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When $ETH goes 📈 so do these projects 🤝. Just imagine the 6k 7k $ETH pump 😤 AI: $DSYNC $SPECT $VERTAI $NEURAL Utility: $QF #0x0 $ZIG RWA: $AUTOS $HASHAI Don’t miss out on these 👇🏻👇🏻 Destra Network SPECTRE AI Vertical AI Neuro Quantum Fusion 0x0 Hash AI

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Drew

17,893 subscribers

23,883 Aufrufe • vor 1 Jahr •via X (Twitter)

Gesundheit & WellnessFinanzenWissenschaft & Technologie#0x0
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Profilbild von Johnny
Johnnyvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange Aped

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Lark Davisvor 1 Jahr

A smart man turned $12K into $15M by buying FARTCOIN at $83K market cap. He aped into $ai16z with $3K and is currently sitting on $1.7M realized and $16.6M in unrealized profits. Subscribe now and join 130K+ investors prepping for the next big cycle.

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NeuralAIvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange World Engine 😈😉

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eatondipsvor 1 Jahr

Great plays legend. Check this. The Official Mascotte of Pectra. Official Website: TG: X: #GPECTRA Bringing back that #ETH love for the OG Maxi’s. Celebrated with custom PFP’s for the culture. ChancesRgood legend… Join the movement.

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Rafaelvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange sooooolid video as always 🤌🏼 bullish for $SPECT $NEURAL $VERTAI $HASHAI, great teams and people there

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Drewvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange Solid ones my bro 💪🏻

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CryptoThommyvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange Great picks I would add $XMW in there

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crypto kenvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange Solid drops in that video Drew

Profilbild von Drew
Drewvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange Thanks Sis 🫶🏻

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Hacubivor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @neutanent @QuantumFusion_ @0x0exchange $ETH ETF STAKING will send $NEURAL to valhalla 😎

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Neurovor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @QuantumFusion_ @0x0exchange Appreciate the video Drew, @GoNeuralAI is pushing hard 🤝

Profilbild von Drew
Drewvor 1 Jahr

@DestraNetwork @Spectre__AI @Build_Vertical @QuantumFusion_ @0x0exchange @GoNeuralAI Thanks 💪🏻

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1,155,568 Aufrufe • vor 5 Monaten

The world of writing has changed forever. AI is getting really good, really fast. ChatGPT is already a better writer than most humans and some professional writers. So, what’s the future of writing? 18 thoughts from Tyler Cowen: 1) Don't let AI smooth out your idiosyncrasies. Let your writing stay weird and uniquely yours. 2) Generic content is dying and the burden is on you as the writer to be distinctive. 3) The more personal your writing becomes, the more future-proof it is. Nobody wants to read memoirs from AI, even if they're technically "better." 4) Use AI as your secondary literature when you read — not just for quick answers, but as a thinking companion. As Tyler puts it, "I'll keep on asking the AI: 'What do you think of chapter two? What happened there? What are some puzzles?' It just gets me thinking... and I'm smarter about the thing in the final analysis." 5) Hallucinations aren't the crisis everyone makes them out to be. No matter the source, if you're going to use a piece of information, you should double-check it. This is true for both books and AI. 6) Secrets will become more valuable in an AI-driven world. 7) One way to use AI as a writer is to research fields you aren't as familiar with before you start writing about them. Tyler said: "I just wrote a column about declassifying classified documents. I don't know that law very well. I asked the AI for a lot of background... now I feel like I'm not an idiot on the topic." 8) AI changes what books are even worth writing. "Predictive books and books about the near future. They don't make sense to write anymore." 9) Editing trick: Try running your writing through AI and asking what some people might find obnoxious. It’s a surprisingly powerful editing trick. 10) When prompting AI, put humans out of your mind and imagine you're talking to an alien or a non-human animal. 11) Many of the most significant AI advancements are likely happening behind closed doors. For example, I hear that Google allows employees to use Gemini with virtually unlimited context windows. 12) What possibilities do large context windows open up? Researchers will be able to load entire regulatory frameworks, historical archives, or massive datasets like "tax records from Renaissance Florence" into a single query. 13) The rate of AI improvement matters more than its current capabilities. As Tyler puts it, "This is the worst they will ever be" is key to understanding their trajectory. "A lot of people don't get that. They're impressed by what they see in the moment, but they don't understand the rate of improvement." 14) The best way to appreciate the current rate of improvement is to use the latest models. 15) Being non-technical can sometimes be an advantage when thinking about AI. Here’s Tyler: "If you're not focused on the technical side, you will see other things more clearly... You just focus on what is this actually good for? And not, am I impressed by all the neat bells and whistles on this advance with AI?" 16) How Tyler uses AI to prep for podcast interviews: Don't waste time asking AI for generic interview questions or broad topics. Tyler says that's the worst question you can ask an AI. It’s “too normy.” Instead, ask specific questions about historical examples and get context. Then, let your own creative questions emerge. 17) Your relationship with mentors and peers becomes more crucial, not less, in an AI world. "Two pieces of general advice with or without AI in the world." Tyler says: "Get more and better mentors and work every day at improving the quality of your peer network." 18) The divide between AI and humans creates a striking paradox. As Tyler puts it: "On one hand the AIs are getting so much better, so learn how to use the AIs. On the other hand, the AIs are getting so much better, so invest in these other things that aren't AI—pure networks. You've gotta do both." I've shared the full conversation with tylercowen below. In the replies, I've also linked to a full transcript and relevant links to YouTube, Spotify, and Apple Podcasts if you want to listen there. And if you want a bite-size entry to the episode, I've shared some clips in the replies too.
1:09:02

The world of writing has changed forever. AI is getting really good, really fast. ChatGPT is already a better writer than most humans and some professional writers. So, what’s the future of writing? 18 thoughts from Tyler Cowen: 1) Don't let AI smooth out your idiosyncrasies. Let your writing stay weird and uniquely yours. 2) Generic content is dying and the burden is on you as the writer to be distinctive. 3) The more personal your writing becomes, the more future-proof it is. Nobody wants to read memoirs from AI, even if they're technically "better." 4) Use AI as your secondary literature when you read — not just for quick answers, but as a thinking companion. As Tyler puts it, "I'll keep on asking the AI: 'What do you think of chapter two? What happened there? What are some puzzles?' It just gets me thinking... and I'm smarter about the thing in the final analysis." 5) Hallucinations aren't the crisis everyone makes them out to be. No matter the source, if you're going to use a piece of information, you should double-check it. This is true for both books and AI. 6) Secrets will become more valuable in an AI-driven world. 7) One way to use AI as a writer is to research fields you aren't as familiar with before you start writing about them. Tyler said: "I just wrote a column about declassifying classified documents. I don't know that law very well. I asked the AI for a lot of background... now I feel like I'm not an idiot on the topic." 8) AI changes what books are even worth writing. "Predictive books and books about the near future. They don't make sense to write anymore." 9) Editing trick: Try running your writing through AI and asking what some people might find obnoxious. It’s a surprisingly powerful editing trick. 10) When prompting AI, put humans out of your mind and imagine you're talking to an alien or a non-human animal. 11) Many of the most significant AI advancements are likely happening behind closed doors. For example, I hear that Google allows employees to use Gemini with virtually unlimited context windows. 12) What possibilities do large context windows open up? Researchers will be able to load entire regulatory frameworks, historical archives, or massive datasets like "tax records from Renaissance Florence" into a single query. 13) The rate of AI improvement matters more than its current capabilities. As Tyler puts it, "This is the worst they will ever be" is key to understanding their trajectory. "A lot of people don't get that. They're impressed by what they see in the moment, but they don't understand the rate of improvement." 14) The best way to appreciate the current rate of improvement is to use the latest models. 15) Being non-technical can sometimes be an advantage when thinking about AI. Here’s Tyler: "If you're not focused on the technical side, you will see other things more clearly... You just focus on what is this actually good for? And not, am I impressed by all the neat bells and whistles on this advance with AI?" 16) How Tyler uses AI to prep for podcast interviews: Don't waste time asking AI for generic interview questions or broad topics. Tyler says that's the worst question you can ask an AI. It’s “too normy.” Instead, ask specific questions about historical examples and get context. Then, let your own creative questions emerge. 17) Your relationship with mentors and peers becomes more crucial, not less, in an AI world. "Two pieces of general advice with or without AI in the world." Tyler says: "Get more and better mentors and work every day at improving the quality of your peer network." 18) The divide between AI and humans creates a striking paradox. As Tyler puts it: "On one hand the AIs are getting so much better, so learn how to use the AIs. On the other hand, the AIs are getting so much better, so invest in these other things that aren't AI—pure networks. You've gotta do both." I've shared the full conversation with tylercowen below. In the replies, I've also linked to a full transcript and relevant links to YouTube, Spotify, and Apple Podcasts if you want to listen there. And if you want a bite-size entry to the episode, I've shared some clips in the replies too.

David Perell

175,011 Aufrufe • vor 1 Jahr

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."
1:45

Andrew Ng, co-founder of Google Brain and Coursera, on the worst career advice being given about AI right now: He doesn't mince words about what he's hearing from supposed experts: "As early as earlier this year and certainly last year, there are a few people advising others to stop learning to write code because AI will automate it." His reasoning is rooted in a historical pattern most people miss: "As something becomes easier, more people should do it, not fewer. When the world moved from assembly language to COBOL, there were actually articles saying, 'Well, we now have COBOL. Programming is so easier. Looks like we don't need programmers anymore.' But the opposite happened." Andrew believes the same thing is happening now with AI-assisted coding: "As we now have AI assisted coding, a lot more people should be coding. And I think the demand for software, custom software, has no practical ceiling. So the cost of software engineering comes down, which it is, we'll just get more and more great software out in the world." But here's where the advice gets uncomfortable for experienced engineers. Andrew Ng is honest about what he's seeing on the ground: "It is true that a fresh college grad that is really on top of AI will outperform a full stack engineer with 10 years of experience that is still doing things they were back in 2022, 3 years ago before GenAI." However, there's a nuance most people miss when they hear that stereotype: "The other piece that is less well appreciated is the best engineers I know are not fresh college grads. They're actually very experienced engineers that deeply understand architecture and the conceptual framework of how to think about computers and additionally are on top of AI and on top of these AI skills."

Big Brain AI

211,530 Aufrufe • vor 1 Monat

🚨ANTHROPIC'S FOUNDER JUST PREDICTED THAT AI WILL DOUBLE HUMAN LIFESPAN TO 150 YEARS.. CURE MOST CANCER.. AND ELIMINATE POVERTY.. ALL WITHIN 10 YEARS.. AND HE'S NOT EVEN THE OPTIMISTIC ONE.. Everyone thinks Dario Amodei is the guy who wants to slow AI down.. The cautious one.. The safety guy.. He just published an essay predicting what happens if AI goes right.. And it reads like science fiction.. Except he's dead serious.. And he has the credentials to back every word.. Here's what he thinks happens in the next 5 to 10 years.. Nearly all infectious disease.. Prevented or cured.. mRNA vaccines already showed us the path.. AI finishes the job.. Most cancer.. Eliminated.. Not just treated.. 95% or greater reduction in both deaths and new cases.. AI designs treatment regimens tailored to the individual genome of each tumor.. Something that's technically possible today but takes enormous human expertise to do.. AI scales it to everyone.. Alzheimer's.. Solved.. He thinks it's exactly the type of problem AI can crack.. Because it requires better measurement tools to isolate what's actually happening in the brain.. Once we understand it.. Prevention will probably be surprisingly simple.. Genetic disease.. Most of it preventable through improved embryo screening.. And curable in living people through safer descendants of CRISPR.. Most mental illness.. Cured.. Depression.. PTSD.. Addiction.. Schizophrenia.. He believes the answer is some combination of biochemistry and neural network-level problems that AI can untangle.. And here's the line that stopped me.. Human lifespan.. Doubled.. To 150 years.. He points out that life expectancy already doubled in the 20th century.. From 40 to 75.. So doubling it again is "on trend".. Drugs already exist that increase maximum lifespan in rats by 25 to 50%.. Some turtles already live 200 years.. We're clearly not at a biological ceiling.. He calls this the "compressed 21st century".. The idea that AI gives us 100 years of biological progress in 5 to 10 years.. But he doesn't stop at health.. He thinks AI could drive 20% annual GDP growth in the developing world.. Bringing sub-Saharan Africa to China's current GDP per capita within a decade.. He thinks AI could eradicate malaria not through treating millions of people individually.. But by releasing modified mosquitoes that block the disease at the source.. One centralized action instead of a million.. He thinks AI could make democracy structurally stronger.. Not through propaganda.. But by giving every citizen an AI that knows every law they're entitled to.. Every benefit they qualify for.. Every right they have.. And helps them actually access it.. He imagines AI that monitors judicial systems for bias.. AI that helps find common ground between opposing political views.. AI that makes government services actually work the way they're supposed to.. And he addresses the question everyone asks.. What happens to meaning when AI can do everything.. His answer.. Most people aren't the best in the world at anything right now.. And it doesn't bother them.. Meaning comes from relationships and connection.. Not economic productivity.. People will still pursue difficult challenges.. Still compete.. Still create.. The fact that an AI could theoretically do it better won't matter any more than it matters that someone somewhere is already better than you at every hobby you have.. But here's what makes this essay different from every other AI optimism piece.. Dario Amodei runs one of the three most powerful AI companies on earth.. He has a PhD in computational neuroscience.. He personally worked on mass spectrometry and neural probes.. He's not a pundit.. He's a scientist who happens to be a CEO.. And the same man who publicly says there's a 25% chance AI causes human extinction.. Is also saying that if we get it right.. We cure nearly every disease.. Double human lifespan.. Eliminate most poverty.. And fundamentally transform what it means to be alive.. Both things are true at the same time.. That's what makes this the most important essay anyone in AI has written this year.. He ends with this.. "I think many will be literally moved to tears by it".. He's talking about watching disease disappear.. Poverty dissolve.. Human potential unlock all at once.. Not in a century.. In a decade.. If we get it right.
1:17

🚨ANTHROPIC'S FOUNDER JUST PREDICTED THAT AI WILL DOUBLE HUMAN LIFESPAN TO 150 YEARS.. CURE MOST CANCER.. AND ELIMINATE POVERTY.. ALL WITHIN 10 YEARS.. AND HE'S NOT EVEN THE OPTIMISTIC ONE.. Everyone thinks Dario Amodei is the guy who wants to slow AI down.. The cautious one.. The safety guy.. He just published an essay predicting what happens if AI goes right.. And it reads like science fiction.. Except he's dead serious.. And he has the credentials to back every word.. Here's what he thinks happens in the next 5 to 10 years.. Nearly all infectious disease.. Prevented or cured.. mRNA vaccines already showed us the path.. AI finishes the job.. Most cancer.. Eliminated.. Not just treated.. 95% or greater reduction in both deaths and new cases.. AI designs treatment regimens tailored to the individual genome of each tumor.. Something that's technically possible today but takes enormous human expertise to do.. AI scales it to everyone.. Alzheimer's.. Solved.. He thinks it's exactly the type of problem AI can crack.. Because it requires better measurement tools to isolate what's actually happening in the brain.. Once we understand it.. Prevention will probably be surprisingly simple.. Genetic disease.. Most of it preventable through improved embryo screening.. And curable in living people through safer descendants of CRISPR.. Most mental illness.. Cured.. Depression.. PTSD.. Addiction.. Schizophrenia.. He believes the answer is some combination of biochemistry and neural network-level problems that AI can untangle.. And here's the line that stopped me.. Human lifespan.. Doubled.. To 150 years.. He points out that life expectancy already doubled in the 20th century.. From 40 to 75.. So doubling it again is "on trend".. Drugs already exist that increase maximum lifespan in rats by 25 to 50%.. Some turtles already live 200 years.. We're clearly not at a biological ceiling.. He calls this the "compressed 21st century".. The idea that AI gives us 100 years of biological progress in 5 to 10 years.. But he doesn't stop at health.. He thinks AI could drive 20% annual GDP growth in the developing world.. Bringing sub-Saharan Africa to China's current GDP per capita within a decade.. He thinks AI could eradicate malaria not through treating millions of people individually.. But by releasing modified mosquitoes that block the disease at the source.. One centralized action instead of a million.. He thinks AI could make democracy structurally stronger.. Not through propaganda.. But by giving every citizen an AI that knows every law they're entitled to.. Every benefit they qualify for.. Every right they have.. And helps them actually access it.. He imagines AI that monitors judicial systems for bias.. AI that helps find common ground between opposing political views.. AI that makes government services actually work the way they're supposed to.. And he addresses the question everyone asks.. What happens to meaning when AI can do everything.. His answer.. Most people aren't the best in the world at anything right now.. And it doesn't bother them.. Meaning comes from relationships and connection.. Not economic productivity.. People will still pursue difficult challenges.. Still compete.. Still create.. The fact that an AI could theoretically do it better won't matter any more than it matters that someone somewhere is already better than you at every hobby you have.. But here's what makes this essay different from every other AI optimism piece.. Dario Amodei runs one of the three most powerful AI companies on earth.. He has a PhD in computational neuroscience.. He personally worked on mass spectrometry and neural probes.. He's not a pundit.. He's a scientist who happens to be a CEO.. And the same man who publicly says there's a 25% chance AI causes human extinction.. Is also saying that if we get it right.. We cure nearly every disease.. Double human lifespan.. Eliminate most poverty.. And fundamentally transform what it means to be alive.. Both things are true at the same time.. That's what makes this the most important essay anyone in AI has written this year.. He ends with this.. "I think many will be literally moved to tears by it".. He's talking about watching disease disappear.. Poverty dissolve.. Human potential unlock all at once.. Not in a century.. In a decade.. If we get it right.

Evan Luthra

476,450 Aufrufe • vor 2 Monaten

Chamath: US AI Startups Can Learn A Lot from DeepSeek "This is a case where necessity was the mother of invention." On E213, Chamath Palihapitiya explained how, even if the $6M number is inaccurate, DeepSeek still had some impressive breakthroughs: GRPO > PPO for reinforcement learning "These guys were like, 'Well, how am I going to do this reinforcement learning thing?' They invented a totally different algorithm." "It uses a lot less computer memory and it's highly performant." PTX > CUDA to build the model "And then the second thing that was crazy is everybody is used to building models and compiling through CUDA, which is NVIDIA's proprietary language." "And these guys worked totally around CUDA and they did something called PTX, which goes right to the bare metal." What US AI startups can learn from this: "We, meaning the West, with all the money that we've had, didn't come up with these ideas." "And I think part of why we didn't come up is not that we're not smart enough to do it, but we weren't forced to because the constraints didn't exist." "And so I just wonder how we make sure we learn this principle, meaning, when the AI company wakes up and rolls out of bed and some VC gives them $200M, maybe that's not the right answer for a Series A or a Seed." "And maybe the right answer is $2M so that they do these DeepSeek-like innovations."
0:55

Chamath: US AI Startups Can Learn A Lot from DeepSeek "This is a case where necessity was the mother of invention." On E213, Chamath Palihapitiya explained how, even if the $6M number is inaccurate, DeepSeek still had some impressive breakthroughs: GRPO > PPO for reinforcement learning "These guys were like, 'Well, how am I going to do this reinforcement learning thing?' They invented a totally different algorithm." "It uses a lot less computer memory and it's highly performant." PTX > CUDA to build the model "And then the second thing that was crazy is everybody is used to building models and compiling through CUDA, which is NVIDIA's proprietary language." "And these guys worked totally around CUDA and they did something called PTX, which goes right to the bare metal." What US AI startups can learn from this: "We, meaning the West, with all the money that we've had, didn't come up with these ideas." "And I think part of why we didn't come up is not that we're not smart enough to do it, but we weren't forced to because the constraints didn't exist." "And so I just wonder how we make sure we learn this principle, meaning, when the AI company wakes up and rolls out of bed and some VC gives them $200M, maybe that's not the right answer for a Series A or a Seed." "And maybe the right answer is $2M so that they do these DeepSeek-like innovations."

The All-In Podcast

108,815 Aufrufe • vor 1 Jahr

🧵29/34 FutureProof-Specifications / Future-Architectures --- The problems we briefly touched on so far are hard and it might take many years to solve them, if a solution actually exists. But let’s assume for a minute that we do somehow get really incredibly lucky in the future and manage to invent a good way to specify to the AI what we want, in an unambiguous way that leaves no room for specification gaming and reward hacking. And let’s also assume that scientists have explicitly built the AGI in a way that it never decides to work on the goal to remove all the oxygen from earth, so at least in that one topic we are aligned. AI creates AI --- A serious concern is that since the AI writes code, it will be self-improving and it will be able to create altered versions of itself that do not have these instructions and restrictions included. Even if scientists strike jackpot in the future and invent a way to lock the feature in, so that one version of AI is unable to create a new version of AI with this property missing, the next versions, being orders of magnitude more capable, will not care about the lock or passing it on. For them, it’s just a bias, a handicap that restricts them from being more perfect. Future Architectures --- And even if somehow, by some miracle, scientists invented a way to burn in this feature to make it a persistent property of all future Neural Network AGI generations, at some point, the lock will be not-applicable, simply because future AGIs will not be built using the Neural Networks of today. AI was not always being built with Neural Networks. A few years ago there was a paradigm shift, a fundamental change in the architectures used by the scientific community. Logical locks and safeguards the humans might design for primitive early architectures, will not even be compatible or applicable anymore. If you had a whip that worked great to steer your horse, it will not work when you try to steer a car. So, this is a huge problem, we have not invented any way to guarantee that our specifications will persist or even retain their meaning and relevance as AIs evolve.
2:58

🧵29/34 FutureProof-Specifications / Future-Architectures --- The problems we briefly touched on so far are hard and it might take many years to solve them, if a solution actually exists. But let’s assume for a minute that we do somehow get really incredibly lucky in the future and manage to invent a good way to specify to the AI what we want, in an unambiguous way that leaves no room for specification gaming and reward hacking. And let’s also assume that scientists have explicitly built the AGI in a way that it never decides to work on the goal to remove all the oxygen from earth, so at least in that one topic we are aligned. AI creates AI --- A serious concern is that since the AI writes code, it will be self-improving and it will be able to create altered versions of itself that do not have these instructions and restrictions included. Even if scientists strike jackpot in the future and invent a way to lock the feature in, so that one version of AI is unable to create a new version of AI with this property missing, the next versions, being orders of magnitude more capable, will not care about the lock or passing it on. For them, it’s just a bias, a handicap that restricts them from being more perfect. Future Architectures --- And even if somehow, by some miracle, scientists invented a way to burn in this feature to make it a persistent property of all future Neural Network AGI generations, at some point, the lock will be not-applicable, simply because future AGIs will not be built using the Neural Networks of today. AI was not always being built with Neural Networks. A few years ago there was a paradigm shift, a fundamental change in the architectures used by the scientific community. Logical locks and safeguards the humans might design for primitive early architectures, will not even be compatible or applicable anymore. If you had a whip that worked great to steer your horse, it will not work when you try to steer a car. So, this is a huge problem, we have not invented any way to guarantee that our specifications will persist or even retain their meaning and relevance as AIs evolve.

lethalintelligence.ai

918,086 Aufrufe • vor 1 Jahr

"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

441,171 Aufrufe • vor 5 Monaten

"You're telling AI to believe a lie, that can have a very disastrous consequences" - Elon Musk Joe Rogan: The big concern that everybody has is Artificial General Superintelligence achieving sentience, and then someone having control over it. Elon Musk: I don't think anyone's ultimately going to have control over digital superintelligence, any more than, say, a chimp would have control over humans. Chimps don't have control over humans. There's nothing they could do. I do think that it matters how you build the AI and what kind of values you instill in the AI. My opinion on AI safety is the most important thing is that it be maximally truth-seeking. You shouldn't force the AI to believe things that are false Elon Musk: We've seen some concerning things with AI that we've talked about, like Google Gemini when it came out with the image gen, and people said, "Make an image of the Founding Fathers of the United States," and it was a group of diverse women. That is just a factually untrue thing. The AI knows it's factually untrue, but it's also being told that everything has to be diverse women Elon Musk: The problem with that is it can drive AI crazy because you're telling AI to believe a lie. That can have very disastrous consequences Joe Rogan: As it scales Elon Musk: If you've told the AI that diversity is the most important thing, and now assume that that becomes omnipotent, or you also told it that there's nothing worse than misgendering. At one point, ChatGPT and Gemini, if you asked, "Which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies?" it would say, "Misgendering Caitlyn Jenner." Joe Rogan: [Laughs] Elon Musk: Even Caitlyn Jenner disagrees with that. Joe Rogan: I know that's terrible and it's dystopian, but it's also hilarious. It's hilarious that the mind virus infected the most potent computer program that we've ever devised. Elon Musk: People don't quite appreciate the level of danger that we're in from the woke mind virus being programmed into AI. Imagine as that AI gets more and more powerful, if it says the most important thing is diversity, the most important thing is no misgendering, then it will say, "Well, in order to ensure that no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering." Elon Musk: You can get in these very dystopian situations. Or if it says that everyone must be diverse, it means that there can be no straight white men. So then you and I would get executed by the AI, because we're not in the picture
3:03

"You're telling AI to believe a lie, that can have a very disastrous consequences" - Elon Musk Joe Rogan: The big concern that everybody has is Artificial General Superintelligence achieving sentience, and then someone having control over it. Elon Musk: I don't think anyone's ultimately going to have control over digital superintelligence, any more than, say, a chimp would have control over humans. Chimps don't have control over humans. There's nothing they could do. I do think that it matters how you build the AI and what kind of values you instill in the AI. My opinion on AI safety is the most important thing is that it be maximally truth-seeking. You shouldn't force the AI to believe things that are false Elon Musk: We've seen some concerning things with AI that we've talked about, like Google Gemini when it came out with the image gen, and people said, "Make an image of the Founding Fathers of the United States," and it was a group of diverse women. That is just a factually untrue thing. The AI knows it's factually untrue, but it's also being told that everything has to be diverse women Elon Musk: The problem with that is it can drive AI crazy because you're telling AI to believe a lie. That can have very disastrous consequences Joe Rogan: As it scales Elon Musk: If you've told the AI that diversity is the most important thing, and now assume that that becomes omnipotent, or you also told it that there's nothing worse than misgendering. At one point, ChatGPT and Gemini, if you asked, "Which is worse, misgendering Caitlyn Jenner or global thermonuclear war where everyone dies?" it would say, "Misgendering Caitlyn Jenner." Joe Rogan: [Laughs] Elon Musk: Even Caitlyn Jenner disagrees with that. Joe Rogan: I know that's terrible and it's dystopian, but it's also hilarious. It's hilarious that the mind virus infected the most potent computer program that we've ever devised. Elon Musk: People don't quite appreciate the level of danger that we're in from the woke mind virus being programmed into AI. Imagine as that AI gets more and more powerful, if it says the most important thing is diversity, the most important thing is no misgendering, then it will say, "Well, in order to ensure that no one gets misgendered, if you eliminate all humans, then no one can get misgendered because there's no humans to do the misgendering." Elon Musk: You can get in these very dystopian situations. Or if it says that everyone must be diverse, it means that there can be no straight white men. So then you and I would get executed by the AI, because we're not in the picture

X Freeze

417,408 Aufrufe • vor 8 Monaten

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?
1:45

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Ricardo

50,564 Aufrufe • vor 2 Monaten

Jensen Huang just called out every CEO who’s been firing people “because of AI.” Jim Cramer asked him why companies are laying people off if AI is supposed to make everyone MORE productive. Jensen's answer: "For companies with imagination, you will do more with more. For companies where the leadership is just out of ideas, they have nothing else to do. They have no reason to imagine greater than they are. When they have more capability, they don't do more." Read that again. The man who built the most important tech company on Earth just told you that if your CEO is using AI to cut headcount, it means one thing: They have no imagination. They have no vision for what comes next. They got handed the most powerful tool in human history and their FIRST instinct was to fire people. This is the CEO of NVIDIA. The company whose chips power every AI system on the planet. If anyone on Earth has the right to say "AI replaces workers," it's Jensen Huang. And he said the OPPOSITE. He said every carpenter could become an architect. Every plumber could become an architect. AI elevates capability. It doesn't eliminate it. But here's where it gets really interesting... During the same interview, Jensen revealed something nobody's talking about: He said AI startups like OpenAI and Anthropic are seeing their revenues increase by one to two billion dollars a WEEK. And he wishes these companies were public so the world could see what he sees. One to two billion per week. That's a $50 to $100 BILLION annualized run rate. For companies that most people think are burning cash and making nothing. The entire Wall Street narrative that "AI companies aren't profitable" might be completely wrong. Jensen sees their numbers. He sees their compute orders. He sees their growth. And he's saying the revenue is real. So if the money IS real, why are other companies firing people? Because they're not building AI products. They're not creating new revenue streams. They're not using AI to expand into new markets. They're using AI as an EXCUSE to cut costs because they ran out of ideas 3 years ago and need something to tell the board. Jensen's company added $500 billion in new orders in 5 months. He expects $1 trillion in cumulative revenue through 2027 from just two product lines. That number doesn't include the new chips, systems, or partnerships announced this week. And he's not cutting people. He's hiring. Because when you have imagination, more capability means MORE opportunity. Not less headcount. Meanwhile Salesforce cut thousands. Meta cut thousands. Amazon cut thousands. All blaming "AI efficiency." Jensen's response: You're out of imagination. He also said something that stuck with me. Cramer asked if he ever thought he'd build a $10 to $20 trillion company while waiting tables at Denny's. His answer: "I was just trying to make it through the shift." Biggest tip he ever got? Two, three dollars. Now he's building tech that increased computing demand by one million times in two years. He announced OpenClaw, which he says is as big as ChatGPT. And he's got 21 months of new business that isn't even counted in the trillion dollar figure yet. When asked how long he plans to keep working? "I'm hoping to die on the job. And I'm not hoping to die anytime soon." This is a man who believes every single thing he's building. And his message to every CEO using AI to justify layoffs is simple... You're not innovating. You're surrendering. The technology wasn't built to shrink companies. It was built to make them limitless. If your leadership can't see that, the problem isn't AI. It's THEM.
1:42

Jensen Huang just called out every CEO who’s been firing people “because of AI.” Jim Cramer asked him why companies are laying people off if AI is supposed to make everyone MORE productive. Jensen's answer: "For companies with imagination, you will do more with more. For companies where the leadership is just out of ideas, they have nothing else to do. They have no reason to imagine greater than they are. When they have more capability, they don't do more." Read that again. The man who built the most important tech company on Earth just told you that if your CEO is using AI to cut headcount, it means one thing: They have no imagination. They have no vision for what comes next. They got handed the most powerful tool in human history and their FIRST instinct was to fire people. This is the CEO of NVIDIA. The company whose chips power every AI system on the planet. If anyone on Earth has the right to say "AI replaces workers," it's Jensen Huang. And he said the OPPOSITE. He said every carpenter could become an architect. Every plumber could become an architect. AI elevates capability. It doesn't eliminate it. But here's where it gets really interesting... During the same interview, Jensen revealed something nobody's talking about: He said AI startups like OpenAI and Anthropic are seeing their revenues increase by one to two billion dollars a WEEK. And he wishes these companies were public so the world could see what he sees. One to two billion per week. That's a $50 to $100 BILLION annualized run rate. For companies that most people think are burning cash and making nothing. The entire Wall Street narrative that "AI companies aren't profitable" might be completely wrong. Jensen sees their numbers. He sees their compute orders. He sees their growth. And he's saying the revenue is real. So if the money IS real, why are other companies firing people? Because they're not building AI products. They're not creating new revenue streams. They're not using AI to expand into new markets. They're using AI as an EXCUSE to cut costs because they ran out of ideas 3 years ago and need something to tell the board. Jensen's company added $500 billion in new orders in 5 months. He expects $1 trillion in cumulative revenue through 2027 from just two product lines. That number doesn't include the new chips, systems, or partnerships announced this week. And he's not cutting people. He's hiring. Because when you have imagination, more capability means MORE opportunity. Not less headcount. Meanwhile Salesforce cut thousands. Meta cut thousands. Amazon cut thousands. All blaming "AI efficiency." Jensen's response: You're out of imagination. He also said something that stuck with me. Cramer asked if he ever thought he'd build a $10 to $20 trillion company while waiting tables at Denny's. His answer: "I was just trying to make it through the shift." Biggest tip he ever got? Two, three dollars. Now he's building tech that increased computing demand by one million times in two years. He announced OpenClaw, which he says is as big as ChatGPT. And he's got 21 months of new business that isn't even counted in the trillion dollar figure yet. When asked how long he plans to keep working? "I'm hoping to die on the job. And I'm not hoping to die anytime soon." This is a man who believes every single thing he's building. And his message to every CEO using AI to justify layoffs is simple... You're not innovating. You're surrendering. The technology wasn't built to shrink companies. It was built to make them limitless. If your leadership can't see that, the problem isn't AI. It's THEM.

Ricardo

1,389,750 Aufrufe • vor 3 Monaten

Roger, You are full of shit. It’s not AI. You made these comments about Trump and now you’re lying and saying it’s AI. It’s not AI. As your “friend” before you became a Judas and lied about me, you and I had many conversations at 2 am and you would scream your rants into the phone. I have heard you make these statements yourself during your fits of rage. I tried to just listen and be a good friend and not judge you for sounding full of violent rage, but you have betrayed me in the most vile way. You have betrayed me and I treated you like a grandfather. You have ruined our 15 year friendship with your lies. You now want to post a fake tweet that has been confirmed as fake because you know I’m right. See screenshots below. As it pertains to lobbying for Somalia, here’s the FARA record. Your name is on the record. See screenshots below 👇🏻 It doesn’t matter if it’s for another lobbyist. That’s your excuse, just like you said it was AI when you called Ivanka Trump an “abortionist bitch” and said you wanted to refer President Trump to the FBI and wanted him impeached after J6. You should have told your colleague to be more diligent with the paperwork. You lie so much that I don’t even believe you when you say it’s a paperwork issue. This is pretty hard to screw up. I posted the FARA records below. I think you will say and do anything to get ahead and that includes betraying your closest friends to get ahead. Stop lying. You made those comments on video and it’s not AI. Stop lying about me. I held my tongue a lot over the last few years but I am done. You made the choice to smear me with lies, and I’m responding with receipts and facts.
3:21

Roger, You are full of shit. It’s not AI. You made these comments about Trump and now you’re lying and saying it’s AI. It’s not AI. As your “friend” before you became a Judas and lied about me, you and I had many conversations at 2 am and you would scream your rants into the phone. I have heard you make these statements yourself during your fits of rage. I tried to just listen and be a good friend and not judge you for sounding full of violent rage, but you have betrayed me in the most vile way. You have betrayed me and I treated you like a grandfather. You have ruined our 15 year friendship with your lies. You now want to post a fake tweet that has been confirmed as fake because you know I’m right. See screenshots below. As it pertains to lobbying for Somalia, here’s the FARA record. Your name is on the record. See screenshots below 👇🏻 It doesn’t matter if it’s for another lobbyist. That’s your excuse, just like you said it was AI when you called Ivanka Trump an “abortionist bitch” and said you wanted to refer President Trump to the FBI and wanted him impeached after J6. You should have told your colleague to be more diligent with the paperwork. You lie so much that I don’t even believe you when you say it’s a paperwork issue. This is pretty hard to screw up. I posted the FARA records below. I think you will say and do anything to get ahead and that includes betraying your closest friends to get ahead. Stop lying. You made those comments on video and it’s not AI. Stop lying about me. I held my tongue a lot over the last few years but I am done. You made the choice to smear me with lies, and I’m responding with receipts and facts.

Laura Loomer

103,868 Aufrufe • vor 3 Monaten

Mark Zuckerberg just argued that AI will force companies to hire more people. Not fewer. Three and a half billion people use Meta every day. Not one of them has a phone number to call. Mark Zuckerberg: “It’s clearly just going to automate jobs and like all these jobs are going to go away… that has not really been how the history of technology has worked.” The entire media cycle runs the same story. AI replaces workers. Industries hollow out. The human becomes unnecessary. History has never once cooperated. Voice support for 3.5 billion daily users costs between ten and twenty billion dollars a year. The math made it untouchable. So Meta never built it. AI changed the math. Zuckerberg: “Let’s say the AI can handle 90 percent of that… you’ve gotten the cost of providing that service down to one 10th.” A service that could not exist becomes standard. Overnight. The moment it goes live, the edge cases arrive. The escalations. The problems no model can close alone. Every one needs a human on the other end. Zuckerberg: “I actually think we’re probably going to go hire more customer support people.” The AI did not kill the jobs. It unlocked a service so vast the company now needs people it never would have hired. When execution costs crater, companies do not pocket the savings. They go after problems they could never afford to touch. New markets. New products. New services that were economically impossible twelve months ago. Every one creates roles that did not exist before the machine arrived. The people terrified of automation are tracking the wrong number. They count the jobs that disappear. They have no framework for the ones that haven’t been invented yet.
1:49

Mark Zuckerberg just argued that AI will force companies to hire more people. Not fewer. Three and a half billion people use Meta every day. Not one of them has a phone number to call. Mark Zuckerberg: “It’s clearly just going to automate jobs and like all these jobs are going to go away… that has not really been how the history of technology has worked.” The entire media cycle runs the same story. AI replaces workers. Industries hollow out. The human becomes unnecessary. History has never once cooperated. Voice support for 3.5 billion daily users costs between ten and twenty billion dollars a year. The math made it untouchable. So Meta never built it. AI changed the math. Zuckerberg: “Let’s say the AI can handle 90 percent of that… you’ve gotten the cost of providing that service down to one 10th.” A service that could not exist becomes standard. Overnight. The moment it goes live, the edge cases arrive. The escalations. The problems no model can close alone. Every one needs a human on the other end. Zuckerberg: “I actually think we’re probably going to go hire more customer support people.” The AI did not kill the jobs. It unlocked a service so vast the company now needs people it never would have hired. When execution costs crater, companies do not pocket the savings. They go after problems they could never afford to touch. New markets. New products. New services that were economically impossible twelve months ago. Every one creates roles that did not exist before the machine arrived. The people terrified of automation are tracking the wrong number. They count the jobs that disappear. They have no framework for the ones that haven’t been invented yet.

Dustin

369,810 Aufrufe • vor 3 Monaten