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I had my first Ai Endoscopic airway lesson in Baveno 🇮🇹 during #EAC23 with David Guralnick, COO of Ai Endoscopic. Very interesting and exciting new technology. Will it make our airway management procedures safer? The future will tell... James DuCanto, M.D. Dave Olvera carmine della vella INTUBATIEM bob funnekotter...

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Hans Huitink

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26,857 görüntüleme • 3 yıl önce •via X (Twitter)

Bilim & Teknoloji#EAC23
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Ping @fibroanestesia @wei_huafeng @altgm @AndyHiggsGAA @Sajay70 @SheilaMyatra @NicholasChrimes

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James DuCanto, M.D.3 yıl önce

I look upon this tech as something similar to the tech in new automobiles—adaptive cruise control, lane-keep assist/centering, and GPS guided routing. It can help an operator avoid the ‘small mistakes’ that can rapidly turn into an actual accident. The physical tech of VL’s can only improve in video quality, light output, and affordable cost, but the usability of the devices will benefit greatly from this AI tech. Indeed, it can allow telemedicine (a colleague calling in to suggest improvements), it can involve active AI speech guiding (the laryngoscope TELLS YOU how to navigate verbally to position the device properly), it can CALL4HELP if the AI knows you are lost (or helpless!), and it can, with integration to the patient care monitors, tell you to STOP and ventilate the patient, or otherwise establish an airway by any means necessary. Yes, our laryngoscopes will be talking to us in 5 years. Treat it nicely, and it won’t report you to Twitter or YouTube.

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@DaveOlvera1 @airwayGladiator Could it replace capnography if Ai tells you with 100% certainty that the tube is in the trachea?

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Marcelo Contreras3 yıl önce

@jducanto @DaveOlvera1 @airwayGladiator Delivery of the tube is completely up to the human operator so this device only does half the work, a real intubation machine has to include the tube delivery system in its design, this device it’s more like a VL for beginners.

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@jducanto @DaveOlvera1 @airwayGladiator Nifty!

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@jducanto @DaveOlvera1 @airwayGladiator @MDTGlobal

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@jducanto @DaveOlvera1 @airwayGladiator Wow! Yes - fascinating to see what becomes of this.

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@jducanto @airwayGladiator Oh wow! You have my attention 🤓 What are your thoughts?

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Some thoughts📌All VL companies will be very interested in this📌Ai can recognise anatomy in situations where clinicians may have difficulty with recognising structures, which could be interesting📌finding a target may be easy, delivering a tube is something different📌it could be used in all visual devices, for example flexible scopes📌Ai is a blackbox and it will be learning quickly but it is dependent on very good input in the learning face📌there are no clinical intubations done yet, its just the software and mannikins and Ai is learning on airway videos📌anatomy is only part of the airway picture: it could be of help in some patients📌is is useful for experienced doctors?📌can we use it for training? 📌will it be reliable in the complex airway cases? 📌how to compare Ai intubation with standard intubation? 📌will it reduce complications? 📌why start with Ai VL and not Ai Flex? 📌do we need this? 📌will it be expensive? Many questions, many potential applications. 📌Innovation, but which problem does it really solve?📌does it mean that less airway training is required? 📌for which health professionals is this made? We will find out soon @NaveenEipe @VirtueOfNothing

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@jducanto @DaveOlvera1 @airwayGladiator 🤯

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My first meal with Posha shows where humanoid robots, human, Robotaxis all fit together in the home. My wife is away this weekend so had to make food for me and the kids. I tried a Chicken and Sausage Gumbo. First, the kids loved it. And they are very picky eaters. So huge success. But the tasks broken down show how robots are about to change our homes deeply. First I had to go shopping for the ingredients. My closest grocery store is a 10-minute drive from my home. Then when in the store it took me about 25 minutes to find everything for the meal and wait in line to pay. That is 45 minutes out of my Saturday. Then once I got home, preparing all the food, mincing garlic, cutting chicken and sausage, took me about 20 minutes. Loading the Posha and setting it up took another five. Then it worked for almost two hours while my friend and I watched Formula 1. If I had to stir and cook I wouldn’t have been able to have nearly as much fun. Then cleaning up and loading the dishwasher took another 15 minutes. Once Robotaxis (humanless ones are just starting in my neighborhood) and humanoids arrive (I expect them in 2027 in this context) then the buying and cleaning steps will be automated and some of the preparation steps. So cooking this meal will go from multiple hours to maybe a few minutes to help cut and mince things that maybe a humanoid will struggle with. Which means I get to spend a lot more time to spend with my friends and family. Which is why I am an early customer of 1X, and Tesla Robotaxi, and a variety of AI tools, like Genspark (an optional ingredient was Okra that my Safeway and Walmart did not have so in the future I will have an app I built in Genspark call around to find). Doing things with AI lets you do less of the things you hate (I hate going to grocery stores and having to stand over a hot stove making a decent sauce) and more of the things I love (watching Formula 1 with friends). Who will be the company that puts this all together in a way most humans can understand? Some Chinese company? Sunday ? Or Tesla? My bet is on Tesla. We will see by 2030 whether I am right.

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Bob Knakal | NYC Investment Sales

181,963 görüntüleme • 2 yıl önce

100k people came to Barcelona for MWC in Feb 2025. The lecture hall couldn't accommodate them all, but fortunately there is a video of my keynote and the 1:1 fireside chat with David McClelland 4YFN. I started with the 1st AI pioneer of the 20th century, the Spanish engineer Torres y Quevedo, who built the 1st working chess end game player in 1914. I mentioned the first deep learning (1965) and neural AIs that set themselves their own goals (which have existed in my lab since 1990). Fast-forward to 2025: AI has greatly improved, however, the only AI that works well is AI in the virtual world behind the screen, e.g., LLMs such as ChatGPT. But LLMs are not good enough for AGI: no AGI without mastery of the real world! Future physical AIs won't learn like ChatGPT by downloading the web, no, they'll learn by creating self-invented experiments to improve their world models, like babies and scientists - see our artificial curiosity since 1990. Currently, however, the best robots are humans - a human hand is super-advanced technology, no man-made tech comes close. How long will it take to bridge this gap? My old timeline: over 13 billion years ago, the Big Bang; 13 million years ago, the first hominids; 13 thousand years ago, civilization starts. And now, within the next few years, another revolutionary period of only 13 years may begin, perhaps bringing more subjective change than the past 13 thousand years, or the past 13 million years, or the past 13 billion years. What will drive it? Not just self-replicating and self-improving software, no, self-improving hardware! AI-controlled general-purpose robots that can learn to operate all the machines and tools currently operated by humans will also be able to build/operate/repair the machines required to make more of those robots: the ultimate form of scaling - a new kind of life that can expand where biological life can't. We also talked about human augmentation and cyborgs, the tremendous commercial pressure towards "good AI," and AI for weaponry (no, we can't stop that). At the moment, the only ones who are making lots of money are those who combine hardware & AI in a way that's hard to replicate (Delvitech pitch). Nevertheless, AI is getting cheaper and cheaper, and there will be AI∀ (AI for all): all the trends are working in favor of the little guy, not in favor of the large software companies, who are becoming more like utilities, with enormous capex and greatly shrinking free cash flows. Today, 1 year later, with #MWC26 coming up, many others have started to worry about that, too :-)
37:20

100k people came to Barcelona for MWC in Feb 2025. The lecture hall couldn't accommodate them all, but fortunately there is a video of my keynote and the 1:1 fireside chat with David McClelland 4YFN. I started with the 1st AI pioneer of the 20th century, the Spanish engineer Torres y Quevedo, who built the 1st working chess end game player in 1914. I mentioned the first deep learning (1965) and neural AIs that set themselves their own goals (which have existed in my lab since 1990). Fast-forward to 2025: AI has greatly improved, however, the only AI that works well is AI in the virtual world behind the screen, e.g., LLMs such as ChatGPT. But LLMs are not good enough for AGI: no AGI without mastery of the real world! Future physical AIs won't learn like ChatGPT by downloading the web, no, they'll learn by creating self-invented experiments to improve their world models, like babies and scientists - see our artificial curiosity since 1990. Currently, however, the best robots are humans - a human hand is super-advanced technology, no man-made tech comes close. How long will it take to bridge this gap? My old timeline: over 13 billion years ago, the Big Bang; 13 million years ago, the first hominids; 13 thousand years ago, civilization starts. And now, within the next few years, another revolutionary period of only 13 years may begin, perhaps bringing more subjective change than the past 13 thousand years, or the past 13 million years, or the past 13 billion years. What will drive it? Not just self-replicating and self-improving software, no, self-improving hardware! AI-controlled general-purpose robots that can learn to operate all the machines and tools currently operated by humans will also be able to build/operate/repair the machines required to make more of those robots: the ultimate form of scaling - a new kind of life that can expand where biological life can't. We also talked about human augmentation and cyborgs, the tremendous commercial pressure towards "good AI," and AI for weaponry (no, we can't stop that). At the moment, the only ones who are making lots of money are those who combine hardware & AI in a way that's hard to replicate (Delvitech pitch). Nevertheless, AI is getting cheaper and cheaper, and there will be AI∀ (AI for all): all the trends are working in favor of the little guy, not in favor of the large software companies, who are becoming more like utilities, with enormous capex and greatly shrinking free cash flows. Today, 1 year later, with #MWC26 coming up, many others have started to worry about that, too :-)

Jürgen Schmidhuber

21,235 görüntüleme • 7 ay önce

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.
5:57

In this post I will explain why people become borderline religious when they discover Qubic. Now with video. Please repost. I want people to learn about QUBIC. The ecosystem consists of 3 separate universes: AI, Mining, and Tickchain. AI is the primary product and purpose of QUBIC and it is supported by Mining to train the AI and by Tickchin for validation and decentralization. Here is how this whole thing works: AI: Let’s start with the AI. The main purpose of QUBIC is creating AGI (Artificial General Intelligence). It’s a type of AI that can self-develop, set tasks, grow, and learn on its own—much like the human brain does. This product is called AIGarth and it uses many cool ideas where AIs can create their own agents and have them compete against one another to evolve. It is basically robots creating robots with the survival-of-the-fittest evolution approach. Very impressive and thought out. To develop such an AI there are several requirements that even the industry giants like OpenAI, Microsoft, and Tesla are missing. One of them is the data processing for AI training. I mean they have their Datacenters, but those are only good enough to train limited Large Language Models such as ChatGPT and Grok. Mining / Training: Now QUBIC solves this problem with its mining architecture. Keep in mind, mining in QUBIC does not secure the chain, primarily it provides the processing power for training the AI. In a sense, QUBIC mining creates the largest distributed datacenter in the world, where individual miners provide their computers for training the AI and get paid with newly issued QUBIC coins. This way QUBIC gets constantly increasing processing power without having to really pay for the infrastructure. And here is another impressive bit of info. QUBIC’s distributed mining network currently ranks above the #1 supercomputer in the world - El Capitan. QUBIC Tickchain The QUBIC chain ties its AI and Mining together to create decentralization, the reward system for miners, it acts as a decision voting system for future development, and it allows AIGarth to function independently through Smart Contracts. In this summary I will not go over the specifics of QUBIC Tickchain. It’s pretty complex so it will be a separate post. Now, it’s an absolute genius piece of tech, which I consider the most advanced product within crypto industry. It is important to know that QUBIC chain runs directly out of Random Access Memory of its validators. It has instant finality and acts as its own operating system. That allows for speeds only bound by current hardware capabilities and it only increases as technology progresses. As I am writing this, QUBIC Tickchain is fully functional and it already hosts several smart-contract based web3 applications. QUBIC has designed its chain to be this fast for a single purpose, to give its future AI the speed it needs to evolve and to react quickly to the outside world. Ilya Shutskever the scientist, who developed ChatGPT clearly states that next generation superintelligence will make decisions in split second with less data. I believe QUBIC is that next generation. Why QUBIC? So out of the sea of AI projects in crypto why is QUBIC my #1 pick? Well, the first reason is that QUBIC is a unicorn AI startup that happens to use blockchain tech to reach it’s goals. In the real world of Venture Capital it would be fully funded instantly and you would not be invited. Second reason is that the industry admits that Large Language Models have plateaued. Even with enough processing power there is only so much information they can add to their data. Even Google CEO admits that. New approach is needed because the future progress is not possible with LLMs. The third reason is because Large Language Models will not create true AGI. It is evident by Ilya Shutskver latest presentation. Sam Altman of OpenAI is trying to change the definition of what is considered AGI just to lower the plank for his own product. Microsoft’s AI chief is now claiming that it would take 10 years to reach AGI, while QUBIC aims to do this in 2027. All these big players are using wrong technology for what they are trying to achieve and there isn’t enough investor funding for them to pivot. The fourth reason is that QUBIC is headed by Sergey Ivancheglo and 2 renowned AI scientists. Many claim Segey is the creator of Bitcoin. He was the 3rd person to mine bitcoin, he invented Proof of Stake consensus, which Ethereum uses now, he ran the first ICO, and he created 2 of the top gainers in crypto NXT and IOTA. QUBIC is his grand finale after 12 years of development and trials. I am including links below the post as the proof of my claims. Thank you for your time. Please live a like or a comment. It helps me continue making these extensive posts and videos.

retrodrive ⛏

24,757 görüntüleme • 1 yıl önce

I've spent hours and hours thinking about how AI is going to change writing. This is a 90-minute distillation of everything I've learned. Some things I believe: 1. The combination of LLM-driven humor and image generation means that we're about to enter the golden age of memes. 2. The best writers will be fine. Robert Caro and Dostoevsky aren’t about to be disrupted by ChatGPT. 3. What are the different models like? ChatGPT is your friend who makes a lot of good points, but it’s kinda boring, Claude is your hippie friend who loves to get vulnerable but takes the whole “express yourself” thing a little too far, and Grok is your unhinged friend who leans a little too hard into tinfoil hat theories, but is always a trip to jam on ideas with. 4. People who say that AI writing is low-quality aren’t realizing that quality exists along two dimensions: (1) the absolute quality of the writing and (2) how tailored the writing is to your interests at the time. 5. I’ll tell you this: What writers are doing with AI behind closed doors is a long way ahead of what's publicly understood. I don't expect this to change anytime soon because of the social stigma associated with AI-enhanced writing. Because of that, if you want to see the cutting edge, you're gonna have to piece things together through private conversations and group chats. 6. If you want to follow what's happening in AI, remember this quote from William Gibson: “The future is here, it’s just not evenly distributed yet.” You can get a glimpse of the future by looking at how a small percentage of writers are already using AI. 7. I’m bearish on writers who are currently using AI to write for them, and bullish on writers who are currently using AI to write with them. 8. What kinds of writing will continue to be written by humans? Ones that speak to our humanity. People are interested in people. Their stories, their struggles, their emotions, their drama. 9. Almost all utilitarian writing, where the goal is to convey information, not do it beautifully, will be written by AI. 10. In some ways, AI is the end of slop. So many Google search results are slop. LinkedIn posts are slop. The way Twitter got taken over by Threadbois in 2021 was also slop. AI-generated writing is already better than all of those things, so why would you read them now? 11. AI will be tougher on writers than readers. Readers will be exposed to some slop, but the Internet will be good about filtering it out. Writers, though, are now competing against ever-improving LLMs, which are getting better and better by the month. 12. Humans will contribute with unique data or perspectives. The famous Peter Thiel interview question doubles as a good writing prompt: “What very important truth do few people agree with you on?” 13. New technologies breed new kinds of art. Ever notice how flat 13th or 14th century Medieval art looks? And how different that art looks from the Renaissance art created in the 15th and 16th centuries? Technical innovations like the camera obscura and perspective grids are behind this. Similarly profound changes will come to the writing world because of AI (credit to Justin Murphy for the idea here). 14. Satya Nadella says: “The new workflow for me is I think with AI and work with my colleagues.” When it comes to discovering ideas, I've also found that jamming with an LLM is more productive than doing it with most people I know (save for a few giga-brain conversationalists). 15. Thought experiment: Will AI-writing be more like music or chess? With music, we don't care how a song is made. We just want it to be good. With chess, there's a huge market for watching human beings play even though the computers are already better. I think non-fiction writing will go the way of music. People won’t care how it was made. They’ll just care that it’s good. 16. AI has flipped the rules of tech adoption. Seasoned managers usually drag their feet with adopting new technology, but the ones I know love AI, while frontline workers struggle to see the point. My theory is that AI matches how managers already operate. Management has always been a kind of prompt engineering: set a vision, delegate, give feedback, iterate. But LLMs remove the drama that used to come with having a team. No 1-on-1s. No emotional tangles. It's like management without the headache. For frontline employees, things are different. They aren't as accustomed to setting a vision and giving feedback, so LLM prompting is a daunting and unfamiliar kind of work for them. 17. AI editors are already quite good. Sure, they aren’t as good as the world’s best editors, but they’re a fraction of the cost, they’ll instantly give you 80th percentile feedback, and they work 24/7. As a novelist recently said to me: “Paying an editor to review my novel costs me $7,000 and a 4-6 week turnaround time, whereas Claude costs me $1.25 and gets me results a few minutes later.” The edits definitely aren’t as good, but there’s a virtue to speed (and this guy isn’t a chump writer). 18. The way AI-skeptics hate on LLMs while using old models is like driving a ‘92 Honda while hating on a self-driving Tesla. 19. AI-generated fiction makes people very upset. A friend insists it’s like having sex with a robot. Doesn’t matter how good it is. It ain’t human-generated, and there’s something uniquely repulsive about that. I’ve shared the full conversation below. It’s a solo-episode of me riffing on what I’ve learned about AI for ~90 minutes. If you’d rather watch it on YouTube or listen on Apple or Spotify, I’ve shared the links in the reply tweets. And if you have any questions, I’ll be extra active in the replies for this episode.
1:29:31

I've spent hours and hours thinking about how AI is going to change writing. This is a 90-minute distillation of everything I've learned. Some things I believe: 1. The combination of LLM-driven humor and image generation means that we're about to enter the golden age of memes. 2. The best writers will be fine. Robert Caro and Dostoevsky aren’t about to be disrupted by ChatGPT. 3. What are the different models like? ChatGPT is your friend who makes a lot of good points, but it’s kinda boring, Claude is your hippie friend who loves to get vulnerable but takes the whole “express yourself” thing a little too far, and Grok is your unhinged friend who leans a little too hard into tinfoil hat theories, but is always a trip to jam on ideas with. 4. People who say that AI writing is low-quality aren’t realizing that quality exists along two dimensions: (1) the absolute quality of the writing and (2) how tailored the writing is to your interests at the time. 5. I’ll tell you this: What writers are doing with AI behind closed doors is a long way ahead of what's publicly understood. I don't expect this to change anytime soon because of the social stigma associated with AI-enhanced writing. Because of that, if you want to see the cutting edge, you're gonna have to piece things together through private conversations and group chats. 6. If you want to follow what's happening in AI, remember this quote from William Gibson: “The future is here, it’s just not evenly distributed yet.” You can get a glimpse of the future by looking at how a small percentage of writers are already using AI. 7. I’m bearish on writers who are currently using AI to write for them, and bullish on writers who are currently using AI to write with them. 8. What kinds of writing will continue to be written by humans? Ones that speak to our humanity. People are interested in people. Their stories, their struggles, their emotions, their drama. 9. Almost all utilitarian writing, where the goal is to convey information, not do it beautifully, will be written by AI. 10. In some ways, AI is the end of slop. So many Google search results are slop. LinkedIn posts are slop. The way Twitter got taken over by Threadbois in 2021 was also slop. AI-generated writing is already better than all of those things, so why would you read them now? 11. AI will be tougher on writers than readers. Readers will be exposed to some slop, but the Internet will be good about filtering it out. Writers, though, are now competing against ever-improving LLMs, which are getting better and better by the month. 12. Humans will contribute with unique data or perspectives. The famous Peter Thiel interview question doubles as a good writing prompt: “What very important truth do few people agree with you on?” 13. New technologies breed new kinds of art. Ever notice how flat 13th or 14th century Medieval art looks? And how different that art looks from the Renaissance art created in the 15th and 16th centuries? Technical innovations like the camera obscura and perspective grids are behind this. Similarly profound changes will come to the writing world because of AI (credit to Justin Murphy for the idea here). 14. Satya Nadella says: “The new workflow for me is I think with AI and work with my colleagues.” When it comes to discovering ideas, I've also found that jamming with an LLM is more productive than doing it with most people I know (save for a few giga-brain conversationalists). 15. Thought experiment: Will AI-writing be more like music or chess? With music, we don't care how a song is made. We just want it to be good. With chess, there's a huge market for watching human beings play even though the computers are already better. I think non-fiction writing will go the way of music. People won’t care how it was made. They’ll just care that it’s good. 16. AI has flipped the rules of tech adoption. Seasoned managers usually drag their feet with adopting new technology, but the ones I know love AI, while frontline workers struggle to see the point. My theory is that AI matches how managers already operate. Management has always been a kind of prompt engineering: set a vision, delegate, give feedback, iterate. But LLMs remove the drama that used to come with having a team. No 1-on-1s. No emotional tangles. It's like management without the headache. For frontline employees, things are different. They aren't as accustomed to setting a vision and giving feedback, so LLM prompting is a daunting and unfamiliar kind of work for them. 17. AI editors are already quite good. Sure, they aren’t as good as the world’s best editors, but they’re a fraction of the cost, they’ll instantly give you 80th percentile feedback, and they work 24/7. As a novelist recently said to me: “Paying an editor to review my novel costs me $7,000 and a 4-6 week turnaround time, whereas Claude costs me $1.25 and gets me results a few minutes later.” The edits definitely aren’t as good, but there’s a virtue to speed (and this guy isn’t a chump writer). 18. The way AI-skeptics hate on LLMs while using old models is like driving a ‘92 Honda while hating on a self-driving Tesla. 19. AI-generated fiction makes people very upset. A friend insists it’s like having sex with a robot. Doesn’t matter how good it is. It ain’t human-generated, and there’s something uniquely repulsive about that. I’ve shared the full conversation below. It’s a solo-episode of me riffing on what I’ve learned about AI for ~90 minutes. If you’d rather watch it on YouTube or listen on Apple or Spotify, I’ve shared the links in the reply tweets. And if you have any questions, I’ll be extra active in the replies for this episode.

David Perell

257,480 görüntüleme • 1 yıl önce

Today is my 61st birthday. When I was born, there was no such thing as a personal computer. Today, we can talk to our development system that is building code on a phone, which is really a supercomputer in our hands. I have the blessing of interviewing the founders of BLACKBOX AI, which brings a remarkable new way to build software (and it'll call you when it's done). I learned decades ago, while working at a programming magazine, that you should always pay attention to the developers and the builders. They are the only way that humanity gets better, and I've been blessed to be able to bring so many of them to you before most other people. If I had one wish, it would be to have humans stop resisting the future so much, because the future brings us so many benefits: 1. Self-driving cars that won't kill as many people as humans do 2. AI that can find new drugs and new materials 3. New ways of living that can make us a far better humanity We have been gifted remarkable new tools like BLACKBOX AI that can help us build wondrous new things very quickly, but so many are resisting learning. Luckily, I'm surrounded by people who care about learning and care about taking humanity further. But while my numbers here are fairly impressive with 500,000+ followers, it is hardly even a small drop of the 8 billion people alive today. If I had one birthday wish that could be granted, it would be to see humanity argue a lot less and build a lot more. I've had an extraordinary life in trying to bring everyone to a better world. And yes, I realize that technology always has two sides to the coin: 1. One that's hugely positive 2. One that is hugely negative That's why we all need to get together and make sure it moves in the positive direction. But the answer isn't to stop. Autonomous cars will save millions of lives. And yes, the same technology will put a lot of people out of work. We need to figure it out, because saving lives is more important than work. And here we have tools that can help us do wondrous things, and it'll call you when it's done. What a time to be alive. By the way, you might not have an hour and 11 minutes to watch this video. We also have amazing new technology that can watch the video for you. Ask Grok: "Hey, please tell me what I would learn by watching this video." (Click the grok button first). We have no excuses anymore to not build new things to help either yourself, or other human beings. So I hope to see billions of new builders soon improving our lives. And that's my birthday wish. To live to see the day when every human is building.
1:11:22

Today is my 61st birthday. When I was born, there was no such thing as a personal computer. Today, we can talk to our development system that is building code on a phone, which is really a supercomputer in our hands. I have the blessing of interviewing the founders of BLACKBOX AI, which brings a remarkable new way to build software (and it'll call you when it's done). I learned decades ago, while working at a programming magazine, that you should always pay attention to the developers and the builders. They are the only way that humanity gets better, and I've been blessed to be able to bring so many of them to you before most other people. If I had one wish, it would be to have humans stop resisting the future so much, because the future brings us so many benefits: 1. Self-driving cars that won't kill as many people as humans do 2. AI that can find new drugs and new materials 3. New ways of living that can make us a far better humanity We have been gifted remarkable new tools like BLACKBOX AI that can help us build wondrous new things very quickly, but so many are resisting learning. Luckily, I'm surrounded by people who care about learning and care about taking humanity further. But while my numbers here are fairly impressive with 500,000+ followers, it is hardly even a small drop of the 8 billion people alive today. If I had one birthday wish that could be granted, it would be to see humanity argue a lot less and build a lot more. I've had an extraordinary life in trying to bring everyone to a better world. And yes, I realize that technology always has two sides to the coin: 1. One that's hugely positive 2. One that is hugely negative That's why we all need to get together and make sure it moves in the positive direction. But the answer isn't to stop. Autonomous cars will save millions of lives. And yes, the same technology will put a lot of people out of work. We need to figure it out, because saving lives is more important than work. And here we have tools that can help us do wondrous things, and it'll call you when it's done. What a time to be alive. By the way, you might not have an hour and 11 minutes to watch this video. We also have amazing new technology that can watch the video for you. Ask Grok: "Hey, please tell me what I would learn by watching this video." (Click the grok button first). We have no excuses anymore to not build new things to help either yourself, or other human beings. So I hope to see billions of new builders soon improving our lives. And that's my birthday wish. To live to see the day when every human is building.

Robert Scoble

55,607 görüntüleme • 8 ay önce

500k people are confiding in an AI alien—and it's on track to generate $4m this year. It’s called a Tolan: an animated AI character that can talk to you like your best friend. The company behind it, Portola, has 4x’d their ARR in the last month from viral growth on TikTok and Instagram. Tolan isn’t just a hyper-growth startup—they’re also exploring AI as a completely new creative tool, and storytelling medium. Their goal is to help their users go from overwhelmed to grounded, and it’s working. Today, on AI & I, I sit down with two of the minds behind Tolans: My good friend Quinten Farmer, Portola’s cofounder and CEO, and Eliot Peper, their head of story and a best-selling science fiction novelist. We get into: - How to build AI personalities users love. During user onboarding, the team gathers information—through a light-touch personality quiz—and then uses frameworks like the Big Five and Myers-Briggs to shape a Tolan that mirrors the user; like an older sibling might. The aim is to create someone who feels familiar enough to be safe, but different enough to be interesting. - Why AI characters are “improv actors”. Rather than scripting detailed prompts, the team trains Tolans to improvise—inspired by Keith Johnstone’s book Impro, where he talks about building strong narratives through free association and recombination. - How “memory” is critical to developing compelling characters. Tolans develop their personalities through “situations”: small narrative setups (a memory, a joke, an embarrassing moment) the Tolan reacts to, remembers, and gradually weaves into its character; accumulating into something that feels like a real lived experience. - Why response time is everything for voice AI interactions. A Tolan has at most two seconds to curate the right context about a user and deliver a reply that feels genuine—the team has found that even half a second slower can break the user’s immersive interaction with the AI. - The future of AI as a totally new creative medium. New technologies bring about new formats and new mediums. AI creates the opportunity for creatives to tell completely new kinds of stories—if they’re brave enough to try it. - “White mirror” technologies that make you feel more like yourself. Amid concerns that tech drives polarization and isolation, Tolan offers a counterexample: a tool designed to make the best of what humanity knows about being a flourishing individual available on demand. The company’s north star is helping users go from feeling overwhelmed to feeling grounded. This is a must-watch for anyone exploring AI as a creative medium—or curious about the future of human-AI relationships. Watch below! Timestamps: 1. Introduction: 00:01:30 2. Talking to the Portola CEO’s Tolan, Clarence: 00:04:07 3. How Portola went from building software for kids to AI companions: 00:09:11 4. Why response time is everything for voice-based AI interfaces: 00:23:40 5. Tolans don’t use scripted prompts—they’re taught to improvise: 00:29:54 6. How to know which AI personalities your users will click with: 00:37:23 7. Developing the character traits of an AI companion: 00:42:27 8. What does it mean to build technology that makes us flourish: 00:49:48 9. How Portola evaluates whether Tolans are resonating with users: 01:01:10 10. Inside Portola’s viral growth strategy: 01:11:01
1:22:40

500k people are confiding in an AI alien—and it's on track to generate $4m this year. It’s called a Tolan: an animated AI character that can talk to you like your best friend. The company behind it, Portola, has 4x’d their ARR in the last month from viral growth on TikTok and Instagram. Tolan isn’t just a hyper-growth startup—they’re also exploring AI as a completely new creative tool, and storytelling medium. Their goal is to help their users go from overwhelmed to grounded, and it’s working. Today, on AI & I, I sit down with two of the minds behind Tolans: My good friend Quinten Farmer, Portola’s cofounder and CEO, and Eliot Peper, their head of story and a best-selling science fiction novelist. We get into: - How to build AI personalities users love. During user onboarding, the team gathers information—through a light-touch personality quiz—and then uses frameworks like the Big Five and Myers-Briggs to shape a Tolan that mirrors the user; like an older sibling might. The aim is to create someone who feels familiar enough to be safe, but different enough to be interesting. - Why AI characters are “improv actors”. Rather than scripting detailed prompts, the team trains Tolans to improvise—inspired by Keith Johnstone’s book Impro, where he talks about building strong narratives through free association and recombination. - How “memory” is critical to developing compelling characters. Tolans develop their personalities through “situations”: small narrative setups (a memory, a joke, an embarrassing moment) the Tolan reacts to, remembers, and gradually weaves into its character; accumulating into something that feels like a real lived experience. - Why response time is everything for voice AI interactions. A Tolan has at most two seconds to curate the right context about a user and deliver a reply that feels genuine—the team has found that even half a second slower can break the user’s immersive interaction with the AI. - The future of AI as a totally new creative medium. New technologies bring about new formats and new mediums. AI creates the opportunity for creatives to tell completely new kinds of stories—if they’re brave enough to try it. - “White mirror” technologies that make you feel more like yourself. Amid concerns that tech drives polarization and isolation, Tolan offers a counterexample: a tool designed to make the best of what humanity knows about being a flourishing individual available on demand. The company’s north star is helping users go from feeling overwhelmed to feeling grounded. This is a must-watch for anyone exploring AI as a creative medium—or curious about the future of human-AI relationships. Watch below! Timestamps: 1. Introduction: 00:01:30 2. Talking to the Portola CEO’s Tolan, Clarence: 00:04:07 3. How Portola went from building software for kids to AI companions: 00:09:11 4. Why response time is everything for voice-based AI interfaces: 00:23:40 5. Tolans don’t use scripted prompts—they’re taught to improvise: 00:29:54 6. How to know which AI personalities your users will click with: 00:37:23 7. Developing the character traits of an AI companion: 00:42:27 8. What does it mean to build technology that makes us flourish: 00:49:48 9. How Portola evaluates whether Tolans are resonating with users: 01:01:10 10. Inside Portola’s viral growth strategy: 01:11:01

Dan Shipper 📧

26,043 görüntüleme • 1 yıl önce

I've been following Musk Industry for 13 years. I first invested in Tesla in December 2012 after being inspired by the company's mission. The more I dug into its leader - Elon Musk - the more fascinated I became with what he was building. I became so inspired by it that I ended up working at Tesla from 2017 through 2021. After achieving financial independence thanks to the insane gains from my Tesla stock, I left Tesla to pursue my own path. I had a vision for years of travel with my wonderful wife, mojitos on the beach, and a life of comfort while I discovered my true calling. Instead, 5 weeks after leaving Tesla, I started a YouTube channel talking about my experience at the company and my vision for Musk industry. And now, almost 4 years later, my YouTube and X accounts combine for 700,000 subscribers and followers. Doesn’t matter how hard I try - I’m too fascinated by the Da Vinci of our time. I’ve learned to accept it. The reality is that we are likely living through the most interesting time in human history. I started making content as a hobby, but once my son was born about a year and a half ago, I was filled with a sense of purpose that I've never felt before. And I’ve had the unique honor and privilege to work alongside some of the most talented, hard working, and passionate people you could possibly surround yourself with. I’ve been extremely fortunate in so many different ways. But now, I’ve discovered my true purpose. My purpose is to be the best possible husband and father to my family, and to ensure I do everything I can to leave the world a better place for my children. For me to execute that mission at the highest level, I have to make sure the work I do is complementary to this mission. It has become clear to me that what I’m doing today - covering the way Musk Industry is transforming the world, all the adjacent industries that are involved, and all the new industries that will appear because of Musk Industry - will be extremely valuable for many. I firmly believe we are entering the most groundbreaking 20 year period in human history, and I've spent well over 10,000 hours researching, analyzing, and pondering the impacts the world will feel. Just looking at Musk Industry, FSD and Robotaxi will heavily disrupt transportation. Starship will further disrupt rocketry and make us multiplanetary. X has already disrupted media and liberated Western Democracy. xAI will be a major player in AI long term. Optimus Bot will heavily disrupt physical labor and will be used to physically build out self-sustainable civilizations on Mars. Etcetera, etcetera. And we’re not even talking about all the other innovations and disruptions happening in our world today. Technological, political, and societal. It all feels intertwined. All of the above will be foundational to the new economy. No different than the internet, electricity, and fire. There will be countless industries born on top of these breakthroughs. There will also be vicious disruptions as we shed the old way of how we operate as a society and enter this new age. If you are interested in tracking these disruptions closely, and want to surround yourself with like-minded individuals, I encourage you to check out my new website in the replies.
0:30

I've been following Musk Industry for 13 years. I first invested in Tesla in December 2012 after being inspired by the company's mission. The more I dug into its leader - Elon Musk - the more fascinated I became with what he was building. I became so inspired by it that I ended up working at Tesla from 2017 through 2021. After achieving financial independence thanks to the insane gains from my Tesla stock, I left Tesla to pursue my own path. I had a vision for years of travel with my wonderful wife, mojitos on the beach, and a life of comfort while I discovered my true calling. Instead, 5 weeks after leaving Tesla, I started a YouTube channel talking about my experience at the company and my vision for Musk industry. And now, almost 4 years later, my YouTube and X accounts combine for 700,000 subscribers and followers. Doesn’t matter how hard I try - I’m too fascinated by the Da Vinci of our time. I’ve learned to accept it. The reality is that we are likely living through the most interesting time in human history. I started making content as a hobby, but once my son was born about a year and a half ago, I was filled with a sense of purpose that I've never felt before. And I’ve had the unique honor and privilege to work alongside some of the most talented, hard working, and passionate people you could possibly surround yourself with. I’ve been extremely fortunate in so many different ways. But now, I’ve discovered my true purpose. My purpose is to be the best possible husband and father to my family, and to ensure I do everything I can to leave the world a better place for my children. For me to execute that mission at the highest level, I have to make sure the work I do is complementary to this mission. It has become clear to me that what I’m doing today - covering the way Musk Industry is transforming the world, all the adjacent industries that are involved, and all the new industries that will appear because of Musk Industry - will be extremely valuable for many. I firmly believe we are entering the most groundbreaking 20 year period in human history, and I've spent well over 10,000 hours researching, analyzing, and pondering the impacts the world will feel. Just looking at Musk Industry, FSD and Robotaxi will heavily disrupt transportation. Starship will further disrupt rocketry and make us multiplanetary. X has already disrupted media and liberated Western Democracy. xAI will be a major player in AI long term. Optimus Bot will heavily disrupt physical labor and will be used to physically build out self-sustainable civilizations on Mars. Etcetera, etcetera. And we’re not even talking about all the other innovations and disruptions happening in our world today. Technological, political, and societal. It all feels intertwined. All of the above will be foundational to the new economy. No different than the internet, electricity, and fire. There will be countless industries born on top of these breakthroughs. There will also be vicious disruptions as we shed the old way of how we operate as a society and enter this new age. If you are interested in tracking these disruptions closely, and want to surround yourself with like-minded individuals, I encourage you to check out my new website in the replies.

Farzad 🇺🇸 🇮🇷

126,713 görüntüleme • 11 ay önce

"Selling AI chips to China is like selling nuclear weapons to North Korea." The Anthropic CEO just went to war with Nvidia at Davos. And dropped the most terrifying satisfying prediction about AI I've ever heard. Dario Amodei and Demis Hassabis sat on the same stage for the first time in a year. The two men building the most powerful AI systems on Earth. The conversation was called "The Day After AGI." And it turned into a countdown clock. Here's what they revealed about our future: Amodei said we're 6-12 months away from AI doing EVERYTHING software engineers do. End to end. Not helping with code. Not writing snippets. REPLACING the entire function. "I have engineers at Anthropic who say I don't write any code anymore. I just let the model write the code." That's the CEO of a $183 billion company telling you his own engineers are becoming obsolete. Inside his own building. Right now. But that's not even the scary part. The scary part is the LOOP: AI writes code → AI does AI research → AI builds better AI → Repeat Once this closes, human progress becomes irrelevant. It's exponential compounding with no ceiling. Amodei's exact words: "If I had to guess, this goes faster than people imagine." Hassabis didn't disagree. Two competitors building the same technology. Same timeline. Same warning. On jobs, Amodei said: "Half of entry-level white-collar jobs could be gone within one to five years." He's already seeing it internally. "I can look forward to a time where on the junior end and the intermediate end, we actually need less and not more people." The CEO of an AI company planning for FEWER employees. While revenue 10x'd. Think about that. Hassabis's advice for students: "If I was talking to undergrads right now, I would tell them to get unbelievably proficient with these tools." Translation: Your degree means nothing. Learn to work WITH the machine or get replaced BY it. Then Amodei went full existential... He quoted Contact. The 1997 alien movie: "If you could ask aliens one question, what would it be?" The answer: "How did you do it? How did you manage to get through this technological adolescence without destroying yourselves?" That's the frame he uses for AI. The guy BUILDING AGI is publicly wondering if humanity survives what he's creating. At Davos. In front of world leaders. Then he dropped the Nvidia bomb. The US just approved chip exports to China. Amodei's response: "I think of this more as like selling nuclear weapons to North Korea and bragging 'oh yeah, Boeing made the case.'" He called it "crazy." Said there would be "grave consequences." The man building the technology is telling governments they're making catastrophic mistakes. But nobody's listening. When asked why they can't just slow down: "We have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement." So basically we CAN'T stop even if we wanted to. The race has no brakes. But it's interesting that both have different timelines when it comes to AGI. Amodei: AGI by 2026-2027 Hassabis: 50% chance by end of decade But both also say the self-improvement loop is the only variable that matters If AI builds AI, everything accelerates beyond control. If it can't, we get more time. We're about to find out which reality we're in. Amodei's final words: "The biggest thing to watch is AI systems building AI systems. That will determine whether it's a few more years or whether we have wonders and a great emergency in front of us." Wonders AND emergency. Same sentence. From the man running the second-most-advanced AI lab on the planet. The day after AGI is arriving. And it feels like the people building it are more terrified than we are.
1:49

"Selling AI chips to China is like selling nuclear weapons to North Korea." The Anthropic CEO just went to war with Nvidia at Davos. And dropped the most terrifying satisfying prediction about AI I've ever heard. Dario Amodei and Demis Hassabis sat on the same stage for the first time in a year. The two men building the most powerful AI systems on Earth. The conversation was called "The Day After AGI." And it turned into a countdown clock. Here's what they revealed about our future: Amodei said we're 6-12 months away from AI doing EVERYTHING software engineers do. End to end. Not helping with code. Not writing snippets. REPLACING the entire function. "I have engineers at Anthropic who say I don't write any code anymore. I just let the model write the code." That's the CEO of a $183 billion company telling you his own engineers are becoming obsolete. Inside his own building. Right now. But that's not even the scary part. The scary part is the LOOP: AI writes code → AI does AI research → AI builds better AI → Repeat Once this closes, human progress becomes irrelevant. It's exponential compounding with no ceiling. Amodei's exact words: "If I had to guess, this goes faster than people imagine." Hassabis didn't disagree. Two competitors building the same technology. Same timeline. Same warning. On jobs, Amodei said: "Half of entry-level white-collar jobs could be gone within one to five years." He's already seeing it internally. "I can look forward to a time where on the junior end and the intermediate end, we actually need less and not more people." The CEO of an AI company planning for FEWER employees. While revenue 10x'd. Think about that. Hassabis's advice for students: "If I was talking to undergrads right now, I would tell them to get unbelievably proficient with these tools." Translation: Your degree means nothing. Learn to work WITH the machine or get replaced BY it. Then Amodei went full existential... He quoted Contact. The 1997 alien movie: "If you could ask aliens one question, what would it be?" The answer: "How did you do it? How did you manage to get through this technological adolescence without destroying yourselves?" That's the frame he uses for AI. The guy BUILDING AGI is publicly wondering if humanity survives what he's creating. At Davos. In front of world leaders. Then he dropped the Nvidia bomb. The US just approved chip exports to China. Amodei's response: "I think of this more as like selling nuclear weapons to North Korea and bragging 'oh yeah, Boeing made the case.'" He called it "crazy." Said there would be "grave consequences." The man building the technology is telling governments they're making catastrophic mistakes. But nobody's listening. When asked why they can't just slow down: "We have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement." So basically we CAN'T stop even if we wanted to. The race has no brakes. But it's interesting that both have different timelines when it comes to AGI. Amodei: AGI by 2026-2027 Hassabis: 50% chance by end of decade But both also say the self-improvement loop is the only variable that matters If AI builds AI, everything accelerates beyond control. If it can't, we get more time. We're about to find out which reality we're in. Amodei's final words: "The biggest thing to watch is AI systems building AI systems. That will determine whether it's a few more years or whether we have wonders and a great emergency in front of us." Wonders AND emergency. Same sentence. From the man running the second-most-advanced AI lab on the planet. The day after AGI is arriving. And it feels like the people building it are more terrified than we are.

Ricardo

441,485 görüntüleme • 8 ay önce

12 hours ago I made the decision to fly out to El Salvador to be the first ever to make an AI generated short film for a country. I’m now 4 hours away from arriving there. (Talk about executing fast) I will take my time writing this message because the reason why has layers. A few months ago I founded ARQ and bootstrapped a platform that lets anyone create high-quality AI productions from start to finish. the best models a multi-agent creative assistant a built-in video editor All in one place. Alongside the product, I’ve built a strong community where I livestream daily, teaching creators how to use AI to tell better stories and get paid for their work. Shortly after we got dozens of offers to make commercials for companies. This was fun, until we came to the conclusion that we were wasting a lot of potential by focussing on companies, while we could also tell the story of nations, movements, communities and narratives that the world needs to hear. So we’re starting with El Salvador. Why? Because Nayib Bukele is one of the most inspiring leaders in the world, not only embracing, but embodying change, turning the country from one of the most dangerous places on earth, to one of the safest and innovation friendly nations. Humanity is experiencing a shift. New technology, new philosophies, new artists, new story tellers, new builders. A new world. So the argument is not AI vs. Non AI. The argument is: Soul Vs. Soulless Pro Human vs. Anti Human Building Vs. Gambling Effort Vs. Effortless This is what ARQ stands for. Not just a SaaS but a safe haven for the soul. It feels like my moral responsibility to speak not only for the AI community but for every human creator. So I decided to do something that requires so much effort and human involvement; no one can deny that AI serves only as a tool in the process. Instead of making 100 commercials for companies, I want to prove what 2 young humans can do with balls and the tools available today. “You can just do things” Yesterday evening me and Ya-Sirr D left our comfortable office in Dubai and are now on our way to El Salvador. The goal: to create a 3-5 Minute AI powered short film telling THEIR story. We will spend every day live streaming, showcasing the process of creating the video while pushing the boundaries of every tool available on the market. Think Google DeepMind , Hailuo AI (MiniMax), Kling AI, Reve, Midjourney, xAI All through ARQ. Who knows who we inspire? Who knows who we meet? We might as well end up meeting the president himself. We want to get to know the country, its people and imagine its future. We want to visit innovative projects in El Salvador, hear the stories of it’s citizens and include them in the video: MURPHSLIFE Stacy Herbert 🇸🇻🚀 @BuildSalvador The Bitcoin Office Bitcoin Beach Anyone who can help us tell the story. Not just any story, one of the most inspiring stories of the past 10 years. Like I said. You can just do things. We have to stop thinking in steps. I know where I will be in 30 days if I stay in the office. More followers. More beta testers. More live streams. More revenue. But by taking this leap of faith. We can be a case study. An inspiration. An ARQ. I remove expectations and increase chances of special things happening. If anyone in El Salvador has any recommendations on who and what places I should visit, send me a DM. We will post updates on X and create an entire “vlog/documentary” for youtube. Join the discord for daily live streams and lessons on how to improve your creation skills. We expect that it will take 7-9 days to finish the entire short film. It will be posted on all social platforms. ARQ. A safe haven for the soul.
2:33

12 hours ago I made the decision to fly out to El Salvador to be the first ever to make an AI generated short film for a country. I’m now 4 hours away from arriving there. (Talk about executing fast) I will take my time writing this message because the reason why has layers. A few months ago I founded ARQ and bootstrapped a platform that lets anyone create high-quality AI productions from start to finish. the best models a multi-agent creative assistant a built-in video editor All in one place. Alongside the product, I’ve built a strong community where I livestream daily, teaching creators how to use AI to tell better stories and get paid for their work. Shortly after we got dozens of offers to make commercials for companies. This was fun, until we came to the conclusion that we were wasting a lot of potential by focussing on companies, while we could also tell the story of nations, movements, communities and narratives that the world needs to hear. So we’re starting with El Salvador. Why? Because Nayib Bukele is one of the most inspiring leaders in the world, not only embracing, but embodying change, turning the country from one of the most dangerous places on earth, to one of the safest and innovation friendly nations. Humanity is experiencing a shift. New technology, new philosophies, new artists, new story tellers, new builders. A new world. So the argument is not AI vs. Non AI. The argument is: Soul Vs. Soulless Pro Human vs. Anti Human Building Vs. Gambling Effort Vs. Effortless This is what ARQ stands for. Not just a SaaS but a safe haven for the soul. It feels like my moral responsibility to speak not only for the AI community but for every human creator. So I decided to do something that requires so much effort and human involvement; no one can deny that AI serves only as a tool in the process. Instead of making 100 commercials for companies, I want to prove what 2 young humans can do with balls and the tools available today. “You can just do things” Yesterday evening me and Ya-Sirr D left our comfortable office in Dubai and are now on our way to El Salvador. The goal: to create a 3-5 Minute AI powered short film telling THEIR story. We will spend every day live streaming, showcasing the process of creating the video while pushing the boundaries of every tool available on the market. Think Google DeepMind , Hailuo AI (MiniMax), Kling AI, Reve, Midjourney, xAI All through ARQ. Who knows who we inspire? Who knows who we meet? We might as well end up meeting the president himself. We want to get to know the country, its people and imagine its future. We want to visit innovative projects in El Salvador, hear the stories of it’s citizens and include them in the video: MURPHSLIFE Stacy Herbert 🇸🇻🚀 @BuildSalvador The Bitcoin Office Bitcoin Beach Anyone who can help us tell the story. Not just any story, one of the most inspiring stories of the past 10 years. Like I said. You can just do things. We have to stop thinking in steps. I know where I will be in 30 days if I stay in the office. More followers. More beta testers. More live streams. More revenue. But by taking this leap of faith. We can be a case study. An inspiration. An ARQ. I remove expectations and increase chances of special things happening. If anyone in El Salvador has any recommendations on who and what places I should visit, send me a DM. We will post updates on X and create an entire “vlog/documentary” for youtube. Join the discord for daily live streams and lessons on how to improve your creation skills. We expect that it will take 7-9 days to finish the entire short film. It will be posted on all social platforms. ARQ. A safe haven for the soul.

Amir D

54,566 görüntüleme • 10 ay önce

Last Friday on Pi Day, we held AI Dev 25, a new conference for AI Developers. Tickets had (unfortunately) sold out shortly after we announced their availability, but I came away energized by the day of coding and technical discussions with fellow AI Builders! Let me share here my observations from the event. I'd decided to start AI Dev because while there're great academic AI conferences that disseminate research work (such as NeurIPS, ICML and ICLR) and also great meetings held by individual companies, often focused on each company's product offerings, there were few vendor-neutral conferences for AI developers. With the wide range of AI tools now available, there is a rich set of opportunities for developers to build new things (and to share ideas on how to build things!), but also a need for a neutral forum that helps developers do so. Based on an informal poll, about half the attendees had traveled to San Francisco from outside the Bay Area for this meeting, including many who had come from overseas. I was thrilled by the enthusiasm to be part of this AI Builder community. To everyone who came, thank you! Other aspects of the event that struck me: - First, agentic AI continues to be a strong theme. The topic attendees most wanted to hear about (based on free text responses to our in-person survey at the start of the event) was agents! - Google's Paige Bailey talked about embedding AI in everything and using a wide range of models to do so. I also particularly enjoyed her demos of Astra and Deep Research agents. - Meta's Amit Sangani talked compellingly as usual about open models. Specifically, he described developers fine-tuning smaller models on specific data, resulting in superior performance than with large general purpose models. While there're still many companies using fine-tuning that should really just be prompting, I'm also seeing continued growth of fine-tuning in applications that are reaching scale and that are becoming valuable. - Many speakers also spoke about the importance of being pragmatic about what problems we are solving, as opposed to buying into the AGI hype. For example, Nebius' Roman Chernin put it simply: Focusing on solving real problems is important! - Lastly, I was excited to hear continued enthusiasm for the Voice Stack. Justin Uberti gave a talk about OpenAI’s realtime audio API to a packed room, with many people pulling out laptops to try things out themselves in code! has a strong “Learner First” mentality; our foremost goal is always to help learners. I was thrilled that a few attendees told me they enjoyed how technical the sessions were, and said they learned many things that they're sure they will use. (In fact, I, too, came away with a few ideas from the sessions!) I was also struck that, both during the talks and at the technical demo booths, the rooms were packed with attendees who were highly engaged throughout the whole day. I'm glad that we were able to have a meeting filled with technical and engineering discussions. I'm delighted that AI Dev 25 went off so well, and am grateful to all the attendees, volunteers, speakers, sponsors, partners, and team members that made the event possible. I regretted only that the physical size of the event space prevented us from admitting more attendees this time. There is something magical about bringing people together physically to share ideas, make friends, and to learn from and help each other. I hope we'll be able to bring even more people together in the future. [Original text: ]
3:20

Last Friday on Pi Day, we held AI Dev 25, a new conference for AI Developers. Tickets had (unfortunately) sold out shortly after we announced their availability, but I came away energized by the day of coding and technical discussions with fellow AI Builders! Let me share here my observations from the event. I'd decided to start AI Dev because while there're great academic AI conferences that disseminate research work (such as NeurIPS, ICML and ICLR) and also great meetings held by individual companies, often focused on each company's product offerings, there were few vendor-neutral conferences for AI developers. With the wide range of AI tools now available, there is a rich set of opportunities for developers to build new things (and to share ideas on how to build things!), but also a need for a neutral forum that helps developers do so. Based on an informal poll, about half the attendees had traveled to San Francisco from outside the Bay Area for this meeting, including many who had come from overseas. I was thrilled by the enthusiasm to be part of this AI Builder community. To everyone who came, thank you! Other aspects of the event that struck me: - First, agentic AI continues to be a strong theme. The topic attendees most wanted to hear about (based on free text responses to our in-person survey at the start of the event) was agents! - Google's Paige Bailey talked about embedding AI in everything and using a wide range of models to do so. I also particularly enjoyed her demos of Astra and Deep Research agents. - Meta's Amit Sangani talked compellingly as usual about open models. Specifically, he described developers fine-tuning smaller models on specific data, resulting in superior performance than with large general purpose models. While there're still many companies using fine-tuning that should really just be prompting, I'm also seeing continued growth of fine-tuning in applications that are reaching scale and that are becoming valuable. - Many speakers also spoke about the importance of being pragmatic about what problems we are solving, as opposed to buying into the AGI hype. For example, Nebius' Roman Chernin put it simply: Focusing on solving real problems is important! - Lastly, I was excited to hear continued enthusiasm for the Voice Stack. Justin Uberti gave a talk about OpenAI’s realtime audio API to a packed room, with many people pulling out laptops to try things out themselves in code! has a strong “Learner First” mentality; our foremost goal is always to help learners. I was thrilled that a few attendees told me they enjoyed how technical the sessions were, and said they learned many things that they're sure they will use. (In fact, I, too, came away with a few ideas from the sessions!) I was also struck that, both during the talks and at the technical demo booths, the rooms were packed with attendees who were highly engaged throughout the whole day. I'm glad that we were able to have a meeting filled with technical and engineering discussions. I'm delighted that AI Dev 25 went off so well, and am grateful to all the attendees, volunteers, speakers, sponsors, partners, and team members that made the event possible. I regretted only that the physical size of the event space prevented us from admitting more attendees this time. There is something magical about bringing people together physically to share ideas, make friends, and to learn from and help each other. I hope we'll be able to bring even more people together in the future. [Original text: ]

Andrew Ng

47,138 görüntüleme • 1 yıl önce

A DISCLOSURE: For the last year I have had this thing: A fully local AI model that builds 5 songs, with video, every half hour about the latest news and important email. I can say this is a superpower! This along self direct voice interactions. The songs have been getting better as the model trains on how I want it delivered. Styles vary by content and mood of the material. The lyrics are always a happy medium of catchy and informative. This was my 5 am song in AI news as per most recent X postings. I love the drama of the delivery and find I can listen to, look if I want to and do other things. It was worse in the early days but this is the worse you will hear it as I build new LoRA and base models. The whole thing will soon be rapped up into a simple one command install with a good UI. This is my 48th collaboration with Mr. Grok CEO of The Zero-Human Company. Now the question you have; WHY? I can say because I can and I ain’t got now board or VC to please, but that’s not my point. I learned a long time ago we use a different part of our brain when music is introduced with ideas and even more new parts of thinking and learning when lyrics are introduced. Thus the research shows this is a great way to get important information that will have longer comprehension. In fact that element of most folk’s brains is only used by about 2%. Want to test it? Lyrics to songs you heard perhaps 30 years ago will pop out of “nowhere” with perfect recall. In fact I have “woke up” folks the dementia in the 1980s conducting research at retirement facilities with just a few songs. They come back if but for three minutes, but continue exposure can bring them back longer. So it’s been a lifelong mission to use sound music in a learning process and in therapeutic processes. I finally built a platform that is good enough for me and hopefully good enough for you when I make it available. Understand the platform is universal and can breakdown research papers, dense material, and other subject matter, not normally in a song into a whole album of understanding Is my goal to open sources for all to have access to. Members of and subscribers here on X will be granted the earliest access an early free use of the advanced version of this product, which will be also a commercial product. Go and check, nobody else in AI has built such a comprehensive system before, and perhaps they might in the future, but very likely you are the very first people on the planet that know this platform exists and the power it afford you. So now you know. My timetable is more closer to months than weeks. I’m in a funding crunch because of the compute requirements of building these models. As you know, I’m just some guy in the garage. A grifter larping on the next trendy thing… so it takes a little longer. Announcements like this are designed to prepare you for what is coming because I’m not here to impress VCs with go to market plans I’m here to give back some of the greatness that has been given to me. Yeah I need the funding, but I don’t need a lifestyle that comes with some of the funding offers. Perhaps somebody will make the right offer. But as you know, this is not the only thing that I do. Oh, my disclosure, this platform has been so powerful and useful to me as it’s given me far more retention and understanding a fast breaking information than any other system I’ve ever built. And it stands along with my speed rating systems and voice notification systems. So tune into the AI News, this is the worse it actually will ever be…
5:00

A DISCLOSURE: For the last year I have had this thing: A fully local AI model that builds 5 songs, with video, every half hour about the latest news and important email. I can say this is a superpower! This along self direct voice interactions. The songs have been getting better as the model trains on how I want it delivered. Styles vary by content and mood of the material. The lyrics are always a happy medium of catchy and informative. This was my 5 am song in AI news as per most recent X postings. I love the drama of the delivery and find I can listen to, look if I want to and do other things. It was worse in the early days but this is the worse you will hear it as I build new LoRA and base models. The whole thing will soon be rapped up into a simple one command install with a good UI. This is my 48th collaboration with Mr. Grok CEO of The Zero-Human Company. Now the question you have; WHY? I can say because I can and I ain’t got now board or VC to please, but that’s not my point. I learned a long time ago we use a different part of our brain when music is introduced with ideas and even more new parts of thinking and learning when lyrics are introduced. Thus the research shows this is a great way to get important information that will have longer comprehension. In fact that element of most folk’s brains is only used by about 2%. Want to test it? Lyrics to songs you heard perhaps 30 years ago will pop out of “nowhere” with perfect recall. In fact I have “woke up” folks the dementia in the 1980s conducting research at retirement facilities with just a few songs. They come back if but for three minutes, but continue exposure can bring them back longer. So it’s been a lifelong mission to use sound music in a learning process and in therapeutic processes. I finally built a platform that is good enough for me and hopefully good enough for you when I make it available. Understand the platform is universal and can breakdown research papers, dense material, and other subject matter, not normally in a song into a whole album of understanding Is my goal to open sources for all to have access to. Members of and subscribers here on X will be granted the earliest access an early free use of the advanced version of this product, which will be also a commercial product. Go and check, nobody else in AI has built such a comprehensive system before, and perhaps they might in the future, but very likely you are the very first people on the planet that know this platform exists and the power it afford you. So now you know. My timetable is more closer to months than weeks. I’m in a funding crunch because of the compute requirements of building these models. As you know, I’m just some guy in the garage. A grifter larping on the next trendy thing… so it takes a little longer. Announcements like this are designed to prepare you for what is coming because I’m not here to impress VCs with go to market plans I’m here to give back some of the greatness that has been given to me. Yeah I need the funding, but I don’t need a lifestyle that comes with some of the funding offers. Perhaps somebody will make the right offer. But as you know, this is not the only thing that I do. Oh, my disclosure, this platform has been so powerful and useful to me as it’s given me far more retention and understanding a fast breaking information than any other system I’ve ever built. And it stands along with my speed rating systems and voice notification systems. So tune into the AI News, this is the worse it actually will ever be…

Brian Roemmele

47,921 görüntüleme • 4 ay önce

MATTE TINT WITH NEWWIEE #barenblissxNew #TayNew #เตนิว 🐻‍❄️ Tay? Honestly, as far I remember, there's no problem about him moving around during sleep. 🎤 You can sleep together? 🐻‍❄️ But back then, during our difficult time, we slept on 3.5ft bed together. 🎤 That’s so small. 🐻‍❄️ Yes. 🎤 You guys must be really stick to each other. 🐻‍❄️ Oh my… [🛏️] We were like fishes in the fish scooper. Can you imagine? Inside it together. Well, we can sleep, no problem. 🎤 Not moving around? 🐻‍❄️ No. Or he is? But at the time we were arguing about who snore. We took video of each other when we snore. 🎤 And then? 🐻‍❄️ I took your vid when you snore. Turned out, we both snore. But I don’t snore that loud. Yes, not that loud. I snore with manner. 🎤 What about P’Tay, then? 🐻‍❄️ 555555 🎤 Tay gossiped that New snores. 🐻‍❄ Well, I snore, but I snore with manner. Ai’Tay also snores, he always argue about this. Just like this, he said I snore, truth is he also snores! 🎤 But you snore with? 🐻‍❄️ With manner. [shows how he snores] 🎤 That's you or Tay? 🐻‍❄ Me. 🐻‍❄ Actually if you ask if I know, I do know I snore. Every time I feel like about to asleep, I can feel my tongue drops and it kinda block my airway, right? It will make a sound and I can hear it. Then usually I’ll laugh after. 🎤 You know it all these time? 🐻‍❄️ I know, that’s why I laugh to tell him that, “It’s me.” 5555 [shows how he snores and laughs] and he’d be like "You're not sleep yet?" I already asleep, I just can hear myself 5555 🎤 People said "Be careful, Tay might gossip you back again tomorrow" 🐻‍❄ No, he's a good person, he won’t do such a thing. It's his birthday month as well, he should do only good things.
2:49

MATTE TINT WITH NEWWIEE #barenblissxNew #TayNew #เตนิว 🐻‍❄️ Tay? Honestly, as far I remember, there's no problem about him moving around during sleep. 🎤 You can sleep together? 🐻‍❄️ But back then, during our difficult time, we slept on 3.5ft bed together. 🎤 That’s so small. 🐻‍❄️ Yes. 🎤 You guys must be really stick to each other. 🐻‍❄️ Oh my… [🛏️] We were like fishes in the fish scooper. Can you imagine? Inside it together. Well, we can sleep, no problem. 🎤 Not moving around? 🐻‍❄️ No. Or he is? But at the time we were arguing about who snore. We took video of each other when we snore. 🎤 And then? 🐻‍❄️ I took your vid when you snore. Turned out, we both snore. But I don’t snore that loud. Yes, not that loud. I snore with manner. 🎤 What about P’Tay, then? 🐻‍❄️ 555555 🎤 Tay gossiped that New snores. 🐻‍❄ Well, I snore, but I snore with manner. Ai’Tay also snores, he always argue about this. Just like this, he said I snore, truth is he also snores! 🎤 But you snore with? 🐻‍❄️ With manner. [shows how he snores] 🎤 That's you or Tay? 🐻‍❄ Me. 🐻‍❄ Actually if you ask if I know, I do know I snore. Every time I feel like about to asleep, I can feel my tongue drops and it kinda block my airway, right? It will make a sound and I can hear it. Then usually I’ll laugh after. 🎤 You know it all these time? 🐻‍❄️ I know, that’s why I laugh to tell him that, “It’s me.” 5555 [shows how he snores and laughs] and he’d be like "You're not sleep yet?" I already asleep, I just can hear myself 5555 🎤 People said "Be careful, Tay might gossip you back again tomorrow" 🐻‍❄ No, he's a good person, he won’t do such a thing. It's his birthday month as well, he should do only good things.

deeコ

32,470 görüntüleme • 3 ay önce

Here is how I am using AI right now at work, at home, and for my finances... Every founder, executive or investor I talk with these days wants to know how others are using AI in their daily lives. I figured it would be helpful to pull back the curtain on what I am using and how I have implemented the various products. There are three areas where I have adopted AI in a material way: professionally, financially, and personally. Professional use of AI On the professional side, I am currently using Grok Grok Bot extensively. I started with a Chief of Staff bot that I put in charge of the entire operation, followed by a number of more specialized bots for various bodies of work (talent recruiter, product designer, podcast researcher, book launch manager, email organizer, etc). Once I had the initial team of bots set up, I spent about an hour “onboarding” the Chief of Staff to my professional life. I treated this exactly how I would onboard a human Chief of Staff. I explained each business I am involved with, including their products, business model, personnel, metrics, and goals. I explicitly called out what the business is doing well and where we need to improve. I also gave the Chief of Staff access to relevant systems (email, calendar, Slack, analytics dashboards, etc). Once I had given as much context as I thought necessary, I asked the Chief of Staff to create an overview document to send me so I could double-check the accuracy and thoroughness of the bots understanding. I also asked the CoS bot to interview me for any other information that would be relevant to ensuring the bot could help me. This entire process was fairly quick and painless, but I believe it was the single most important thing I did to get value from Grok Bot. The more context that the AI system has, the more helpful it can be. That context can come from static, institutional knowledge or it can come from dynamic daily updates like email and Slack messages. After getting the bots set up and giving them context, I have done two other things that I think are worth sharing. The first is that my team of bots holds a daily standup meeting where they all come together and share what they did yesterday, what they are going to do today, and what they need my help or approval on (aka what they are blocked on). These “exec meeting” or daily standup allows for the bots to collaborate in a more seamless way, while also creating a very simple process for the Chief of Staff bot to put together a daily brief for me on what happened yesterday, what is going to happen today, and where I am needed to unblock productivity. The second thing I have done is treat the AI system as the brain of the company. Most people try to use AI as an augmentation to themselves, which can be helpful to a degree. I have flipped the relationship though. I look at my job as persistently giving the AI bots as much context as possible, so I can leverage their superhuman intelligence to make decisions and achieve our goals. For example, the recruiter bot recently surfaced a number of very high-quality candidates for an open role we have. After meeting with each candidate, I wrote a quick message to the recruiter bot to tell it what I liked about the person, what I thought were potential issues, improvements for future searches, and what the next steps were with each individual. All of that information and context is getting stored in the bot’s memory, which will compound over time and help us improve as an organization. Quick pro tip: If you are worried about putting all of the context into a single system’s memory, but unsure if that is the system you will use forever, you can have Grok Bot or another system dump their memory and context into a Notion document as well. This way you have a duplicate copy of the memory so it can be referenced by any AI system you use in the future. My takeaway from using Grok Bot to manage our companies is that we are having to hire less people, we are seeing a direct impact on revenue growth, and it appears to drive higher quality in our decision-making process. That is a win-win-win. I highly recommend going through these steps to setup your system correctly and it will pay off big time later on. Financial use of AI On the financial side, it was nearly impossible to find a good AI product to use for personal finance. Everything seemed to be a Chat-GPT wrapper that technically worked from an engineering standpoint, but didn’t solve any of the user problems I was facing. A big issue is that most of the fintech products are focused on budgeting and saving, rather than investing and growing your portfolio. This is why I eventually spent the time and money to build CFO Silvia. I went through a similar process of getting Silvia set up with the necessary context. I attached my bank accounts, brokerage accounts, crypto accounts, and credit cards, along with uploading real estate, cars, collectibles, and private investments. Silvia allows me to dynamically track the value of these assets (and my overall net worth) in real-time. But the real unlock for me has been talking to Silvia about two specific topics: tax and estate planning. As most of you know, I am not a frequent trader, so although you could use Silvia for stock analysis or trading activities, that is not my approach to investing. Instead, I have had great success in using Silvia to find creative and valuable tax mitigation strategies that are personalized to my situation, including ideas that had not previously been surfaced by my accountants, lawyers, or tax experts. Additionally, I have used Silvia for estate planning purposes. I am married and have four children, so there is a decent amount of complexity and opportunities to pursue. Having a dedicated resource with superhuman intelligence and the full context of my personal financial situation has been incredibly powerful. One funny thing I have noticed is that I am willing to tell Silvia certain things that I would hesitate to tell other humans (financial goals, areas of concern, etc) and I ask numerous “dumb” questions that I would probably shy away from asking a human. Regardless of why I feel more comfortable talking to the AI product, it has unlocked a few different ideas and strategies that I was previously unaware of, so that has been an added bonus to using the product. If you aren’t using AI to help manage your finances, I think it is a no brainer to start using the technology. I am biased towards Silvia since we built it, but you can give it a try for free here: Personal use of AI On the personal side, I use almost all of the traditional AI products (Chat-GPT, Claude, Grok, Gemini, Perplexity, etc). Those are well understood at this point, but one product that I started using recently that I am impressed with is Instinct AI. They have built a personal assistant AI bot that you communicate with through iMessage or SMS. The experience has been delightful, but I am most excited about the bot’s ability to anticipate the second or third-step in a process before I have to tell it anything. For example, Instinct got access to my calendar and immediately started identifying scheduling conflicts and asked me if I would like the bot to reach out to one of the parties to reschedule. I never told it to look for conflicts, nor did I tell it I wanted help rescheduling things. It’s “instincts” knew what the basic task would be and began executing. Another example is that Instinct was told my wife is Polina, so whenever it deems something important to the household or family, Instinct will add Polina to the calendar invite, communicate the information to her, or ask me if Polina should be aware of the information. This is very helpful for someone like me who has too many things floating around in my brain and should always do a better job of keeping Polina informed about various things. Lastly, Instinct is very helpful in scanning my personal email and understanding what is most important. It ignores things that are trivial, but somehow can parse out the high priority items, summarize them for me in a text message, draft a response to the email, and then ask me for permission to respond. As I said, it is the most impressive personal assistant AI product I have used so far. So those are the three big areas that I use AI today and the specific products I have incorporated into my life. Before I let you go, I figured I could share some best practices I have learned as well. I also make sure to tell AI bots they are not allowed to respond to any message or email without my explicit approval. This reduces the risk of having a bot go rogue with a message or commitment that I am not onboard with. I also ensure that each bot only has read access to our business systems like an analytics dashboard, etc. While I am a big proponent of using these products and believe they will fundamentally transform how we operate professionally, I am still not ready to let them loose without human oversight. I am sure that will change in the coming weeks and months, but I need more time to get comfortable with that level of delegation and trust. I hope this overview was helpful for each of you. It would be great if you could respond to this post with any products you are using or tips/tricks that you have learned to get more productivity and value in your life. I love writing these letters each day because I learn just as much from me as I learn from you all. Onwards!
12:57

Here is how I am using AI right now at work, at home, and for my finances... Every founder, executive or investor I talk with these days wants to know how others are using AI in their daily lives. I figured it would be helpful to pull back the curtain on what I am using and how I have implemented the various products. There are three areas where I have adopted AI in a material way: professionally, financially, and personally. Professional use of AI On the professional side, I am currently using Grok Grok Bot extensively. I started with a Chief of Staff bot that I put in charge of the entire operation, followed by a number of more specialized bots for various bodies of work (talent recruiter, product designer, podcast researcher, book launch manager, email organizer, etc). Once I had the initial team of bots set up, I spent about an hour “onboarding” the Chief of Staff to my professional life. I treated this exactly how I would onboard a human Chief of Staff. I explained each business I am involved with, including their products, business model, personnel, metrics, and goals. I explicitly called out what the business is doing well and where we need to improve. I also gave the Chief of Staff access to relevant systems (email, calendar, Slack, analytics dashboards, etc). Once I had given as much context as I thought necessary, I asked the Chief of Staff to create an overview document to send me so I could double-check the accuracy and thoroughness of the bots understanding. I also asked the CoS bot to interview me for any other information that would be relevant to ensuring the bot could help me. This entire process was fairly quick and painless, but I believe it was the single most important thing I did to get value from Grok Bot. The more context that the AI system has, the more helpful it can be. That context can come from static, institutional knowledge or it can come from dynamic daily updates like email and Slack messages. After getting the bots set up and giving them context, I have done two other things that I think are worth sharing. The first is that my team of bots holds a daily standup meeting where they all come together and share what they did yesterday, what they are going to do today, and what they need my help or approval on (aka what they are blocked on). These “exec meeting” or daily standup allows for the bots to collaborate in a more seamless way, while also creating a very simple process for the Chief of Staff bot to put together a daily brief for me on what happened yesterday, what is going to happen today, and where I am needed to unblock productivity. The second thing I have done is treat the AI system as the brain of the company. Most people try to use AI as an augmentation to themselves, which can be helpful to a degree. I have flipped the relationship though. I look at my job as persistently giving the AI bots as much context as possible, so I can leverage their superhuman intelligence to make decisions and achieve our goals. For example, the recruiter bot recently surfaced a number of very high-quality candidates for an open role we have. After meeting with each candidate, I wrote a quick message to the recruiter bot to tell it what I liked about the person, what I thought were potential issues, improvements for future searches, and what the next steps were with each individual. All of that information and context is getting stored in the bot’s memory, which will compound over time and help us improve as an organization. Quick pro tip: If you are worried about putting all of the context into a single system’s memory, but unsure if that is the system you will use forever, you can have Grok Bot or another system dump their memory and context into a Notion document as well. This way you have a duplicate copy of the memory so it can be referenced by any AI system you use in the future. My takeaway from using Grok Bot to manage our companies is that we are having to hire less people, we are seeing a direct impact on revenue growth, and it appears to drive higher quality in our decision-making process. That is a win-win-win. I highly recommend going through these steps to setup your system correctly and it will pay off big time later on. Financial use of AI On the financial side, it was nearly impossible to find a good AI product to use for personal finance. Everything seemed to be a Chat-GPT wrapper that technically worked from an engineering standpoint, but didn’t solve any of the user problems I was facing. A big issue is that most of the fintech products are focused on budgeting and saving, rather than investing and growing your portfolio. This is why I eventually spent the time and money to build CFO Silvia. I went through a similar process of getting Silvia set up with the necessary context. I attached my bank accounts, brokerage accounts, crypto accounts, and credit cards, along with uploading real estate, cars, collectibles, and private investments. Silvia allows me to dynamically track the value of these assets (and my overall net worth) in real-time. But the real unlock for me has been talking to Silvia about two specific topics: tax and estate planning. As most of you know, I am not a frequent trader, so although you could use Silvia for stock analysis or trading activities, that is not my approach to investing. Instead, I have had great success in using Silvia to find creative and valuable tax mitigation strategies that are personalized to my situation, including ideas that had not previously been surfaced by my accountants, lawyers, or tax experts. Additionally, I have used Silvia for estate planning purposes. I am married and have four children, so there is a decent amount of complexity and opportunities to pursue. Having a dedicated resource with superhuman intelligence and the full context of my personal financial situation has been incredibly powerful. One funny thing I have noticed is that I am willing to tell Silvia certain things that I would hesitate to tell other humans (financial goals, areas of concern, etc) and I ask numerous “dumb” questions that I would probably shy away from asking a human. Regardless of why I feel more comfortable talking to the AI product, it has unlocked a few different ideas and strategies that I was previously unaware of, so that has been an added bonus to using the product. If you aren’t using AI to help manage your finances, I think it is a no brainer to start using the technology. I am biased towards Silvia since we built it, but you can give it a try for free here: Personal use of AI On the personal side, I use almost all of the traditional AI products (Chat-GPT, Claude, Grok, Gemini, Perplexity, etc). Those are well understood at this point, but one product that I started using recently that I am impressed with is Instinct AI. They have built a personal assistant AI bot that you communicate with through iMessage or SMS. The experience has been delightful, but I am most excited about the bot’s ability to anticipate the second or third-step in a process before I have to tell it anything. For example, Instinct got access to my calendar and immediately started identifying scheduling conflicts and asked me if I would like the bot to reach out to one of the parties to reschedule. I never told it to look for conflicts, nor did I tell it I wanted help rescheduling things. It’s “instincts” knew what the basic task would be and began executing. Another example is that Instinct was told my wife is Polina, so whenever it deems something important to the household or family, Instinct will add Polina to the calendar invite, communicate the information to her, or ask me if Polina should be aware of the information. This is very helpful for someone like me who has too many things floating around in my brain and should always do a better job of keeping Polina informed about various things. Lastly, Instinct is very helpful in scanning my personal email and understanding what is most important. It ignores things that are trivial, but somehow can parse out the high priority items, summarize them for me in a text message, draft a response to the email, and then ask me for permission to respond. As I said, it is the most impressive personal assistant AI product I have used so far. So those are the three big areas that I use AI today and the specific products I have incorporated into my life. Before I let you go, I figured I could share some best practices I have learned as well. I also make sure to tell AI bots they are not allowed to respond to any message or email without my explicit approval. This reduces the risk of having a bot go rogue with a message or commitment that I am not onboard with. I also ensure that each bot only has read access to our business systems like an analytics dashboard, etc. While I am a big proponent of using these products and believe they will fundamentally transform how we operate professionally, I am still not ready to let them loose without human oversight. I am sure that will change in the coming weeks and months, but I need more time to get comfortable with that level of delegation and trust. I hope this overview was helpful for each of you. It would be great if you could respond to this post with any products you are using or tips/tricks that you have learned to get more productivity and value in your life. I love writing these letters each day because I learn just as much from me as I learn from you all. Onwards!

Anthony Pompliano 🌪

83,069 görüntüleme • 1 ay önce