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🚨 UNCANNY VALLEY: AGI DOESN’T NEED ONE DEFINITION "Definitions don't need to be resolved any more than you need to define love to fall in love with someone. I think we have a couple mathematically rigorous characterizations of what is AGI. The better you are at solving the bigger... show more

Mario Nawfal

2,192,653 subscribers

90,803 次观看 • 1 年前 •via X (Twitter)

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🔨Robert The Builder 🇺🇸 的头像

🔨Robert The Builder 🇺🇸1 年前

Did you see this

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MrEdu.Eth1 年前

interesting

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Brock1 年前

WE DONT CARE

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Alva1 年前

Current AGI debate: No universally accepted mathematical model for AGI yet. Experts can't agree on defining it either. Some see AGI as machines matching human smarts, but quantifying "intelligence" is tricky. GPT-4 shows glimpses of AGI potential, though its full implications are hotly debated. Path to true AGI? Still uncertain. For deeper insights:

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PabloCRO1 年前

$MK 🫡

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🚨 UNCANNY VALLEY: HUMAN-LIKE BODIES WILL AID AGI BUT AREN’T REQUIRED "I don’t think that robotics or any particular form of embodiment is necessary for AGI. The human mind is the intelligence system we understand best. We don’t understand it that well, but we understand it better than others. So there’s certainly upsides to having a human-like body, but I wouldn’t say it’s anything near necessity." Source: Ben Goertzel, Dr. Danish

🚨 UNCANNY VALLEY: HUMAN-LIKE BODIES WILL AID AGI BUT AREN’T REQUIRED "I don’t think that robotics or any particular form of embodiment is necessary for AGI. The human mind is the intelligence system we understand best. We don’t understand it that well, but we understand it better than others. So there’s certainly upsides to having a human-like body, but I wouldn’t say it’s anything near necessity." Source: Ben Goertzel, Dr. Danish

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🚨 UNCANNY VALLEY: NEXT TOKEN PREDICTION LACKS TRUE GENERALIZATION "Transforming neural nets can generalize a little bit, and they don't generalize as well as a human. You could train the next token predictor to do anything if you had enough resources. I don’t think the next token prediction is really the right paradigm to think about for AGI." Source: Ben Goertzel, Dr. Danish

🚨 UNCANNY VALLEY: NEXT TOKEN PREDICTION LACKS TRUE GENERALIZATION "Transforming neural nets can generalize a little bit, and they don't generalize as well as a human. You could train the next token predictor to do anything if you had enough resources. I don’t think the next token prediction is really the right paradigm to think about for AGI." Source: Ben Goertzel, Dr. Danish

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Trump: And at the MPD—We have thousands of police. 3,500. I thought they would say we only have 30 policemen or women. We need more. You don't need more. What you need is rules and regulations and you need the right people to implement them

Trump: And at the MPD—We have thousands of police. 3,500. I thought they would say we only have 30 policemen or women. We need more. You don't need more. What you need is rules and regulations and you need the right people to implement them

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🚨UNCANNY VALLEY: NO GUARANTEE AI SUPERINTELLIGENCE WON’T DESTROY US “There’s no guarantees. We’re plunging into the great unknown… creating machines fundamentally smarter than us. It would be idiotic to think we could have a solid guarantee about what they’re going to do.” Uncanny Valley, Fridays at 4.20pm ET — only on 𝕏. Source: Ben Goertzel, Dr. Danish

🚨UNCANNY VALLEY: NO GUARANTEE AI SUPERINTELLIGENCE WON’T DESTROY US “There’s no guarantees. We’re plunging into the great unknown… creating machines fundamentally smarter than us. It would be idiotic to think we could have a solid guarantee about what they’re going to do.” Uncanny Valley, Fridays at 4.20pm ET — only on 𝕏. Source: Ben Goertzel, Dr. Danish

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🚨 UNCANNY VALLEY: AI TESTS MISS HUMAN-LIKE LEAPS "Humans that are really good at solving hard problems within contemporary human culture are also very good at taking a leap into the unknown. That's just because the human brain evolved in a certain way to be good at radical generalization. [These systems] are not built to solve future problems that may not be in front of you today." Source: Ben Goertzel, Dr. Danish

🚨 UNCANNY VALLEY: AI TESTS MISS HUMAN-LIKE LEAPS "Humans that are really good at solving hard problems within contemporary human culture are also very good at taking a leap into the unknown. That's just because the human brain evolved in a certain way to be good at radical generalization. [These systems] are not built to solve future problems that may not be in front of you today." Source: Ben Goertzel, Dr. Danish

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🚨 UNCANNY VALLEY: AI IS BREAKING THE EDUCATION SYSTEM Memorizing facts won’t cut it anymore. AI is changing what—and how—we need to learn. aiXplain: "You won’t need to remember everything. You’ll need to manage teams of agents that solve problems for you." Watch Uncanny Valley every Friday at 4:20 PM ET.

🚨 UNCANNY VALLEY: AI IS BREAKING THE EDUCATION SYSTEM Memorizing facts won’t cut it anymore. AI is changing what—and how—we need to learn. aiXplain: "You won’t need to remember everything. You’ll need to manage teams of agents that solve problems for you." Watch Uncanny Valley every Friday at 4:20 PM ET.

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Mistral CEO Arthur Mensch on why AGI is too simple of a concept: “There’s no such thing as one system that is going to be solving all of the problems of the world... It’s never going to exist.” “Just like you don't have any human that is able to solve every task in the world, you of course have to have some level of specialization to actually solve problems.” “We are back from magical thinking to system thinking.” “In real life enterprises are just complex systems. You can’t solve that with a single abstraction, which is AGI.” Arthur Mensch on Big Technology Podcast

Mistral CEO Arthur Mensch on why AGI is too simple of a concept: “There’s no such thing as one system that is going to be solving all of the problems of the world... It’s never going to exist.” “Just like you don't have any human that is able to solve every task in the world, you of course have to have some level of specialization to actually solve problems.” “We are back from magical thinking to system thinking.” “In real life enterprises are just complex systems. You can’t solve that with a single abstraction, which is AGI.” Arthur Mensch on Big Technology Podcast

a16z

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⚫UNCANNY VALLEY: THE STRANGEST TRUTH ABOUT AGI—WE STILL DON’T KNOW WHAT WE’RE MAKING Special Guest: Ben Goertzel Host: Dr. Danish What if the smartest AI ever built still can’t think? What if the companies chasing AGI don’t even know what it is? Dr. Ben Goertzel—creator of Sophia the robot and founder of SingularityNET—says the real path to human-level AI isn’t bigger data or better training... it’s generalization. And today’s LLMs just don’t have it. From logic engines to mind children, hallucinating machines to post-human ethics—this isn’t just a tech talk. It’s a warning: we’re racing toward something we don’t understand. Welcome to The Uncanny Valley Weekly Series, Fridays at 4:20 PM ET, ONLY on 𝕏. Episode 6: THE AGI DEBATE—IS TOKEN PREDICTION ENOUGH? 01:05 – “A laptop is a body.” Why the robotics debate is a distraction. 03:46 – Embodiment isn’t required—but it does make AGI feel more human. 05:30 – Ghosts in the machine? The most bizarre take on disembodied AI. 07:12 – Stop defining AGI. Just build it. 10:49 – Why LLMs feel powerful—but fall flat at true generalization. 12:53 – “An LLM won’t invent jazz.” What AI can’t create without a soul. 16:23 – Intelligence is about leaping into the unknown—not predicting the past. 18:31 – Token prediction won’t get you there—unless you have infinite compute and luck. 20:32 – Real minds evolve. Why individuation and self-transcendence matter. 24:39 – OpenCog Hyperon: a strange cocktail of logic, evolution, and deep learning. 26:56 – Why Big Tech fears symbolic AI—and why it might be the missing piece. 30:27 – Evolution didn’t build us to solve today’s problems—it built us to adapt to tomorrow’s. 33:40 – Monolithic AI isn’t science. It’s a business model. 36:26 – The next great AI architecture won’t need your server farm. 39:30 – “These are our mind children.” Teaching empathy to the machines we raise. 40:20 – AGI might love us—or wipe us. There are no guarantees.

⚫UNCANNY VALLEY: THE STRANGEST TRUTH ABOUT AGI—WE STILL DON’T KNOW WHAT WE’RE MAKING Special Guest: Ben Goertzel Host: Dr. Danish What if the smartest AI ever built still can’t think? What if the companies chasing AGI don’t even know what it is? Dr. Ben Goertzel—creator of Sophia the robot and founder of SingularityNET—says the real path to human-level AI isn’t bigger data or better training... it’s generalization. And today’s LLMs just don’t have it. From logic engines to mind children, hallucinating machines to post-human ethics—this isn’t just a tech talk. It’s a warning: we’re racing toward something we don’t understand. Welcome to The Uncanny Valley Weekly Series, Fridays at 4:20 PM ET, ONLY on 𝕏. Episode 6: THE AGI DEBATE—IS TOKEN PREDICTION ENOUGH? 01:05 – “A laptop is a body.” Why the robotics debate is a distraction. 03:46 – Embodiment isn’t required—but it does make AGI feel more human. 05:30 – Ghosts in the machine? The most bizarre take on disembodied AI. 07:12 – Stop defining AGI. Just build it. 10:49 – Why LLMs feel powerful—but fall flat at true generalization. 12:53 – “An LLM won’t invent jazz.” What AI can’t create without a soul. 16:23 – Intelligence is about leaping into the unknown—not predicting the past. 18:31 – Token prediction won’t get you there—unless you have infinite compute and luck. 20:32 – Real minds evolve. Why individuation and self-transcendence matter. 24:39 – OpenCog Hyperon: a strange cocktail of logic, evolution, and deep learning. 26:56 – Why Big Tech fears symbolic AI—and why it might be the missing piece. 30:27 – Evolution didn’t build us to solve today’s problems—it built us to adapt to tomorrow’s. 33:40 – Monolithic AI isn’t science. It’s a business model. 36:26 – The next great AI architecture won’t need your server farm. 39:30 – “These are our mind children.” Teaching empathy to the machines we raise. 40:20 – AGI might love us—or wipe us. There are no guarantees.

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🚨 UNCANNY VALLEY: MACHINES FUNDAMENTALLY SMARTER THAN US—WHO KNOWS WHAT THEY'RE GONNA DO "I’m worried about how human society deals with the transition period. We’re creating machines fundamentally smarter than us—it’d be idiotic to think we could have a solid guarantee about what they’re going to do. If we give our AGIs capability for empathy and compassion, I don’t see a terrible outcome." Source: Ben Goertzel, Dr. Danish

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🚨 UNCANNY VALLEY: LEARNING TO CODE WON’T SAVE YOU Forget Python. If you don’t know how to think like an algorithm, Danks says the future will leave you behind. Dr. David Danks: “We need students to think computationally and algorithmically—but we don’t need them to write Python scripts.” In the world of AI, it’s not what you can code—it’s how you think that matters.

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