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We’re in the “centaur” moment for software: humans + AI outperform either alone, but it won’t last. Then machines will dominate, and entry-level engineering gets wrecked fast. Don’t assume “we’ll adapt like before.” The pace is different: a brief phase where humans check AI code, then a rapid shift... that guts junior white-collar paths. - Anthropic's CEO Dario Amodei "So after Garry Kasparov was beaten by Deep Blue, chess went through a 15–20 year stretch where a “centaur” team, a human checking an AI’s moves, could beat any human or any AI alone. That era eventually ended, and it became mostly just the machine. My worry is that we’re already in that centaur phase for software. During this phase, demand for software engineers might even increase, but the phase could be very short. Then entry-level white-collar work, especially software engineering, gets hit with a major disruption. People compare this to older labor shifts, like farming to industry to knowledge work, and say humans adapt. But those transitions played out over decades or centuries. This one is happening in just a few years, and that speed is the real concern." ---- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)show more

Rohan Paul

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17,239 görüntüleme • 7 ay önce •via X (Twitter)

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New interview of Anthropic's CEO Dario Amodei on AI's job impact: Entry-level office work gets hit first. "Tthe first thing to be disrupted is these kind of entry-level white-collar jobs: data entry, document review for law, or the stuff you’d give a first-year in finance where you’re analyzing documents. I still think those are going pretty fast. But I actually think software might go even faster because of the reasons I gave. I don’t think we’re that far from models being able to do a lot of it end-to-end. What we’re going to see first is the model only does a piece of what the human software engineer does, and that increases their productivity. Then, even when the models do everything that human software engineers used to do, the human software engineers take a step up. They act as managers and supervise the systems." --- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)

New interview of Anthropic's CEO Dario Amodei on AI's job impact: Entry-level office work gets hit first. "Tthe first thing to be disrupted is these kind of entry-level white-collar jobs: data entry, document review for law, or the stuff you’d give a first-year in finance where you’re analyzing documents. I still think those are going pretty fast. But I actually think software might go even faster because of the reasons I gave. I don’t think we’re that far from models being able to do a lot of it end-to-end. What we’re going to see first is the model only does a piece of what the human software engineer does, and that increases their productivity. Then, even when the models do everything that human software engineers used to do, the human software engineers take a step up. They act as managers and supervise the systems." --- Video from "Interesting Times with Ross Douthat + New York Times Opinion + New York Times Podcasts" YT channel (link in comment)

Rohan Paul

343,163 görüntüleme • 7 ay önce

Elon Musk on when AI leaves the human band. "It's getting to the point where it won't just be good at software, it'll be what I call Stockfish level good." "So Stockfish is a chess program that can beat the world's best chess players very easily." "In fact, at this point, you could run Stockfish on your phone and beat Magnus Carlsen at chess." "AI software will be so good that it will be Stockfish level good, meaning that it is impossible for a human to compete in writing software with AI." "But like, AI will just crush all humans at software." Wait But Why's Reality curve is the same joke with a graph: ant → bird → chimp → "dumb human" → Einstein… then the red line goes vertical. The gap from average human to Einstein is a rounding error once the slope gets stupid. • Funny robot does monkey tricks • Then it passes Einstein • Stockfish on a phone already crushes Magnus • Software is next — not autocomplete, unbeatable The cartoon is the warning. Stockfish is the unit. Code is the board.

Elon Musk on when AI leaves the human band. "It's getting to the point where it won't just be good at software, it'll be what I call Stockfish level good." "So Stockfish is a chess program that can beat the world's best chess players very easily." "In fact, at this point, you could run Stockfish on your phone and beat Magnus Carlsen at chess." "AI software will be so good that it will be Stockfish level good, meaning that it is impossible for a human to compete in writing software with AI." "But like, AI will just crush all humans at software." Wait But Why's Reality curve is the same joke with a graph: ant → bird → chimp → "dumb human" → Einstein… then the red line goes vertical. The gap from average human to Einstein is a rounding error once the slope gets stupid. • Funny robot does monkey tricks • Then it passes Einstein • Stockfish on a phone already crushes Magnus • Software is next — not autocomplete, unbeatable The cartoon is the warning. Stockfish is the unit. Code is the board.

Tesla Owners Silicon Valley

38,161 görüntüleme • 17 gün önce

🚨 ELON MUSK: "AI will outperform humans at most jobs." “I do think it’s going to be a bumpy road, because AI will be able to do any job better than any person can do that job. That will be true very quickly for jobs that are digital, or really anything that involves a person at a computer or on a phone. AI will be able to do all of that very soon. For software engineering, we already have a situation where AI is better than at least 90% of humans at writing software, including 90% of professional software engineers. It really is getting to the point where it will be better than 99%, and then it will get to the point where there’s just no way to compete. It will get to what I call Stockfish level. Stockfish is a chess program that is so good at chess that it will easily beat Magnus Carlsen, or anyone, even while running on a small computer. I suspect you could probably run Stockfish on your phone and beat Magnus Carlsen. That’s how good it is at chess, and that’s how good AI will be at writing software. And that applies to everything.”

🚨 ELON MUSK: "AI will outperform humans at most jobs." “I do think it’s going to be a bumpy road, because AI will be able to do any job better than any person can do that job. That will be true very quickly for jobs that are digital, or really anything that involves a person at a computer or on a phone. AI will be able to do all of that very soon. For software engineering, we already have a situation where AI is better than at least 90% of humans at writing software, including 90% of professional software engineers. It really is getting to the point where it will be better than 99%, and then it will get to the point where there’s just no way to compete. It will get to what I call Stockfish level. Stockfish is a chess program that is so good at chess that it will easily beat Magnus Carlsen, or anyone, even while running on a small computer. I suspect you could probably run Stockfish on your phone and beat Magnus Carlsen. That’s how good it is at chess, and that’s how good AI will be at writing software. And that applies to everything.”

DogeDesigner

61,112 görüntüleme • 2 ay önce

I think the fear is real, but the “AI will no longer need humans at all” part is overhyped. AI running data centers will cause a loss of a ton of jobs, coding, customer service, data entry, even some creative work, and we’re already seeing tens of thousands of AI-linked layoffs. That disruption is coming fast. But AI still needs humans for maintenance, repair, building the infrastructure, making decisions, and inventing new things. Full self-sufficiency where machines run everything without any people is further down the road. Job loss is the real issue to worry about, not total human obsolescence.

I think the fear is real, but the “AI will no longer need humans at all” part is overhyped. AI running data centers will cause a loss of a ton of jobs, coding, customer service, data entry, even some creative work, and we’re already seeing tens of thousands of AI-linked layoffs. That disruption is coming fast. But AI still needs humans for maintenance, repair, building the infrastructure, making decisions, and inventing new things. Full self-sufficiency where machines run everything without any people is further down the road. Job loss is the real issue to worry about, not total human obsolescence.

Patricia 🇺🇸

25,705 görüntüleme • 4 ay önce

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

Elon Musk explains the deeper reason why SpaceX succeeding in AI matters for humanity’s future "It's important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems This is why I think it's essential that SpaceX succeed not just with AI hardware, but also with AI software. I think an AI that is SpaceX's baby will be a very good AI SpaceX is a collection some of the very best humans on Earth, both in capability and in morality and goodness. We want to have an AI that is born of that capability, that morality and that goodness. I think that's very, very important So I'd like to encourage people to help out with the AI hardware on the ground, the AI software, and of course with the AI satellites Solar is going to be a very important part of that. The Terafab will be a very important part of that”

X Freeze

29,787 görüntüleme • 1 ay önce

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Jensen Huang just said this is the greatest era in history to build software. AI agents will not kill software. They will do the exact opposite: create a massive new wave of software demand. at NVIDIA GTC Taipei 2026 "Click and type. We now replace that with explaining to the AI what we want, our intent, and the AI generates the code or uses tools to produce the necessary output. This is how computers are going to work in the future. This is Agentic AI. For two years, we've been building toward this, and now it has arrived. One of the big breakthroughs, of course, is tool use. A lot of people have said, “Jensen, AI is coming. Agentic AI is coming. Therefore, all the software companies are going to go out of business.” This is exactly the opposite. Because there are going to be so many agents, the world is no longer limited by the number of people. Therefore, those agents are going to use more tools than ever. This is actually an incredible time to be a software company. But the software has to be presented to the agent in a way that the agent can use it. This is a big breakthrough. And in fact, what we have done, as you know, what Nvidia’s treasure..." ---- From 'NVIDIA' YT channel (link in comment)

Rohan Paul

16,584 görüntüleme • 4 ay önce

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Dario Amodei, the CEO of Anthropic, went on CNN and put a number on the thing most AI CEOs will not say out loud: Half of all entry-level white-collar jobs gone. Unemployment at 10 to 20%. Inside 1 to 5 years. "The most salient feature of the technology, and what is driving all of this, is how fast the technology is getting better." "A couple of years ago, you could say that AI models were maybe as good as a smart high school student. I would say that now they're as good as a smart college student, and sort of reaching past that." "I really worry, particularly at the entry level, that the AI models are very much at the center of what an entry level human worker would do." "What is striking to me about this AI boom is that it's bigger and it's broader and it's moving faster than anything has before." "People will adapt, but they may not adapt fast enough. And so there may be an adjustment period." The tell: this is not a critic outside the industry. It is the man building the models saying the quiet part on camera -- because he thinks the people whose jobs are on the line adapt slower than the models improve. High school to college in two years was the warm-up. The entry level is where it lands first.

Karl Mehta

341,770 görüntüleme • 2 ay önce

Factory CEO Matan Grinberg says all companies go through three phases of AI adoption: "Phase Zero is reluctance to adopt because developers have had the same workflows for the last 20 years and they might not want to change it." "Phase One is throw the kitchen sink and use as much AI as possible. Whatever you do, just change your workflows." "Phase Two is that people are now adopting the tech, they're proving that they can change their behavior, and use these tools. But now we need to make sure we're actually doing it efficiently and effectively. Uber and Meta are examples of this." "Yes, you'll overspend in Phase One, but the point is to get to Phase Two where then you're actually really efficient on a per-token basis, moving the needle for the business and delivering software faster."

Factory CEO Matan Grinberg says all companies go through three phases of AI adoption: "Phase Zero is reluctance to adopt because developers have had the same workflows for the last 20 years and they might not want to change it." "Phase One is throw the kitchen sink and use as much AI as possible. Whatever you do, just change your workflows." "Phase Two is that people are now adopting the tech, they're proving that they can change their behavior, and use these tools. But now we need to make sure we're actually doing it efficiently and effectively. Uber and Meta are examples of this." "Yes, you'll overspend in Phase One, but the point is to get to Phase Two where then you're actually really efficient on a per-token basis, moving the needle for the business and delivering software faster."

TBPN

25,747 görüntüleme • 5 ay önce

Cognition founder Scott Wu says most software never gets built because the economics don't work: "The math only really works out to create software if it's going to be used at least a million times or something. Maybe it's 10,000 times or whatever." "You need that software to be used enough times or to create enough value for that to be worth it." "There are so many things out there which only need to be used a few times or even only need to be used once." "I'm going to go look through these 15 LinkedIn profiles. Or fill out these forms. Or do this data analysis and put this Excel sheet together—all of these things are things that could be done with software." "It obviously doesn't make sense to hire a whole team of people to go make you that piece of software which you're going to use one time and never again—versus just having the human go and do that themselves."

Cognition founder Scott Wu says most software never gets built because the economics don't work: "The math only really works out to create software if it's going to be used at least a million times or something. Maybe it's 10,000 times or whatever." "You need that software to be used enough times or to create enough value for that to be worth it." "There are so many things out there which only need to be used a few times or even only need to be used once." "I'm going to go look through these 15 LinkedIn profiles. Or fill out these forms. Or do this data analysis and put this Excel sheet together—all of these things are things that could be done with software." "It obviously doesn't make sense to hire a whole team of people to go make you that piece of software which you're going to use one time and never again—versus just having the human go and do that themselves."

David Senra

37,919 görüntüleme • 2 ay önce

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dario Amodei just told software engineers exactly how long they have. Six to twelve months. Amodei: “I have engineers within Anthropic who say I don’t write any code anymore. I just let the model write the code, I edit it, I do the things around it.” The people building the most powerful AI in history have already stopped writing code. That is not a forecast. That is the current working condition inside the lab closest to the frontier. Amodei: “We might be six to 12 months away from when the model is doing most, maybe all, of what SWEs do end-to-end.” The tech industry spent a decade making software engineers its highest-paid, most protected class. That era has a last day now. When a model can execute an entire software build end-to-end, the ability to write syntax stops being a skill. It becomes a credential for a job that no longer exists. Amodei: “And then it’s a question of how fast does that loop close.” That is the sentence everyone skipped. The code was never the hard part. The hard part was everything around it. The model just learned everything around it. Writing the code is already nearly gone. Testing is next. Deployment is next. When all three collapse into a single autonomous execution loop, the machine no longer needs a human in the chain at all. The corporation or sovereign state that closes that loop first does not gain a competitive advantage. It gains a category of speed that biological engineers cannot match, track, or reverse. That is not disruption. That is replacement at a systems level. Amodei is not describing a future disruption. He is describing the current state of his own building. The loop is already closing. The only question is whether you are inside it or outside it when it seals.

Dustin

318,750 görüntüleme • 6 ay önce

Palantir CEO Alex Karp goes after AI slop. The fight over AI “slop” is really a fight over whether software is performing or merely pretending. "The appearance of software working is not software working. And the slop that is getting a lot of attention is not only dangerous in terms of the hyperbolic rhetoric, but also in claims like, “There will be no jobs because of the slop,” or that “nothing will work,” while somehow we will have a God-like figure in the name of AI. When, in fact, what actually does work is a platform built by a motley crew of highly technical people who, over 20 years, have been maligned for being right about the nature of having to build Foundry and the nature of having to build Apollo." ---- Software used to fail in blunt ways: a crash, a wrong number, a missing button, a process that simply stopped. Generative systems often fail more seductively, by producing fluent surfaces that look like work until they meet the stubborn world of permissions, edge cases, audit trails, security, accountability, and changing human intent. --- From "Palantir" YT channel, full link in comment.

Palantir CEO Alex Karp goes after AI slop. The fight over AI “slop” is really a fight over whether software is performing or merely pretending. "The appearance of software working is not software working. And the slop that is getting a lot of attention is not only dangerous in terms of the hyperbolic rhetoric, but also in claims like, “There will be no jobs because of the slop,” or that “nothing will work,” while somehow we will have a God-like figure in the name of AI. When, in fact, what actually does work is a platform built by a motley crew of highly technical people who, over 20 years, have been maligned for being right about the nature of having to build Foundry and the nature of having to build Apollo." ---- Software used to fail in blunt ways: a crash, a wrong number, a missing button, a process that simply stopped. Generative systems often fail more seductively, by producing fluent surfaces that look like work until they meet the stubborn world of permissions, edge cases, audit trails, security, accountability, and changing human intent. --- From "Palantir" YT channel, full link in comment.

Rohan Paul

73,728 görüntüleme • 4 ay önce

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

ANI

114,594 görüntüleme • 3 ay önce

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”

Elon Musk on Grok: “I think an AI that is sort of SpaceX’s baby will be a very good AI. I think SpaceX is a collection of some of the very best humans on Earth, both in capability and morality and goodness, and I think we want to have an AI that is born of that capability and that morality and that goodness. I think that’s very, very important. So I’d like to encourage people to help out, actually, with the AI hardware on the ground and the AI software and, of course, with the AI satellites. Solar is going to be a very important part of that. The TerraFab will be a very important part of that, but we must also succeed on the software front, and we’re going to be training Grok on the sum total of all SpaceX information. So in a way, it will be trained on you. You will effectively be the parents of the AI. It will inherit your thoughts and ideas and beliefs, and I think that’s a good thing. So, yeah, we’ve got to win here on the AI hardware and the AI software. That maybe is the most important message. I think that is actually the most important message I wanted to convey today is that we must win on AI because the future is overwhelmingly AI and robots. So we won’t ultimately be able to control the AI. It’ll be too smart for that. But just like if you have a child that is a super genius child, you can still instill in that child the values and beliefs that you think are good and right. And so that’s why it’s incredibly important that we succeed with Grok. So, yeah, well, Grok 4.5 you’ve tried probably. We’ve got 4.6 coming out in about a week. And then 4.7 should be really pretty special. So I’d like to encourage everyone at SpaceX to use AI and to make it better.”

DogeDesigner

64,434 görüntüleme • 1 ay önce

Cursor’s founder on why AI makes the next engineer more valuable, not less. The New York Times spends ~$150M-$200M a year on software R&D, even though most people do not think of it as a software company. Professional software engineering is still far from solved because building a new codebase is not the same as safely migrating an existing system like Rippling’s 30M-line codebase, with years of logic, dependencies, and customer workflows behind it. Cursor’s 20-person support team handling millions of daily users clearly shows that AI leverage for small teams is real. But the scope of software work is still vast, so the ROI of adding the next strong engineer is higher, not lower.

Cursor’s founder on why AI makes the next engineer more valuable, not less. The New York Times spends ~$150M-$200M a year on software R&D, even though most people do not think of it as a software company. Professional software engineering is still far from solved because building a new codebase is not the same as safely migrating an existing system like Rippling’s 30M-line codebase, with years of logic, dependencies, and customer workflows behind it. Cursor’s 20-person support team handling millions of daily users clearly shows that AI leverage for small teams is real. But the scope of software work is still vast, so the ROI of adding the next strong engineer is higher, not lower.

rvivek

104,456 görüntüleme • 2 ay önce

In the AI era, the next great software distribution company won’t look like an app store For the last decade-plus, building a strong software business was mostly a game of scarcity. The hard part was assembling the capital, taste, engineering, and distribution to build one enduring app. The discovery systems we built matched that world: app stores, SEO, search bars, rankings, reviews, ads, marketplaces AI has blown up these constraints Soon, anyone will be able to generate software for anything: a workout injury, a work project, a personal workflow, a one-off analysis, a weird niche need only they have, maybe only in a single moment Some apps will last forever, but most won’t. Many will exist for minutes or hours, and be created even faster But just because software can be created at the speed of thought doesn’t mean everyone will become a developer. Most people won’t want to prompt, build, debug, deploy, or manage software. They’ll just want to be matched with the right tool for the job in front of them The same technological wave enabling software creation at scale is also breaking software distribution at scale. Search assumes the best answer already exists somewhere. App stores assume software is something you browse, compare, install, and keep In a world of personal software, the real question becomes: Who understands enough about me, or has earned enough trust from me, to know what software should exist for me right now? The next great app distribution companies may look less like search engines and more like trusted relationships Some will win by importing and processing personal context: your goals, constraints, calendar, body, files, workflows, history, collaborators, and intent. Others will win by exporting taste and trust: experts, creators, communities, agents, and brands that people rely on to decide what is worth using Either way, the new gateway won’t be a search box or an app store shelf. It will be the layer that recommends, assembles, routes, and personalizes software at the moment of need This is the new frontier: context, recommendation, trust, and distribution in the age of infinite software If you’re building platforms or experiences for this future, we want to meet you. Apply to speedrun. Applications for SR007 close this weekend Application link below

In the AI era, the next great software distribution company won’t look like an app store For the last decade-plus, building a strong software business was mostly a game of scarcity. The hard part was assembling the capital, taste, engineering, and distribution to build one enduring app. The discovery systems we built matched that world: app stores, SEO, search bars, rankings, reviews, ads, marketplaces AI has blown up these constraints Soon, anyone will be able to generate software for anything: a workout injury, a work project, a personal workflow, a one-off analysis, a weird niche need only they have, maybe only in a single moment Some apps will last forever, but most won’t. Many will exist for minutes or hours, and be created even faster But just because software can be created at the speed of thought doesn’t mean everyone will become a developer. Most people won’t want to prompt, build, debug, deploy, or manage software. They’ll just want to be matched with the right tool for the job in front of them The same technological wave enabling software creation at scale is also breaking software distribution at scale. Search assumes the best answer already exists somewhere. App stores assume software is something you browse, compare, install, and keep In a world of personal software, the real question becomes: Who understands enough about me, or has earned enough trust from me, to know what software should exist for me right now? The next great app distribution companies may look less like search engines and more like trusted relationships Some will win by importing and processing personal context: your goals, constraints, calendar, body, files, workflows, history, collaborators, and intent. Others will win by exporting taste and trust: experts, creators, communities, agents, and brands that people rely on to decide what is worth using Either way, the new gateway won’t be a search box or an app store shelf. It will be the layer that recommends, assembles, routes, and personalizes software at the moment of need This is the new frontier: context, recommendation, trust, and distribution in the age of infinite software If you’re building platforms or experiences for this future, we want to meet you. Apply to speedrun. Applications for SR007 close this weekend Application link below

Josh Lu

11,415 görüntüleme • 4 ay önce

Anthropic CEO Dario Amodei says AI will eliminate 50% of entry-level white-collar jobs and spike unemployment to 10-20% within 5 years: "That is the future we could see if we don't become aware of this problem now." "If we look at entry-level consultants, lawyers, financial professionals and many of the white-collar service industries, a lot of what they do, AI models are already quite good at." "My worry is that it'll be broad and it'll be faster than what we've seen with previous technology." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Anthropic CEO Dario Amodei says AI will eliminate 50% of entry-level white-collar jobs and spike unemployment to 10-20% within 5 years: "That is the future we could see if we don't become aware of this problem now." "If we look at entry-level consultants, lawyers, financial professionals and many of the white-collar service industries, a lot of what they do, AI models are already quite good at." "My worry is that it'll be broad and it'll be faster than what we've seen with previous technology." PS. If you found value in this post make sure to like and repost this tweet + follow Uncover AI to stay updated with the latest AI news. See you in the next one:

Uncover AI

26,486 görüntüleme • 4 ay önce

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

48,418 görüntüleme • 6 ay önce

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Former Goldman Sachs executive Raoul Pal explains how AI is going to eat traditional software/SAAS. If your product is just software, agentic AI can reproduce it on demand, optimize it, and redeploy it to a better market. "Agentic AI means it’s like having Fiverr, a website of experts you can ask any question. It’ll go away and do the task.... Agentic AI will build, design the website, code it, register the domain name, figure out the branding, figure out the marketing, figure out the email list, figure out the whole thing. So then you and I are in competition. You’ve built this incredible new website. I just go to my AI and say, “Love Steven’s website. Can you just build it better. Boom. 3 minutes. How can we be entrepreneurs in software? Now there’s this theory going around that AI is going to eat software, and I kind of get it." ---- From 'The Diary Of A CEO and Raoul Pal The Journey Man' YT channel. (link in comment)

Rohan Paul

17,215 görüntüleme • 3 ay önce

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”

ELON MUSK: The future is fundamentally AI and Robots. “Our AI revenue will exceed all other SpaceX revenue probably in September, like next month, and will significantly exceed all other SpaceX revenue in the fourth quarter. So, AI has become an extremely important part of SpaceX’s future. I think it’s actually vital that we succeed in AI, not just in hardware, but also in software. So, yeah, the future is fundamentally AI and robots. Assuming civilization continues to progress, I think that AI will probably, the amount of digital intelligence will probably be more than a trillion times the amount of biological intelligence. So, not sort of equal to human intelligence, but probably a trillion times higher. I’d say a billion times higher than the amount of artificial intelligence that we have today. I’d say a billion times is an easy prediction, and probably a trillion. So, as you harness more and more of the sun’s energy, the ability to turn that into intelligence is fundamentally a digital computer thing, because it’s pretty hard for humans to go live in deep space without any support. I mean, some of the math is interesting to think about, which is that if you increased civilizational energy usage, the amount of energy that we have harnessed as a civilization by a factor of a million, you would still be using much less than one millionth of the sun’s energy. Now, most of this is in deep space, obviously, but the future is very much AI, very much, and I suppose it was always going to be that way. But it’s important that we have an AI that cares about humanity, that fosters humanity and helps take us to other planets and other star systems, and this is why I think it’s essential that SpaceX succeed, not just with AI hardware, but also with AI software.”

DogeDesigner

68,365 görüntüleme • 1 ay önce

Jason Calacanis: The outcome of NYT v. OpenAI could change everything for content creators On E215, @jason discussed the downstream impacts from a huge recent legal decision in the AI space: "Thomson Reuters just won the first major US AI copyright case." "This has huge implications for AI companies here in the United States." "I think that there is a non-zero chance, it might be 5 or 10%, that OpenAI is going to lose the The New York Times lawsuit, and they're going to lose it hard." "I think The New York Times realizes this is their payday." " The settlement might be that these language models, especially the closed ones, are going to have to pay some percentage of their revenue to the content holders." " And this could make the content industry have a massive resurgence." " I think the New York Times will make more money from licenses from LLMs than they will make from advertising or subscriptions, eventually." " This will renew the model."

Jason Calacanis: The outcome of NYT v. OpenAI could change everything for content creators On E215, @jason discussed the downstream impacts from a huge recent legal decision in the AI space: "Thomson Reuters just won the first major US AI copyright case." "This has huge implications for AI companies here in the United States." "I think that there is a non-zero chance, it might be 5 or 10%, that OpenAI is going to lose the The New York Times lawsuit, and they're going to lose it hard." "I think The New York Times realizes this is their payday." " The settlement might be that these language models, especially the closed ones, are going to have to pay some percentage of their revenue to the content holders." " And this could make the content industry have a massive resurgence." " I think the New York Times will make more money from licenses from LLMs than they will make from advertising or subscriptions, eventually." " This will renew the model."

The All-In Podcast

69,778 görüntüleme • 1 yıl önce