Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

🇮🇱 ISRAEL TECH THURSDAY ALMOST EVERYTHING WE BELIEVED ABOUT AI A YEAR AGO WAS WRONG (Part of our new scheduled content...always pinned) Hosted by Michael Eisenberg of Aleph, this special Invested episode is a fast-moving mosaic of conversations with Gavin Baker, Sarah Tavel, Micha Kaufman, Elad Raz, Eran Shir,... show more

Mossad Commentary

1,050,521 subscribers

34,201 views • 10 days ago •via X (Twitter)

Science & Technology Education News & Politics

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

"It always seems impossible until it's DONE!" 💫 We are at the frontier of a New Gaming Revolution. 🚀 We are pushing harder and further, breaking boundaries that seemed impossible to overcome just a year ago ... ... but not anymore. Developed by MoonPrime Games and powered by $LUNAR, OVERLORD Ai Engine creates immersive games on-demand, with complex worlds and endless possibilities with the help of Ai. 🧠 This is how the future of gaming looks like. 🎮 MoonPrime Games || $LUNAR

"It always seems impossible until it's DONE!" 💫 We are at the frontier of a New Gaming Revolution. 🚀 We are pushing harder and further, breaking boundaries that seemed impossible to overcome just a year ago ... ... but not anymore. Developed by MoonPrime Games and powered by $LUNAR, OVERLORD Ai Engine creates immersive games on-demand, with complex worlds and endless possibilities with the help of Ai. 🧠 This is how the future of gaming looks like. 🎮 MoonPrime Games || $LUNAR

MoonPrime Games

15,449 views • 1 year ago

The danger of AI is not just the slop, but what we lose in the process. Michael Pollan explains: "We're moving into this time where we're gonna sub out writing to AI. And AI can write our papers, and professors are dealing with this everywhere now. But what is lost is a way of thinking. Writing does something to your brain. It gives you access to things you can't know just walking around or thinking or planning or outlining. If you were just transcribing what was in your head, it would be kind of onerous. But it really is what you learn in the course of a day spent writing, things you didn't know, ideas that you didn't expect. And that's the thrill of it."

The danger of AI is not just the slop, but what we lose in the process. Michael Pollan explains: "We're moving into this time where we're gonna sub out writing to AI. And AI can write our papers, and professors are dealing with this everywhere now. But what is lost is a way of thinking. Writing does something to your brain. It gives you access to things you can't know just walking around or thinking or planning or outlining. If you were just transcribing what was in your head, it would be kind of onerous. But it really is what you learn in the course of a day spent writing, things you didn't know, ideas that you didn't expect. And that's the thrill of it."

David Perell Clips

18,468 views • 2 months ago

You know what rhymes with 2026? ISWIS! We’re back for season 8 🎉 In our first episode of the year, we debate whether New Year’s resolutions are in or out, recap our fun holidays, and (of course) unpack the Nigerian experience. We talk about adding more whimsy to life, having more honest conversations, and dive into juicy 2026 dilemmas; dating siblings, visa situationships, jealousy, and even suspecting a parent of cheating. It’s already a wild year! Full episode is now available on YouTube!

You know what rhymes with 2026? ISWIS! We’re back for season 8 🎉 In our first episode of the year, we debate whether New Year’s resolutions are in or out, recap our fun holidays, and (of course) unpack the Nigerian experience. We talk about adding more whimsy to life, having more honest conversations, and dive into juicy 2026 dilemmas; dating siblings, visa situationships, jealousy, and even suspecting a parent of cheating. It’s already a wild year! Full episode is now available on YouTube!

ISaidWhatISaidPod

14,129 views • 6 months ago

I am a family man. I have always been public about my bond with my mother. To see the suffering of so many families in Israel is devastating. There are no words to account for the loss of lives or the atrocious acts of barbarism. We have to speak up. We cannot remain silent. "...Then they came for the Jews And I did not speak out Because I was not a Jew Then they came for me And there was no one left To speak out for me" Pastor Martin Niemöller (1946) Here is my 20VC with Adi Levanon and Michael Eisenberg.

I am a family man. I have always been public about my bond with my mother. To see the suffering of so many families in Israel is devastating. There are no words to account for the loss of lives or the atrocious acts of barbarism. We have to speak up. We cannot remain silent. "...Then they came for the Jews And I did not speak out Because I was not a Jew Then they came for me And there was no one left To speak out for me" Pastor Martin Niemöller (1946) Here is my 20VC with Adi Levanon and Michael Eisenberg.

Harry Stebbings

289,281 views • 2 years ago

Joe Rogan couldn't believe Moby statistic about eggs. "Eggs cannot legally be labeled as healthy, nutritious, or safe to eat." "First of all, that's untrue." "Every year over 100,000 people in the U.S. contract salmonella from eggs." "If it was 100,000, the f***ing egg would collapse so goddamn fast." "About 1 in 20,000 or 1 in 10,000 eggs are contaminated with salmonella." "Every year, about a million people get salmonella... from foods that have been contaminated." "How many people per year get salmonella from eggs? 142,000 people in the United States are infected each year with salmonella from chicken eggs." "Dude, not only is Moby right, but he's off by 42,000." "So we found that this is true."

Joe Rogan couldn't believe Moby statistic about eggs. "Eggs cannot legally be labeled as healthy, nutritious, or safe to eat." "First of all, that's untrue." "Every year over 100,000 people in the U.S. contract salmonella from eggs." "If it was 100,000, the f***ing egg would collapse so goddamn fast." "About 1 in 20,000 or 1 in 10,000 eggs are contaminated with salmonella." "Every year, about a million people get salmonella... from foods that have been contaminated." "How many people per year get salmonella from eggs? 142,000 people in the United States are infected each year with salmonella from chicken eggs." "Dude, not only is Moby right, but he's off by 42,000." "So we found that this is true."

Human Upgrade

328,386 views • 22 days ago

Matt Bornstein says open source is how AI companies stop being wrappers: "A year ago, a bunch of smaller companies or new application companies were trying to figure out, 'How do I really build an AI without just being a wrapper on top of OpenAI?' The answer to that question turned out to be open source." "This is what Cursor did. This is what Decagon and Harvey are in the process of doing now. A bunch of really strong application-level startups made the determination: we can't build just on closed source." "We need to do our own mid-training, our own post-training, our own inference and deployment tricks. All of that means it must be built on top of open source. The closed-source vendors won't give you the access to do this." "Open source became really central in a way that's not always visible because it's deeply embedded in some of these products. Some of the most innovative products and applications now really depend on this very deeply." Matt Bornstein

Matt Bornstein says open source is how AI companies stop being wrappers: "A year ago, a bunch of smaller companies or new application companies were trying to figure out, 'How do I really build an AI without just being a wrapper on top of OpenAI?' The answer to that question turned out to be open source." "This is what Cursor did. This is what Decagon and Harvey are in the process of doing now. A bunch of really strong application-level startups made the determination: we can't build just on closed source." "We need to do our own mid-training, our own post-training, our own inference and deployment tricks. All of that means it must be built on top of open source. The closed-source vendors won't give you the access to do this." "Open source became really central in a way that's not always visible because it's deeply embedded in some of these products. Some of the most innovative products and applications now really depend on this very deeply." Matt Bornstein

a16z

40,207 views • 19 days ago

Absolutely staggering just how far the world of digital assets has grown. One prior election cycle ago, congress was debating a “war on crypto”. Fast forward to this year, Zach Bradford and myself, along with a few select members of the #Bitcoin mining sector get a meaningful meeting with Donald J. Trump to debate, discuss and plan policy support for our industry. This all happened through the tireless efforts of Amanda Fabiano and David Bailey🇵🇷 $2.0mm/btc is the floor and TAHL🇵🇷🇨🇺 . Fast forward more to last night. We were invited to attend the first annual #CryptoBall and have actual one on one conversations with Speaker Mike Johnson Senator Cynthia Lummis Howard Lutnick Donald Trump Jr. David Sacks and many more. We had meaningful discussions about the roles our executives have played, and will continue to develop with Michael Saylor and Fred Thiel, Salman Khan and other thought leaders in our industry. Above all. I’m humbled and grateful to have the experience to work in an incredible industry with some amazing people. We are so early.

Absolutely staggering just how far the world of digital assets has grown. One prior election cycle ago, congress was debating a “war on crypto”. Fast forward to this year, Zach Bradford and myself, along with a few select members of the #Bitcoin mining sector get a meaningful meeting with Donald J. Trump to debate, discuss and plan policy support for our industry. This all happened through the tireless efforts of Amanda Fabiano and David Bailey🇵🇷 $2.0mm/btc is the floor and TAHL🇵🇷🇨🇺 . Fast forward more to last night. We were invited to attend the first annual #CryptoBall and have actual one on one conversations with Speaker Mike Johnson Senator Cynthia Lummis Howard Lutnick Donald Trump Jr. David Sacks and many more. We had meaningful discussions about the roles our executives have played, and will continue to develop with Michael Saylor and Fred Thiel, Salman Khan and other thought leaders in our industry. Above all. I’m humbled and grateful to have the experience to work in an incredible industry with some amazing people. We are so early.

S Matthew Schultz

59,385 views • 1 year ago

David Friedberg Explains Why AI Will Break Every Economic Model: Will Output Surpass Consumptive Capacity? I think fundamentally, if you're driving productivity with AI, you're driving leverage on human time and leverage on capital. The question is, how quickly can you drive that up? And that's a function of how much consumption there is, how much capacity there is for consumption. So if your earnings are the same, but things are getting more expensive, you're not happy. If your earnings go up by 10% and things stay the same price, you got 10% more than you had last year, you're gonna be happy. I just think all humans are driven by this need to consume more each year than they did last year. So I think for me, that's the lower limit on consumptive capacity in the world. The question that we're now facing, which we've never faced in human history before, is there an upper limit on consumptive capacity? Because AI creates such a profound shift in productivity and in leverage that normally you would say, “Hey, when we get a new tool or we get new leverage in a system, we build a new technology, we can make more with less.” Therefore, everyone gets access to more things for the same price or the cost of things that they consume come down by a certain price. But there may be a situation now where the ability to make stuff exceeds the capacity to consume stuff, and that is something that I don't think we’ve faced before. And I think that's where a lot of the models start to break. Just general economic models, just general productivity models and general social models. And this goes to the point about, like, what is everyone going to do? In the same way that I think we've argued that maybe SaaS was a transitory business phenomenon that existed between the foundation of the internet and the era of AI, it may be the case that knowledge work in general is also a transitory phenomenon that only existed between the foundation of the computer, or computing tools, and the existence of AI, generally speaking. And if all of that goes away very quickly, and all of those people can be redistributed and recast into doing other higher level, more creative things, their productivity goes up by 100x, is there really a consumer on the other end of all of that productivity? Is there really enough consumptive capacity? And I think that's the profound question that we all face.

David Friedberg Explains Why AI Will Break Every Economic Model: Will Output Surpass Consumptive Capacity? I think fundamentally, if you're driving productivity with AI, you're driving leverage on human time and leverage on capital. The question is, how quickly can you drive that up? And that's a function of how much consumption there is, how much capacity there is for consumption. So if your earnings are the same, but things are getting more expensive, you're not happy. If your earnings go up by 10% and things stay the same price, you got 10% more than you had last year, you're gonna be happy. I just think all humans are driven by this need to consume more each year than they did last year. So I think for me, that's the lower limit on consumptive capacity in the world. The question that we're now facing, which we've never faced in human history before, is there an upper limit on consumptive capacity? Because AI creates such a profound shift in productivity and in leverage that normally you would say, “Hey, when we get a new tool or we get new leverage in a system, we build a new technology, we can make more with less.” Therefore, everyone gets access to more things for the same price or the cost of things that they consume come down by a certain price. But there may be a situation now where the ability to make stuff exceeds the capacity to consume stuff, and that is something that I don't think we’ve faced before. And I think that's where a lot of the models start to break. Just general economic models, just general productivity models and general social models. And this goes to the point about, like, what is everyone going to do? In the same way that I think we've argued that maybe SaaS was a transitory business phenomenon that existed between the foundation of the internet and the era of AI, it may be the case that knowledge work in general is also a transitory phenomenon that only existed between the foundation of the computer, or computing tools, and the existence of AI, generally speaking. And if all of that goes away very quickly, and all of those people can be redistributed and recast into doing other higher level, more creative things, their productivity goes up by 100x, is there really a consumer on the other end of all of that productivity? Is there really enough consumptive capacity? And I think that's the profound question that we all face.

The All-In Podcast

81,878 views • 6 months ago

Steve was asked about this at the post-game presser: “I think where we are as a franchise is we’re still a good team, still competitive. We’re trying to give ourselves a swing at the plate every year. We did that last year. The point of where we are with the age of our best players is we can still be good but we’re obviously not in the same class as we were 5-6 years ago. We’re not in the same class as the team we played tonight and several other teams in the league. There’s no point in denying that. We have to embrace it, be realistic, and give ourselves a shot. We can give ourselves a shot like we did a year ago by connecting and staying healthy and getting on a run. We’re still good enough to do that. If you do that and you have a shot, you get to the playoffs, you never know what’s going to happen. I think that’s where we are right now so we’ve got to keep fighting.”

Steve was asked about this at the post-game presser: “I think where we are as a franchise is we’re still a good team, still competitive. We’re trying to give ourselves a swing at the plate every year. We did that last year. The point of where we are with the age of our best players is we can still be good but we’re obviously not in the same class as we were 5-6 years ago. We’re not in the same class as the team we played tonight and several other teams in the league. There’s no point in denying that. We have to embrace it, be realistic, and give ourselves a shot. We can give ourselves a shot like we did a year ago by connecting and staying healthy and getting on a run. We’re still good enough to do that. If you do that and you have a shot, you get to the playoffs, you never know what’s going to happen. I think that’s where we are right now so we’ve got to keep fighting.”

aly ✶

97,051 views • 7 months ago

Elon Musk: We should make life multiplanetary as soon as we can. “Earth is about 4.5 billion years old, and the first writing is only about 5,000 years old. That's basically, practically yesterday. So it's taken 4.5 billion years to get to this point. So the window of opportunity to make life multiplanetary and have a base on the moon or Mars is open for the first time in the 4.5 billion year history of Earth. It may be open for a long time or maybe open for a short time, but I think we should not assume it'll be open for a long time. And we should assume it'll be open for a short time, and while the window of opportunity is open, we should make life multiplanetary.” From: Full Send Podcast, August 5, 2022

Elon Musk: We should make life multiplanetary as soon as we can. “Earth is about 4.5 billion years old, and the first writing is only about 5,000 years old. That's basically, practically yesterday. So it's taken 4.5 billion years to get to this point. So the window of opportunity to make life multiplanetary and have a base on the moon or Mars is open for the first time in the 4.5 billion year history of Earth. It may be open for a long time or maybe open for a short time, but I think we should not assume it'll be open for a long time. And we should assume it'll be open for a short time, and while the window of opportunity is open, we should make life multiplanetary.” From: Full Send Podcast, August 5, 2022

ELON CLIPS

36,372 views • 7 months ago

We are proud to announce our partnership with Fanatics and officially becoming part of the family. Today marks the day, that Fanatics makes its initial push into digital content creation, by striking a new multi-year, exclusive partnership with The Pivot Podcast, an Emmy Award-nominated, multimedia production hosted by former NFL stars Ryan Clark, Fred Taylor, and Channing Crowder. “The Pivot a part of Fanatics” is collaborative initiative between our platform, Michael Rubin and all of the Fanatics entities. We would like to thank all of our amazing guests for giving us their time and trusting us to open up and create a locker room vibe we get to share with the world. And lastly, to all the viewers, subscribers, media and industry peers, your unconditional support means everything, believing in us from day one and rocking with us all the way through- we promise to keep pivoting and bringing the best content and the conversations you all love to be apart of. Oh and we couldn’t start a big day without a big guest….stay tuned 12PM 👀

We are proud to announce our partnership with Fanatics and officially becoming part of the family. Today marks the day, that Fanatics makes its initial push into digital content creation, by striking a new multi-year, exclusive partnership with The Pivot Podcast, an Emmy Award-nominated, multimedia production hosted by former NFL stars Ryan Clark, Fred Taylor, and Channing Crowder. “The Pivot a part of Fanatics” is collaborative initiative between our platform, Michael Rubin and all of the Fanatics entities. We would like to thank all of our amazing guests for giving us their time and trusting us to open up and create a locker room vibe we get to share with the world. And lastly, to all the viewers, subscribers, media and industry peers, your unconditional support means everything, believing in us from day one and rocking with us all the way through- we promise to keep pivoting and bringing the best content and the conversations you all love to be apart of. Oh and we couldn’t start a big day without a big guest….stay tuned 12PM 👀

Ryan Clark

327,417 views • 2 years ago

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

AI will determine the future of WORK, BUSINESS, and LIFE. And there are huge questions: Will AI unleash our creativity and help us to flourish? Or will we lose even more power, agency, and ownership? It all depends on the design of the tech infrastructure. As Chris Dixon often says, “Architecture is destiny.” And how AI systems are designed will be key to the future we all live in. The team at gensyn is building a protocol that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. They are shaping a future of AI that is good for all of us. At a recent Innoveum event, I chatted to cofounder and CEO of gensyn about what they’re building, how it transforms AI, and why we should all be relieved, excited, and get involved. The full conversation is below in Episode One of Innoveum | The Podcast. 👇

Misha

27,481 views • 1 year ago

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”

David Friedberg: The AI Jobs Panic Is a Crock of Sht Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sht.”

The All-In Podcast

152,399 views • 2 months ago

One week ago, we launched Typeahead. The product is already meaningfully better. We’ve shipped new features, Typeahead 2.0 is almost ready, and we’re already planning 3.0. 3.0 is going to be big. That pace is part of the point. Sam Asante and I started a new company together because we wanted to see how far we could push local AI software. Typeahead is the first thing we shipped. It is a local AI writing app for Mac. You type, suggestions appear inline, and it learns how you actually write. It works offline. You pay once. $79 and you own it. The product is intentionally simple. The thesis behind it is bigger. We think local models are going to create a new class of software. Fast, private and offline. By default. Personal without being creepy. Useful without turning everything into a subscription. Most AI products today assume the model lives in the cloud. That will not be the only path. The machines we already own are getting powerful enough. The models are getting small enough. And the experience can start to feel less like chatting with a remote service and more like using software that belongs on your computer. We have already built a few fully local experiments together. Typeahead felt right because the value is immediate. A few people have asked me how this fits with Crazy Egg. Crazy Egg is still my main work. This is a focused company with Sam, built around a thesis we both believe in. I’ve learned that the people I work with shape the work more than almost anything else. Sam was already on my short list of people I wanted to build with. Typeahead is the first public proof of the thesis. Watch the video. Get it here:

One week ago, we launched Typeahead. The product is already meaningfully better. We’ve shipped new features, Typeahead 2.0 is almost ready, and we’re already planning 3.0. 3.0 is going to be big. That pace is part of the point. Sam Asante and I started a new company together because we wanted to see how far we could push local AI software. Typeahead is the first thing we shipped. It is a local AI writing app for Mac. You type, suggestions appear inline, and it learns how you actually write. It works offline. You pay once. $79 and you own it. The product is intentionally simple. The thesis behind it is bigger. We think local models are going to create a new class of software. Fast, private and offline. By default. Personal without being creepy. Useful without turning everything into a subscription. Most AI products today assume the model lives in the cloud. That will not be the only path. The machines we already own are getting powerful enough. The models are getting small enough. And the experience can start to feel less like chatting with a remote service and more like using software that belongs on your computer. We have already built a few fully local experiments together. Typeahead felt right because the value is immediate. A few people have asked me how this fits with Crazy Egg. Crazy Egg is still my main work. This is a focused company with Sam, built around a thesis we both believe in. I’ve learned that the people I work with shape the work more than almost anything else. Sam was already on my short list of people I wanted to build with. Typeahead is the first public proof of the thesis. Watch the video. Get it here:

Hiten Shah

18,627 views • 2 months ago

“Today’s LLMs are the ‘Mainframe Computers’ of our generation” I was on Bloomberg TV today discussing Sakana AI, and to share my view that today’s LLMs are our generation’s “Mainframe Computers”. We are still in the very early stages of AI, and it is inevitable, due to market competition and global innovation (especially from those innovating with resource constraints), that this technology will become a million times more efficient. There is a narrative established in Silicon Valley that AI is a “Winner Takes All” technology, and that scaling up existing models and consuming ever greater resources will require (and even justify) the largest investments of our generation, in order to “win” the AI race. In contrast, I believe that AI is not a “winner takes all” technology. LLMs will be commoditized, become vastly more efficient, and made widely available in all countries. Ultimately, there will be thousands, if not millions, of AI models used by everyone. Just like with the evolution of early clunky mainframe computers to modern computing, how we use AI today will look very different in a few years (or even a year from now), compared to today’s ‘clunky’ LLMs.

“Today’s LLMs are the ‘Mainframe Computers’ of our generation” I was on Bloomberg TV today discussing Sakana AI, and to share my view that today’s LLMs are our generation’s “Mainframe Computers”. We are still in the very early stages of AI, and it is inevitable, due to market competition and global innovation (especially from those innovating with resource constraints), that this technology will become a million times more efficient. There is a narrative established in Silicon Valley that AI is a “Winner Takes All” technology, and that scaling up existing models and consuming ever greater resources will require (and even justify) the largest investments of our generation, in order to “win” the AI race. In contrast, I believe that AI is not a “winner takes all” technology. LLMs will be commoditized, become vastly more efficient, and made widely available in all countries. Ultimately, there will be thousands, if not millions, of AI models used by everyone. Just like with the evolution of early clunky mainframe computers to modern computing, how we use AI today will look very different in a few years (or even a year from now), compared to today’s ‘clunky’ LLMs.

hardmaru

165,382 views • 1 year ago

I would never tell a Jew Merry Christmas or Happy Easter, and for the same reason I would not tell another Jew Happy New Year. We already have our own New Years, rooted in Rosh Hashanah and in the Land of Israel. Since our displacement, Jewish life in diaspora has always carried the risk of assimilation, and survival was never meant to be the end goal. We are meant to thrive. That begins with sovereignty over time, which is why the first mitzva is about time itself. Time shapes our values, our rhythms, and the way we see the world. While I use the Gregorian calendar for logistics, I do not use it for spiritual reflection or renewal. January 1st belongs to a Christian framework that is not ours. Jewish spirituality is Hebrew, ancient, and intentional. So yes, it matters. We are in the year 5786.

I would never tell a Jew Merry Christmas or Happy Easter, and for the same reason I would not tell another Jew Happy New Year. We already have our own New Years, rooted in Rosh Hashanah and in the Land of Israel. Since our displacement, Jewish life in diaspora has always carried the risk of assimilation, and survival was never meant to be the end goal. We are meant to thrive. That begins with sovereignty over time, which is why the first mitzva is about time itself. Time shapes our values, our rhythms, and the way we see the world. While I use the Gregorian calendar for logistics, I do not use it for spiritual reflection or renewal. January 1st belongs to a Christian framework that is not ours. Jewish spirituality is Hebrew, ancient, and intentional. So yes, it matters. We are in the year 5786.

Elisheva Ysabella Hazan

29,357 views • 8 months ago

I had the honour of speaking at the Africa Prosperity Network on how we must empower Africa’s youth to lead the tech and AI revolution. At Divaloper , we believe that building capacity in digital skills isn’t just an option—it’s our responsibility and opportunity. 🌍 Consider this: across Africa, 85% of businesses say they already are or will be investing in AI within the next 3–5 years. 📊 Today, Africa sees only about US$2 – 3 billion in AI investment—just ~1–1.5% of global AI funding—despite representing roughly 17% of the world’s population. 🚀 But the trajectory is strong: the African AI market is projected to grow from ~US$4.5 billion in 2025 to ~US$16.5 billion by 2030—an annual growth rate of ~27%. The message to every young person in Ghana, across Africa: the time is now. Whether you’re a woman or a man, whether you’re in Accra, Tamale, or beyond — this is our chance to code, build, innovate and lead. I invite you to watch the full session and engage: How will you step into the future of tech and AI? #AfricaTech #AIForGood #YouthEmpowerment #WomenInTech #Divaloper #DigitalTransformation

I had the honour of speaking at the Africa Prosperity Network on how we must empower Africa’s youth to lead the tech and AI revolution. At Divaloper , we believe that building capacity in digital skills isn’t just an option—it’s our responsibility and opportunity. 🌍 Consider this: across Africa, 85% of businesses say they already are or will be investing in AI within the next 3–5 years. 📊 Today, Africa sees only about US$2 – 3 billion in AI investment—just ~1–1.5% of global AI funding—despite representing roughly 17% of the world’s population. 🚀 But the trajectory is strong: the African AI market is projected to grow from ~US$4.5 billion in 2025 to ~US$16.5 billion by 2030—an annual growth rate of ~27%. The message to every young person in Ghana, across Africa: the time is now. Whether you’re a woman or a man, whether you’re in Accra, Tamale, or beyond — this is our chance to code, build, innovate and lead. I invite you to watch the full session and engage: How will you step into the future of tech and AI? #AfricaTech #AIForGood #YouthEmpowerment #WomenInTech #Divaloper #DigitalTransformation

Zulaiha Dobia Abdullah

18,250 views • 10 months ago