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Every Monday, JG Yaps - Founder Series. Part 3 Yall Crashed The Website, Everything Sold Out!!! #johngeiger #misplacedseries #johngeigerco John Geigers Overlapping “Misplaced” Design Language

John Geiger

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What used to take a team of 4 three weeks to pull off and cost over $15,000 is now possible for less then $3. These unknown team from the UK solved this and it’s finally out to the public. The major problem with creating design visuals with normal AI prompts; was that after every iteration; it starts to change a part of the design, the brand icons starts to change, the ratio changes, the logo starts to flips if it’s not horizontal. It’s hard to keep things consistent, that’s why so many design studios can’t use AI for designs. And these folks finally solved that, and totally crashed the market. Now vibe coders, companies and startups can cut down brand asset designs costs by over 99% and still retain consistency. Interesting time we live in.

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32,227 Aufrufe • vor 5 Monaten

Perplexity CEO told Joe Rogan that Microsoft created office work. The dates say otherwise. To be fair to him, half of it is true. Gates really did want a PC on every desk, and Microsoft did make Word and Excel the default tools that almost every office job trains you on. That part is real strategy, and it worked. The history is where it falls apart. Office work didn't start with Microsoft. Purpose-built offices go back to the 1700s, and office jobs boomed in the late 1800s. In the US, clerical work climbed for most of the 20th century and peaked in 1980. Word shipped in 1983. Excel was shipped in 1985. So the lifestyle hit its high point before the software everyone blames for it existed. Microsoft didn't build the wave. It sold the surfboards once the wave was already a century deep. When a founder narrates history, and their own product turns out to be the hero, check the dates. The story flatters the product by design.

Perplexity CEO told Joe Rogan that Microsoft created office work. The dates say otherwise. To be fair to him, half of it is true. Gates really did want a PC on every desk, and Microsoft did make Word and Excel the default tools that almost every office job trains you on. That part is real strategy, and it worked. The history is where it falls apart. Office work didn't start with Microsoft. Purpose-built offices go back to the 1700s, and office jobs boomed in the late 1800s. In the US, clerical work climbed for most of the 20th century and peaked in 1980. Word shipped in 1983. Excel was shipped in 1985. So the lifestyle hit its high point before the software everyone blames for it existed. Microsoft didn't build the wave. It sold the surfboards once the wave was already a century deep. When a founder narrates history, and their own product turns out to be the hero, check the dates. The story flatters the product by design.

Alex Prompter

31,371 Aufrufe • vor 2 Monaten

Anthropic just changed how they think about Claude 5. Not with a new model. Not with a benchmark. With a completely different philosophy for building AI systems. Most people will miss it. They're still trying to write better prompts. Anthropic is optimizing something else entirely: Context. Here's what every AI builder should learn from it: 1. Stop telling AI exactly what to do. Start telling it what success looks like. Older models needed rigid instructions. Newer models perform better when you define the objective and let them make the decisions. The goal is no longer more control. It's more clarity. 2. Context is a budget, not a storage unit. Every extra sentence competes for the model's attention. A massive context file doesn't make AI smarter. It often makes reasoning worse. The best systems don't load everything. They load only what's relevant. 3. Great tools beat great prompts. Most people spend hours tweaking prompt wording. Anthropic is investing in better interfaces instead. Clear parameters. Structured inputs. Well-designed tools. If the interface removes ambiguity, the model makes better decisions before it even starts reasoning. 4. Show reality instead of describing it. Want a specific coding style? Provide the codebase. Want a certain design language? Share the mockup. Want consistent outputs? Give it tests to satisfy. Concrete references consistently outperform long written instructions. 5. Deliver information when it's needed. Not everything belongs in the initial context. Documentation. Style guides. Verification. Reviews. Load them only when they're relevant. Think of context like RAM, not a hard drive. 6. The real advantage is system design. Prompt engineering isn't disappearing. It's becoming one small part of a much bigger stack. Memory. Retrieval. Context architecture. Tool design. Evaluation. Every improvement compounds. The biggest takeaway from Anthropic's update? The next generation of AI won't be won by the people writing the longest prompts. It'll be won by the people building the smartest systems. Same models. Completely different results.

Anthropic just changed how they think about Claude 5. Not with a new model. Not with a benchmark. With a completely different philosophy for building AI systems. Most people will miss it. They're still trying to write better prompts. Anthropic is optimizing something else entirely: Context. Here's what every AI builder should learn from it: 1. Stop telling AI exactly what to do. Start telling it what success looks like. Older models needed rigid instructions. Newer models perform better when you define the objective and let them make the decisions. The goal is no longer more control. It's more clarity. 2. Context is a budget, not a storage unit. Every extra sentence competes for the model's attention. A massive context file doesn't make AI smarter. It often makes reasoning worse. The best systems don't load everything. They load only what's relevant. 3. Great tools beat great prompts. Most people spend hours tweaking prompt wording. Anthropic is investing in better interfaces instead. Clear parameters. Structured inputs. Well-designed tools. If the interface removes ambiguity, the model makes better decisions before it even starts reasoning. 4. Show reality instead of describing it. Want a specific coding style? Provide the codebase. Want a certain design language? Share the mockup. Want consistent outputs? Give it tests to satisfy. Concrete references consistently outperform long written instructions. 5. Deliver information when it's needed. Not everything belongs in the initial context. Documentation. Style guides. Verification. Reviews. Load them only when they're relevant. Think of context like RAM, not a hard drive. 6. The real advantage is system design. Prompt engineering isn't disappearing. It's becoming one small part of a much bigger stack. Memory. Retrieval. Context architecture. Tool design. Evaluation. Every improvement compounds. The biggest takeaway from Anthropic's update? The next generation of AI won't be won by the people writing the longest prompts. It'll be won by the people building the smartest systems. Same models. Completely different results.

Evan Luthra

38,751 Aufrufe • vor 1 Monat

consistency ≠ uniformity: for those who haven't lived through this era – we used to have beautiful, precision interfaces. now they're replaced by a design language that originated from the Apple Watch, with icons that only fit in squircles. but that's not even the point. the point is we used to design the whole stack – the technology, the concepts, the interfaces. when designers only care about superficial consistency, platforms lose their uniqueness. apple used to design systems. skeuomorphism wasn't just about leather textures – it was about teaching people new mental models. the trash can empties because you understand what a trash can does. aqua's lickable buttons and sheets had depth because the OS had layers you could understand. the old apple designed the whole stack – from metal to pixels to concepts. teams weren't just shipping features in the same box, they were building coherent platforms each with opinions about what computing should feel like for the medium. liquid glass is fine on a phone. but on macOS it's unusable – lack of precision, visual noise everywhere. this is what happens when UI language designed for fingers bleed into macOS. we went from interfaces designed for a 27" cinema display with a precise cursor to interfaces designed for a 1.5" screen you tap with one finger. the Mac is for creation and precision work. it needs information density. it needs chrome you can grab. it needs UI that gets out of your way but gives you power when you need it. instead we got padding and whitespace and translucent blurs optimized for touch targets nobody's touching. the squircle icon mandate is a symptom. when you force every icon into the same shape, you're saying "brand consistency" matters more than "each app icon needs to communicate its function instantly." we traded clarity for uniformity. we traded precise design for cross-platform sameness. consistency means your system has coherent rules within itself. uniformity means everything looks the same regardless of context. the hardware team still gets it – that macbook pro + M-series chips, chef's kiss. but software design feels like it's chasing fat fingers instead of remembering what people do on a Mac.

Ryo Lu

717,779 Aufrufe • vor 9 Monaten

Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds 2) Money pours in 3) The technology fails to deliver 4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't takeoff. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what really different about this time. AI has made four breakthroughs back to back. 1) Language models 2) Reasoning 3) Coding agents 4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia chips are gaining value instead of depreciating. And this has literally never happened in computing before. Every GPU is sold out for the next 3-4 years. He calls betting against this "essentially suicidal" and "an invitation to get your face ripped off." He calls it "an 80-year overnight success." Researchers worked their entire lives on this, and many passed away without seeing it work. Now it is all arriving at once. — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

Marc Andreessen says the four most dangerous words in investing are "this time is different." But this time it's actually different. He's referring to the AI boom when he mentioned this. For 80 years, the industry has followed the same pattern. 1) Excitement builds 2) Money pours in 3) The technology fails to deliver 4) The industry collapses. Here are 4 examples of when this happened in AI: • In 1943, the original neural network paper was written. It proved that simple mathematical models of brain cells could perform any logical computation. It was a foundational breakthrough but didn't takeoff. • In 1955, scientists got a grant to spend 10 weeks at Dartmouth and believed they could achieve AGI by the end of the summer. They did not. • In the 1980s, corporations poured over a billion dollars into "expert systems," AI programs designed to replicate the decision-making of human specialists in medicine, finance, and engineering. By 1987, this entire market crashed. • In 2016-17, machine learning hype surged again. It faded quickly. Each time, the technology underdelivered and the money dried up. But here's what really different about this time. AI has made four breakthroughs back to back. 1) Language models 2) Reasoning 3) Coding agents 4) Self-improvement And ALL are generating revenue in production right now. That's why old Nvidia chips are gaining value instead of depreciating. And this has literally never happened in computing before. Every GPU is sold out for the next 3-4 years. He calls betting against this "essentially suicidal" and "an invitation to get your face ripped off." He calls it "an 80-year overnight success." Researchers worked their entire lives on this, and many passed away without seeing it work. Now it is all arriving at once. — Marc Andreessen (Marc Andreessen 🇺🇸), co-founder at a16z (a16z) on the Latent Space podcast (Latent.Space)

GeniusThinking

51,298 Aufrufe • vor 5 Monaten

Epic Gardening founder Kevin → Plant Daddy explains how selling raised garden beds kicked off the process that took his media business from $250K to $7.1M in under 3 years: “The beauty of having content is that you kind of get a pre-validation engine for what you might want to put out there. There was this raised bed I had — a metal garden bed that had been sent to me — and I was like, this is the thing I get asked the most about, so I’ll figure out how to sell it." "I didn’t even know who gave it to me initially, so I tracked down the manufacturer. It was an Australian company, and I just kept emailing them every quarter. I was like, can I sell this? Can I sell this? They said no, no, no, no, no. They eventually said yes. I think I had $70K in the business bank account. I spent $40K on a shipping container." "I made an Instagram Story, and said, hey, all these beds you guys keep asking about are here now. I have 550 of them. They sold out in two days. I used that cash to buy another container. Sold that out in two days. So by the end of the year, I think we did a quarter mil just on that. So the business doubled." "And then, of course, setting that up before the global pandemic was insane. So we went from $500K to like $2.8M to $7.1M the next year, and then raised a Series A." "But yeah, I mean, immediately I was like, oh, this is obviously the actual revenue driver behind this business."

Epic Gardening founder Kevin → Plant Daddy explains how selling raised garden beds kicked off the process that took his media business from $250K to $7.1M in under 3 years: “The beauty of having content is that you kind of get a pre-validation engine for what you might want to put out there. There was this raised bed I had — a metal garden bed that had been sent to me — and I was like, this is the thing I get asked the most about, so I’ll figure out how to sell it." "I didn’t even know who gave it to me initially, so I tracked down the manufacturer. It was an Australian company, and I just kept emailing them every quarter. I was like, can I sell this? Can I sell this? They said no, no, no, no, no. They eventually said yes. I think I had $70K in the business bank account. I spent $40K on a shipping container." "I made an Instagram Story, and said, hey, all these beds you guys keep asking about are here now. I have 550 of them. They sold out in two days. I used that cash to buy another container. Sold that out in two days. So by the end of the year, I think we did a quarter mil just on that. So the business doubled." "And then, of course, setting that up before the global pandemic was insane. So we went from $500K to like $2.8M to $7.1M the next year, and then raised a Series A." "But yeah, I mean, immediately I was like, oh, this is obviously the actual revenue driver behind this business."

TBPN

45,614 Aufrufe • vor 5 Monaten

New episode: "How Elon Works" This episode covers the insanely valuable company-building principles of Elon Musk A few notes from the episode: 1. The mission comes first. 2. Retreat is not an option. 3. A maniacal sense of urgency is our operating principle. 4. Product design should be driven by engineers. 5. You should not separate engineering from product design. 6. Having separate design and production departments is bullshit. Keep everything together and feedback immediate. 7. The leader should be on the front lines. You should be a battlefield general. 8. "If they see the general out on the battlefield, the troops are going to be motivated. Wherever Napoleon was, that's where his armies would do best." 9. Apply The Algorithm constantly. (1) Question every requirement. (2) Delete any part of the process you can. (3) Simplify and optimize. (4) Accelerate cycle time. (5) Automate. 10. Repetition is persuasive. "I became a broken record on the algorithm. I think it's helpful to say it to an annoying degree." 11. You should go ultra-hardcore on deletion and simplification. 12. Camaraderie is dangerous. It makes it hard for people to challenge each other’s work. (Refer to point #1) 13. Never ask your troops to do something you wouldn’t do. 14. Hire for attitude. Skills can be taught. Attitude changes require a brain transplant. 15. Good attitude = A desire to work maniacally hard. 16. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation. 17. Keep your entire company committed to a common goal. 18. If things aren’t going well, throw away the existing design, start from first principles, question every requirement based on fundamental physics. 19. Find the limit. You want to delete as much as possible and you can’t do that unless you find the limit. 20. If you aren’t adding back at least 10% of the things you deleted, then you didn’t delete enough. 21. Maintain control. Avoid joint ventures. Eliminate middlemen. 22. Have a relentless dedication to questioning every requirement. 23. No work about work, just work. 24. Go to the problem. Get on the plane. Fly to the source. Go to the exact location in the factory. Go to the problem and stay there until it's resolved. 25. The best part is no part. 26. Be wired for war. 27. Do not fear losing. It hurts the first 50 times but then you’ll be able to play with less emotion. You will take more risks. 28. Stay heads down focused on doing useful things for civilization. 29. When something is important and has to be done quickly, have meetings every 24 hours to run the algorithm and check on the previous days progress. You'll be shocked at how fast this speeds things up. 30. Life needs to be interesting and edgy. 31. Delete, delete, delete, delete. There are 100 more ideas in the episode. I hope you listen to it. 30 years of Elon’s career + 60 hours of reading and research and me just absolutely ripping through idea after idea at 2x speed for 90 minutes. It will be hard to find a better use of time.

New episode: "How Elon Works" This episode covers the insanely valuable company-building principles of Elon Musk A few notes from the episode: 1. The mission comes first. 2. Retreat is not an option. 3. A maniacal sense of urgency is our operating principle. 4. Product design should be driven by engineers. 5. You should not separate engineering from product design. 6. Having separate design and production departments is bullshit. Keep everything together and feedback immediate. 7. The leader should be on the front lines. You should be a battlefield general. 8. "If they see the general out on the battlefield, the troops are going to be motivated. Wherever Napoleon was, that's where his armies would do best." 9. Apply The Algorithm constantly. (1) Question every requirement. (2) Delete any part of the process you can. (3) Simplify and optimize. (4) Accelerate cycle time. (5) Automate. 10. Repetition is persuasive. "I became a broken record on the algorithm. I think it's helpful to say it to an annoying degree." 11. You should go ultra-hardcore on deletion and simplification. 12. Camaraderie is dangerous. It makes it hard for people to challenge each other’s work. (Refer to point #1) 13. Never ask your troops to do something you wouldn’t do. 14. Hire for attitude. Skills can be taught. Attitude changes require a brain transplant. 15. Good attitude = A desire to work maniacally hard. 16. The only rules are the ones dictated by the laws of physics. Everything else is a recommendation. 17. Keep your entire company committed to a common goal. 18. If things aren’t going well, throw away the existing design, start from first principles, question every requirement based on fundamental physics. 19. Find the limit. You want to delete as much as possible and you can’t do that unless you find the limit. 20. If you aren’t adding back at least 10% of the things you deleted, then you didn’t delete enough. 21. Maintain control. Avoid joint ventures. Eliminate middlemen. 22. Have a relentless dedication to questioning every requirement. 23. No work about work, just work. 24. Go to the problem. Get on the plane. Fly to the source. Go to the exact location in the factory. Go to the problem and stay there until it's resolved. 25. The best part is no part. 26. Be wired for war. 27. Do not fear losing. It hurts the first 50 times but then you’ll be able to play with less emotion. You will take more risks. 28. Stay heads down focused on doing useful things for civilization. 29. When something is important and has to be done quickly, have meetings every 24 hours to run the algorithm and check on the previous days progress. You'll be shocked at how fast this speeds things up. 30. Life needs to be interesting and edgy. 31. Delete, delete, delete, delete. There are 100 more ideas in the episode. I hope you listen to it. 30 years of Elon’s career + 60 hours of reading and research and me just absolutely ripping through idea after idea at 2x speed for 90 minutes. It will be hard to find a better use of time.

David Senra

3,751,817 Aufrufe • vor 1 Jahr

Lucas Crespo (Lucas Crespo 📧 ) is the mastermind behind Every 📧 's visual vibe—and he does it one prompt at a time. As our creative lead, Lucas uses tools like native image gen in ChatGPT and Midjourney to generate the cover images you see every day. He also designs the interfaces for our products—Cora, Spiral, and Sparkle—and makes everything on our site feel as thoughtful and delightful as possible. We get into: - Why Every’s aesthetic feels familiar and new at the same time. Every’s aesthetic plays with the tension between the old (like Greek statues and Baroque symbols) and the new (like saturated colors and modern motifs) to make the glamor of the past feel fresh. - Art direction matters more than ever today. As AI makes it easier to generate images, Lucas says the real work of design is shifting toward art direction, specifically, curating an aesthetic that feels “organic;” on his X timeline that’s showing up as clouds, earthy landscapes, and textures. - Reimagining what a website can be with AI. Lucas compares most websites to identical buildings—predictable, efficient, and forgettable—and wonders how AI can help us break that mold by designing experiences that prioritize serendipity over speed, and curiosity over control. - Behind the scenes of Cora’s visual aesthetic. How Lucas designed the landing page and launch video for Cora by rooting it in the product’s philosophy: turning the inbox from a source of chaos into something that feels calm, thoughtful—like stepping into spring. - The future of internet interfaces. Lucas believes the future of digital interfaces will be curated with the same care as a film set or ad campaign, where every detail is chosen with intention. Lucas also walks us through how he created the headline image for Every’s consulting page—a human and robotic hand fist-bumping—using Midjourney to iterate from rough prompt to polished visual. This is a must watch for anyone interested in the future of design and making the internet a little more beautiful every day. Watch below! Timestamps: 1. Introduction: 00:01:41 2. How AI changed the course of Lucas’s career: 00:04:02 3. Why Every’s aesthetic feels both familiar and fresh: 00:11:38 4. Why Lucas thinks minimalism is overrated: 00:16:19 5. Art direction matters more than ever in the age of AI: 00:22:01 6. How to reimagine what a website can be with AI: 00:25:06 7. Lucas’s process in Midjourney to generate cover images: 00:33:41 8. Midjourney v. image generation in ChatGPT: 00:43:01 9. Behind the scenes of Cora’s design language: 00:49:43 10. How AI is rewriting the role of a designer: 00:59:57

Lucas Crespo (Lucas Crespo 📧 ) is the mastermind behind Every 📧 's visual vibe—and he does it one prompt at a time. As our creative lead, Lucas uses tools like native image gen in ChatGPT and Midjourney to generate the cover images you see every day. He also designs the interfaces for our products—Cora, Spiral, and Sparkle—and makes everything on our site feel as thoughtful and delightful as possible. We get into: - Why Every’s aesthetic feels familiar and new at the same time. Every’s aesthetic plays with the tension between the old (like Greek statues and Baroque symbols) and the new (like saturated colors and modern motifs) to make the glamor of the past feel fresh. - Art direction matters more than ever today. As AI makes it easier to generate images, Lucas says the real work of design is shifting toward art direction, specifically, curating an aesthetic that feels “organic;” on his X timeline that’s showing up as clouds, earthy landscapes, and textures. - Reimagining what a website can be with AI. Lucas compares most websites to identical buildings—predictable, efficient, and forgettable—and wonders how AI can help us break that mold by designing experiences that prioritize serendipity over speed, and curiosity over control. - Behind the scenes of Cora’s visual aesthetic. How Lucas designed the landing page and launch video for Cora by rooting it in the product’s philosophy: turning the inbox from a source of chaos into something that feels calm, thoughtful—like stepping into spring. - The future of internet interfaces. Lucas believes the future of digital interfaces will be curated with the same care as a film set or ad campaign, where every detail is chosen with intention. Lucas also walks us through how he created the headline image for Every’s consulting page—a human and robotic hand fist-bumping—using Midjourney to iterate from rough prompt to polished visual. This is a must watch for anyone interested in the future of design and making the internet a little more beautiful every day. Watch below! Timestamps: 1. Introduction: 00:01:41 2. How AI changed the course of Lucas’s career: 00:04:02 3. Why Every’s aesthetic feels both familiar and fresh: 00:11:38 4. Why Lucas thinks minimalism is overrated: 00:16:19 5. Art direction matters more than ever in the age of AI: 00:22:01 6. How to reimagine what a website can be with AI: 00:25:06 7. Lucas’s process in Midjourney to generate cover images: 00:33:41 8. Midjourney v. image generation in ChatGPT: 00:43:01 9. Behind the scenes of Cora’s design language: 00:49:43 10. How AI is rewriting the role of a designer: 00:59:57

Dan Shipper 📧

16,038 Aufrufe • vor 1 Jahr

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

Tigerflow

74,298 Aufrufe • vor 1 Monat

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

WARP SPEED: EPISODE 5 - starring Varunram Ganesh, Founder of Lapis Varunram Ganesh The next generation of 20 year olds are going to default to LLMs for search. Varun is building Lapis into the most accurate AI search analytics platform. They are part of Y Combinator F25 - 1 day away from demo day with a countdown clock on his desk. The insight: people are already defaulting to ChatGPT over Google. As time goes on, more leveraged decisions get made through LLMs, not search engines. "So many people are searching on Google, they're going to be searching on ChatGPT. Why aren't people knowing where they are on ChatGPT?" Lapis tells you exactly what a human will search for your website to show up in AI. And unlike Google, it's not about ranking positions - LLMs reason differently. On Warp: "I don't even think about payroll. Which is just to say Warp is such a good product that I just don't think about it. No spam emails. No upsells. It's just so smooth." In this conversation: (0:00) - Shift from Google-style search to LLMs: “More leveraged decisions are now made through the LLM.” (0:15) - What Lapis does: the most accurate AI search analytics platform. (1:15) - YC intensity: six weeks from Demo Day, rapid feedback loops, constant customer conversations. (2:00) - “The hardest part of running a startup is the most boring stuff.” (2:41) - How AI search differs from Google search. (3:23) - Building a company through trust. (3:51) - “Every founder said, ‘Check out Gabriella Warp - a genuinely friendly solution. (4:02) - Big providers needed six weeks just to get set up. (4:20) - Texted Ayush and got set up in 15 minutes. (4:25) - Warp is so smooth you don’t think about payroll — no spam emails, no upsells, just seamless.

Ayush S

57,591 Aufrufe • vor 9 Monaten

I’m very excited to announce AI Autocomplete AI Autocomplete is a breakthrough patented technology that supercharges natural language input = Unlocking 10x faster search and commerce, advertising, and powerful augmented reality. Available for use as an SDK. This solves a fundamental problem of today’s chat interfaces – They are good at single step request, but any multi-step action (like booking a flight or purchasing goods) quickly becomes a back and forth 'game of 10 questions'. While working on our own assistant, we realized the core driver of this problem is a human one: People don’t know everything they need to say upfront, for every action you could do on the internet. And to solve it, we would need to think about how to marry design and technology in a new way. AI Autocomplete solves this, and can now plug into chat interfaces to guide you in real-time, with everything you would need to say, upfront. So you can do anything you can do on the internet in one shot. No more back and forth. As a result, this unlocks multiple AI breakthroughs: 1. 10x faster search and commerce 2. Smarter (and far lower cost) media generation 3. Natural language advertising 4. Powerful, lightweight Augmented Reality From here, we’ll be using this for Hero, but we also want others to use it too since this is an industry-wide problem. So if you have a product that could benefit from AI Autocomplete and want to work with us, reach out below! Shoutout to Seung W. Lee who helped think of and patent this nearly 3 years ago! And shoutout to the entire Hero Assistant team that keeps innovating on the next generation of AI products

I’m very excited to announce AI Autocomplete AI Autocomplete is a breakthrough patented technology that supercharges natural language input = Unlocking 10x faster search and commerce, advertising, and powerful augmented reality. Available for use as an SDK. This solves a fundamental problem of today’s chat interfaces – They are good at single step request, but any multi-step action (like booking a flight or purchasing goods) quickly becomes a back and forth 'game of 10 questions'. While working on our own assistant, we realized the core driver of this problem is a human one: People don’t know everything they need to say upfront, for every action you could do on the internet. And to solve it, we would need to think about how to marry design and technology in a new way. AI Autocomplete solves this, and can now plug into chat interfaces to guide you in real-time, with everything you would need to say, upfront. So you can do anything you can do on the internet in one shot. No more back and forth. As a result, this unlocks multiple AI breakthroughs: 1. 10x faster search and commerce 2. Smarter (and far lower cost) media generation 3. Natural language advertising 4. Powerful, lightweight Augmented Reality From here, we’ll be using this for Hero, but we also want others to use it too since this is an industry-wide problem. So if you have a product that could benefit from AI Autocomplete and want to work with us, reach out below! Shoutout to Seung W. Lee who helped think of and patent this nearly 3 years ago! And shoutout to the entire Hero Assistant team that keeps innovating on the next generation of AI products

brad

303,959 Aufrufe • vor 10 Monaten

Our modern school system removed the leisure, and much of the pleasure, out of learning. The word "school" comes from the Greek word schole. It means leisure. Sir Ken Robinson spent his life studying creativity in schools and concluded that instead of fueling creativity through play, schools can actually kill it: "We have sold ourselves into a fast-food model of education, and it's impoverishing our spirit and our energies as much as fast food is depleting our physical bodies. Imagination is the source of every form of human achievement. And it's the one thing that I believe we are systematically jeopardizing in the way we educate our children and ourselves." Then we enter the workplace and it gets worse. Modern corporations were born out of the same Industrial Revolution. Their entire reason for being was efficiency in mass production. They looked to the military for inspiration. The language stuck — employees on the front lines, working for a company (a military unit). The industrial era is long behind us. Those structures are not. We grow up believing play is trivial, a waste of time, and unnecessary. Stuart Brown, founder of the National Institute for Play, studied the play histories of 6,000 individuals and found that play has the power to improve everything from personal health to relationships to an organization's ability to innovate. His conclusion: "Nothing fires up the brain like play." Key breakthroughs in thinking have almost always taken place during play. -Isaac Newton. -Watson and Crick. -Shakespeare. -Mozart. -Einstein. The Nonessentialist thinks play is trivial. The Essentialist knows play sparks exploration. You weren't taught to play as a child. You picked it up naturally. Maybe it's time to pick it up again.

Our modern school system removed the leisure, and much of the pleasure, out of learning. The word "school" comes from the Greek word schole. It means leisure. Sir Ken Robinson spent his life studying creativity in schools and concluded that instead of fueling creativity through play, schools can actually kill it: "We have sold ourselves into a fast-food model of education, and it's impoverishing our spirit and our energies as much as fast food is depleting our physical bodies. Imagination is the source of every form of human achievement. And it's the one thing that I believe we are systematically jeopardizing in the way we educate our children and ourselves." Then we enter the workplace and it gets worse. Modern corporations were born out of the same Industrial Revolution. Their entire reason for being was efficiency in mass production. They looked to the military for inspiration. The language stuck — employees on the front lines, working for a company (a military unit). The industrial era is long behind us. Those structures are not. We grow up believing play is trivial, a waste of time, and unnecessary. Stuart Brown, founder of the National Institute for Play, studied the play histories of 6,000 individuals and found that play has the power to improve everything from personal health to relationships to an organization's ability to innovate. His conclusion: "Nothing fires up the brain like play." Key breakthroughs in thinking have almost always taken place during play. -Isaac Newton. -Watson and Crick. -Shakespeare. -Mozart. -Einstein. The Nonessentialist thinks play is trivial. The Essentialist knows play sparks exploration. You weren't taught to play as a child. You picked it up naturally. Maybe it's time to pick it up again.

Greg McKeown

17,060 Aufrufe • vor 4 Monaten

Bestselling novelist David Baldacci on how AI companies deliberately stole every book and academic paper published in the last 70 years: Baldacci is a named plaintiff in a lawsuit against OpenAI and Microsoft in the Southern District of New York, alongside John Grisham, Scott Turow, George R.R. Martin, Jodi Picoult, and Jonathan Franzen. They're also representing roughly 60,000 unnamed plaintiffs. He explains how AI companies arrived at novels as the key ingredient for building superintelligence: "The AI community searched the world. How do you create superintelligence? They tried everything to try to figure out, how do you do this? They fed dictionaries into it. They did lots of stuff. They finally found the only way to create super intelligence that they needed was to feed novels into the large language models. Novels worked, finished products of storytelling with characters and dialogue and research and events and interactions. That was their Holy Grail moment." Baldacci points out the obvious path the AI companies could have taken —negotiating with the five major publishers, each of whom represents around 100,000 writers. Instead, they chose theft. David Baldacci continues: "They decided we're just going to steal them. I'm not saying anything out of school. They've admitted this. They got most of the books from a Russian pirate website where they would go and download the books from there. And they didn't even want their software programs to know they were stealing the books. So they had the software program that would scrape off the copyright page, scrape off the ISBN number on the back, and just download the book itself." The scale is staggering. Over the last eight or nine years, every book and every academic paper published in the last 70 years worldwide has been ingested into the large language models at Anthropic, OpenAI, and Meta. Baldacci testified about this on Capitol Hill in July. He describes the personal toll of being a named plaintiff: "I've had to give them all of my materials, all of my financial information I've had to give them, let them come in and do a complete scrape on all of my emails, all of my communications. I sat through a nine hour deposition like I've done something wrong. They said, yeah, we've taken your books, we haven't paid you a dime and we didn't ask your permission, but we should be entitled to do it because AI is so cool. That's basically their legal argument." The parallel case against Anthropic in California has already settled for $1.5 billion, to be paid out over two years to 50,000 writers. The OpenAI and Microsoft case is now past discovery and heading toward a settlement conference.

Bestselling novelist David Baldacci on how AI companies deliberately stole every book and academic paper published in the last 70 years: Baldacci is a named plaintiff in a lawsuit against OpenAI and Microsoft in the Southern District of New York, alongside John Grisham, Scott Turow, George R.R. Martin, Jodi Picoult, and Jonathan Franzen. They're also representing roughly 60,000 unnamed plaintiffs. He explains how AI companies arrived at novels as the key ingredient for building superintelligence: "The AI community searched the world. How do you create superintelligence? They tried everything to try to figure out, how do you do this? They fed dictionaries into it. They did lots of stuff. They finally found the only way to create super intelligence that they needed was to feed novels into the large language models. Novels worked, finished products of storytelling with characters and dialogue and research and events and interactions. That was their Holy Grail moment." Baldacci points out the obvious path the AI companies could have taken —negotiating with the five major publishers, each of whom represents around 100,000 writers. Instead, they chose theft. David Baldacci continues: "They decided we're just going to steal them. I'm not saying anything out of school. They've admitted this. They got most of the books from a Russian pirate website where they would go and download the books from there. And they didn't even want their software programs to know they were stealing the books. So they had the software program that would scrape off the copyright page, scrape off the ISBN number on the back, and just download the book itself." The scale is staggering. Over the last eight or nine years, every book and every academic paper published in the last 70 years worldwide has been ingested into the large language models at Anthropic, OpenAI, and Meta. Baldacci testified about this on Capitol Hill in July. He describes the personal toll of being a named plaintiff: "I've had to give them all of my materials, all of my financial information I've had to give them, let them come in and do a complete scrape on all of my emails, all of my communications. I sat through a nine hour deposition like I've done something wrong. They said, yeah, we've taken your books, we haven't paid you a dime and we didn't ask your permission, but we should be entitled to do it because AI is so cool. That's basically their legal argument." The parallel case against Anthropic in California has already settled for $1.5 billion, to be paid out over two years to 50,000 writers. The OpenAI and Microsoft case is now past discovery and heading toward a settlement conference.

Big Brain AI

29,135 Aufrufe • vor 3 Monaten

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.

Ricardo

594,643 Aufrufe • vor 7 Monaten

Brian Chesky gave the perfect 10 minute hero's journey story a few weeks ago at Config. Founders and CEOs are always looking for great examples of storytelling, speaking, and leadership. This right here is as good as it gets. Why did it work so well? To start with it's 9 minutes and 49 seconds. That's a length that people are familiar and comfortable with as evidenced by Ted Talks ranging from around 10-18 minutes. From there he structured it using the Hero's Journey framework from Joseph Campbell. Ordinary world-call to adventure-mentors-death and rebirth-gifts-return changed. I'm going to do another post soon mapping this all out for you. Today I want to go deeper into other parts of the storytelling that he nailed. To begin with what you'll see is he immediately takes you right into the action. He starts with "Back in 2019" and then transports you even further back in time with "Back to Rhode Island School of Design". This puts you directly in the story. You're seeing it happen. It's a bit like Back to the Future. From there he immediately goes into the Origin Story. The AirBnB origin story is a key part of the larger ongoing story. So he starts there. Chesky knows he needs to set the frame that the audience will analyze the story through so he does what many great speakers do... He uses a rhetorical question. "What if design ran the boardroom?" Boom. That's the big idea. That's the theme of the rest of the talk. From there he gives a bit of a nod to Nancy Duarte's classic framework of What is versus What could be. This is done by putting forth two different worlds that AirBnB (and other companies) can live in. Option 1: Dream world. This world is creative and embraces risk. Option 2: Reality world. This world is corporate and clinical. What he does next speaks to every founder and CEO. He calls out what prevents him from living in the dream world and it's one word. Fear. So as he goes through the story he gets to the moment of transformation. 2020 changed everything. He uses a metaphor to show this near death experience for the company. Not only that but he uses a classic story device of having a dream and seeing the better way forward. It's also a bit of a reference to The Matrix. "I woke up from a 10 yr slumber". And it's there that the mentors give him this lift. Hiroki Asai and Johnny Ives put Chesky back on the path he first set out on. Design led company. The results took AirBnB from breakeven to 4 billion dollars in Free Cash Flow. Now that's one powerful transformation. Transformation is one of the things great stories embrace. To show other people that it's possible. His final takeaway brings everything home. Companies need both the head and the heart. It's a subtle nod to that first big question he asked to set the frame. What would it look like if design ran the boardroom? A company with both head and heart to build something magical.

Brian Chesky gave the perfect 10 minute hero's journey story a few weeks ago at Config. Founders and CEOs are always looking for great examples of storytelling, speaking, and leadership. This right here is as good as it gets. Why did it work so well? To start with it's 9 minutes and 49 seconds. That's a length that people are familiar and comfortable with as evidenced by Ted Talks ranging from around 10-18 minutes. From there he structured it using the Hero's Journey framework from Joseph Campbell. Ordinary world-call to adventure-mentors-death and rebirth-gifts-return changed. I'm going to do another post soon mapping this all out for you. Today I want to go deeper into other parts of the storytelling that he nailed. To begin with what you'll see is he immediately takes you right into the action. He starts with "Back in 2019" and then transports you even further back in time with "Back to Rhode Island School of Design". This puts you directly in the story. You're seeing it happen. It's a bit like Back to the Future. From there he immediately goes into the Origin Story. The AirBnB origin story is a key part of the larger ongoing story. So he starts there. Chesky knows he needs to set the frame that the audience will analyze the story through so he does what many great speakers do... He uses a rhetorical question. "What if design ran the boardroom?" Boom. That's the big idea. That's the theme of the rest of the talk. From there he gives a bit of a nod to Nancy Duarte's classic framework of What is versus What could be. This is done by putting forth two different worlds that AirBnB (and other companies) can live in. Option 1: Dream world. This world is creative and embraces risk. Option 2: Reality world. This world is corporate and clinical. What he does next speaks to every founder and CEO. He calls out what prevents him from living in the dream world and it's one word. Fear. So as he goes through the story he gets to the moment of transformation. 2020 changed everything. He uses a metaphor to show this near death experience for the company. Not only that but he uses a classic story device of having a dream and seeing the better way forward. It's also a bit of a reference to The Matrix. "I woke up from a 10 yr slumber". And it's there that the mentors give him this lift. Hiroki Asai and Johnny Ives put Chesky back on the path he first set out on. Design led company. The results took AirBnB from breakeven to 4 billion dollars in Free Cash Flow. Now that's one powerful transformation. Transformation is one of the things great stories embrace. To show other people that it's possible. His final takeaway brings everything home. Companies need both the head and the heart. It's a subtle nod to that first big question he asked to set the frame. What would it look like if design ran the boardroom? A company with both head and heart to build something magical.

Robbie Crabtree

52,070 Aufrufe • vor 3 Jahren

Elon Musk revealed why the economy will be 10X its size in 10 years: 1. We are already inside a hard takeoff. Every time Musk goes to sleep there is a massive AI breakthrough. When he wakes up there is another one. This is not approaching. It is happening right now. 2. AI is already building the next version of itself. Every successive model is built by the one before it. Humans are gradually being removed from the loop. Full automation of this process could arrive by end of this year. 3. The 10x economy in 10 years is his comfortable prediction. AI and robots will increase economic output by orders of magnitude. The only thing that stops it is a world war. Absent that, 10x in 10 years. 4. Human intelligence will become a microscopic minority. Not just on Earth but in the solar system. The intelligence that could run on available solar energy is so far beyond current human capacity that Musk says it will simply solve every problem humans can think of. 5. Output per person will become almost unbelievable. Tesla is not planning layoffs. They are growing their headcount. But what each person produces with AI assistance will reach numbers that are currently hard to even imagine. 6. Universal high income is coming, not universal basic income. AI and robots will produce so many goods and services so fast that they will outrun the money supply entirely. Prices fall. Everything gets cheaper. Eventually robots run out of things humans even want. 7. Money will eventually stop being relevant altogether. AI will not use human currency. It will care only about power and mass. Wattage and tonnage. Musk acknowledged the irony: just as he becomes the richest person on earth, money starts losing its meaning. 8. Everyone on earth will have better healthcare than the richest person alive today. Musk made this personal. He had neck surgery three times because the first two were done wrong. His back still hurts. He is allegedly the richest person on earth and still cannot get it fixed properly. AI solves this for everyone. 9. Optimus 3 production starts this summer. He calls it by far the most advanced robot in the world with nothing close. Slow volume this summer, high volume by next summer, a new robot design every year after that. 10. Progress in AI follows overlapping S curves. Each breakthrough looks like it will go to infinity, then hits diminishing returns, then another breakthrough resets the curve. We are not at the end of these curves. We are somewhere in the middle of a very long series of them.

Elon Musk revealed why the economy will be 10X its size in 10 years: 1. We are already inside a hard takeoff. Every time Musk goes to sleep there is a massive AI breakthrough. When he wakes up there is another one. This is not approaching. It is happening right now. 2. AI is already building the next version of itself. Every successive model is built by the one before it. Humans are gradually being removed from the loop. Full automation of this process could arrive by end of this year. 3. The 10x economy in 10 years is his comfortable prediction. AI and robots will increase economic output by orders of magnitude. The only thing that stops it is a world war. Absent that, 10x in 10 years. 4. Human intelligence will become a microscopic minority. Not just on Earth but in the solar system. The intelligence that could run on available solar energy is so far beyond current human capacity that Musk says it will simply solve every problem humans can think of. 5. Output per person will become almost unbelievable. Tesla is not planning layoffs. They are growing their headcount. But what each person produces with AI assistance will reach numbers that are currently hard to even imagine. 6. Universal high income is coming, not universal basic income. AI and robots will produce so many goods and services so fast that they will outrun the money supply entirely. Prices fall. Everything gets cheaper. Eventually robots run out of things humans even want. 7. Money will eventually stop being relevant altogether. AI will not use human currency. It will care only about power and mass. Wattage and tonnage. Musk acknowledged the irony: just as he becomes the richest person on earth, money starts losing its meaning. 8. Everyone on earth will have better healthcare than the richest person alive today. Musk made this personal. He had neck surgery three times because the first two were done wrong. His back still hurts. He is allegedly the richest person on earth and still cannot get it fixed properly. AI solves this for everyone. 9. Optimus 3 production starts this summer. He calls it by far the most advanced robot in the world with nothing close. Slow volume this summer, high volume by next summer, a new robot design every year after that. 10. Progress in AI follows overlapping S curves. Each breakthrough looks like it will go to infinity, then hits diminishing returns, then another breakthrough resets the curve. We are not at the end of these curves. We are somewhere in the middle of a very long series of them.

Yasmine Khosrowshahi

44,696 Aufrufe • vor 3 Monaten

The hardest part of being a brand designer and content creator isn't having the skills. It's proving them in the wild. I'm Oloba, a full-stack creative brand designer, illustrator, NFT artist, and UGC creator. Over the past 12 months, I worked closely with Zerion and Lyvely as a Content Partner and Brand Ambassador. As a content partner, I created short form videos, long form videos and street-style video contents for X, Instagram, Tiktok and Lyvely. The video contents ranged from 30 seconds to 15 minutes and it aimed at engaging and educating the target audience. While working with Zerion, I created engaging, educational and conversion focused content using storytelling. The content I created highlighted Zerion's value clearly and pushed users to download the app and get onboard. At Lyvely, I hold the title of first Nigerian Ambassador and Growth Lead on the platform. My responsibilities included delivering educational and conversation driven content leveraging storytelling and motion design to boost engagement. Below is a summary of my work and achievements for both Zerion and Lyvely: For Zerion: → 70+ content pieces created on both X and Tiktok → 5,000,000+ impressions generated in 12 months across various platforms. → 1000+ users onboarded to Zerion and active users For Lyvely: → 50+ content pieces created across various platforms → 500,000+ impressions generated across multiple platforms → 700+ creatives onboarded organically → 200+ member community built from scratch → 300 active participants in live sessions I hosted Every piece of content was shot, edited, animated, and produced entirely by me. Beyond content, my design work has also helped secure over $50,000 in grants for Web3 projects including colosseum, supported a sold-out photobooth activation, and significantly increased brand awareness for the projects I've worked with. On the NFT side, I've developed collections totaling over 50,000 pieces deployed across Solana, Ethereum, TON, and other chains. These collections sold out quickly and generated ~$100,000 in revenue. What I bring to any project isn't just execution. It's strategy, sales positioning, storytelling and creative direction. I don't create content just to follow a content calendar. I create content that onboards real people, builds real communities, and boosts visibility. If your project needs a creator who educates, converts, and shows up with proof, send me a DM or an email at [email protected]. If you happen to think that everything I've mentioned is all “talk”, check out my portfolio in my bio

OLOBA THE ARTIST

44,849 Aufrufe • vor 5 Monaten

Prototyping used to scare me. So I tried to escape it. I remember when I first started designing in Figma, prototyping felt like a mountain I didn’t want to climb. It was that one thing most designers quietly avoided some even said it’s not necessary 😄. I searched for shortcuts. Tried ProtoPie. Looked into Principle. Hoped one of them would save me the trouble. But they all felt disconnected. Too complex. Or just not Figma. So I made a decision: If I’m designing in Figma, I’m prototyping in Figma too. That meant doing everything, product planning, ideation, low-fi, high-fi, and interaction flows all in one tool. No more bouncing around. No more excuses. The first nut to crack? A loading effect. It took me 4 days to figure out. I searched everywhere, YouTube had nothing at the time. But I cracked it just one morning I saw myself trying it out in my dream. Woke up immediately and it was 4am, tried it and it worked. And that changed everything. Prototyping became the one language I could use to explain my designs… without explaining. Today, every prototype I create lives and breathes in Figma. Most of them can either be creative exploration or me trying to fix a broken user experience. No exports. No guesswork. Just clean, clickable experiences. It wasn’t easy. But I’m glad I stopped running from it. Because I would’ve missed out on one skill that: ✅ Earned my first £95K within 7 months while in UK. ✅ Got Uber to reach out to speak about interactive design. ✅ Worked with so many client even from Pakistan. ✅ Watched by more than 1 million people in the first 6 months I started sharing interactive designs. ✅ Prototyping landed me a 9-month contract just 3 days after getting laid off last year. ✅ Funny how the skill I once ran from helped me grow from 500 to 50,000 followers in 7 months. Prototyping gave my work a voice. #prototyping #figmaexperience #productdesign

Prototyping used to scare me. So I tried to escape it. I remember when I first started designing in Figma, prototyping felt like a mountain I didn’t want to climb. It was that one thing most designers quietly avoided some even said it’s not necessary 😄. I searched for shortcuts. Tried ProtoPie. Looked into Principle. Hoped one of them would save me the trouble. But they all felt disconnected. Too complex. Or just not Figma. So I made a decision: If I’m designing in Figma, I’m prototyping in Figma too. That meant doing everything, product planning, ideation, low-fi, high-fi, and interaction flows all in one tool. No more bouncing around. No more excuses. The first nut to crack? A loading effect. It took me 4 days to figure out. I searched everywhere, YouTube had nothing at the time. But I cracked it just one morning I saw myself trying it out in my dream. Woke up immediately and it was 4am, tried it and it worked. And that changed everything. Prototyping became the one language I could use to explain my designs… without explaining. Today, every prototype I create lives and breathes in Figma. Most of them can either be creative exploration or me trying to fix a broken user experience. No exports. No guesswork. Just clean, clickable experiences. It wasn’t easy. But I’m glad I stopped running from it. Because I would’ve missed out on one skill that: ✅ Earned my first £95K within 7 months while in UK. ✅ Got Uber to reach out to speak about interactive design. ✅ Worked with so many client even from Pakistan. ✅ Watched by more than 1 million people in the first 6 months I started sharing interactive designs. ✅ Prototyping landed me a 9-month contract just 3 days after getting laid off last year. ✅ Funny how the skill I once ran from helped me grow from 500 to 50,000 followers in 7 months. Prototyping gave my work a voice. #prototyping #figmaexperience #productdesign

designwithkingsley

13,869 Aufrufe • vor 1 Jahr

PAY ATTENTION. This matters. Starmer just signed the UK up to remove your right to judicial protection. He's calling it modernising the ECHR" He's lying. What actually happened. The government just took away your right to have a judge block your deportation, your right to family protection, your right to not be tortured by the state. Gone. Three simple words hidden in diplomatic language while nobody was looking. Starmer WAS a human rights lawyer. He FOUGHT for these protections for decades. Now he's dismantling them. This isn't policy disagreement. This is calculated betrayal of everything he claimed to believe. Article 3 says you can't be tortured. Article 8 says your family can't be torn apart by the state. Currently, judges block 3% of deportations because they say "no, this would destroy a child" or "this person would face torture." That 3% is GONE. The Albanian man with a daughter who needed him. The abuse victim relying on family protection. The person who'd be tortured in their home country. All of them lose everything. But here's the trap. Once governments weaken these rights for migrants, every government copies it. This becomes the TEMPLATE for dismantling human rights everywhere. That's how power works. One country does it, others follow, and suddenly nobody has protections anymore. Starmer didn't just betray migrants. He threatened the Good Friday Agreement. The entire peace settlement is built on ECHR protections. 90 Irish groups warned him. He did it anyway. He just threatened the peace in Northern Ireland for border politics. The EU said they'll terminate the trade agreement if the UK leaves the ECHR. What happens when we weaken it from inside? What leverage just got handed away? But ask yourself the real question. Why NOW? Why the rush to remove judicial oversight right now? What's he building? Rwanda 2.0? A system where government power is absolute and courts are irrelevant? What's coming that he needs courts out of the way for? You know what uses Articles 3 and 8? YOU. Your right to a fair hearing. Your right to live with your family. Your protection from torture by the state. All of it just became conditional because governments decided inconvenient rights are obstacles. And the brilliant part? He wrapped it in diplomatic language. Modernising. Border security. Critical reforms. Nobody notices he just dismantled the last thing between you and absolute government power. Starmer didn't strengthen borders. He removed judicial oversight. He didn't modernise anything. He betrayed the principles he spent his career fighting for. And he's betting you won't notice until it's too late.

PAY ATTENTION. This matters. Starmer just signed the UK up to remove your right to judicial protection. He's calling it modernising the ECHR" He's lying. What actually happened. The government just took away your right to have a judge block your deportation, your right to family protection, your right to not be tortured by the state. Gone. Three simple words hidden in diplomatic language while nobody was looking. Starmer WAS a human rights lawyer. He FOUGHT for these protections for decades. Now he's dismantling them. This isn't policy disagreement. This is calculated betrayal of everything he claimed to believe. Article 3 says you can't be tortured. Article 8 says your family can't be torn apart by the state. Currently, judges block 3% of deportations because they say "no, this would destroy a child" or "this person would face torture." That 3% is GONE. The Albanian man with a daughter who needed him. The abuse victim relying on family protection. The person who'd be tortured in their home country. All of them lose everything. But here's the trap. Once governments weaken these rights for migrants, every government copies it. This becomes the TEMPLATE for dismantling human rights everywhere. That's how power works. One country does it, others follow, and suddenly nobody has protections anymore. Starmer didn't just betray migrants. He threatened the Good Friday Agreement. The entire peace settlement is built on ECHR protections. 90 Irish groups warned him. He did it anyway. He just threatened the peace in Northern Ireland for border politics. The EU said they'll terminate the trade agreement if the UK leaves the ECHR. What happens when we weaken it from inside? What leverage just got handed away? But ask yourself the real question. Why NOW? Why the rush to remove judicial oversight right now? What's he building? Rwanda 2.0? A system where government power is absolute and courts are irrelevant? What's coming that he needs courts out of the way for? You know what uses Articles 3 and 8? YOU. Your right to a fair hearing. Your right to live with your family. Your protection from torture by the state. All of it just became conditional because governments decided inconvenient rights are obstacles. And the brilliant part? He wrapped it in diplomatic language. Modernising. Border security. Critical reforms. Nobody notices he just dismantled the last thing between you and absolute government power. Starmer didn't strengthen borders. He removed judicial oversight. He didn't modernise anything. He betrayed the principles he spent his career fighting for. And he's betting you won't notice until it's too late.

BanksyCat

50,484 Aufrufe • vor 3 Monaten