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Schmidhuber: "Well, large language models are far from AGI. LLMs large language models such as ChatGPT. They are just a clever way of indexing the world's existing human generated knowledge, such that it can easily be addressed through in a way that humans are familiar with, which is natural... language. That's good enough to facilitate many desktop jobs, for example, writing summaries of existing documents in a particular style, or creating illustrations or an article. And and so on. However true AGI goes far beyond that. It is much harder, for example, to replace craftsmen such as plumbers or electricians, because the real world, the physical world, is much more challenging than the world behind the screen. At the moment, the only Al that works well is behind the screen, and it's good for desktop to desktop workers. But but not really for for people working in the physical world."show more

Goran Majić

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Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?

Without World Models, There Is No AGI. Google Just Proved It. If AGI ever happens, it will not come from bigger chatbots alone. From the very start of this interview, one thing is crystal clear: without world models, we will never reach AGI. And right now, Google is leading with its world simulator Genie 3. Here is the core of what Demis Hassabis explains in this conversation: • World models are the missing core of AGI Hassabis says his deepest long term focus has always been world models and simulations. Not just language. Not just prediction. Actual internal simulations of reality. • LLMs are impressive, but incomplete Language models understand more about the world than expected because human language encodes a lot of reality. Still, language is only a shadow of the real thing. • What text can never fully teach Reality includes things text struggles to express: •3D space and spatial dynamics •Physical causality and mechanics •Sensorimotor experience like movement, force, smell, or balance • Experience beats description To close the gap, AI must learn from interaction and experience, not just static text. That is how you build an internal world simulator. • Why Genie 3 matters With Google DeepMind pushing systems like Genie 3, AI starts to model reality itself, not just talk about it. • Robots and real world assistants depend on this True robotics, smart glasses, and universal assistants require AI that understands the physical world you live in, not just your screen. Bottom line: AGI will not emerge from better text prediction. It will emerge from systems that can simulate, predict, and understand reality itself. Right now, Google is clearly ahead on that path. Curious what you think. Are world models the real AGI unlock, or just another stepping stone?

VraserX e/acc

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"Yes, it’s too soon to tell, but it is interesting that large language models, as opposed to social media, have tended to be much more aligned with what we would consider objective reality and truth. That is, I think it’s not so easy to get a large language model to endorse a ridiculous conspiracy theory, such as that the 2020 U.S. election was stolen or that COVID vaccines are actually microchips that Bill Gates is implanting to surveil us. All of those ideas are very easy to find on social media. And it may indeed be, as you say, that large language models tend to gravitate toward common priors—namely, all the knowledge that’s out there on the web. But, in particular, during pre-training and post-training—the fine-tuning process—they are engineered to be aligned with truth and reality. And that is because the AI companies have a different business model than the social media companies." From an episode of Scaling Theory with Thibault Schrepel: Steven Pinker on Common Knowledge, From Eye Contact to the Super Bowl

"Yes, it’s too soon to tell, but it is interesting that large language models, as opposed to social media, have tended to be much more aligned with what we would consider objective reality and truth. That is, I think it’s not so easy to get a large language model to endorse a ridiculous conspiracy theory, such as that the 2020 U.S. election was stolen or that COVID vaccines are actually microchips that Bill Gates is implanting to surveil us. All of those ideas are very easy to find on social media. And it may indeed be, as you say, that large language models tend to gravitate toward common priors—namely, all the knowledge that’s out there on the web. But, in particular, during pre-training and post-training—the fine-tuning process—they are engineered to be aligned with truth and reality. And that is because the AI companies have a different business model than the social media companies." From an episode of Scaling Theory with Thibault Schrepel: Steven Pinker on Common Knowledge, From Eye Contact to the Super Bowl

Steven Pinker

58,225 Aufrufe • vor 2 Monaten

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

Why LLMs are a dead end for human-level intelligence, and especially for Physical AI / Robotics. The next leap isn’t bigger language models. It’s World Models. I just dropped a full 1-hour presentation from Shanghai: “World Models: the ChatGPT moment for robotics?” → Why LLMs hit a wall → Why action-conditioned world models planning in latent space are the real path → Live World Forge demo with LeWorldModel + Hugging Face LeRobot Watch here. The future of intelligence is embodied, not just chatty.

abdel

38,919 Aufrufe • vor 3 Monaten

We are hosting the Visual Intelligence Summit on October 22 in SF. The physical world is AI's biggest opportunity and the best way to advance humanity in our lifetimes. Few people are building for AI beyond the screen. The Summit is for the people who see it differently and want to be at the frontier of bringing AI into the physical world. If you’re building for that future, join us.

We are hosting the Visual Intelligence Summit on October 22 in SF. The physical world is AI's biggest opportunity and the best way to advance humanity in our lifetimes. Few people are building for AI beyond the screen. The Summit is for the people who see it differently and want to be at the frontier of bringing AI into the physical world. If you’re building for that future, join us.

Roboflow

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.Balaji says AI verification is much harder in the digital world than it is for the physical world: "AI for the physical world is very verifiable because the thing is, the digital world is fundamentally decentralized in a way the physical world isn't." "There's only one physical world. You can say: did the AI move this box from this pallet to that pallet? That is something where you can probably get it to 100% over time." "By contrast, in the digital world, there are all these people who live in their own constructed environments." "How do you know when you're done with your to-do list? That's harder. Those things are fuzzier."

.Balaji says AI verification is much harder in the digital world than it is for the physical world: "AI for the physical world is very verifiable because the thing is, the digital world is fundamentally decentralized in a way the physical world isn't." "There's only one physical world. You can say: did the AI move this box from this pallet to that pallet? That is something where you can probably get it to 100% over time." "By contrast, in the digital world, there are all these people who live in their own constructed environments." "How do you know when you're done with your to-do list? That's harder. Those things are fuzzier."

a16z

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Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Demis Hassabis on the limit in today’s AI: language can describe the world, but it cannot contain it - and why "World Models" are his "longest standing passion". Language models absorbed far more structure about reality from text than many researchers expected, because human language quietly carries physics, psychology, culture, tools, plans, and cause-and-effect. But text is still a compressed residue of experience, not experience itself. A sentence can say a cup falls from a table, yet it does not fully encode weight, grip, balance, friction, timing, sound, surprise, or the tiny motor corrections a body makes before it even notices them. The world is not only made of facts that can be named; it is made of constraints that have to be lived through, touched, predicted, violated, and repaired. That is why world models matter. They aim to learn the hidden grammar of physical reality: how objects persist, how forces unfold, how space changes when an agent moves, and how action creates feedback. Language models can often reason about the world because people have written so much about it. World models try to learn what the world is like before it becomes words. The difference is exactly what matters because intelligence is not just answering well; it is knowing what would happen next if you moved, reached, pushed, smelled, slipped, or failed. A mind trained only on descriptions may become brilliant at explanation. A mind trained on experience may become better at consequence. --- Full video from "Google DeepMind" and "Hannah Fry" YT channel (link in comment)

Rohan Paul

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Demis on why world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️

Demis on why world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️

Bearly AI

78,545 Aufrufe • vor 3 Monaten

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Bearly AI

123,703 Aufrufe • vor 8 Monaten

Demis Hassabis on why world models are his longest standing passion and the benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ *** From the Google DeepMind podcast in December 2025.

Demis Hassabis on why world models are his longest standing passion and the benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ *** From the Google DeepMind podcast in December 2025.

Bearly AI

65,630 Aufrufe • vor 29 Tagen

Marco Rubio: One of the criticisms you sometimes hear of communism, for example, is that it sounds good in theory, but it never works in practice. That's actually not true. Communism does not sound good in theory. The world it envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul. The world it envisions is a world without courage. A world without creativity or ambition. A world without heroes or glory or great causes to strive towards. A world without miracles, without myths, without men who rise above the rest to do incredible and extraordinary things. And the world communism envisions is a world without God.

Marco Rubio: One of the criticisms you sometimes hear of communism, for example, is that it sounds good in theory, but it never works in practice. That's actually not true. Communism does not sound good in theory. The world it envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul. The world it envisions is a world without courage. A world without creativity or ambition. A world without heroes or glory or great causes to strive towards. A world without miracles, without myths, without men who rise above the rest to do incredible and extraordinary things. And the world communism envisions is a world without God.

Clash Report

30,232 Aufrufe • vor 1 Monat

A new SEO tactic people are doing is they're making pages with “Reddit” in the URL slug, “Reddit” in the page title, “Reddit” in the H1… They are literally targeting the long searches that ChatGPT or other LLMs do which contain “Reddit.” Large language models will do searches that have the word “Reddit” in them. But the large language models won't search the site Reddit, they will just search Google for searches plus the word “Reddit.” So SEOs target these exact searches. Then of course, a bunch of Reddit results will come up, but their results come up as well, then they can influence the output from large language models. Crazy tactic, credit to the legendary SEO, David G Quaid (SEO), for sharing this.

A new SEO tactic people are doing is they're making pages with “Reddit” in the URL slug, “Reddit” in the page title, “Reddit” in the H1… They are literally targeting the long searches that ChatGPT or other LLMs do which contain “Reddit.” Large language models will do searches that have the word “Reddit” in them. But the large language models won't search the site Reddit, they will just search Google for searches plus the word “Reddit.” So SEOs target these exact searches. Then of course, a bunch of Reddit results will come up, but their results come up as well, then they can influence the output from large language models. Crazy tactic, credit to the legendary SEO, David G Quaid (SEO), for sharing this.

Edward Sturm

36,737 Aufrufe • vor 2 Monaten

📁 Yann LeCun says that AGI does not exist and is a poorly defined concept built around an idealized view of human intelligence. He argues that humans are highly specialized, good at navigating the physical and social world, but weak at many other tasks. We seem general only because we can imagine the problems we are good at. For LeCun, AGI mistakes human limits for universal laws of intelligence.

📁 Yann LeCun says that AGI does not exist and is a poorly defined concept built around an idealized view of human intelligence. He argues that humans are highly specialized, good at navigating the physical and social world, but weak at many other tasks. We seem general only because we can imagine the problems we are good at. For LeCun, AGI mistakes human limits for universal laws of intelligence.

Jon Hernandez

28,104 Aufrufe • vor 8 Monaten

🚨 Sec. Marco Rubio just NAILED IT: "One of the criticisms you sometimes hear of communism is that it 'sounds good in theory, but it never works in practice.'" "That's actually NOT TRUE. Communism does NOT sound good in theory. The world that envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul." "The world that envisions is a world without courage, a world without creativity, or ambition, a world without heroes, or glory, or great causes to strive towards, without a world without miracles, without men who rise above the rest to do incredible and extraordinary things." "And the world communism envisions is a world without God." "For these architects of revolutionary violence, the towering achievement of our civilization, for them, it's an unbearable humiliation, a reminder of what they cannot do and a reminder of what they cannot be. So they choose instead to destroy." 💯

🚨 Sec. Marco Rubio just NAILED IT: "One of the criticisms you sometimes hear of communism is that it 'sounds good in theory, but it never works in practice.'" "That's actually NOT TRUE. Communism does NOT sound good in theory. The world that envisions for all of us is small, flat, gray, leveled of all exception, drained of all that is good and noble in the human soul." "The world that envisions is a world without courage, a world without creativity, or ambition, a world without heroes, or glory, or great causes to strive towards, without a world without miracles, without men who rise above the rest to do incredible and extraordinary things." "And the world communism envisions is a world without God." "For these architects of revolutionary violence, the towering achievement of our civilization, for them, it's an unbearable humiliation, a reminder of what they cannot do and a reminder of what they cannot be. So they choose instead to destroy." 💯

Eric Daugherty

355,050 Aufrufe • vor 1 Monat

Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.

Google presents AudioPaLM: A Large Language Model That Can Speak and Listen paper page: introduce AudioPaLM, a large language model for speech understanding and generation. AudioPaLM fuses text-based and speech-based language models, PaLM-2 [Anil et al., 2023] and AudioLM [Borsos et al., 2022], into a unified multimodal architecture that can process and generate text and speech with applications including speech recognition and speech-to-speech translation. AudioPaLM inherits the capability to preserve paralinguistic information such as speaker identity and intonation from AudioLM and the linguistic knowledge present only in text large language models such as PaLM-2. We demonstrate that initializing AudioPaLM with the weights of a text-only large language model improves speech processing, successfully leveraging the larger quantity of text training data used in pretraining to assist with the speech tasks. The resulting model significantly outperforms existing systems for speech translation tasks and has the ability to perform zero-shot speech-to-text translation for many languages for which input/target language combinations were not seen in training. AudioPaLM also demonstrates features of audio language models, such as transferring a voice across languages based on a short spoken prompt.

AK

290,517 Aufrufe • vor 3 Jahren

Creating a government and a nation that works for all is not utopian. We are the richest country in the history of the world – and it belongs to all of us. We can and must create a world that works for everyone, not just the billionaires.

Creating a government and a nation that works for all is not utopian. We are the richest country in the history of the world – and it belongs to all of us. We can and must create a world that works for everyone, not just the billionaires.

Sen. Bernie Sanders

346,839 Aufrufe • vor 2 Jahren

Investigative journalist Whitney Webb: BlackRock is attempting to establish complete control over the natural world under the guise of "saving the planet". "BlackRock being able to unlock and take control of as many natural assets as possible... is obviously a way for them to... expand their control over not just people and the existing financial system, but really over the natural world as well." "The goal, as [BlackRock CEO Larry Fink] has stated, is to have all of this on a universal ledger... and have it be trackable and surveillable." "The natural world is vast and huge, and they're financialising it all—framing it as the only way to save the planet, but really it's the only way for them to save their insane debt racket."

Investigative journalist Whitney Webb: BlackRock is attempting to establish complete control over the natural world under the guise of "saving the planet". "BlackRock being able to unlock and take control of as many natural assets as possible... is obviously a way for them to... expand their control over not just people and the existing financial system, but really over the natural world as well." "The goal, as [BlackRock CEO Larry Fink] has stated, is to have all of this on a universal ledger... and have it be trackable and surveillable." "The natural world is vast and huge, and they're financialising it all—framing it as the only way to save the planet, but really it's the only way for them to save their insane debt racket."

Wide Awake Media

218,795 Aufrufe • vor 1 Jahr

SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.

SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.

MTS

11,676 Aufrufe • vor 3 Monaten

“There are only two religions on earth” Interesting take.. In both scenarios the true essence of ascending from oneself or one’s life is through the process of becoming closer to that which is greater than self. Either by mirroring God through your life or by removing the ego in the present moment to shift your consciousness in such a way that you share the same space with the Creator. In both of these scenarios there starts with the belief or faith that there is a something greater than “I” or self. It is a way of being, a path taken. It is not “religion” or “books” that save us, these are only guides or guardrails. But it is within our own being the ability to ascend, or create that relationship. Not through good deeds and donating to charity or receipting every Bible verse, but an internal alignment of values, a perspective that seeks Truth, Life and wholeness in ALL things, not for profit or personal gain but because it IS the way of the universe. Humans have free will, the ability to choose, and it is this choice that gives us the power, the power to change or stay the same. It all starts within.

“There are only two religions on earth” Interesting take.. In both scenarios the true essence of ascending from oneself or one’s life is through the process of becoming closer to that which is greater than self. Either by mirroring God through your life or by removing the ego in the present moment to shift your consciousness in such a way that you share the same space with the Creator. In both of these scenarios there starts with the belief or faith that there is a something greater than “I” or self. It is a way of being, a path taken. It is not “religion” or “books” that save us, these are only guides or guardrails. But it is within our own being the ability to ascend, or create that relationship. Not through good deeds and donating to charity or receipting every Bible verse, but an internal alignment of values, a perspective that seeks Truth, Life and wholeness in ALL things, not for profit or personal gain but because it IS the way of the universe. Humans have free will, the ability to choose, and it is this choice that gives us the power, the power to change or stay the same. It all starts within.

Drewski

13,024 Aufrufe • vor 8 Monaten

Lando: “In a way I wanted to keep number 4 because I'm just happy with that and it goes well with my logo. So that's how straightforward I am. But I will go with number 1. Because I have to. I have to. It could be my only opportunity in my life that I get to do such a thing. Not many people in the world get to do that kind of thing. And it's not for me. It's just for my mechanics. This is for my engineers. It's the fact that they get to run with the number 1 on the car. And I think it'll mean a lot more to them than it does to me as a number. And for me, that's a lot more important.”

naenia ¹ ⁶³

1,648,285 Aufrufe • vor 9 Monaten