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Built the tool student actually can use to finally see Orthographic Projections- I wish I had it back then.. Orthographic Projection Visualizer- select any 3D part and instantly see the exact front, side, and top views appear live. No more guessing. No more static textbook diagrams. 20 real engineering... show more

shadows

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25,821 просмотров • 5 месяцев назад •via X (Twitter)

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HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

HTML Artifacts are a big part of how I work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:

elvis

18,374 просмотров • 4 месяцев назад

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,308 просмотров • 5 месяцев назад

This is NOT a #paid promotion. Some people may not like what I’m saying here - honestly, I don’t care. Two days ago, I drove on the Ganga Expressway for the first time after its inauguration - from NH-9 to the Bareilly-Badaun Highway. Seriously 😳 What an amazing experience! 😍 If you sit at home and only watch the news, it may feel like the Ganga Expressway is in terrible condition. But after actually driving on it, I have to say - the Ganga Expressway is genuinely very well built. Yes, I accept that there have been incidents at some locations. But most of the issues happened during the rainy season, where slope protection got damaged and the top-level side was affected. If the soil underneath itself isn’t stable because of water, how can the top layer remain perfectly in place? That doesn’t mean the earthwork was not done properly. In fact, in many places, the earthwork has been executed very well. But when it comes to water - who can really win? If the overall condition was as bad as some reports make it sound, this expressway would look more like the Lucknow–Kanpur Expressway, where you can see significant repair work at many locations. I’ll be driving the entire Ganga Expressway very soon, and then I’ll see what the actual condition is from one end to the other. One more thing. For the general public, the Ganga Expressway is one single project. But I look at it differently. At a major level, I divide it into 4 sections - and when I look at it microscopically, I see around 12 different sections. And if I talk at this micro level: 🔹 The section built by L&T is absolutely top-notch. 🔹The initial portion built by CDS Infra has a little bounce. If you drive above 100 km/h, you can definitely feel it. 🔹After that, the section built by HG Infra is also absolutely top-notch. I’ll cover the condition beyond Binwar this month and share what I actually find on the ground. And if you want to watch the vlog, it’s already LIVE on my second channel. Link : At the end, I’ll only say one thing: Don’t judge the Ganga Expressway by sitting at home. Go drive it yourself. Trust me, you’ll genuinely enjoy the drive. 🚗💨 UPEIDA Government of UP Yogi Adityanath Nand Gopal Gupta 'Nandi'

This is NOT a #paid promotion. Some people may not like what I’m saying here - honestly, I don’t care. Two days ago, I drove on the Ganga Expressway for the first time after its inauguration - from NH-9 to the Bareilly-Badaun Highway. Seriously 😳 What an amazing experience! 😍 If you sit at home and only watch the news, it may feel like the Ganga Expressway is in terrible condition. But after actually driving on it, I have to say - the Ganga Expressway is genuinely very well built. Yes, I accept that there have been incidents at some locations. But most of the issues happened during the rainy season, where slope protection got damaged and the top-level side was affected. If the soil underneath itself isn’t stable because of water, how can the top layer remain perfectly in place? That doesn’t mean the earthwork was not done properly. In fact, in many places, the earthwork has been executed very well. But when it comes to water - who can really win? If the overall condition was as bad as some reports make it sound, this expressway would look more like the Lucknow–Kanpur Expressway, where you can see significant repair work at many locations. I’ll be driving the entire Ganga Expressway very soon, and then I’ll see what the actual condition is from one end to the other. One more thing. For the general public, the Ganga Expressway is one single project. But I look at it differently. At a major level, I divide it into 4 sections - and when I look at it microscopically, I see around 12 different sections. And if I talk at this micro level: 🔹 The section built by L&T is absolutely top-notch. 🔹The initial portion built by CDS Infra has a little bounce. If you drive above 100 km/h, you can definitely feel it. 🔹After that, the section built by HG Infra is also absolutely top-notch. I’ll cover the condition beyond Binwar this month and share what I actually find on the ground. And if you want to watch the vlog, it’s already LIVE on my second channel. Link : At the end, I’ll only say one thing: Don’t judge the Ganga Expressway by sitting at home. Go drive it yourself. Trust me, you’ll genuinely enjoy the drive. 🚗💨 UPEIDA Government of UP Yogi Adityanath Nand Gopal Gupta 'Nandi'

Mohit Kumar

14,964 просмотров • 19 дней назад

I just built a Claude Code skill that scores whether your landing page actually keeps your Meta ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client I'm giving away the full skill completely for free. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

I just built a Claude Code skill that scores whether your landing page actually keeps your Meta ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client I'm giving away the full skill completely for free. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

Mike Futia

10,787 просмотров • 2 месяцев назад

I just built a Claude Code skill that scores whether your landing page actually keeps your ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client The honest part: message match is one lever on conversion, not the whole funnel. But it's the cheapest one to fix. You're not buying more clicks. You're keeping the clicks you already bought. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

I just built a Claude Code skill that scores whether your landing page actually keeps your ad's promise 🤯 Drop in your ad and the page it points to. It reads both, scores the "ad scent" from click to page, and finds the exact line where the page breaks the promise that won the click. All inside Claude Code. Perfect for DTC brands and media buyers who pour everything into the ad and the CPA but never grade the seam in between. If you're scaling spend on a winning ad, the click is landing on a page that opens with something slightly different, the ad promised 50% off and the page shows full price, the ad hooked "for oily skin" and the page is a generic homepage, and nothing looks broken, but the visitor feels it and bounces... That gap has a name in conversion work: message match. And you already paid for the click you're losing. Here's what it does: → Drop in your ad (headline, copy, offer, CTA) and the landing-page URL → It fetches the live page and reads what's actually above the fold → Grades 7 continuity dimensions: promise, offer, angle, CTA, audience, proof, visual → Shows your ad's words next to your page's words, so every gap is right there → Rewrites your hero headline so the page keeps the ad's promise → Renders a dashboard with a Match Score out of 100 No guessing why the click bounced. No blaming the creative for a page problem. No buying more traffic to fix a copy problem. What you get: → A Match Score on every ad-to-page pair before you scale → The ad-side vs page-side quotes, side by side, for every leak → A hero rewrite you can paste straight onto the page → A dashboard you can hand to your team or client The honest part: message match is one lever on conversion, not the whole funnel. But it's the cheapest one to fix. You're not buying more clicks. You're keeping the clicks you already bought. Built 100% in Claude Code. No API keys. Want the skill? > Like this post > Comment "MATCH" And I'll send it over (must be following so I can DM)

Mike Futia

10,242 просмотров • 2 месяцев назад

I noticed something weird about the ads that get 10M+ views. While most brands randomly animate everything hoping something works, viral ads follow a precise psychology pattern. Here's what I discovered: → They never animate text (protects cognitive load - Daniel Kahneman's research) → They focus motion on ONE primary element (leverages attention theory from William James) → They use specific timing that triggers dopamine release (based on BF Skinner's variable reward schedules) Most animated ads fail because they create visual chaos that overloads working memory. The brands crushing it with animated ads use Notch's Animated Ads feature, where they're giving away a master prompt system built on decades of behavioral psychology research from Stanford and MIT. No more guessing what motion will work. No more paying $5K for animations that flop. No more static ads getting buried in feeds. I'm giving away their complete Animated Ads Master Prompt guide that reveals the exact animation psychology. This is the same system top agencies use to create scroll-stopping animated creatives that convert. Want the viral animation playbook? Comment "NOTCH" + RT + Like I'll DM you the master prompt guide (Must be following so I can DM) Skip this and keep wondering why your animated ads don't work.

I noticed something weird about the ads that get 10M+ views. While most brands randomly animate everything hoping something works, viral ads follow a precise psychology pattern. Here's what I discovered: → They never animate text (protects cognitive load - Daniel Kahneman's research) → They focus motion on ONE primary element (leverages attention theory from William James) → They use specific timing that triggers dopamine release (based on BF Skinner's variable reward schedules) Most animated ads fail because they create visual chaos that overloads working memory. The brands crushing it with animated ads use Notch's Animated Ads feature, where they're giving away a master prompt system built on decades of behavioral psychology research from Stanford and MIT. No more guessing what motion will work. No more paying $5K for animations that flop. No more static ads getting buried in feeds. I'm giving away their complete Animated Ads Master Prompt guide that reveals the exact animation psychology. This is the same system top agencies use to create scroll-stopping animated creatives that convert. Want the viral animation playbook? Comment "NOTCH" + RT + Like I'll DM you the master prompt guide (Must be following so I can DM) Skip this and keep wondering why your animated ads don't work.

Samruddhi Mokal

105,501 просмотров • 11 месяцев назад

Back when I had nothing… I was a nobody to most people. TBH, my parents didn't even see me getting to where I am today. It's just the truth, the chips were stacked for my sister. Not me. But it's just not the reality today. However, there was ONE person in my life that didn’t see me that way. My significant other saw something in me before a lot of things. Before all my wins. Before the $. Before any proof. And honestly… that means a lot to me, if not the most of all. I’ve always been wired a little different. I’m a mix of finance, engineering, and tech, with a sprinkle of obsession. I learned and studied from the best. Warren Buffett for how to invest. Elon Musk for work ethic and where the future is going. And once I saw it… I went all in. Bc when you truly understand what you own… you don’t need 20 bets. What you really need is conviction and just a few bets. That’s how I approached everything in my life. All the way from Apple… to Tesla… to 𝕏… to xAI… and now SpaceX. I believe I have an eye for spotting the best entrepreneurs and companies early, before it becomes obvious to everyone. And when I see it, I back it 100%. That’s just who I am. I don’t need a big circle. I’ve already got my day ones. I don’t need approval. I grew up my whole life with doubt and hate, so what’s one more? At this point, the levels are just too different. And yeah… it's true, it actually gets harder to make new friends when you’re moving like this. So I stay loyal to the ones who were there when I had nothing. I made it with Apple - youngest in, youngest out. Then I made it with Tesla… while people were laughing, doubting, calling me crazy, telling me I was going to go bankrupt with Elon. Fast forward to today, now I'm heading into something even bigger. If the story plays out the way it’s shaping up… SpaceX could have the largest IPO in history this year. The company is talking about raising over $75B… at a $1.75-$2 trillion valuation. For context… the biggest IPO ever - Saudi Aramco - raised about $29B. This would be more than double that. Let that sink in deep. To me this is more than just an investment. This is owning a piece of the future of space, energy, AI... extending the light of consciousness forward in case something happens to Earth. People can call me crazy. People can call me cocky. Arrogant. But the people that actually know me know the truth - I’m just real AF. I say what I believe, and I stand on it. And I genuinely don’t care what people think. I have two middle fingers always held high for those kind of people. That’s probably why I’ve been able to win the way I have. My significant other tells me to slow down sometimes. And I get it. But for me… What’s the point of life if you play it safe? If you see an opportunity that can change everything… and you just sit back? That’s not me. I’d rather go all in on something I believe in… live with intensity… take the hits… and actually feel alive and live life with fulfillment. Laugh if you want, doubt if you want. Some play it safe, a few go all in. You can call it risky. You can call it stupid. You can call it crazy. I call it living. Bc at the end of the day, I'd rather go all in on something I believe in and fail... than spend my life wondering "what if."

Back when I had nothing… I was a nobody to most people. TBH, my parents didn't even see me getting to where I am today. It's just the truth, the chips were stacked for my sister. Not me. But it's just not the reality today. However, there was ONE person in my life that didn’t see me that way. My significant other saw something in me before a lot of things. Before all my wins. Before the $. Before any proof. And honestly… that means a lot to me, if not the most of all. I’ve always been wired a little different. I’m a mix of finance, engineering, and tech, with a sprinkle of obsession. I learned and studied from the best. Warren Buffett for how to invest. Elon Musk for work ethic and where the future is going. And once I saw it… I went all in. Bc when you truly understand what you own… you don’t need 20 bets. What you really need is conviction and just a few bets. That’s how I approached everything in my life. All the way from Apple… to Tesla… to 𝕏… to xAI… and now SpaceX. I believe I have an eye for spotting the best entrepreneurs and companies early, before it becomes obvious to everyone. And when I see it, I back it 100%. That’s just who I am. I don’t need a big circle. I’ve already got my day ones. I don’t need approval. I grew up my whole life with doubt and hate, so what’s one more? At this point, the levels are just too different. And yeah… it's true, it actually gets harder to make new friends when you’re moving like this. So I stay loyal to the ones who were there when I had nothing. I made it with Apple - youngest in, youngest out. Then I made it with Tesla… while people were laughing, doubting, calling me crazy, telling me I was going to go bankrupt with Elon. Fast forward to today, now I'm heading into something even bigger. If the story plays out the way it’s shaping up… SpaceX could have the largest IPO in history this year. The company is talking about raising over $75B… at a $1.75-$2 trillion valuation. For context… the biggest IPO ever - Saudi Aramco - raised about $29B. This would be more than double that. Let that sink in deep. To me this is more than just an investment. This is owning a piece of the future of space, energy, AI... extending the light of consciousness forward in case something happens to Earth. People can call me crazy. People can call me cocky. Arrogant. But the people that actually know me know the truth - I’m just real AF. I say what I believe, and I stand on it. And I genuinely don’t care what people think. I have two middle fingers always held high for those kind of people. That’s probably why I’ve been able to win the way I have. My significant other tells me to slow down sometimes. And I get it. But for me… What’s the point of life if you play it safe? If you see an opportunity that can change everything… and you just sit back? That’s not me. I’d rather go all in on something I believe in… live with intensity… take the hits… and actually feel alive and live life with fulfillment. Laugh if you want, doubt if you want. Some play it safe, a few go all in. You can call it risky. You can call it stupid. You can call it crazy. I call it living. Bc at the end of the day, I'd rather go all in on something I believe in and fail... than spend my life wondering "what if."

Teslaconomics

29,404 просмотров • 6 месяцев назад

The haters told me I’d never own a Tesla Model X. Then I bought one. They told me I’d never own a Cyberbeast. Then I got one… and put tens of thousands of miles on it. They told me leaving Apple was crazy… that walking away from a great career to bet on myself was a mistake. Then I became financially free, built my own business, started making more $ doing what I love, and got my time back. They told me posting about Tesla and Elon every day was a waste of time and wasn’t exciting. Then that little account turned into Teslaconomics… it opened doors I never expected. I went from watching Tesla launches online to getting invited into the room. From talking about Robotaxis to actually riding them. From dreaming about the future to sitting inside a Cybercab with no steering wheel and no pedals while it drove me around Austin. And through all of it, there has always been somebody saying: “You’ll never do that.” “You’ll never get that.” “That’s not going to happen.” I’ve learned something over the years… Often times the best thing you can do is stop arguing with people and just keep building your life. Don’t waste your time and energy on them. Let the results answer for you. Now I can’t wait to see their faces when the next-gen Tesla Roadster is sitting in my garage. SpaceX package if Tesla lets me. Some people see something they’ll never have in life. I see the next thing I’m actually going to own. See you when it gets here. And I’ll be smiling at all of them again, saying I told you so, again.

The haters told me I’d never own a Tesla Model X. Then I bought one. They told me I’d never own a Cyberbeast. Then I got one… and put tens of thousands of miles on it. They told me leaving Apple was crazy… that walking away from a great career to bet on myself was a mistake. Then I became financially free, built my own business, started making more $ doing what I love, and got my time back. They told me posting about Tesla and Elon every day was a waste of time and wasn’t exciting. Then that little account turned into Teslaconomics… it opened doors I never expected. I went from watching Tesla launches online to getting invited into the room. From talking about Robotaxis to actually riding them. From dreaming about the future to sitting inside a Cybercab with no steering wheel and no pedals while it drove me around Austin. And through all of it, there has always been somebody saying: “You’ll never do that.” “You’ll never get that.” “That’s not going to happen.” I’ve learned something over the years… Often times the best thing you can do is stop arguing with people and just keep building your life. Don’t waste your time and energy on them. Let the results answer for you. Now I can’t wait to see their faces when the next-gen Tesla Roadster is sitting in my garage. SpaceX package if Tesla lets me. Some people see something they’ll never have in life. I see the next thing I’m actually going to own. See you when it gets here. And I’ll be smiling at all of them again, saying I told you so, again.

Teslaconomics

48,042 просмотров • 11 дней назад

Big moment for text-to-speech. Qwen just open-sourced a text-to-speech model that lets you clone voices, design new ones, and control speech using natural language. Let me explain what I mean: You can literally tell it "speak in a cheerful tone with slight nervousness," and it actually does that. No complex audio engineering needed. What makes this special: - 3-second voice cloning - Covers 10 languages: English, German, French, and more - Latency as low as 97ms for real-time applications - Supports both streaming and non-streaming generation The model comes in two sizes (0.6B and 1.7B parameters), so you can pick based on your hardware and quality needs. Three modes to work with: 1. Custom Voice: Use pre-built premium voices with instruction-based style control 2. Voice Design: Describe the voice you want in plain English (or Chinese), and the model creates it 3. Voice Clone: Provide a 3-second reference audio and clone that voice The best part? It integrates with vLLM for production deployment and has a simple Python package you can pip install. I've shared a link to the GitHub repo in the next tweet.

Big moment for text-to-speech. Qwen just open-sourced a text-to-speech model that lets you clone voices, design new ones, and control speech using natural language. Let me explain what I mean: You can literally tell it "speak in a cheerful tone with slight nervousness," and it actually does that. No complex audio engineering needed. What makes this special: - 3-second voice cloning - Covers 10 languages: English, German, French, and more - Latency as low as 97ms for real-time applications - Supports both streaming and non-streaming generation The model comes in two sizes (0.6B and 1.7B parameters), so you can pick based on your hardware and quality needs. Three modes to work with: 1. Custom Voice: Use pre-built premium voices with instruction-based style control 2. Voice Design: Describe the voice you want in plain English (or Chinese), and the model creates it 3. Voice Clone: Provide a 3-second reference audio and clone that voice The best part? It integrates with vLLM for production deployment and has a simple Python package you can pip install. I've shared a link to the GitHub repo in the next tweet.

Akshay 🚀

31,249 просмотров • 8 месяцев назад

I learned this the hard way: do NOT use SwiftUI if you want your app to look and feel amazing. At least when coding with AI. (sorry, Apple colleagues reading this 😅) I'm sharing my process vibe coding this calorie tracker. I get a lot of questions about the fluid transition in the video. Here's the whole story. Initially, Claude built the grid with SwiftUI. It was quick and easy, and looked good! But the transition to the day view was a boring navigation push/pop. No fun. I wanted something custom. I asked Claude to make it a fluid transition that remaps the food tiles from their source to destination positions. All hell broke loose. Claude tried a bunch of horrible things. Initially it used matched geometry effects, which worked OK but didn't lend themselves well to gesture-driven animations. So it resorted to SwiftUI preference keys + geometry readers to figure out the source and destination positions and calculate the interpolated position based on gesture progress, coordinating across grid and day views. But this meant it had to write a custom layout because it couldn't reposition tiles inside the native SwiftUI grid. And it had to do an awkward handoff between views, which always created ugly pops or jumps. And don't get me started on trying to put it on a bouncy spring, that only made the math 10x buggier. Fortunately, Claude Fable was smart enough to see that this was becoming a disaster (and discover most of the issues itself, in the simulator), so it pivoted away from SwiftUI. Opus might not be so wise, so you'll have to pay attention and intervene. Ultimately, it rewrote it in plain UIKit and everything turned out great. After that, we moved from 2D images to 3D assets, which introduced a new set of performance challenges and yet another rewrite to a single Metal layer, which is what you see below. I can write more about the 2D-to-3D saga if anyone's interested. If I were to do it again, I'd just say "Don't use SwiftUI" from the very first prompt, and save a few hours of headaches. SwiftUI can be amazing for a human iterating directly in code. But agents don't benefit from any of its advantages. Plus, agents have seen decades of UIKit training data, so they're great at writing it, and it's far more flexible. Here's hoping we see more agent-friendly iterations of SwiftUI in the future. Till then, I'm probably going to avoid it.

I learned this the hard way: do NOT use SwiftUI if you want your app to look and feel amazing. At least when coding with AI. (sorry, Apple colleagues reading this 😅) I'm sharing my process vibe coding this calorie tracker. I get a lot of questions about the fluid transition in the video. Here's the whole story. Initially, Claude built the grid with SwiftUI. It was quick and easy, and looked good! But the transition to the day view was a boring navigation push/pop. No fun. I wanted something custom. I asked Claude to make it a fluid transition that remaps the food tiles from their source to destination positions. All hell broke loose. Claude tried a bunch of horrible things. Initially it used matched geometry effects, which worked OK but didn't lend themselves well to gesture-driven animations. So it resorted to SwiftUI preference keys + geometry readers to figure out the source and destination positions and calculate the interpolated position based on gesture progress, coordinating across grid and day views. But this meant it had to write a custom layout because it couldn't reposition tiles inside the native SwiftUI grid. And it had to do an awkward handoff between views, which always created ugly pops or jumps. And don't get me started on trying to put it on a bouncy spring, that only made the math 10x buggier. Fortunately, Claude Fable was smart enough to see that this was becoming a disaster (and discover most of the issues itself, in the simulator), so it pivoted away from SwiftUI. Opus might not be so wise, so you'll have to pay attention and intervene. Ultimately, it rewrote it in plain UIKit and everything turned out great. After that, we moved from 2D images to 3D assets, which introduced a new set of performance challenges and yet another rewrite to a single Metal layer, which is what you see below. I can write more about the 2D-to-3D saga if anyone's interested. If I were to do it again, I'd just say "Don't use SwiftUI" from the very first prompt, and save a few hours of headaches. SwiftUI can be amazing for a human iterating directly in code. But agents don't benefit from any of its advantages. Plus, agents have seen decades of UIKit training data, so they're great at writing it, and it's far more flexible. Here's hoping we see more agent-friendly iterations of SwiftUI in the future. Till then, I'm probably going to avoid it.

Anshu

115,181 просмотров • 3 месяцев назад

There's something about design that truly makes me happy. Before I was diagnosed with a complete SCI, I loved building thing with my hands and trying to make them unique and beautiful. The accident didn't just take my mobility, it robbed me of my creative drive. I didn't I would ever get that back that was up until Neuralink came into the picture. I was very serious about applying but just couldn't bring myself to do it. Then Noland Arbaugh comes into the picture and I see his video and I saw how passionate he was toward the whole ide and that was like a switch. I want to thank Noland because if I hadn't seen that video I wouldn't be typing this message with my thoughts. So the day I gained control of the device I had the guys install Autodesk Fusion and the first night I had my first part designed by BCI. I have been designing things non-stop since. Now lets talk tools and the first one is the ArcDroid it is a CNC robot that holds a plasma torch and can cut profiles in sheet metal. I have made numerous signs, letters and parts with this and i love it. I have also had the chance to help the local high school install and setup their CNC plasma table. I love being able to share my knowledge with others and show new technology to kids that want to learn. The next one everybody is more familiar with is the Bambu Lab X1C. It is my first 3D printer and I had no idea how dang handy these things were! I can go from thought, Neuralink, Fusion, X1C and poof! You have your part all in a matter of like a hour. I make everything from parts for my wheelchair or RC ✈ to toys for my nephew. These devices have completely changed my life. I now have my creative outlet back and I'm not done looking for new things to try. I'm thinking a laser next!!!😎 Thank you Elon Musk for the opportunity to showcase my skills, I'm extremely grateful🙏

There's something about design that truly makes me happy. Before I was diagnosed with a complete SCI, I loved building thing with my hands and trying to make them unique and beautiful. The accident didn't just take my mobility, it robbed me of my creative drive. I didn't I would ever get that back that was up until Neuralink came into the picture. I was very serious about applying but just couldn't bring myself to do it. Then Noland Arbaugh comes into the picture and I see his video and I saw how passionate he was toward the whole ide and that was like a switch. I want to thank Noland because if I hadn't seen that video I wouldn't be typing this message with my thoughts. So the day I gained control of the device I had the guys install Autodesk Fusion and the first night I had my first part designed by BCI. I have been designing things non-stop since. Now lets talk tools and the first one is the ArcDroid it is a CNC robot that holds a plasma torch and can cut profiles in sheet metal. I have made numerous signs, letters and parts with this and i love it. I have also had the chance to help the local high school install and setup their CNC plasma table. I love being able to share my knowledge with others and show new technology to kids that want to learn. The next one everybody is more familiar with is the Bambu Lab X1C. It is my first 3D printer and I had no idea how dang handy these things were! I can go from thought, Neuralink, Fusion, X1C and poof! You have your part all in a matter of like a hour. I make everything from parts for my wheelchair or RC ✈ to toys for my nephew. These devices have completely changed my life. I now have my creative outlet back and I'm not done looking for new things to try. I'm thinking a laser next!!!😎 Thank you Elon Musk for the opportunity to showcase my skills, I'm extremely grateful🙏

Alex Conley

43,158 просмотров • 9 месяцев назад

004/100 Buttons. A bit of the process on building an animation. When looking at a finished animation or in this example a finished button, it can look quite complex inside the CSS. But when building it, it’s more like a lot of simple steps, one after another. Here I had the idea to make some kind of text animation like the footer logo on the Osmo site. I try to add the base animation with no complex easing, for example transition: translate 0.4s ease. Starting with just moving the one text from bottom to top and the other text to top. Adding a stagger, play around with it. Searching for a way to make it more circular. On the research I found the sin() function inside CSS which can build a more smooth non linear curve for the stagger which creates this circular effect. And step by step adding more complexity like, different easing for hover/hover-out, opacity, 3D transform and more. I use also the sin() function to rotate the letters, so the middle ones are getting more rotated than the outer ones. Another thing which helps is to add a small delay on hover, for example 0.05s or 0.1s, you don’t really see the difference, but when you hover pretty fast on and out it doesn’t get that jumpy. I’m using here GSAP’s SplitText to split every char into spans. And then I’m adding a CSS index variable to every span, starting from the center. SplitText can provide CSS index variables, but you cannot tell it from which direction. For the sin() it’s also important to have a max length, so I add another CSS variable with the max char number on it. Crafting 100 Buttons with Osmo ⏳ Total time: 63h

Eduard Bodak

166,023 просмотров • 4 месяцев назад

Orm actually reposted these two videos before 😁 What makes them even more special is how much they remind me of LingOrm's story from the very beginning... It feels like the dream of a girl who had quietly admired someone for years, then when they finally met again Orm slowly won Ling over with nothing but her sincerity and genuine heart ( they were each other's first love - the difference is that one person fell first and patiently waited to be noticed, their relationship didn't grow overnight but it grew steadily and built something strong 🩶) when Ling finally fell for Orm the change was hard to miss, people started seeing sides of Ling they had never seen before, she once said that when she's in love no one can compete with her; Lingling has also said she's grateful to be part of LingOrm and grateful to have Orm by her side through everything they've been through together ( along the way they built a bond that runs incredibly deep)😌 Orm came into Ling's life and helped her understand what she truly needed, once Ling found her answer she made her choice, " and even if she had the chance to choose again i believe her answer would still be the same, she would still choose Orm as the person she wants by her side. that has never changed and Ling has always been certain of that choice " 😭 #LingOrm #หลิงออม

Orm actually reposted these two videos before 😁 What makes them even more special is how much they remind me of LingOrm's story from the very beginning... It feels like the dream of a girl who had quietly admired someone for years, then when they finally met again Orm slowly won Ling over with nothing but her sincerity and genuine heart ( they were each other's first love - the difference is that one person fell first and patiently waited to be noticed, their relationship didn't grow overnight but it grew steadily and built something strong 🩶) when Ling finally fell for Orm the change was hard to miss, people started seeing sides of Ling they had never seen before, she once said that when she's in love no one can compete with her; Lingling has also said she's grateful to be part of LingOrm and grateful to have Orm by her side through everything they've been through together ( along the way they built a bond that runs incredibly deep)😌 Orm came into Ling's life and helped her understand what she truly needed, once Ling found her answer she made her choice, " and even if she had the chance to choose again i believe her answer would still be the same, she would still choose Orm as the person she wants by her side. that has never changed and Ling has always been certain of that choice " 😭 #LingOrm #หลิงออม

Changg

23,941 просмотров • 3 месяцев назад

NEW: Nantucket home that was assessed in 2024 at $1.9M, sells for just $200k as the land gets taken over by the ocean. Satellite images show just how much of the property has been swallowed by the ocean over the past three decades. The owners were actually grateful to sell the home for just $200k because "the house may not last more than six months." The property got wrecked by recent storms that eroded back the property, getting very close to the home. "It’s about ready to go in. It used to be a neighborhood... And now, if you take a drive out there, there’s not much to see," said owner Jane Carlin who bought the house in 1988. "All winter I had been really frantically trying to see if any of the organizations would consider taking the house and moving it," Carlin said to the Nantucket Current. "I didn’t want to see it fall into the ocean or get demolished. But I had no luck whatsoever." Businessman Don Vaccaro, who owned the property next door, eventually offered Carlin $200k for the home. "We said 'Whoa! We’re not going to say no'." "Basically, the house may not last more than six months. Inevitably the ocean will win. The house is only temporary, everything in life is temporary." Video: nantucketcurrent (IG)

NEW: Nantucket home that was assessed in 2024 at $1.9M, sells for just $200k as the land gets taken over by the ocean. Satellite images show just how much of the property has been swallowed by the ocean over the past three decades. The owners were actually grateful to sell the home for just $200k because "the house may not last more than six months." The property got wrecked by recent storms that eroded back the property, getting very close to the home. "It’s about ready to go in. It used to be a neighborhood... And now, if you take a drive out there, there’s not much to see," said owner Jane Carlin who bought the house in 1988. "All winter I had been really frantically trying to see if any of the organizations would consider taking the house and moving it," Carlin said to the Nantucket Current. "I didn’t want to see it fall into the ocean or get demolished. But I had no luck whatsoever." Businessman Don Vaccaro, who owned the property next door, eventually offered Carlin $200k for the home. "We said 'Whoa! We’re not going to say no'." "Basically, the house may not last more than six months. Inevitably the ocean will win. The house is only temporary, everything in life is temporary." Video: nantucketcurrent (IG)

Collin Rugg

13,805,967 просмотров • 2 лет назад

I've now built the BEST iFVG Retrace indicator. FREE. One model, mapped end to end — the raid on liquidity, the CISD closure that confirms it, and the entry on the retrace back into the inverted FVG. • Auto setup hunter — scans both directions continuously and arms the next qualifying setup on its own. Nothing to reset, nothing to redraw. • Auto invalidation — a setup kills itself the moment it's wrong: raid broken, zone body-filled, or no retrace inside the window. It clears off the chart instead of sitting there looking valid. • Drawn live as it forms — levels, zones, plan and targets all build in real time. No repainting, nothing added in after the move. • Liquidity mapped for you — PDH/PDL, PWH/PWL, Asia · London · NY AM · NY PM highs and lows, swings and equal highs/lows. Every line stops exactly where price takes it. • Runway grading — A+ open air down to C, so you can see what's standing in front of a trade before you're in it. • Lid lines — the levels stacked between your entry and 3R, drawn. • Entry, stop and target with risk/reward boxes and a written plan on every setup. • Live read-out — direction, RR, nearest draw, grade, session sweep, setups today. • HTF nesting, a V-shape reversal spotter, and alerts on armed / entry / target / stopped, webhook JSON included. No sub. No paywall. FREE. I post more free content in my Discord → Comment below if you want it, and repost so it lands in front of someone still guessing their entries.

I've now built the BEST iFVG Retrace indicator. FREE. One model, mapped end to end — the raid on liquidity, the CISD closure that confirms it, and the entry on the retrace back into the inverted FVG. • Auto setup hunter — scans both directions continuously and arms the next qualifying setup on its own. Nothing to reset, nothing to redraw. • Auto invalidation — a setup kills itself the moment it's wrong: raid broken, zone body-filled, or no retrace inside the window. It clears off the chart instead of sitting there looking valid. • Drawn live as it forms — levels, zones, plan and targets all build in real time. No repainting, nothing added in after the move. • Liquidity mapped for you — PDH/PDL, PWH/PWL, Asia · London · NY AM · NY PM highs and lows, swings and equal highs/lows. Every line stops exactly where price takes it. • Runway grading — A+ open air down to C, so you can see what's standing in front of a trade before you're in it. • Lid lines — the levels stacked between your entry and 3R, drawn. • Entry, stop and target with risk/reward boxes and a written plan on every setup. • Live read-out — direction, RR, nearest draw, grade, session sweep, setups today. • HTF nesting, a V-shape reversal spotter, and alerts on armed / entry / target / stopped, webhook JSON included. No sub. No paywall. FREE. I post more free content in my Discord → Comment below if you want it, and repost so it lands in front of someone still guessing their entries.

Blank333

27,733 просмотров • 1 месяц назад

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~~~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~~~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

björk

54,602 просмотров • 1 год назад

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

Building a personal knowledge base for my agents is increasingly where I spend my time these days. Like Andrej Karpathy, I also use Obsidian for my MD vaults. What's different in my approach is that I curate research papers on a daily basis and have actually tuned a Skill for months to find high-signal, relevant papers. I was reviewing and curating papers manually for some time, but now it's all automated as it has gotten so good at capturing what I consider the best of the best. There are so many papers these days, so this is a big deal. You all get to benefit from that with the papers I feature in my timeline and on DAIR.AI. The papers are indexed using tobi lutke qmd cli tool (all of it in markdown files along with useful metadata). So good for semantic search and surfacing insights, unlike anything out there. I am a visual person, so I then started to experiment with how to leverage this personal knowledge base of research papers inside my new interactive artifact generator (mcp tools inside my agent orchestrator system). The result is what you see in the clip. 100s of papers with all sorts of insights visualized. I keep track of research papers daily, so believe me when I tell you that this system is absolutely insane at surfacing insights. This is the result of months of tinkering on how to index research and leverage agent automations for wikification and robust documentation. But this is just the beginning. The visual artifact (which is interactive too) can be changed dynamically as I please. I can prompt my agent to throw any data at it. I can add different views to the data. Different interactions. I feel like this is the most personalized research system I have ever built and used, and it's not even close. The knowledge that the agents are able to surface from this basic setup is already extremely useful as I experiment with new agentic engineering concepts. I feel like this knowledge layer and the higher-level ones I am working on will allow me to maximize other automation tools like autoresearch. The research is only as good as the research questions. And the research questions are only as good as the insights the agents have access to. Where I am spending time now is on how to make this more actionable. I am obsessed about the search problem here. The automations, autoresearch, ralph research loop (I built one months ago) are easier to build but are only as good as what you feed them. Work in progress. More updates soon. Back to building.

elvis

467,058 просмотров • 5 месяцев назад

$I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.$

I built a content engine that runs on telegram. Two commands... /discover: sends out to 9 sources across HackerNews, Reddit communities covering AI automation, prompt engineering, vibe coding, and specialist newsletters. Pulls everything published in the last 24 hours, runs each item through an AI extraction layer that scores it against 100+ niche keywords, deduplicates, and drops the relevant ideas into a Notion database. Takes about 90 seconds. Costs fractions of a cent. /ideas: this command pulls the top scored ideas from that database, randomizes the selection so you're not seeing the same ones every time, and sends them to you in a clean numbered list. You reply with /write 3 or whatever you choose, and the system researches the topic using Perplexity's live web search, generates three distinct outline options with different angles and hooks, saves them to a Google Doc, and sends you a message telling you they're ready. You read the outlines, and you pick one. You then reply with the command /outline 2. The system writes the full piece in your voice, following your brand guidelines, with specific examples and concrete claims. It can be done in under two minutes of your time. The whole thing runs on n8n, with no subscriptions beyond what you already use. If content takes too long or you don't have ideas, this solves that. I built this for myself; I can do it for you. If you're tired of knowing you should be posting and still not doing it, let's talk.

Savvy | Ai & Automation

15,746 просмотров • 6 месяцев назад