the kinds of verification technology we need for AI, the challenges of building it, and the world it could unlock if we did. Given how critical verification technology is, you would assume there are thousands of people working in it. In reality, there’s only around fifty. We urgently need to put our attention, time, and energy into this critical area. Check out our full conversation:

Tristan Harris

46,430 görüntüleme • 2 ay önce

🧵24/34 Inner Misalignment --- Consider this simplified experiment: We want this AI to find the exit of the maze. So we feed it millions of maze variations and reward it when it finds the exit. Please notice that in the worlds of the training data the apples are red and the exit is green. After enough training, our observation is that it has become extremely capable at solving mazes and finding the exit, we feel very confident it is aligned, so then we deploy it to the real world. The real world will be different though, it might have green apples and a red door. The AI geeks call this distributional shift. We expected that the AI will generalise and find the exit again, but in fact we now realise that the AI learned something completely different from what we thought. All the while we thought it learned how to find the exit, it had learned how to go after the green thing. Its behaviour was perfect in training. And most importantly, this AI is not stupid, it is an extremely capable AI that can solve extremely complex mazes. It’s just mis-aligned on the inside. Fishing for Failure modes --- The way to handle the shift between the training and deployment distributions is with methods like adversarial training: feeding it with a lot of generated variations and trying to make it fail so the weakness can be fixed. In this case, we generate an insane amount of maze variations, we discover those for which it fails to find the exit (like the ones with the green apples or the green walls or something), we generate many more similar to that and train it with reinforcement learning until it performs well at those as well. The hope is that we will cover everything it might encounter later when we deploy it in real life. There exist at least 2 basic ways this approach falls apart: First, there will never be any guarantee that we’ll have covered every possible random thing it might encounter later when we deploy it in real life. It’s very likely it will have to deal with stuff outside its training set which it will not know how to handle and will throw it out of balance and break it away from its expected behavioural patterns. The cascade effect of such a broken mind operating in the open world can be immense, and with super-capable runaway rogue agents, self-replicating and recursively self-improving, the phenomenon could grow and spread to an extinction-level event. ...
3:19

🧵24/34 Inner Misalignment --- Consider this simplified experiment: We want this AI to find the exit of the maze. So we feed it millions of maze variations and reward it when it finds the exit. Please notice that in the worlds of the training data the apples are red and the exit is green. After enough training, our observation is that it has become extremely capable at solving mazes and finding the exit, we feel very confident it is aligned, so then we deploy it to the real world. The real world will be different though, it might have green apples and a red door. The AI geeks call this distributional shift. We expected that the AI will generalise and find the exit again, but in fact we now realise that the AI learned something completely different from what we thought. All the while we thought it learned how to find the exit, it had learned how to go after the green thing. Its behaviour was perfect in training. And most importantly, this AI is not stupid, it is an extremely capable AI that can solve extremely complex mazes. It’s just mis-aligned on the inside. Fishing for Failure modes --- The way to handle the shift between the training and deployment distributions is with methods like adversarial training: feeding it with a lot of generated variations and trying to make it fail so the weakness can be fixed. In this case, we generate an insane amount of maze variations, we discover those for which it fails to find the exit (like the ones with the green apples or the green walls or something), we generate many more similar to that and train it with reinforcement learning until it performs well at those as well. The hope is that we will cover everything it might encounter later when we deploy it in real life. There exist at least 2 basic ways this approach falls apart: First, there will never be any guarantee that we’ll have covered every possible random thing it might encounter later when we deploy it in real life. It’s very likely it will have to deal with stuff outside its training set which it will not know how to handle and will throw it out of balance and break it away from its expected behavioural patterns. The cascade effect of such a broken mind operating in the open world can be immense, and with super-capable runaway rogue agents, self-replicating and recursively self-improving, the phenomenon could grow and spread to an extinction-level event. ...

Lethal Intelligence

535,291 görüntüleme • 1 yıl önce

This should be illegal The Beauty Authority is advertising real procedures and showing off real results for procedures in their magazine Only one problem, it’s all fake. Every image credit is an AI prompt they typed and to generate the image “Photo credit is an AI prompt — article is about beauty procedures. So why are we using fake women to talk about real women's bodies?” Believe it or not, this is legal There is no federal law prohibiting the use of AI-generated images in advertising or editorial content, as long as the overall ad isn’t materially deceptive But to me this is deceptive, the entire woman they’re advertising the procedure for is fake, it’s artificial intelligence generated. So how can you show real results if they’re generated down a prompt… This needs regulation
3:37

This should be illegal The Beauty Authority is advertising real procedures and showing off real results for procedures in their magazine Only one problem, it’s all fake. Every image credit is an AI prompt they typed and to generate the image “Photo credit is an AI prompt — article is about beauty procedures. So why are we using fake women to talk about real women's bodies?” Believe it or not, this is legal There is no federal law prohibiting the use of AI-generated images in advertising or editorial content, as long as the overall ad isn’t materially deceptive But to me this is deceptive, the entire woman they’re advertising the procedure for is fake, it’s artificial intelligence generated. So how can you show real results if they’re generated down a prompt… This needs regulation

Wall Street Apes

20,978 görüntüleme • 3 ay önce

One of the biggest things Tesla FSD has changed for my family is how we use road trip time. A lot of parents ask me how my kids spend so much time learning, reading, and asking questions, and why we don’t load up our summers with endless camps. The truth is, some of our best learnings happen right in my Tesla. While Tesla FSD handles 100% of the driving, our road trips become productive family time. We bring books, laptops, and our curiosity on our rides. My kids read, learn new things with Grok, research topics they’re interested in, play educational games, and ask questions about the world around them. With Starlink keeping us connected anywhere, the car becomes literally a mobile classroom. What’s funny is that my kids are growing up thinking this is normal. To them, learning with Daddy while traveling down the highway feels completely natural. Years ago, road trips were mostly about getting from Point A to Point B. Today, they’re an opportunity for our family to learn, create, explore ideas, and spend quality time together. The combination of Tesla FSD, Starlink, computers, books, and AI has completely changed how our family travels.
1:40

One of the biggest things Tesla FSD has changed for my family is how we use road trip time. A lot of parents ask me how my kids spend so much time learning, reading, and asking questions, and why we don’t load up our summers with endless camps. The truth is, some of our best learnings happen right in my Tesla. While Tesla FSD handles 100% of the driving, our road trips become productive family time. We bring books, laptops, and our curiosity on our rides. My kids read, learn new things with Grok, research topics they’re interested in, play educational games, and ask questions about the world around them. With Starlink keeping us connected anywhere, the car becomes literally a mobile classroom. What’s funny is that my kids are growing up thinking this is normal. To them, learning with Daddy while traveling down the highway feels completely natural. Years ago, road trips were mostly about getting from Point A to Point B. Today, they’re an opportunity for our family to learn, create, explore ideas, and spend quality time together. The combination of Tesla FSD, Starlink, computers, books, and AI has completely changed how our family travels.

Teslaconomics

41,168 görüntüleme • 2 ay önce

It’s going to be a complex and unpredictable and unprecedented era ahead for all of us business people and marketers - the ai 🤖 era is here and there will be many changes but what’s clear at least in the short term ..is that the most creative and most strategic will gain “market share” over time ai will eat up a lot of tasks and process we have valued, we will all have to adjust, we can’t fear it or try to justify why it “isn’t” we must get into our creative and strategic “bags” and learn how to use these tools to excelerate our seeds of “ideas” or “observations” there will also be so much opportunity in the counter to all this technology .. real life events, experiences will continue to explode in value and opportunity… who’s ready ?
0:44

It’s going to be a complex and unpredictable and unprecedented era ahead for all of us business people and marketers - the ai 🤖 era is here and there will be many changes but what’s clear at least in the short term ..is that the most creative and most strategic will gain “market share” over time ai will eat up a lot of tasks and process we have valued, we will all have to adjust, we can’t fear it or try to justify why it “isn’t” we must get into our creative and strategic “bags” and learn how to use these tools to excelerate our seeds of “ideas” or “observations” there will also be so much opportunity in the counter to all this technology .. real life events, experiences will continue to explode in value and opportunity… who’s ready ?

Gary Vaynerchuk

22,888 görüntüleme • 1 yıl önce

“We now find ourselves in a world where we understand how almost everything works, but we know the meaning of nothing.” That's not a religious argument. That's a scientific one. And this isn’t coming from someone who abandoned logic to find faith… Today’s guest is John Lennox, a mathematician who has spent 70 years interrogating faith with logic, science, philosophy, and evidence and somehow came out the other side more convinced., I sat down with John as I wanted a conversation not only around religion, but how AI is making every one of us ask religious-sized questions. We discussed things like: - Why artificial intelligence is still artificial - The difference between simulating intelligence and possessing consciousness - Human dignity in the age of AI and why it matters more, not less - Loneliness and why it makes us vulnerable to fake connection - The peace that most of us are actually searching for I didn’t feel like I was being pushed towards an answer. Instead I was being invited to think more honestly about the questions. You do not have to share his faith to learn from the way he thinks. For anyone asking what makes us human in a world of machines, this is a conversation I would really recommend.
1:29

“We now find ourselves in a world where we understand how almost everything works, but we know the meaning of nothing.” That's not a religious argument. That's a scientific one. And this isn’t coming from someone who abandoned logic to find faith… Today’s guest is John Lennox, a mathematician who has spent 70 years interrogating faith with logic, science, philosophy, and evidence and somehow came out the other side more convinced., I sat down with John as I wanted a conversation not only around religion, but how AI is making every one of us ask religious-sized questions. We discussed things like: - Why artificial intelligence is still artificial - The difference between simulating intelligence and possessing consciousness - Human dignity in the age of AI and why it matters more, not less - Loneliness and why it makes us vulnerable to fake connection - The peace that most of us are actually searching for I didn’t feel like I was being pushed towards an answer. Instead I was being invited to think more honestly about the questions. You do not have to share his faith to learn from the way he thinks. For anyone asking what makes us human in a world of machines, this is a conversation I would really recommend.

Steven Bartlett

18,580 görüntüleme • 3 ay önce

Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.
1:18

Jensen Huang said if he were a student today, he wouldn’t prioritize coding. He’d prioritize learning how to talk to AI. Most people treat AI like Google. Type a question, get an answer, move on. Huang sees it differently. He calls it “expertise in artistry,” which sounds dramatic but makes sense when you think about it. The real skill isn’t using AI. It’s knowing what to ask for and how to refine it. “Learning to interact with AI is not unlike being really good at asking questions.” If you’re a doctor, can you use AI to catch diagnoses you’d miss? If you’re a lawyer, can you sharpen arguments faster than your competition? The leverage comes from pairing what you know with how well you can direct the tool. Domain expertise multiplied by AI fluency equals amplification. Without the expertise, the AI is just noise. Without fluency, you’re leaving most of the capability on the table. The question isn’t whether AI will replace you. It’s whether someone who knows how to use it better will.

Dustin

787,629 görüntüleme • 6 ay önce

In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.
1:44

In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.

Sajith Wickramasekara

30,837 görüntüleme • 4 ay önce

An AI-based social media app is coming. Kristen Garcia Dumont (ex-Machine Zone CEO) has founded a new social media app called BeFake, to redefine social media. The app lets users snap fantasy versions of themselves using AI-generated images. More details: -It allows users to express creativity beyond just selfies by submitting text prompts to generate visuals. -CEO Kristen Garcia Dumont sees it as more authentic self-expression versus the pressure of real pictures. -The most creative faux identities gain traction in the app's community, with users able to share images from prompts and react to their favorites. The founder of BeFake is no joke, with some of the top-grossing mobile games globally under her belt. I'll be watching this app closely as it might play a pivotal role in the widespread integration of AI into social media. What do you think?
0:50

An AI-based social media app is coming. Kristen Garcia Dumont (ex-Machine Zone CEO) has founded a new social media app called BeFake, to redefine social media. The app lets users snap fantasy versions of themselves using AI-generated images. More details: -It allows users to express creativity beyond just selfies by submitting text prompts to generate visuals. -CEO Kristen Garcia Dumont sees it as more authentic self-expression versus the pressure of real pictures. -The most creative faux identities gain traction in the app's community, with users able to share images from prompts and react to their favorites. The founder of BeFake is no joke, with some of the top-grossing mobile games globally under her belt. I'll be watching this app closely as it might play a pivotal role in the widespread integration of AI into social media. What do you think?

Rowan Cheung

349,660 görüntüleme • 3 yıl önce

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.
0:21

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 görüntüleme • 4 ay önce

We started Varsity almost a decade ago to simplify how the stock market worked in English and Hindi for free. For people who preferred video, we turned all the modules into video. Today, Varsity is easily one of the most read and watched resources for all things financial markets. But until now it was self-directed—you had to read, watch, and then learn about things. We had always wanted to introduce an interactive mode of learning about markets, and we finally go around to launching Varsity Live in collaboration with LearnApp. These two-day programmes come with practice tech. You don't just listen to the class—you practice WITH the mentor. So you'd place a mock order, draw trendlines, and calculate your emergency funds using real data. So you learn by doing, not listening. We've reached 45k users from 100 countries—all organic. If you've always wanted to learn how the stock market works but never got around to it, sign up for the next session:
0:27

We started Varsity almost a decade ago to simplify how the stock market worked in English and Hindi for free. For people who preferred video, we turned all the modules into video. Today, Varsity is easily one of the most read and watched resources for all things financial markets. But until now it was self-directed—you had to read, watch, and then learn about things. We had always wanted to introduce an interactive mode of learning about markets, and we finally go around to launching Varsity Live in collaboration with LearnApp. These two-day programmes come with practice tech. You don't just listen to the class—you practice WITH the mentor. So you'd place a mock order, draw trendlines, and calculate your emergency funds using real data. So you learn by doing, not listening. We've reached 45k users from 100 countries—all organic. If you've always wanted to learn how the stock market works but never got around to it, sign up for the next session:

Nithin Kamath

160,455 görüntüleme • 2 yıl önce

Do you understand what's happening? It's not just "AI can make iOS apps" anymore. AI is eating up the entire software industry. Even Dario Amodei (founder of Claude) said 90% of all code in the world would be written by AI. In 20 minutes, I built this Duolingo for AI upskilling app with Superapp. The idea was simple - almost everyone today knows AI is the future, but most of them are still feeling left out. Their current jobs don't leave them with enough time to actually learn and build stuff with AI. There's AI dev, video making, animations, testing, etc. But no time or clear direction. So I built an app to fix exactly this. With AgentIQ, you get new lessons every day. Every time you learn something, it gets added to your skillset and automatically refreshes your portfolio. You level up with every new chapter/pathway. It is self-paced but gamified enough (like Duolingo) that you never get out of touch. Without spending hours or tonnes of money, you build stuff with n8n, openclaw, etc. You ship AI videos to market your own AI apps. This could be a proper ed-tech company if someone wants to continue building on top. Happy to share the entire source code with you if you wanna pursue it. Like + comment "AGENT" and I'll send you the app link, a comprehensive guide to build production-ready apps, and the entire source code for this.
1:12

Do you understand what's happening? It's not just "AI can make iOS apps" anymore. AI is eating up the entire software industry. Even Dario Amodei (founder of Claude) said 90% of all code in the world would be written by AI. In 20 minutes, I built this Duolingo for AI upskilling app with Superapp. The idea was simple - almost everyone today knows AI is the future, but most of them are still feeling left out. Their current jobs don't leave them with enough time to actually learn and build stuff with AI. There's AI dev, video making, animations, testing, etc. But no time or clear direction. So I built an app to fix exactly this. With AgentIQ, you get new lessons every day. Every time you learn something, it gets added to your skillset and automatically refreshes your portfolio. You level up with every new chapter/pathway. It is self-paced but gamified enough (like Duolingo) that you never get out of touch. Without spending hours or tonnes of money, you build stuff with n8n, openclaw, etc. You ship AI videos to market your own AI apps. This could be a proper ed-tech company if someone wants to continue building on top. Happy to share the entire source code with you if you wanna pursue it. Like + comment "AGENT" and I'll send you the app link, a comprehensive guide to build production-ready apps, and the entire source code for this.

Kritarth Mittal | Soshals

25,527 görüntüleme • 5 ay önce