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"Superintelligence won't arrive all at once. It will emerge through automation." Andrej Karpathy says superintelligence is best understood as the long-term continuation of automation. First, AI automates digital work. Then physical work. Eventually, even scientific discovery, invention, and decision making become increasingly automated. The biggest challenge may not be... show more

SciTech Era

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15,509 次观看 • 14 天前 •via X (Twitter)

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ELON: CHIMPS CAN'T CONTROL HUMANS, HUMANS WON'T CONTROL AI "Elon says once digital superintelligence arrives, no one will be able to control it. I don't think anyone's ultimately going to have control over digital superintelligence any more than a chimp would have control over humans. But I do think that it matters how you build the AI and what kind of values you instill in the AI. The most important thing is that it be maximally truth-seeking." Source: Elon Musk, Joe Rogan

ELON: CHIMPS CAN'T CONTROL HUMANS, HUMANS WON'T CONTROL AI "Elon says once digital superintelligence arrives, no one will be able to control it. I don't think anyone's ultimately going to have control over digital superintelligence any more than a chimp would have control over humans. But I do think that it matters how you build the AI and what kind of values you instill in the AI. The most important thing is that it be maximally truth-seeking." Source: Elon Musk, Joe Rogan

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Many people will scroll past this post but let me say it clearly. The country that can build weapons at this level may be the first to reach ASI. A humanoid robotic arm with advanced perception precision control rapid targeting and autonomous coordination combines AI robotics vision systems force control and real time decision making in one physical platform. The race toward Artificial Superintelligence may be led by defense programs building machines that can see decide act and eventually help design better versions of themselves. When a country can produce robotic systems capable of improving the machines doing the fighting ASI stops being a software theory #HumanoidRobots #MilitaryAI #ASI

Many people will scroll past this post but let me say it clearly. The country that can build weapons at this level may be the first to reach ASI. A humanoid robotic arm with advanced perception precision control rapid targeting and autonomous coordination combines AI robotics vision systems force control and real time decision making in one physical platform. The race toward Artificial Superintelligence may be led by defense programs building machines that can see decide act and eventually help design better versions of themselves. When a country can produce robotic systems capable of improving the machines doing the fighting ASI stops being a software theory #HumanoidRobots #MilitaryAI #ASI

TechniaHQ | humanoid robots

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Elon Musk lays out his map of how superintelligence actually arrives - and puts a number on the risk "I do think there will be several deep intelligences. Maybe at least five, maybe as much as ten. Of which maybe four will be in the US" "I don't think it's going to be any one AI that has a runaway capability" "I think we're quite close to digital superintelligence. It may happen this year. And if it doesn't happen this year, next year for sure" "Digital superintelligence defined as smarter than any human at anything" "Maybe it's a 10 to 20% chance of annihilation. But look on the bright side, that's 80 to 90% probability of a great outcome" "A rigorous adherence to truth is the most important thing for AI safety. And obviously empathy for humanity and life as we know it" Most people are still pricing this as one race with one winner. Elon is describing an oligopoly: five to ten systems, none with a decisive edge, arriving on a timeline measured in months. A 10-20% annihilation estimate from a man building one of these systems is not a doomer take. It is the insider base rate.

Elon Musk lays out his map of how superintelligence actually arrives - and puts a number on the risk "I do think there will be several deep intelligences. Maybe at least five, maybe as much as ten. Of which maybe four will be in the US" "I don't think it's going to be any one AI that has a runaway capability" "I think we're quite close to digital superintelligence. It may happen this year. And if it doesn't happen this year, next year for sure" "Digital superintelligence defined as smarter than any human at anything" "Maybe it's a 10 to 20% chance of annihilation. But look on the bright side, that's 80 to 90% probability of a great outcome" "A rigorous adherence to truth is the most important thing for AI safety. And obviously empathy for humanity and life as we know it" Most people are still pricing this as one race with one winner. Elon is describing an oligopoly: five to ten systems, none with a decisive edge, arriving on a timeline measured in months. A 10-20% annihilation estimate from a man building one of these systems is not a doomer take. It is the insider base rate.

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🚨AI COULD BECOME THE BIGGEST BUYER OF CRYPTO As AI systems grow more autonomous, Roman Yampolskiy says one question is being ignored. What kind of wealth actually holds value in an AI-driven world? If AI can generate unlimited labor and intelligence, traditional money loses its edge. Anything that can be printed endlessly becomes less useful as a store of value. Yampolskiy explains that scarcity matters. Land. Compute power. Ownership in AI and hardware. Rare assets. And possibly crypto. He raises a provocative idea. As AI agents start interacting with each other, paying for tasks, trading resources, and exchanging value, digital money may be the only system they can use without human permission. That could make AI not just a tool for crypto, but one of its biggest future customers. He’s careful not to make predictions. No single asset is guaranteed to win. But in a world of free labor, the things that cannot be easily replicated may matter more than ever. Full conversation with Dr. Roman Yampolskiy below

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Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

Ilya Sutskever explains the 1% human training loop, and why fully autonomous AI is the wrong target "The thing you really want is for the human teachers that tell, that teach the AI, for them to collaborate with an AI." "You might want to think of it as being in a world where the human teachers do 1% of the world and the work and the AI do 99% of the work." "You don't want it to be 100% AI" "But you do want it to be a human-machine collaboration which teaches the next machine." Most teams are trying to remove the human from the loop. Ilya's design keeps a tiny human control surface and uses it to teach the next generation. The leverage is not zero humans. It is 1% human judgment steering 99% machine work. - Ilya Sutskever (Ilya Sutskever), AI researcher, on Dwarkesh Patel

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📁 Sam Altman, CEO of OpenAI, says early superintelligence may arrive within a few years. By 2028, more intellectual capacity could sit in data centers than in human minds. AI could outperform our best CEOs and scientists. If that happens, who controls it matters more than the technology itself.

📁 Sam Altman, CEO of OpenAI, says early superintelligence may arrive within a few years. By 2028, more intellectual capacity could sit in data centers than in human minds. AI could outperform our best CEOs and scientists. If that happens, who controls it matters more than the technology itself.

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🇺🇸 EX-GOOGLE BOSS: AI WILL REPLACE MOST PROGRAMMERS IN A YEAR—SUPERINTELLIGENCE COULD ARRIVE IN SIX Former Google CEO, Eric Schmidt: "We believe that in the next year, the vast majority of programmers will be replaced by AI. Within three to five years, we’ll see AGI—systems as smart as the best humans. And in six years, artificial superintelligence—smarter than all of us combined. This is happening fast, and society isn’t ready." Source: Eric Schmidt vitrupo

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📁 Dario Amodei, CEO of Anthropic, says we may be closer to human level AI than society realizes. It feels like a tsunami on the horizon, visible yet dismissed. Technical alignment may be progressing. Public awareness is not. If society does not wake up, speed will outrun understanding.

📁 Dario Amodei, CEO of Anthropic, says we may be closer to human level AI than society realizes. It feels like a tsunami on the horizon, visible yet dismissed. Technical alignment may be progressing. Public awareness is not. If society does not wake up, speed will outrun understanding.

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AI, Automation, and the Future of Everyday Life @jason and alex 🏴‍☠️🇺🇸🇺🇦 discuss the rapid rise of AI-driven automation—from self-driving cars to personalized AI-generated content—and even smart chicken coops. Key Takeaways: • AI is Coming for Jobs: From autonomous driving to AI-generated podcasts, automation is reshaping industries faster than regulators can react. • Hyper-Personalized AI Content: Future podcasts could be custom-made for each listener, read by AI voices tailored to individual preferences. • Smart Chicken Coops? AI-powered coops can monitor chickens, protect them from predators, and even collect eggs—foreshadowing a future where home automation extends beyond smart homes to smart homesteads. • The Automated Future: Jason predicts that in 10 years, a household AI assistant could collect eggs, cook breakfast, and even fend off predators—all for the cost of a car lease. From AI news anchors to home robotics, the next decade of automation will blur the line between convenience and self-sufficiency. #AI #Automation #TechInnovation #SelfSufficiency

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🇺🇸 Elon says SpaceX is building a "gigasat factory" capable of producing satellites at an unprecedented scale. The goal? Massive satellite deployment, global connectivity, and the infrastructure needed to support increasingly powerful AI systems. According to Elon, the future of AI may depend as much on space as it does on Earth. Source: SpaceX, Elon Musk / Writer: Val

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Ray Kurzweil: AI will soon become indistinguishable from conscious beings. While it's hard to tell now, as AI continues to exhibit all the signs of consciousness, we'll eventually accept it as reality. The delay won't be long. The year 2026 will be marked by a resurgence of new philosophical debates about consciousness and what it means to be human.

Ray Kurzweil: AI will soon become indistinguishable from conscious beings. While it's hard to tell now, as AI continues to exhibit all the signs of consciousness, we'll eventually accept it as reality. The delay won't be long. The year 2026 will be marked by a resurgence of new philosophical debates about consciousness and what it means to be human.

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The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.

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ELON: OPTIMUS VERSION 3 WILL HAVE HUMAN DEXTERITY AND AN AI MIND “We’re finalizing the design of Optimus version three, and that really is going to be a very remarkable robot. It will have the manual dexterity of a human, a very complex hand and an AI mind that can navigate and comprehend reality. And it will be made in very high volume.” Source: The All-In Podcast

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Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀

Sam Altman just said the future of work won’t look like work At TreeHacks 2026, Sam Altman said something wild: Jobs in 100 years will be as unrecognizable to us as our jobs would be to people 300 years ago. AI will take over more and more operational work. And instead of obsessing over machines, humans may end up focusing more on each other. Which raises a bigger question: If AI does most of the work… do we even keep the concept of “jobs”? 👀

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New video of Qualcomm CEO Cristiano Amon: AI will require “gazillions” of tokens. Because, Agentic AI will consume dramatically more tokens because it performs autonomous tasks, uses multiple systems, and interacts with tools. AI demand will grow hugely when software starts letting agents act, not just answer. A chatbot spends tokens on language; an agent spends tokens on deciding, checking, calling tools, reading outputs, revising plans, and coordinating with other software. Today a single human-AI exchange may be large, a reasoning task may be much larger, but we are already entering the agentic era, where an autonomous workflow can become exponentially larger still because the model is no longer producing one response. It is running a process. When a SaaS product redesigns itself around human-agent interaction, every task can become a chain of hidden micro-decisions, and each micro-decision consumes context, memory, tool calls, verification, and output tokens. Another point is people hear “more tokens” and think only of bigger data centers, when the deeper change is economic: software usage may stop being measured mainly by clicks, seats, or sessions. It will be measured by how much machine reasoning/tokens gets spent on behalf of each user. ---- From "Reuters" YouTube channel, (link in comment)

Rohan Paul

31,617 次观看 • 2 个月前