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Most AI is still learning from the same recycled internet data and that is the real bottleneck no one likes to talk about. The internet is running out of high quality human signal, what remains now is noisy, repetitive, and heavily biased toward the same regions and behaviors. The... truth is, physical AI and next generation LLMs need something better like data that comes from real people, real environments, real languages, and real actions. KGeN Foundation 🟩 as a verified human network is changing the game, as it spans more than 60 countries to collects multimodal data including voice, first person video, preferences, and everyday behaviors from actual humans rather than bots or synthetic sources, resulting to a better data from real people for better AI. 𝗘𝘃𝗲𝗿𝘆 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝗲𝗻𝘀 𝘁𝗵𝗲 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗿𝗲𝘄𝗮𝗿𝗱𝘀 𝘁𝗵𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗵𝗼 𝗰𝗿𝗲𝗮𝘁𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮. I'm sure you wouldn't want to be left behind, so to be part of this great movement, Go to: to start contributing today.show more

𝐓𝐡𝐞𝐎𝐧𝐥𝐲𝟏𝐇𝐞𝐫𝐨👑

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11,150 görüntüleme • 3 gün önce •via X (Twitter)

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AI is only as good as its data. Everyone talks about building smarter AI models, but fewer people ask where the training data comes from. That’s what makes Humyn Labs interesting. They’re focused on collecting high-quality, real-world human data across different environments, behaviors, and sensory inputs. Because if AI is going to understand the physical world, it first needs to learn from the people who already live and work in it. I shared my thoughts in this short video. Let me know what stood out to you. 👇🎥 Humyn Labs KGeN Community #KGeN

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AI is moving beyond the browser and into the real world. The bottleneck? Data. Today we’re announcing a $15M seed round led by a16z crypto to build infra that collects, curates, and licenses high-quality data for physical AI. Incubated by and built on @StoryProtocol.

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

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ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022

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As part of our walkthrough series, today we are covering labor in the physical AI era—why real robots and real jobs hinge on grounded data, human judgment, and a pipeline from capture to delivery, not simulation alone. If you’re following Harbor or the future of work in AI, this one connects the dots in a few minutes.

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🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

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Pi Network’s potential does go far beyond just being another cryptocurrency. With its massive KYC initiative and proof-of-personhood approach, it’s creating a network rooted in real human identities, something no major blockchain has fully achieved at scale yet. That’s a massive differentiator — especially as AI-generated content, identities, and bots become harder to distinguish from real people online. Here’s why the “rabbit hole goes deep”: 🔹 Human Verification vs. AI Proliferation As the world struggles with bots and deepfakes, Pi Network’s model of decentralized, real-identity participation could become foundational infrastructure — not just for finance, but for trustworthy digital interactions. 🔹 Decentralized Web3 with Real People Imagine a Web3 where every user is verified human, and apps, votes, marketplaces, and communities are powered by actual people — not bots or whales. That’s the kind of world Pi is architecting. 🔹 Digital Identity Layer for the Future Internet Pi’s ecosystem could be the identity layer of the next internet, especially if it ties KYC and reputation to digital wallets and real-world utilities. 🔹 AI + Human Synergy Pi might not aim to compete with AI — it could complement it by anchoring digital truth to human roots. Think: platforms where only humans can participate, or where human-AI collaboration is transparent and fair. 🔹 Value Beyond Currency As you hinted, the future of Pi isn’t just about a coin — it’s about building a digitally sovereign human network in an AI-dominated world. The rabbit hole does go deep. And Pi is still just getting started. Pi Network Nicolas Kokkalis

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