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I built an open-source McKinsey for people that don't have $2mil/yr for billable hours💼 Consultants can now collapse hours of research into 5/10 mins... -> Generate deliverables (DOCX/PDF/CSV) -> Market Analysis -> Due Diligence & Competitive Intel 🔗

Odogwu Machalla

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101,530 次观看 • 6 个月前 •via X (Twitter)

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After putting 10 hours into the Echoes Of Aincrad demo I can finally rest till launch Leveled up every weapon to the current max, hit max lvl and now i'm ready. If i had to rate the weapons for me it would be Rapier > Dagger > Mace > Greatsword > Sword >>>>>>>>>>>> Axe (yuck)

After putting 10 hours into the Echoes Of Aincrad demo I can finally rest till launch Leveled up every weapon to the current max, hit max lvl and now i'm ready. If i had to rate the weapons for me it would be Rapier > Dagger > Mace > Greatsword > Sword >>>>>>>>>>>> Axe (yuck)

Willow 🎭

68,998 次观看 • 2 个月前

My Podcast Agent now saves me ~1 hour per week I subscribe to 20 podcast shows - which translates to ~5 hours per day. However, I only have time to listen to ~2 hours worth of material (even on 1.5x while I’m at the gym or doing other time pass) Previously, for episodes I couldn’t listen to - I would spend ~10 mins (on average) to find the podcast transcript online (YT or otherwise), then upload the PDF into ChatGPT & get the summary output in my desired format. But now, without writing a line of code, built using OpenClaw & a Notion integration through Composio, my Podcast Agent has automated all of this:

My Podcast Agent now saves me ~1 hour per week I subscribe to 20 podcast shows - which translates to ~5 hours per day. However, I only have time to listen to ~2 hours worth of material (even on 1.5x while I’m at the gym or doing other time pass) Previously, for episodes I couldn’t listen to - I would spend ~10 mins (on average) to find the podcast transcript online (YT or otherwise), then upload the PDF into ChatGPT & get the summary output in my desired format. But now, without writing a line of code, built using OpenClaw & a Notion integration through Composio, my Podcast Agent has automated all of this:

Rahul Mathur

27,777 次观看 • 6 个月前

#WATCH | On L&T Chairman SN Subrahmanyan advocates a 90-hour work week, Mahindra Group Chairman Anand Mahindra says, "I have a huge respect for Narayan Murthy and others. So let me not get this wrong. But I have to say something. I think this debate is in the wrong direction because this debate is about the quantity of work. My point is we have to focus on the quality of work, not on the quantity of work. So it's not about 40 hours, or 70 hours or 90 hours. What output are you doing even if it's 10 hours? You can change the world in 10 hours... I have always believed that you have to have leaders and people in your company who make wise decisions and wise choices. So the question is, which kind of mindmakes the right choices and right decisions? And I think a mind that is exposed to holistic thinking, thinking that is open to inputs from around the world, that's when you'll make a good decision. If you don't spend time at home, if you're not spending time with friends, not reading, and don't have time to reflect, how will you bring the right inputs into making a decision?... I don't want it to be about quantity. Ask me what's the quality of my work. Don't ask me how many hours I work...."

#WATCH | On L&T Chairman SN Subrahmanyan advocates a 90-hour work week, Mahindra Group Chairman Anand Mahindra says, "I have a huge respect for Narayan Murthy and others. So let me not get this wrong. But I have to say something. I think this debate is in the wrong direction because this debate is about the quantity of work. My point is we have to focus on the quality of work, not on the quantity of work. So it's not about 40 hours, or 70 hours or 90 hours. What output are you doing even if it's 10 hours? You can change the world in 10 hours... I have always believed that you have to have leaders and people in your company who make wise decisions and wise choices. So the question is, which kind of mindmakes the right choices and right decisions? And I think a mind that is exposed to holistic thinking, thinking that is open to inputs from around the world, that's when you'll make a good decision. If you don't spend time at home, if you're not spending time with friends, not reading, and don't have time to reflect, how will you bring the right inputs into making a decision?... I don't want it to be about quantity. Ask me what's the quality of my work. Don't ask me how many hours I work...."

ANI

102,689 次观看 • 1 年前

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?

cayden 凯登

20,542 次观看 • 3 个月前

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours

THIS GUY UPDATED AN OPEN SOURCE TOOL FOR CLAUDE FABLE 5 THAT TAKES A SINGLE IMAGE AND AUTOMATICALLY REBUILDS IT AS A PREMIUM SCROLL LINKED WEB ANIMATION Instead of slicing videos by hand or exporting individual frames, you just hand it an image and it recreates the entire sequence as a pure scroll mapped experience - Pick an anchor image and set your overall creative direction - The tool automatically scales it into motion clips and uses ffmpeg to rip out every frame in the background - Maps the frames directly to your scroll position, tracking the cursor for an ultra smooth user experience - AND its open source, so you can drop the skill into your own terminal workspace He tested it on a highly detailed origami style travel website and it came out genuinely good for something built completely in one shot Turning a single photo into an automated frame mapped scrolling app is the kind of thing that used to take a developer hours

0xMarioNawfal

111,468 次观看 • 1 个月前

NVIDIA just released a repo that scans AI agent skills for security risks BEFORE you run them, which matters more than people realize now that everyone's installing random tools, skills, and MCPs from GitHub. I break down that one AND 4 other GitHub repos trending over the last 30 days in this episode of The Startup Ideas Podcast (SIP) 🧃: 1. A skill that kills AI slop finally (better writing) 2. A CRM thats built for AI agents (so you can have agents follow up, reach out etc) 3. An agent that edits your videos for you (so you can focus on creative) 4. An opensource CapCut alternative built for agents (because editing is a headache) All free, all open source. Watch my breakdown of the 5 GitHub repos trending over the last 30 days below The tools people will be talking about in six months are on GitHub today. That's the fun part of digging through GitHub right now.

NVIDIA just released a repo that scans AI agent skills for security risks BEFORE you run them, which matters more than people realize now that everyone's installing random tools, skills, and MCPs from GitHub. I break down that one AND 4 other GitHub repos trending over the last 30 days in this episode of The Startup Ideas Podcast (SIP) 🧃: 1. A skill that kills AI slop finally (better writing) 2. A CRM thats built for AI agents (so you can have agents follow up, reach out etc) 3. An agent that edits your videos for you (so you can focus on creative) 4. An opensource CapCut alternative built for agents (because editing is a headache) All free, all open source. Watch my breakdown of the 5 GitHub repos trending over the last 30 days below The tools people will be talking about in six months are on GitHub today. That's the fun part of digging through GitHub right now.

GREG ISENBERG

44,648 次观看 • 2 天前

We should never manipulate markets that are very competitive and have been functioning so well for so long. The truth is about credit cards, every time there's a new entrant, it's so competitive. They offer 0% financing for six months. Now as a result of this jawboning, it'd be very easy for new entrants to come in and say, "Look, we'll put, charge 10% for the first year," which is what Trump wants, but if you all of a sudden start to manipulate or put mandates or try and control free markets, people will lose credit availability, and rates won't change long term. It's so competitive that the rates that are charged now take into account bad debt, the cost of funding all of the loyalty programs. It's a free market, so let the market do its thing. I don't like government, any government, ever manipulating markets. It never ends well. It always ends badly.

We should never manipulate markets that are very competitive and have been functioning so well for so long. The truth is about credit cards, every time there's a new entrant, it's so competitive. They offer 0% financing for six months. Now as a result of this jawboning, it'd be very easy for new entrants to come in and say, "Look, we'll put, charge 10% for the first year," which is what Trump wants, but if you all of a sudden start to manipulate or put mandates or try and control free markets, people will lose credit availability, and rates won't change long term. It's so competitive that the rates that are charged now take into account bad debt, the cost of funding all of the loyalty programs. It's a free market, so let the market do its thing. I don't like government, any government, ever manipulating markets. It never ends well. It always ends badly.

Kevin O'Leary aka Mr. Wonderful

38,778 次观看 • 7 个月前

An engineer at Block (formerly Square) has an AI agent watching his screen all day. The engineer will discuss a feature with a colleague on Slack. A few hours later, the agent has already built the feature and opened a PR. This isn't some distant AI future. It's happening now, thanks to the work Block has done building their own internal (and open-source) AI agent called "Goose." I sat down with Dhanji Prasanna, CTO at Block, to understand how they're achieving what most companies are still trying to figure out. Engineers using Goose report saving 8-10 hours per week. Across the entire company—including support, legal, and risk teams—they're saving 20-25% of manual hours, which equates to over 100,000 hours per week (!!!). The most surprising finding: non-technical teams are the ones seeing the most productivity gains. Their enterprise risk management team built an entire self-service system, compressing weeks of work into hours. No waiting for Q2 roadmaps or internal apps teams. Dhanji walked me through their full transformation—from convincing Jack Dorsey with an "AI manifesto" to reorganizing from GMs to functional structure to shipping Goose as open source. The whole conversation is live now. Link in comments.

An engineer at Block (formerly Square) has an AI agent watching his screen all day. The engineer will discuss a feature with a colleague on Slack. A few hours later, the agent has already built the feature and opened a PR. This isn't some distant AI future. It's happening now, thanks to the work Block has done building their own internal (and open-source) AI agent called "Goose." I sat down with Dhanji Prasanna, CTO at Block, to understand how they're achieving what most companies are still trying to figure out. Engineers using Goose report saving 8-10 hours per week. Across the entire company—including support, legal, and risk teams—they're saving 20-25% of manual hours, which equates to over 100,000 hours per week (!!!). The most surprising finding: non-technical teams are the ones seeing the most productivity gains. Their enterprise risk management team built an entire self-service system, compressing weeks of work into hours. No waiting for Q2 roadmaps or internal apps teams. Dhanji walked me through their full transformation—from convincing Jack Dorsey with an "AI manifesto" to reorganizing from GMs to functional structure to shipping Goose as open source. The whole conversation is live now. Link in comments.

Lenny Rachitsky

503,125 次观看 • 10 个月前

John Carmack on the importance hard work: “For decades, I worked 60 hours a week” “I was never one of the programmers who would do all-nighters or work for 20 hours straight,” programming legend John Carmack begins when asked about his work routine. “My brain generally starts turning to mush after 12 hours or so. But hard work is really important, and for decades I would work 60 hours a week. I would work 10 hours a day, 6 days a week.” He continues: “I had a little thing in the back of my head where I was almost jealous of some of the programmers who would do these marathon sessions. Like Dave Taylor, one of the guys we had at id Software, would be one of those people who would fall asleep under his desk sometimes and all the classic hacker tropes about these things. Part of me was always a little bothered that wasn’t me. I wouldn’t program 20 hours straight because I’m falling apart and not being very effective after 12 hours . . . There are people who can work on 4 hours of sleep and continue to do good work, but there’s a lot of people who just fall apart. I always try to get 8 hours of sleep . . . you can work 100 hours a week and still get 8 hours of sleep if you prioritize things correctly. But I do believe in working hard.” John disagrees with the backlash against hard work and voices support for game developer’s comment that “40 hours a week is kind of a part-time job.” “If you’re doing what you think is important work that you’re passionate about, working more gets more done. It’s really not possible to argue with that if you’ve been around the people who work with that level of intensity.” He believes people who argue that you’re less productive if you work more than 40 hours a week are misinterpreting things: “Your marginal productivity for an hour after eight hours is less than one of your peak hours, but you’re not literally getting less done. There’s a point where you start breaking things and literally going backwards, but it’s not 8-12 hours.” John illustrates this point with a fictional example: “Imagine there’s an asteroid that’s going to crash into Earth and destroy all human life. Do you want Elon Musk and the people working at SpaceX building the interceptor that’s going to deflect the asteroid clocking out at 5pm because they’re going to do worse work if they work another couple hours? It seems absurd . . . It’s the truth: working longer gets more done.” Video source: Lex Fridman (Aug 2022)

John Carmack on the importance hard work: “For decades, I worked 60 hours a week” “I was never one of the programmers who would do all-nighters or work for 20 hours straight,” programming legend John Carmack begins when asked about his work routine. “My brain generally starts turning to mush after 12 hours or so. But hard work is really important, and for decades I would work 60 hours a week. I would work 10 hours a day, 6 days a week.” He continues: “I had a little thing in the back of my head where I was almost jealous of some of the programmers who would do these marathon sessions. Like Dave Taylor, one of the guys we had at id Software, would be one of those people who would fall asleep under his desk sometimes and all the classic hacker tropes about these things. Part of me was always a little bothered that wasn’t me. I wouldn’t program 20 hours straight because I’m falling apart and not being very effective after 12 hours . . . There are people who can work on 4 hours of sleep and continue to do good work, but there’s a lot of people who just fall apart. I always try to get 8 hours of sleep . . . you can work 100 hours a week and still get 8 hours of sleep if you prioritize things correctly. But I do believe in working hard.” John disagrees with the backlash against hard work and voices support for game developer’s comment that “40 hours a week is kind of a part-time job.” “If you’re doing what you think is important work that you’re passionate about, working more gets more done. It’s really not possible to argue with that if you’ve been around the people who work with that level of intensity.” He believes people who argue that you’re less productive if you work more than 40 hours a week are misinterpreting things: “Your marginal productivity for an hour after eight hours is less than one of your peak hours, but you’re not literally getting less done. There’s a point where you start breaking things and literally going backwards, but it’s not 8-12 hours.” John illustrates this point with a fictional example: “Imagine there’s an asteroid that’s going to crash into Earth and destroy all human life. Do you want Elon Musk and the people working at SpaceX building the interceptor that’s going to deflect the asteroid clocking out at 5pm because they’re going to do worse work if they work another couple hours? It seems absurd . . . It’s the truth: working longer gets more done.” Video source: Lex Fridman (Aug 2022)

Startup Archive

240,279 次观看 • 8 个月前

Ken Griffin, founder of Citadel, the most profitable hedge fund in history, on the moment that left him "shocked and depressed" about AI: "one of our team members built an agentic AI system to recreate academic papers in finance." "we have a legion of young masters and PhDs doing this work. it takes roughly six to eight weeks to reproduce a paper." "my colleague built an AI system that would read a paper, reproduce it, verify the results, produce the results on out of sample data — in about two to three hours per paper." "this is not just a white collar job. this is a master's or PhD-level job. six weeks of work turned into two to three hours." "and then OpenAI just solved a math problem that no one had solved for eighty years." "competitive moats are being filled in at lightning speed." the founder of Citadel watching PhD-level work get compressed from six weeks to two hours. and his response wasn't to cut headcount, it was "i will take every single productivity gain i can get because with the talented people we have, we just have more to go after."

Ken Griffin, founder of Citadel, the most profitable hedge fund in history, on the moment that left him "shocked and depressed" about AI: "one of our team members built an agentic AI system to recreate academic papers in finance." "we have a legion of young masters and PhDs doing this work. it takes roughly six to eight weeks to reproduce a paper." "my colleague built an AI system that would read a paper, reproduce it, verify the results, produce the results on out of sample data — in about two to three hours per paper." "this is not just a white collar job. this is a master's or PhD-level job. six weeks of work turned into two to three hours." "and then OpenAI just solved a math problem that no one had solved for eighty years." "competitive moats are being filled in at lightning speed." the founder of Citadel watching PhD-level work get compressed from six weeks to two hours. and his response wasn't to cut headcount, it was "i will take every single productivity gain i can get because with the talented people we have, we just have more to go after."

Goshawk Trades

184,227 次观看 • 1 个月前

50% of my consulting work right now is helping companies use open-source models at scale. Everyone knows how to use an open-source LLM on their computers, but it's really hard to do this at scale for thousands of users. Here is how this plays out: 1. A team builds a prototype using DeepSeek. 2. Everything looks good. It works! 3. They follow an online guide to deploy the model online. 4. They ask 10 users to try the app. 5. Latency spikes everywhere. 6. The entire system halts. 7. They blame DeepSeek and try again using a new model. The problem is always with scaling inference, not the model. Here is one recommendation I give companies: Check out Nebius Token Factory if you don't want to ever think about deploying an open-source model again. This is a managed inference platform for deploying open-source LLMs at scale. This is not for prototypes or research experiments. This is for when you have a real application with real users. Three important notes about Token Factory: • You have complete control over how inference runs. • You have predictable tail latency (P99, not averages). • No surprise costs when you scale up. You can preplan your budget. Check it out here: Here are two codes you can use to get 100 hours of GPU usage on me: ymJLFa2ARYSKEdqb AdckcZaYjm7KqYY7 Thanks to the Nebius team for their continuous partnership.

50% of my consulting work right now is helping companies use open-source models at scale. Everyone knows how to use an open-source LLM on their computers, but it's really hard to do this at scale for thousands of users. Here is how this plays out: 1. A team builds a prototype using DeepSeek. 2. Everything looks good. It works! 3. They follow an online guide to deploy the model online. 4. They ask 10 users to try the app. 5. Latency spikes everywhere. 6. The entire system halts. 7. They blame DeepSeek and try again using a new model. The problem is always with scaling inference, not the model. Here is one recommendation I give companies: Check out Nebius Token Factory if you don't want to ever think about deploying an open-source model again. This is a managed inference platform for deploying open-source LLMs at scale. This is not for prototypes or research experiments. This is for when you have a real application with real users. Three important notes about Token Factory: • You have complete control over how inference runs. • You have predictable tail latency (P99, not averages). • No surprise costs when you scale up. You can preplan your budget. Check it out here: Here are two codes you can use to get 100 hours of GPU usage on me: ymJLFa2ARYSKEdqb AdckcZaYjm7KqYY7 Thanks to the Nebius team for their continuous partnership.

Santiago

48,443 次观看 • 7 个月前

I just built an open NotebookLM clone! Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙️ The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step! So by the end of this video, you'll learn how to: ↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs ↳ Store everything in a vector database for fast retrieval ↳ Add a memory layer that remembers conversations and preferences for a personalized experience ↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model The podcast generation feature is my favorite part! There's something powerful about turning written content into conversational audio that you can listen to while doing something else. The entire code is 100% open-source. I've shared a link in the replies! ____ Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this. Cheers! :)

I just built an open NotebookLM clone! Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙️ The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step! So by the end of this video, you'll learn how to: ↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs ↳ Store everything in a vector database for fast retrieval ↳ Add a memory layer that remembers conversations and preferences for a personalized experience ↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model The podcast generation feature is my favorite part! There's something powerful about turning written content into conversational audio that you can listen to while doing something else. The entire code is 100% open-source. I've shared a link in the replies! ____ Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this. Cheers! :)

Akshay 🚀

83,187 次观看 • 10 个月前

This woman left her car plugged into the charger over 10 hours too long. Her apartment complex charges $10 an hour if anybody leaves their cars plugged in once charged. I think there needs to be rules in place so others can enjoy the benefits of having a charger on site. I also feel there needs to be respect as well. When I briefly had an EV, what was nice about the app was that once my car was charged, it notified me that it was charged. That way I was able to go and move it out of the way so I wouldn’t be charged fees. While I think it’s fair to be charged a fee, I think what would be a great compromise for these apartment complexes is that they all have to have an app accessible for anybody who uses it. That way notifications can be used an a warning. After an allocated time if the car wasn’t moved, then they can start charging people an idling fee. That’s just my opinion, I believe in rules but I think there should be a little understanding as well since life happens quick for people.

This woman left her car plugged into the charger over 10 hours too long. Her apartment complex charges $10 an hour if anybody leaves their cars plugged in once charged. I think there needs to be rules in place so others can enjoy the benefits of having a charger on site. I also feel there needs to be respect as well. When I briefly had an EV, what was nice about the app was that once my car was charged, it notified me that it was charged. That way I was able to go and move it out of the way so I wouldn’t be charged fees. While I think it’s fair to be charged a fee, I think what would be a great compromise for these apartment complexes is that they all have to have an app accessible for anybody who uses it. That way notifications can be used an a warning. After an allocated time if the car wasn’t moved, then they can start charging people an idling fee. That’s just my opinion, I believe in rules but I think there should be a little understanding as well since life happens quick for people.

SonnyBoy🇺🇸

72,500 次观看 • 3 个月前

Elon Musk to people offended that he is a billionaire: “I don't even own a home.” Chris Anderson: “There are many other people out there who can't stand this world of billionaires. They are hugely offended by the notion that an individual can have the same wealth as say, a billion or more of the world's poorest people.” Elon: “I think there's some axiomatic flaws that are leading to that conclusion. For sure it would be very problematic if I was consuming billions of dollars a year in personal consumption, but that is not the case. In fact, I don't even own a home right now. I'm literally staying at friends places. If I travel to the Bay Area where most of Tesla engineering is, I basically rotate through friends spare bedrooms. I don't have a yacht, I really don't take vacations. So it's not as though that my personal consumption is high. The one exception is a plane, but if I don't use the plane then I have less hours to work.” Interview with Chris Anderson, TED, April 6, 2022

Elon Musk to people offended that he is a billionaire: “I don't even own a home.” Chris Anderson: “There are many other people out there who can't stand this world of billionaires. They are hugely offended by the notion that an individual can have the same wealth as say, a billion or more of the world's poorest people.” Elon: “I think there's some axiomatic flaws that are leading to that conclusion. For sure it would be very problematic if I was consuming billions of dollars a year in personal consumption, but that is not the case. In fact, I don't even own a home right now. I'm literally staying at friends places. If I travel to the Bay Area where most of Tesla engineering is, I basically rotate through friends spare bedrooms. I don't have a yacht, I really don't take vacations. So it's not as though that my personal consumption is high. The one exception is a plane, but if I don't use the plane then I have less hours to work.” Interview with Chris Anderson, TED, April 6, 2022

ELON CLIPS

224,105 次观看 • 8 个月前

ELON ON FSD: MOST PEOPLE DON’T UNDERSTAND WHAT’S ABOUT TO HAPPEN “Almost the entire fleet, which will pass 10 million vehicles next year, is capable of full autonomy. So, even without the Cybercab, we still actually have a gigantic fleet that is capable of being autonomous. And the thing about being an autonomous car is that it can be used much more than a car that is not autonomous. A typical passenger vehicle car will be used about 10 hours a week. If you have a car that's a robot car that can drive autonomously, it can now be used potentially for 80, maybe 100 hours a week. So, you could have a car that has 10 times the usefulness of a non-autonomous car, but it still costs the same. In fact, the fleet is already built, so the software update just enables that capability. Overnight you have an increase in usefulness of 10 million cars that suddenly become like 50 million cars or maybe 80 or 100 million cars of usefulness overnight. That's a profound thing. Nothing like that has ever happened before. There is no analogy. There's never been something where a software update increase the value of a gigantic asset base by a factor of like 500 to 1000%. So, it's very difficult for people in the stock market, especially those that look in the rearview mirror, which is most people, to imagine a future where suddenly a 10 million vehicle fleet has 5 to 10 times the usefulness. It's so profound and there's no comparison with anything in the past, so it doesn’t compute. But it will compute in the future.” Source: Tesla All-Hands, March 2025

ELON ON FSD: MOST PEOPLE DON’T UNDERSTAND WHAT’S ABOUT TO HAPPEN “Almost the entire fleet, which will pass 10 million vehicles next year, is capable of full autonomy. So, even without the Cybercab, we still actually have a gigantic fleet that is capable of being autonomous. And the thing about being an autonomous car is that it can be used much more than a car that is not autonomous. A typical passenger vehicle car will be used about 10 hours a week. If you have a car that's a robot car that can drive autonomously, it can now be used potentially for 80, maybe 100 hours a week. So, you could have a car that has 10 times the usefulness of a non-autonomous car, but it still costs the same. In fact, the fleet is already built, so the software update just enables that capability. Overnight you have an increase in usefulness of 10 million cars that suddenly become like 50 million cars or maybe 80 or 100 million cars of usefulness overnight. That's a profound thing. Nothing like that has ever happened before. There is no analogy. There's never been something where a software update increase the value of a gigantic asset base by a factor of like 500 to 1000%. So, it's very difficult for people in the stock market, especially those that look in the rearview mirror, which is most people, to imagine a future where suddenly a 10 million vehicle fleet has 5 to 10 times the usefulness. It's so profound and there's no comparison with anything in the past, so it doesn’t compute. But it will compute in the future.” Source: Tesla All-Hands, March 2025

Mario Nawfal

1,597,274 次观看 • 11 个月前

"Inference, if you look at it as a market, will be much, much bigger than cloud computing was pre-ChatGPT." Lightspeed’s Bucky Moore says inference is an underrated investment category in AI, and expects the market to break up into large, specialized platforms for each modality: "The GPU supply crunch that we're seeing right now is largely, as Dylan Patel has said on the show before, due to the fact that not only these consumer products, but also B2B products like Claude Code and Codex are just really taking off and creating insane demand for inference." "We're talking hundreds of billions in spend every year. And if that's true, I think there will be very, very large inference platforms built in each modality." "So there will be an inference platform for real-time video models, there will be an inference platform for open-source and custom language models, there will be an inference platform built specifically for long-running agents." "So I think we're just going to see that industry, which today looks like one industry, break up into many because of how big it is and how much room for specialization there is."

"Inference, if you look at it as a market, will be much, much bigger than cloud computing was pre-ChatGPT." Lightspeed’s Bucky Moore says inference is an underrated investment category in AI, and expects the market to break up into large, specialized platforms for each modality: "The GPU supply crunch that we're seeing right now is largely, as Dylan Patel has said on the show before, due to the fact that not only these consumer products, but also B2B products like Claude Code and Codex are just really taking off and creating insane demand for inference." "We're talking hundreds of billions in spend every year. And if that's true, I think there will be very, very large inference platforms built in each modality." "So there will be an inference platform for real-time video models, there will be an inference platform for open-source and custom language models, there will be an inference platform built specifically for long-running agents." "So I think we're just going to see that industry, which today looks like one industry, break up into many because of how big it is and how much room for specialization there is."

TBPN

33,278 次观看 • 5 个月前

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

Starter Story

15,356 次观看 • 4 个月前

holy shit, i built a better Cluely. introducing: Obscura, a better, more performant Cluely. Obscura helps you during your meeting and interview calls, in real time, with more context and a built-in agent to websearch in less than a second. it is completely INVISIBLE to your screen recorder, screen share and cannot be detected during your google calls or zoom calls no matter what. some functionalities: 1. toggle visibility: so that only you can see it 2. panic kill: if you wanna kill it in a second 3. screenshot ocr: for screenshot capabilities 4. context window: pass any context in .md or .docx file for it to read before your calls and Obscura will understand it 5. performative built-in agent: to search for anything in less than a second. it uses Deepgram for STT model and Anthropic / OpenAI api keys to generate answers. it takes $1 for 20 hours of your calls as compared to cluely's $20/mo or $75/mo plan (but that depends on tokens consumed on both models). releasing a .dmg for people for people to use. access will be given to people who share this with their friends. I will roll out a referral program so that people can share it with others. feel free to give some feedback. thanks to rahat for being on call with me and testing it.

holy shit, i built a better Cluely. introducing: Obscura, a better, more performant Cluely. Obscura helps you during your meeting and interview calls, in real time, with more context and a built-in agent to websearch in less than a second. it is completely INVISIBLE to your screen recorder, screen share and cannot be detected during your google calls or zoom calls no matter what. some functionalities: 1. toggle visibility: so that only you can see it 2. panic kill: if you wanna kill it in a second 3. screenshot ocr: for screenshot capabilities 4. context window: pass any context in .md or .docx file for it to read before your calls and Obscura will understand it 5. performative built-in agent: to search for anything in less than a second. it uses Deepgram for STT model and Anthropic / OpenAI api keys to generate answers. it takes $1 for 20 hours of your calls as compared to cluely's $20/mo or $75/mo plan (but that depends on tokens consumed on both models). releasing a .dmg for people for people to use. access will be given to people who share this with their friends. I will roll out a referral program so that people can share it with others. feel free to give some feedback. thanks to rahat for being on call with me and testing it.

Naruto11.eth

15,760 次观看 • 5 个月前