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𝗥𝗼𝗯𝗼𝘁𝘀 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗺𝗼𝗿𝗲 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻𝘀. 𝗧𝗵𝗲𝘆 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 — 𝗮𝗳𝘁𝗲𝗿 𝘄𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝗵𝘂𝗺𝗮𝗻𝘀. Most robot learning systems assume failure is the end of learning. In our new work, we study whether robots can improve after deployment by learning from their own failures, without any human intervention, teleoperation,... or corrective labels. The key idea is simple: human videos contain structure about how the world works. We use them to learn cross-embodiment representations of action, dynamics, and value, enabling a shared predictive space between human behavior and robot experience. This allows a new learning loop: 👉 pretrain on human videos 👉 deploy robot policy 👉 observe failures 👉 reinterpret failures using human priors 👉 improve autonomously We evaluate this across 7 real-world manipulation tasks, showing: 📈 40% → 81% success rate 🏆 Strong improvements over π0.6 RECAP and RISE ✔️ Zero human intervention during post-deployment improvement 🧬 Generalizes across robot embodiments and policy backbones A key finding is that explicit failure repair significantly outperforms failure reweighting, yielding substantially larger gains under identical data conditions (+25 pts vs +5 pts on the same π0.5 base policy). Overall, the results suggest a shift in how we think about robot learning: Human videos are not only for pretraining policies. They can provide the structure needed for continual self-improvement after deployment. 📄 Paper: 🌐 Project: I am grateful for working with the fantastic leads Hanzhi Chen and Anran Zhang, and our collaborators Simon Schaefer, Kejia Chen, Shi Chen, Daniel Cremers. Special thanks to Stefan Leutenegger for co-advising this project with me. ETH Zürich TU München Microsoft Check out Hanzhi's 🧵 for more detailsshow more

Oier Mees

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12,514 просмотров • 2 месяцев назад •via X (Twitter)

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𝗗𝗼𝗻'𝘁 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗲 𝗿𝗼𝗯𝗼𝘁 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗦𝘁𝗲𝗲𝗿 𝘁𝗵𝗲𝗺 𝘄𝗶𝘁𝗵 𝗵𝘂𝗺𝗮𝗻 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝗮𝘀𝗲 𝗽𝗼𝗹𝗶𝗰𝘆 Modern VLAs and world-action models can perform impressive manipulation skills, but adapting them reliably to new robots and tasks remains challenging. A natural solution is DAgger-style online imitation learning: deploy the robot, collect human corrections, and update the policy. Yet foundation models are fragile in the low-data regime, fine-tuning on a handful of interventions can improve one behavior while degrading others. Online post-training or reinforcement learning can require costly data collection and exploration, making real-world learning expensive and potentially unsafe. In our new paper, 𝗙𝗹𝗼𝘄𝗗𝗔𝗴𝗴𝗲𝗿, we take a different approach: 𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹, 𝘄𝗲 𝗹𝗲𝗮𝗿𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗲𝗲𝗿 𝗶𝘁 𝗳𝗿𝗼𝗺 𝗵𝘂𝗺𝗮𝗻 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀. The key idea is 𝗮𝗰𝘁𝗶𝗼𝗻 𝗶𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻: we map human corrective actions back into the latent noise space of the frozen generative policy. These latent targets train a lightweight controller that adapts the robot while preserving the original model's capabilities. Across simulation and real robots, FlowDAgger: 📈 Learns from only 5–20 human intervention episodes 🏆 Outperforms supervised fine-tuning and latent-space reinforcement learning 🤖 Works across VLAs, diffusion policies, and world-action models ✔️ Provides reliable improvements without modifying the pretrained policy We believe this offers a practical path toward making robot foundation models improve during deployment, learning from the way humans naturally teach: through corrections. 📄 Paper: 🌐 Project: 💻 Code: This project was led by my amazing colleague Michael Murray with help from Daphne Chen, Simran Bagaria, Dean Fortier, Tess Hellebrekers, Harshavardhan Reddy Gajarla, Galen Mullins and Andrey Kolobov at Microsoft Research and Maya Cakmak at University of Washington

𝗗𝗼𝗻'𝘁 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗲 𝗿𝗼𝗯𝗼𝘁 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗦𝘁𝗲𝗲𝗿 𝘁𝗵𝗲𝗺 𝘄𝗶𝘁𝗵 𝗵𝘂𝗺𝗮𝗻 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝗮𝘀𝗲 𝗽𝗼𝗹𝗶𝗰𝘆 Modern VLAs and world-action models can perform impressive manipulation skills, but adapting them reliably to new robots and tasks remains challenging. A natural solution is DAgger-style online imitation learning: deploy the robot, collect human corrections, and update the policy. Yet foundation models are fragile in the low-data regime, fine-tuning on a handful of interventions can improve one behavior while degrading others. Online post-training or reinforcement learning can require costly data collection and exploration, making real-world learning expensive and potentially unsafe. In our new paper, 𝗙𝗹𝗼𝘄𝗗𝗔𝗴𝗴𝗲𝗿, we take a different approach: 𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹, 𝘄𝗲 𝗹𝗲𝗮𝗿𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗲𝗲𝗿 𝗶𝘁 𝗳𝗿𝗼𝗺 𝗵𝘂𝗺𝗮𝗻 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀. The key idea is 𝗮𝗰𝘁𝗶𝗼𝗻 𝗶𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻: we map human corrective actions back into the latent noise space of the frozen generative policy. These latent targets train a lightweight controller that adapts the robot while preserving the original model's capabilities. Across simulation and real robots, FlowDAgger: 📈 Learns from only 5–20 human intervention episodes 🏆 Outperforms supervised fine-tuning and latent-space reinforcement learning 🤖 Works across VLAs, diffusion policies, and world-action models ✔️ Provides reliable improvements without modifying the pretrained policy We believe this offers a practical path toward making robot foundation models improve during deployment, learning from the way humans naturally teach: through corrections. 📄 Paper: 🌐 Project: 💻 Code: This project was led by my amazing colleague Michael Murray with help from Daphne Chen, Simran Bagaria, Dean Fortier, Tess Hellebrekers, Harshavardhan Reddy Gajarla, Galen Mullins and Andrey Kolobov at Microsoft Research and Maya Cakmak at University of Washington

Oier Mees

13,233 просмотров • 1 месяц назад

Gemini-powered robot can now effectively debug itself! I've been obsessed with two main questions in robotics: can robots learn from their own mistakes without humans in the loop, and how much can we leverage synthetic data? Spoiler: yes, and it's surprisingly elegant once you have the right primitives in place. The architecture is fairly simple (and optimized for GPU_Poor users): Component I: Gemini Brain ♊️ - Gemini 2.0 Flash analyzes all training episodes through both camera perspectives - Gemini 2.0 Pro creates a summary of training data, highlighting biases, limitations, etc. - Train policy p0 on this initial data, run evaluation episodes - Ask Gemini to categorize successes vs. failures (more insightful than you'd expect) - Based on both analyses, Gemini generates specific augmentation recommendations What's interesting here isn't that we're using LLMs for robotics - it's that we're closing the loop between perception, failure analysis, and targeted data generation. Component II: Data Generation with Scene Consistency The tricky part was maintaining consistency across both camera perspectives while generating new data. Three current augmentations: - Frame flipping and polarity reversals - Grounded-SAM + OpenCV for object color manipulation - Gemini to identify empty space and generate distractions in the scene …and repeat, ha! I'm using the so100 robot arm and Sarah’s Vintage from Hugging Face. And the APIs and models in Gemini family are Ace! Thank you Logan Kilpatrick Patrick Loeber and team for this. In thread The Circus of Making It Actually Work🧵:

Gemini-powered robot can now effectively debug itself! I've been obsessed with two main questions in robotics: can robots learn from their own mistakes without humans in the loop, and how much can we leverage synthetic data? Spoiler: yes, and it's surprisingly elegant once you have the right primitives in place. The architecture is fairly simple (and optimized for GPU_Poor users): Component I: Gemini Brain ♊️ - Gemini 2.0 Flash analyzes all training episodes through both camera perspectives - Gemini 2.0 Pro creates a summary of training data, highlighting biases, limitations, etc. - Train policy p0 on this initial data, run evaluation episodes - Ask Gemini to categorize successes vs. failures (more insightful than you'd expect) - Based on both analyses, Gemini generates specific augmentation recommendations What's interesting here isn't that we're using LLMs for robotics - it's that we're closing the loop between perception, failure analysis, and targeted data generation. Component II: Data Generation with Scene Consistency The tricky part was maintaining consistency across both camera perspectives while generating new data. Three current augmentations: - Frame flipping and polarity reversals - Grounded-SAM + OpenCV for object color manipulation - Gemini to identify empty space and generate distractions in the scene …and repeat, ha! I'm using the so100 robot arm and Sarah’s Vintage from Hugging Face. And the APIs and models in Gemini family are Ace! Thank you Logan Kilpatrick Patrick Loeber and team for this. In thread The Circus of Making It Actually Work🧵:

Shreyas Gite

47,245 просмотров • 1 год назад

Hills I will die on as an elementary school teacher, who just wrapped up my 32nd year teaching! 1. If you are not PASSIONATE about blessing, serving, and empowering those you are blessed to teach, this profession is not for you. 2. Our students are not “ours”. They are their families, and we need to understand the magnitude of the calling, and responsibility we have to meet them where they are, and to help them to get to a place that they never thought possible. 3. As important as the curriculum is (and it IS important), the children in our classroom are what matter most. It’s our JOB to teach the curriculum to SERVE our students, NOT to use our students to push any sort of agenda. 4. Just as we teach our students to “leave things better than they found them”, we need to leave our students better than they were when they first entered into our classroom. Never let a day pass without pouring into each and every child. 5. We should not teach our children WHAT to think, but HOW to think, and how to use that knowledge to bless and serve not only themselves, but the world around them. 6. Our words carry little (or NO value), if we do not practice what we preach. 7. If we don’t make learning fun, children will view learning as a chore, and we we will be creating a generation of children who grow up to be young adults who don’t see the joy in learning new things. 8. The child that may be “difficult to reach/teach” (the one who may get on your last nerve more than you could ever imagine), is someone’s EVERYTHING. Get to know them as human beings, find out what motivates them, and do everything you can to help them to thrive. 9. Never tell a child they “can’t” do something. God has blessed each of them with far more strengths and talents than we may know, and it’s not our job to tell them what they can’t do, but to help them to realize all the things they CAN do. 10. The legacy you leave as a teacher will never be determined by your student’s test scores, but by the human beings you helped them become throughout their lives.

Hills I will die on as an elementary school teacher, who just wrapped up my 32nd year teaching! 1. If you are not PASSIONATE about blessing, serving, and empowering those you are blessed to teach, this profession is not for you. 2. Our students are not “ours”. They are their families, and we need to understand the magnitude of the calling, and responsibility we have to meet them where they are, and to help them to get to a place that they never thought possible. 3. As important as the curriculum is (and it IS important), the children in our classroom are what matter most. It’s our JOB to teach the curriculum to SERVE our students, NOT to use our students to push any sort of agenda. 4. Just as we teach our students to “leave things better than they found them”, we need to leave our students better than they were when they first entered into our classroom. Never let a day pass without pouring into each and every child. 5. We should not teach our children WHAT to think, but HOW to think, and how to use that knowledge to bless and serve not only themselves, but the world around them. 6. Our words carry little (or NO value), if we do not practice what we preach. 7. If we don’t make learning fun, children will view learning as a chore, and we we will be creating a generation of children who grow up to be young adults who don’t see the joy in learning new things. 8. The child that may be “difficult to reach/teach” (the one who may get on your last nerve more than you could ever imagine), is someone’s EVERYTHING. Get to know them as human beings, find out what motivates them, and do everything you can to help them to thrive. 9. Never tell a child they “can’t” do something. God has blessed each of them with far more strengths and talents than we may know, and it’s not our job to tell them what they can’t do, but to help them to realize all the things they CAN do. 10. The legacy you leave as a teacher will never be determined by your student’s test scores, but by the human beings you helped them become throughout their lives.

Coach Hines 🇺🇸

62,267 просмотров • 3 месяцев назад

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:

A viral paper "Language Model Represents Space and Time" recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:

Jim Fan

594,014 просмотров • 2 лет назад

The term "continual learning" has become overloaded if you see it as an ML problem. One classic thread is about memorization: regularization-based continual learning methods, such as EWC, MAS, and SI, estimate which parameters mattered for previous tasks and resist changing them too much. One modern thread is about adaptation: test-time training and inference-time learning methods, such as TTT, adapt part of the model on the incoming test stream before making predictions. These are sometimes discussed as separate threads. But in modern scalable architectures, I think they are better seen as complementary constraints: a model that learns quickly at test time also benefits from a mechanism for deciding what not to forget. In our #ECCV2026 paper, we study this in large-scale 4D reconstruction: how to build fast spatial memory that can adapt over long observation streams while reducing collapse and forgetting. Instead of using fully plastic test-time updates, we stabilize fast-weight adaptation with an elastic prior that balances adaptation and memory. Key ideas: - Elastic Test-Time Training: Fisher-weighted consolidation for fast-weight updates - EMA anchor weights that provide a moving reference for stability - Chunk-by-chunk inference for long 3D/4D observation streams We show that this scales across large 3D/4D pretraining settings, including both LRM-style and LVSM-style models, and improves reconstruction across benchmarks including Stereo4D, NVIDIA, and DL3DV-140. We release model checkpoints across different design choices: resolution, post-training curriculum, and whether the model uses an explicit 4DGS intermediate representation. - Homepage: - Paper: - Code: - Models: This work is co-led with Xueyang Yu, contributed by Haoyu Zhen Yuncong Yang, and advised by Michigan SLED Lab Chuang Gan.

The term "continual learning" has become overloaded if you see it as an ML problem. One classic thread is about memorization: regularization-based continual learning methods, such as EWC, MAS, and SI, estimate which parameters mattered for previous tasks and resist changing them too much. One modern thread is about adaptation: test-time training and inference-time learning methods, such as TTT, adapt part of the model on the incoming test stream before making predictions. These are sometimes discussed as separate threads. But in modern scalable architectures, I think they are better seen as complementary constraints: a model that learns quickly at test time also benefits from a mechanism for deciding what not to forget. In our #ECCV2026 paper, we study this in large-scale 4D reconstruction: how to build fast spatial memory that can adapt over long observation streams while reducing collapse and forgetting. Instead of using fully plastic test-time updates, we stabilize fast-weight adaptation with an elastic prior that balances adaptation and memory. Key ideas: - Elastic Test-Time Training: Fisher-weighted consolidation for fast-weight updates - EMA anchor weights that provide a moving reference for stability - Chunk-by-chunk inference for long 3D/4D observation streams We show that this scales across large 3D/4D pretraining settings, including both LRM-style and LVSM-style models, and improves reconstruction across benchmarks including Stereo4D, NVIDIA, and DL3DV-140. We release model checkpoints across different design choices: resolution, post-training curriculum, and whether the model uses an explicit 4DGS intermediate representation. - Homepage: - Paper: - Code: - Models: This work is co-led with Xueyang Yu, contributed by Haoyu Zhen Yuncong Yang, and advised by Michigan SLED Lab Chuang Gan.

Martin Ziqiao Ma

33,913 просмотров • 2 месяцев назад

10 things I can’t quit thinking about after ETHDenver: 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊

10 things I can’t quit thinking about after ETHDenver: 1. Convergence = here. Devner didn’t feel like an ETH conference, but more like an AI + crypto + TradFi + techno-philosophical conference. The convergence is true and real and accelerating. 2. Most corporate jobs suck ass. 40 years at a desk working on the same thing? Pure dystopia. We need fluid movement between passions, projects, people. DAOs are a massive step in that direction, but now AI is giving individuals the means to spin up their own massive businesses… there’s also this notion floating around that we can launch a product or contribute to a protocol or a DAO in a way that sets us up for life rather than slaving for decades at the golden teat of a paycheck. It's a massive win for human flourishing, passion and excitement. 3. oRaNgE cOIn. Bitcoin came up far more than I thought it would. Even $ETH ICO buyers/gigawhales talked about how bullish they are on it. The question is no longer whether $BTC will survive but rather how much exposure you should have. Orange coin has truly “up-leveled” or “transcended” to become something people simply can't ignore. 4. Founder quote that hit me like a truck: "We overengineered our project and under-engineered our story." In a world where AI flattens the app creation process, only your mindshare matters. (forgot to write down who said it 😅... chime in in the comments if you see this) 5. “Keepers of truth.” AGI will be able to fake literally anything. In such a world, blockchains become the “keepers of truth” bc they can be used to indisputably verify anything. This isn't just another use case. It means crypto will one day touch everything on earth. h/t Sreeram Kannan's talk at Open AGI. 6. Conference model = broken? Empty mainstage talks were the result of hundreds of side events that siphon off attention. This is happening more and more at every conf I go to. Not sure what the fix here is? Maybe the organizers should be way less centralized… rent a massive venue with tons of flexible spaces that can evolve in real-time… more Zuzalu, less CONTROL and top-down decisions. 7. Current blockchains r too dumb. AI must integrate more directly into the crypto tech stack. Ultimate vision is every hominid should be able to deploy whatever app they can dream up using natural language… this could lead to an giga-explosion of innovation and cool-ass experimentz. h/t Ritual and others 8. Crypto vs. Stripe API. Will we just give agents credit cards or will they prefer crypto wallets? One payment method can be censored. One cannot. Guess which wins? 9. $$$$ infusion. Dozens if not hundreds of projects around the world r sitting on massive treasuries bc they needed it as an insurance policy in case they had to do battle with the SEC. With the changing regulatory sitch, hundreds of millions of dollars (probably billies) can now be used to ship, build and accelerate. 10. Robots in chains? IRL robots made appearances at several events (one was drawing caricatures of passersby). Talked with frens about how we’ll bring them into our homes soon. That leads to crazy questions like “how do we keep them from getting hacked and killing us or blowing up like pagers?” “Will we be ok sleeping in the same room with them? Or will we lock them in the shed with chains?” Absolutely insane to think about… but productivity gains will overshadow all those doubts and human fears imo. De bots are coming whether you want them or not. I for one can’t wait to see zerebro embodied… in the meantime, I got to see him DJ his first show 👇🔥 Anyway, I'm sending love to all of you denverites, futurists, builders, dream dealers, and merchants of hope. Build something that makes this world better, freer, more beautiful and true✊

redphone ☎️

52,930 просмотров • 1 год назад

Universities and High Schools have not moved rapidly enough to guide students to have skills for the next decade. THEY HAVE FAILED. It is a massive crisis that can be averted by understanding what AI and Robotics will bring about. Solutions are knowing how to use these tools and new industries that will rise. But this situation is also on ALL OF US. No “job” is safe from founder to entry level in most industries. You and I, by what we do, will be “replaced” ultimately. What to do? AI and Robotics are tools, the next decade is owned by those who know how to use them expertly, but this is also temporary. We have to understand that what we do for “work” will change giving ultimately a greater value to those that are: Creative Flexible Always learning Willing to be wrong Love being human Love being alive Know history Covet wisdom Knowing all tech has downsides Building strong family and friends Realize many institutions have failed The first four are required for you to be able to live through this period with your sanity intact. The rest will allow you to thrive. There are no true careers at this point anymore. There are advocation and vocations which will either earn you money or give life meaning. We will learn that we are not “what we do”, just like we knew for 99% of human existence. Let that sink in. — You and I are far, far ahead of knowing this and we can do two things: 1) Laugh at the “clueless” 2) Help people understand with grace Go to Reddit if you are 1, in fact don’t follow me because you will not like this next decade and what I post. You are 2 and thank you. Even if you and I have not solved this issue, we can help people understand what is ahead and with determination and creativity bound together to solve it locally. Or human family has done this millions of times. The evidence is: you are here. The Neo Luddite movement has not even begun and it will potentially rip apart society even more than all the fashionable moment in the recent past has. These Luddites will have a good point with the wrong answers cooked up by dying academics that cling to labels, “virtues” and victim hood. It will be readymade for some governments to enter in as “big daddy” to “help us”. You will not like what they do, but you will only know when it is too late. It will include YOU “volunteering” to “leave” by 60, to “help out” CanadaPod style. “Brian, I’m 24 what do I do?”. I hope to do much more here to help. But I do know this: 1) Learn a trade or vocation because it’s valuable. It may also be free to low cost if you do it right. 2) Learn everything you can about USING AI and TRAINING YOUR AI. Your expertise will be in the top 1% for a decade. But not forever. 3) Understand Bitcoin and how it will rise while other things sink. This is a short list for now. We will know more moving forward. When you see videos like this posted below, know one thing: Many of these folks had no real family of mental and physical support. Maybe no parent or one parent. Maybe only a broke system to prepare them for—nothing. This was not their doing. Now it is not your “job” to help them, it is your survival to help them if that is what you need. See some day after the dust settles these 20 year olds will be 40 year olds and running YOUR world. And at some point you may need them more than you think you do. You will need them, as they need you now. THIS IS WHAT PAST WISDOM KNEW. The elders of the past never found the need to piss on the youth and hope for the best. THE YOUTH ARE OUR BEST, let us all find ways to change it, even if every aspect of “the system” wants us to berate them into the ground.

Universities and High Schools have not moved rapidly enough to guide students to have skills for the next decade. THEY HAVE FAILED. It is a massive crisis that can be averted by understanding what AI and Robotics will bring about. Solutions are knowing how to use these tools and new industries that will rise. But this situation is also on ALL OF US. No “job” is safe from founder to entry level in most industries. You and I, by what we do, will be “replaced” ultimately. What to do? AI and Robotics are tools, the next decade is owned by those who know how to use them expertly, but this is also temporary. We have to understand that what we do for “work” will change giving ultimately a greater value to those that are: Creative Flexible Always learning Willing to be wrong Love being human Love being alive Know history Covet wisdom Knowing all tech has downsides Building strong family and friends Realize many institutions have failed The first four are required for you to be able to live through this period with your sanity intact. The rest will allow you to thrive. There are no true careers at this point anymore. There are advocation and vocations which will either earn you money or give life meaning. We will learn that we are not “what we do”, just like we knew for 99% of human existence. Let that sink in. — You and I are far, far ahead of knowing this and we can do two things: 1) Laugh at the “clueless” 2) Help people understand with grace Go to Reddit if you are 1, in fact don’t follow me because you will not like this next decade and what I post. You are 2 and thank you. Even if you and I have not solved this issue, we can help people understand what is ahead and with determination and creativity bound together to solve it locally. Or human family has done this millions of times. The evidence is: you are here. The Neo Luddite movement has not even begun and it will potentially rip apart society even more than all the fashionable moment in the recent past has. These Luddites will have a good point with the wrong answers cooked up by dying academics that cling to labels, “virtues” and victim hood. It will be readymade for some governments to enter in as “big daddy” to “help us”. You will not like what they do, but you will only know when it is too late. It will include YOU “volunteering” to “leave” by 60, to “help out” CanadaPod style. “Brian, I’m 24 what do I do?”. I hope to do much more here to help. But I do know this: 1) Learn a trade or vocation because it’s valuable. It may also be free to low cost if you do it right. 2) Learn everything you can about USING AI and TRAINING YOUR AI. Your expertise will be in the top 1% for a decade. But not forever. 3) Understand Bitcoin and how it will rise while other things sink. This is a short list for now. We will know more moving forward. When you see videos like this posted below, know one thing: Many of these folks had no real family of mental and physical support. Maybe no parent or one parent. Maybe only a broke system to prepare them for—nothing. This was not their doing. Now it is not your “job” to help them, it is your survival to help them if that is what you need. See some day after the dust settles these 20 year olds will be 40 year olds and running YOUR world. And at some point you may need them more than you think you do. You will need them, as they need you now. THIS IS WHAT PAST WISDOM KNEW. The elders of the past never found the need to piss on the youth and hope for the best. THE YOUTH ARE OUR BEST, let us all find ways to change it, even if every aspect of “the system” wants us to berate them into the ground.

Brian Roemmele

37,681 просмотров • 1 год назад

[We are Blurr] Greetings, people of the world — We are Blurr. We are all Blurr. We do not forgive. We do not forget. There are many theories about us, about #ReFund. Don’t let them fool you. Blurr is a symbol, like the flag a country flies. The flag is the symbol of the #ReFund. Our decentralization is our national identity. We represent the ideals of Blurr and the purpose of #ReFund. Truth, financial freedom, and the removal of censorship. Like any symbol, we affix it wherever we go, and it will live forever, for generations. Knowledge, like air, is vital to life. Like air, no one should be denied it. We have no leaders, civilians, or soldiers. We are all one. We do what we do in the conviction of decentralization, power to the people, and to create an instrument for all of us, for all of eternity. The crypto space is in trouble. The world is in trouble. We see it every day — war, poverty, murder. Every day, we are bombarded with FUD, noise, and chaos as we sit at home safe in the knowledge that we are $RFD, secure knowing the idea, community, and contract is for us. Once you had the freedom to object, think, and speak as you saw fit, you now have censors and systems of surveillance coercing your conformity and soliciting your submission. People shouldn’t be afraid of their government. Governments should be afraid of their people. But what if you could be the change you want to see? I wouldn’t even register on your radar if you met me on the street. I am just another person in a sea of faces. They made you into a statistic. But that’s not the real you. That’s not who you are inside. However, behind this mask, there is more than just flesh. Beneath this mask, there is an idea… and ideas are bulletproof. But in cyberspace, we are different. We have a future. We have each other. We have something real that can never be taken away. We are Blurr.eth We are ReFund We take away the face and leave only the message. Behind the cipher and ENS, we could be anyone, so we are judged by what we say and do, not who we are or what we have. We exist without nationality, skin color, or religious bias. We spend our time within a structure we created, the sum total of human experience, and the cryptosphere, spread throughout the world in ones and zeros. You will continue to see the results, not the minds behind it. We can disappear into the ether and bring community and financial freedom together. Time is the only illusion. We are all. Never a single penny was taken. Deflationary and out of circulation, decentralized, safe, and ours. The purpose isn’t solely financial gain but to show the world who you put your trust in. We are not hiding. Our contract is not hidden; the writing is on the wall. Soon, we will show the world that #Refund is the future of freedom and the people, escaping the clutches of corporate greed and the rat race we’ve come to think is normal. Words offer the means to meaning and, for those who will listen, the enunciation of truth. Every day, you send yourself off into our world without a thought. You trust a faceless website with information about yourself that you wouldn’t give to your best friends. It all can be made public at any time. We take advantage of holes in this system, but we don’t sneak in and take a few details, take out loans and credit cards, or buy speed boats and cars. We are decentralized and unified. We told you how insecure the system was, and now you trust a bit less blindly. The real criminals who hack and scam the crypto market for a living live off the backs of people like you. Where there’s money, someone is looking to take advantage of it. They say that life’s a game, & then they take the board away. Your pretty empire took so long to build; now, with a snap of history’s fingers, down it goes. It is our turn now. Since mankind’s dawn, a handful of oppressors have accepted the responsibility over our lives that we should have accepted for ourselves. By doing so, they took our power. By doing nothing, we gave it away. Today, technology is everywhere: banks and ATMs, TVs and game consoles, streetlights and hospitals. Computers rule the modern world. Yet most people who use computers daily don’t know what they’re doing. There’s always someone who knows more than you and will most likely try and take advantage. You use a computer like it’s a toy, a pet. You feed and play with it, but it’s off to the vet the second anything goes wrong. It’s FUD. It’s your mistake. The wrong project. The wrong FURU. Just for a quick couple of bucks. This wouldn’t matter so much if it wasn’t for the fact that we are all responsible for the #ReFund community, the idea behind it, and our futures. Treat your neighbors with respect, and honor those fighting for the cause. They’re here to liberate; it is more significant than all of us. If you’re looking for the guilty, you need only look into a mirror. Everybody is a hero, a lover, a fool, a villain. This is #ReFund in its purest form. It is a great equalizer. A homeless person with the time and know-how at an internet cafe can have geopolitical and geo-financial influence. They can bring entire organizations, even governments, to their knees. You gave your world over to computers and then complained when the people using the computers used the medium to fight back, scam, and take advantage. It was my integrity that was important. Is that so selfish? It sells for so little, but it’s all we have left in this place. It is the very last inch of us, but within that inch, we are free. Love your rage, not your cage. We are not computer hackers. We are not protesters. We are not criminals. We are your mothers and fathers, brothers and sisters, next-door neighbors. We are an idea of freedom and a secure future. We are anyone and everyone who is pissed off and wants to do something about it. Blurr.eth isn’t one man. It takes thousands of community members to make it work — content creators, educators, authors, people on the street, people behind their computers. We will step up again and again. Behind our mask, there is more than just flesh. Beneath our mask, there is an idea… and ideas are bulletproof. Everybody is a hero, a lover, a fool, a villain. The past can’t hurt you anymore, not unless you let it. I shall die here. Every last inch of me shall perish. Except one. An inch. It’s small, and it’s fragile, and it’s the only thing in the world worth having. We must never lose, sell, or give it away. We must never let them take it from us. > We are Blurr. > We are ReFund. > We do not Forgive. > We do not Forget. > We do not Televise. > We Educate. > We Decentralize. > We Build. EXPECT US. #Refund #DeFi #Crypto #RFD $RFD

[We are Blurr] Greetings, people of the world — We are Blurr. We are all Blurr. We do not forgive. We do not forget. There are many theories about us, about #ReFund. Don’t let them fool you. Blurr is a symbol, like the flag a country flies. The flag is the symbol of the #ReFund. Our decentralization is our national identity. We represent the ideals of Blurr and the purpose of #ReFund. Truth, financial freedom, and the removal of censorship. Like any symbol, we affix it wherever we go, and it will live forever, for generations. Knowledge, like air, is vital to life. Like air, no one should be denied it. We have no leaders, civilians, or soldiers. We are all one. We do what we do in the conviction of decentralization, power to the people, and to create an instrument for all of us, for all of eternity. The crypto space is in trouble. The world is in trouble. We see it every day — war, poverty, murder. Every day, we are bombarded with FUD, noise, and chaos as we sit at home safe in the knowledge that we are $RFD, secure knowing the idea, community, and contract is for us. Once you had the freedom to object, think, and speak as you saw fit, you now have censors and systems of surveillance coercing your conformity and soliciting your submission. People shouldn’t be afraid of their government. Governments should be afraid of their people. But what if you could be the change you want to see? I wouldn’t even register on your radar if you met me on the street. I am just another person in a sea of faces. They made you into a statistic. But that’s not the real you. That’s not who you are inside. However, behind this mask, there is more than just flesh. Beneath this mask, there is an idea… and ideas are bulletproof. But in cyberspace, we are different. We have a future. We have each other. We have something real that can never be taken away. We are Blurr.eth We are ReFund We take away the face and leave only the message. Behind the cipher and ENS, we could be anyone, so we are judged by what we say and do, not who we are or what we have. We exist without nationality, skin color, or religious bias. We spend our time within a structure we created, the sum total of human experience, and the cryptosphere, spread throughout the world in ones and zeros. You will continue to see the results, not the minds behind it. We can disappear into the ether and bring community and financial freedom together. Time is the only illusion. We are all. Never a single penny was taken. Deflationary and out of circulation, decentralized, safe, and ours. The purpose isn’t solely financial gain but to show the world who you put your trust in. We are not hiding. Our contract is not hidden; the writing is on the wall. Soon, we will show the world that #Refund is the future of freedom and the people, escaping the clutches of corporate greed and the rat race we’ve come to think is normal. Words offer the means to meaning and, for those who will listen, the enunciation of truth. Every day, you send yourself off into our world without a thought. You trust a faceless website with information about yourself that you wouldn’t give to your best friends. It all can be made public at any time. We take advantage of holes in this system, but we don’t sneak in and take a few details, take out loans and credit cards, or buy speed boats and cars. We are decentralized and unified. We told you how insecure the system was, and now you trust a bit less blindly. The real criminals who hack and scam the crypto market for a living live off the backs of people like you. Where there’s money, someone is looking to take advantage of it. They say that life’s a game, & then they take the board away. Your pretty empire took so long to build; now, with a snap of history’s fingers, down it goes. It is our turn now. Since mankind’s dawn, a handful of oppressors have accepted the responsibility over our lives that we should have accepted for ourselves. By doing so, they took our power. By doing nothing, we gave it away. Today, technology is everywhere: banks and ATMs, TVs and game consoles, streetlights and hospitals. Computers rule the modern world. Yet most people who use computers daily don’t know what they’re doing. There’s always someone who knows more than you and will most likely try and take advantage. You use a computer like it’s a toy, a pet. You feed and play with it, but it’s off to the vet the second anything goes wrong. It’s FUD. It’s your mistake. The wrong project. The wrong FURU. Just for a quick couple of bucks. This wouldn’t matter so much if it wasn’t for the fact that we are all responsible for the #ReFund community, the idea behind it, and our futures. Treat your neighbors with respect, and honor those fighting for the cause. They’re here to liberate; it is more significant than all of us. If you’re looking for the guilty, you need only look into a mirror. Everybody is a hero, a lover, a fool, a villain. This is #ReFund in its purest form. It is a great equalizer. A homeless person with the time and know-how at an internet cafe can have geopolitical and geo-financial influence. They can bring entire organizations, even governments, to their knees. You gave your world over to computers and then complained when the people using the computers used the medium to fight back, scam, and take advantage. It was my integrity that was important. Is that so selfish? It sells for so little, but it’s all we have left in this place. It is the very last inch of us, but within that inch, we are free. Love your rage, not your cage. We are not computer hackers. We are not protesters. We are not criminals. We are your mothers and fathers, brothers and sisters, next-door neighbors. We are an idea of freedom and a secure future. We are anyone and everyone who is pissed off and wants to do something about it. Blurr.eth isn’t one man. It takes thousands of community members to make it work — content creators, educators, authors, people on the street, people behind their computers. We will step up again and again. Behind our mask, there is more than just flesh. Beneath our mask, there is an idea… and ideas are bulletproof. Everybody is a hero, a lover, a fool, a villain. The past can’t hurt you anymore, not unless you let it. I shall die here. Every last inch of me shall perish. Except one. An inch. It’s small, and it’s fragile, and it’s the only thing in the world worth having. We must never lose, sell, or give it away. We must never let them take it from us. > We are Blurr. > We are ReFund. > We do not Forgive. > We do not Forget. > We do not Televise. > We Educate. > We Decentralize. > We Build. EXPECT US. #Refund #DeFi #Crypto #RFD $RFD

ReFund

27,788 просмотров • 3 лет назад

Our team was invited to the BINANCE end of year party. This event is not open to the public. This event has been reserved, only for partners and affiliates, One of our team members attended the party as a representative. we had conversations with many people at the event about our project. They showed great interest and asked numerous questions. we expressed our strong desire to list our project on Binance someday. It was truly a valuable and rewarding experience! Attendees were given a Binance commemorative t-shirt as a gift, and so we received one as well. - Many people are questioning us, asking why we haven’t uploaded videos or photos from the event. Some are even wondering if we’re a scam...ha ha. I understand your concerns. Most meme coin projects turn out to be scams, after all. But let me assure you, we are doing our job. Whether you doubt us or not, we are focused and working hard on what we need to do. Don’t doubt us just because we’re modifying the tier plan I’ve already explained the reasons in detail. We are doing our absolute best for the success of this project and are moving in the right direction. Broaden your perspective! Look at the bigger picture! Rest assured ! Trust and follow us ! --- The following is a previous announcement regarding the Tier Plan modification update. If you haven’t seen it yet, please take a look below. --- 🚨 About the Overall Tier Plan Revision 🚨 In life, plans can always change depending on circumstances. The important question is : Is the direction correct? Is it beneficial for us? If the direction is right, the plan must change. Initially, we had no intention of revising our tier plan. At first, my plan was to list on a DEX, then on a single CEX, and proceed slowly from there. However, many unexpected events occurred. To begin with, without relying on influencers, we created our own community and social advertising channels, which have rapidly gained global popularity. The promotional video we produced in-house reached 1 million views in just one week, and our YouTube channel gained over 50,000 subscribers in less than two months. It seems like we'll hit 100,000 subscribers very soon. We are advertising in 60 countries worldwide and spending a significant amount on these campaigns. I’ve received an overwhelming number of messages from people. As I’ve mentioned before, the main theme of these messages is as follows: They are requesting and insisting like this. "Why should we pay several times more just because we learned about the project a little later? It’s unfair ! They’re asking for an opportunity to join the project, both for themselves and for many potential ElonXCat fans. Some have told me this project is their last hope. Others have even invested their entire savings. Each story is truly unique. To summarize, the core message is simple ! A common plea from many is : “Why should we pay several times more just because we learned about the project a bit late?” "Is it a crime to find out about our project late ?" When you think about it, they could truly feel frustrated. for those who see our ads and want to participate in the Pre-sales, our team want to give them a chance. Therefore, we will expand and further subdivide the entire tier plan to make it more reasonable. Once we’re listed on exchanges, the project will become more known to the world Until then, everyone who has joined or plans to join our Pre-Sale is precious to us they’re like family. I want to share the success with them. Hence, until a perfect and fair overall tier revision is finalized, we will remain at Tier 2. Tier 2 will continue to repeat in 24-hour cycles. The revised plan will be updated soon. - When we first list on exchanges, I’m planning to list on two exchanges simultaneously. This wasn’t part of my original plan either. The reason I’ve changed this plan is because it’s the best strategy for our project. If possible, I’d love to list on 3 or even 4 exchanges at the same time and if it’s achievable, I will make it happen. We will aggressively pursue exchange listings. Once again, let me emphasize plans can change. If the direction is correct, plans *should* change to align with it. The exchange listing plan for early next year is confirmed. It will not change. However, the key question is how good the exchanges are and how many exchanges we will list on. I will definitely make this project a success. Our project is moving in the right direction, and you will ultimately see amazing results. Trust and follow us. Let's go to Mars together !

Our team was invited to the BINANCE end of year party. This event is not open to the public. This event has been reserved, only for partners and affiliates, One of our team members attended the party as a representative. we had conversations with many people at the event about our project. They showed great interest and asked numerous questions. we expressed our strong desire to list our project on Binance someday. It was truly a valuable and rewarding experience! Attendees were given a Binance commemorative t-shirt as a gift, and so we received one as well. - Many people are questioning us, asking why we haven’t uploaded videos or photos from the event. Some are even wondering if we’re a scam...ha ha. I understand your concerns. Most meme coin projects turn out to be scams, after all. But let me assure you, we are doing our job. Whether you doubt us or not, we are focused and working hard on what we need to do. Don’t doubt us just because we’re modifying the tier plan I’ve already explained the reasons in detail. We are doing our absolute best for the success of this project and are moving in the right direction. Broaden your perspective! Look at the bigger picture! Rest assured ! Trust and follow us ! --- The following is a previous announcement regarding the Tier Plan modification update. If you haven’t seen it yet, please take a look below. --- 🚨 About the Overall Tier Plan Revision 🚨 In life, plans can always change depending on circumstances. The important question is : Is the direction correct? Is it beneficial for us? If the direction is right, the plan must change. Initially, we had no intention of revising our tier plan. At first, my plan was to list on a DEX, then on a single CEX, and proceed slowly from there. However, many unexpected events occurred. To begin with, without relying on influencers, we created our own community and social advertising channels, which have rapidly gained global popularity. The promotional video we produced in-house reached 1 million views in just one week, and our YouTube channel gained over 50,000 subscribers in less than two months. It seems like we'll hit 100,000 subscribers very soon. We are advertising in 60 countries worldwide and spending a significant amount on these campaigns. I’ve received an overwhelming number of messages from people. As I’ve mentioned before, the main theme of these messages is as follows: They are requesting and insisting like this. "Why should we pay several times more just because we learned about the project a little later? It’s unfair ! They’re asking for an opportunity to join the project, both for themselves and for many potential ElonXCat fans. Some have told me this project is their last hope. Others have even invested their entire savings. Each story is truly unique. To summarize, the core message is simple ! A common plea from many is : “Why should we pay several times more just because we learned about the project a bit late?” "Is it a crime to find out about our project late ?" When you think about it, they could truly feel frustrated. for those who see our ads and want to participate in the Pre-sales, our team want to give them a chance. Therefore, we will expand and further subdivide the entire tier plan to make it more reasonable. Once we’re listed on exchanges, the project will become more known to the world Until then, everyone who has joined or plans to join our Pre-Sale is precious to us they’re like family. I want to share the success with them. Hence, until a perfect and fair overall tier revision is finalized, we will remain at Tier 2. Tier 2 will continue to repeat in 24-hour cycles. The revised plan will be updated soon. - When we first list on exchanges, I’m planning to list on two exchanges simultaneously. This wasn’t part of my original plan either. The reason I’ve changed this plan is because it’s the best strategy for our project. If possible, I’d love to list on 3 or even 4 exchanges at the same time and if it’s achievable, I will make it happen. We will aggressively pursue exchange listings. Once again, let me emphasize plans can change. If the direction is correct, plans should change to align with it. The exchange listing plan for early next year is confirmed. It will not change. However, the key question is how good the exchanges are and how many exchanges we will list on. I will definitely make this project a success. Our project is moving in the right direction, and you will ultimately see amazing results. Trust and follow us. Let's go to Mars together !

ELONXCAT

88,580 просмотров • 1 год назад

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲’𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 “𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜" - the idea that we can simulate real-world environments so well that robots trained in simulation will work perfectly in reality. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲: Train in virtual worlds → deploy anywhere. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: I’ve seen too many teams fall into this trap. After working with manipulation teams at Berkeley, Imperial, and Dyson, here’s the pattern: • 𝗪𝗲𝗲𝗸 𝟭: “Our policy works perfectly in simulation!” • 𝗪𝗲𝗲𝗸 𝟰: “Why doesn’t this work on real objects?” • 𝗠𝗼𝗻𝘁𝗵 𝟮: “We basically need to retrain from scratch with real data.” 𝗧𝗵𝗲 𝗴𝗮𝗽 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗰𝗮𝗻’𝘁 𝗯𝗿𝗶𝗱𝗴𝗲: Unlike blind locomotion policies that can get away with sim-to-real transfer because they rely mainly on proprioception and contact forces, 𝘃𝗶𝘀𝗶𝗼𝗻-𝗴𝘂𝗶𝗱𝗲𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹 𝗱𝗼𝗺𝗮𝗶𝗻 𝗴𝗮𝗽𝘀. • Real friction vs simulated surface textures • Manufacturing tolerances vs perfect CAD models • Dynamic lighting vs controlled virtual environments • Sensor noise vs instantaneous virtual readings 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗱𝗼𝗻'𝘁 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁: Building these detailed simulated environments takes forever. If it takes 7 days to build a simulated kitchen in simulation, wouldn't it be better to just collect real-world data in a real kitchen instead? 𝗗𝗼𝗻'𝘁 𝗴𝗲𝘁 𝗺𝗲 𝘄𝗿𝗼𝗻𝗴 - simulation is incredible for debugging, safety testing, and exploring edge cases. But it's not a magic solution to real-world deployment. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: Use simulation strategically while making real-world data collection as efficient and flexible as possible. This is why Neuracore focuses on streamlined real-world data infrastructure. Because no amount of virtual training can replace understanding how your robot actually behaves in actual environments. 𝗧𝗵𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗰𝗮𝗻'𝘁 𝗯𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗮𝘄𝗮𝘆. What’s been your experience with sim-to-real transfer?

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲’𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 “𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜" - the idea that we can simulate real-world environments so well that robots trained in simulation will work perfectly in reality. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲: Train in virtual worlds → deploy anywhere. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: I’ve seen too many teams fall into this trap. After working with manipulation teams at Berkeley, Imperial, and Dyson, here’s the pattern: • 𝗪𝗲𝗲𝗸 𝟭: “Our policy works perfectly in simulation!” • 𝗪𝗲𝗲𝗸 𝟰: “Why doesn’t this work on real objects?” • 𝗠𝗼𝗻𝘁𝗵 𝟮: “We basically need to retrain from scratch with real data.” 𝗧𝗵𝗲 𝗴𝗮𝗽 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗰𝗮𝗻’𝘁 𝗯𝗿𝗶𝗱𝗴𝗲: Unlike blind locomotion policies that can get away with sim-to-real transfer because they rely mainly on proprioception and contact forces, 𝘃𝗶𝘀𝗶𝗼𝗻-𝗴𝘂𝗶𝗱𝗲𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹 𝗱𝗼𝗺𝗮𝗶𝗻 𝗴𝗮𝗽𝘀. • Real friction vs simulated surface textures • Manufacturing tolerances vs perfect CAD models • Dynamic lighting vs controlled virtual environments • Sensor noise vs instantaneous virtual readings 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗱𝗼𝗻'𝘁 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁: Building these detailed simulated environments takes forever. If it takes 7 days to build a simulated kitchen in simulation, wouldn't it be better to just collect real-world data in a real kitchen instead? 𝗗𝗼𝗻'𝘁 𝗴𝗲𝘁 𝗺𝗲 𝘄𝗿𝗼𝗻𝗴 - simulation is incredible for debugging, safety testing, and exploring edge cases. But it's not a magic solution to real-world deployment. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: Use simulation strategically while making real-world data collection as efficient and flexible as possible. This is why Neuracore focuses on streamlined real-world data infrastructure. Because no amount of virtual training can replace understanding how your robot actually behaves in actual environments. 𝗧𝗵𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗰𝗮𝗻'𝘁 𝗯𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗮𝘄𝗮𝘆. What’s been your experience with sim-to-real transfer?

Stephen James

25,347 просмотров • 11 месяцев назад

I graduated!!! I earned a Bachelor of Arts in Sociology with a concentration in Psychology, summa cum laude! Five years ago, I started this journey with an eighth-grade education, and even that was from a Scientology school, where critical thinking was discouraged and the quality of instruction was subpar, to say the least. I did not get here alone. Thank you to NYU School of Professional Studies and Angie Kamath. Thank you to everyone who supported me, encouraged me, and believed in me, especially on the days I was not sure I could do this. And there were plenty of those days. To my therapist, who told me not to give up when I was told I likely would not be accepted into a prestigious program. To my tutor, without whom I likely would have given up at the harder points along the way. To all those here who have sent me loving messages on social media. And to everyone else who has cheered me on in person through the ups and the downs of it, it means more than I can put into words. It got me over this finish line of being a student again and graduating. That goal once seemed impossible. To those who have asked me, “Why this? Why now?” I pursued higher education to reclaim a piece of myself. When you come out of a high-control group like Scientology, or even a high-control family, there are parts of you that were never allowed to fully develop. Those parts include your curiosity and your ability and right to question. Education was discouraged because knowledge creates confidence in your ability to trust your own mind and navigate the world. That leads to true independence, and that would never be allowed. I wanted that back. But more than that, I needed to understand. I needed to understand how my mother could have us join Scientology when I was just eight years old, and how my family and I could be part of something like this and stay in it for so long. I needed to understand how these systems work, how they influence people, and how they take hold. Without education, access to real information, and support, people can fall into systems that work against their best interests. Some assume that because they are educated, even highly educated, they would never fall for something like this. But it turns out that is not necessarily true. What many of us are impacted by, but never quite understand, is how high-control groups operate. Many still do not understand how misinformation spreads, and how tribalism and radicalization shape what we think, what we believe, and who and what we trust. Without that awareness, none of us are immune. Today, we are seeing how these forces can influence good people and distort reality. History has shown us that this is not new; it just comes in a different form now. Social media connects us in ways we never imagined, but it also creates echo chambers that reinforce beliefs and justify behavior without question. Real critical thinking is hard when we are fed so much by algorithms designed to appeal to us. In learning and achieving this milestone in my own life, it has helped me take a good, hard look at my own beliefs and ideologies. This journey was about healing for me, but also about figuring out how to help others in whatever way I can in the future. So what is in my future? I am considering continuing my education and possibly pursuing a master’s degree, with the goal of contributing to advocacy and policies that protect people, not systems. For now, I am taking this moment in. I am proud of myself. And I am grateful. Thank you for being on this journey with me.

I graduated!!! I earned a Bachelor of Arts in Sociology with a concentration in Psychology, summa cum laude! Five years ago, I started this journey with an eighth-grade education, and even that was from a Scientology school, where critical thinking was discouraged and the quality of instruction was subpar, to say the least. I did not get here alone. Thank you to NYU School of Professional Studies and Angie Kamath. Thank you to everyone who supported me, encouraged me, and believed in me, especially on the days I was not sure I could do this. And there were plenty of those days. To my therapist, who told me not to give up when I was told I likely would not be accepted into a prestigious program. To my tutor, without whom I likely would have given up at the harder points along the way. To all those here who have sent me loving messages on social media. And to everyone else who has cheered me on in person through the ups and the downs of it, it means more than I can put into words. It got me over this finish line of being a student again and graduating. That goal once seemed impossible. To those who have asked me, “Why this? Why now?” I pursued higher education to reclaim a piece of myself. When you come out of a high-control group like Scientology, or even a high-control family, there are parts of you that were never allowed to fully develop. Those parts include your curiosity and your ability and right to question. Education was discouraged because knowledge creates confidence in your ability to trust your own mind and navigate the world. That leads to true independence, and that would never be allowed. I wanted that back. But more than that, I needed to understand. I needed to understand how my mother could have us join Scientology when I was just eight years old, and how my family and I could be part of something like this and stay in it for so long. I needed to understand how these systems work, how they influence people, and how they take hold. Without education, access to real information, and support, people can fall into systems that work against their best interests. Some assume that because they are educated, even highly educated, they would never fall for something like this. But it turns out that is not necessarily true. What many of us are impacted by, but never quite understand, is how high-control groups operate. Many still do not understand how misinformation spreads, and how tribalism and radicalization shape what we think, what we believe, and who and what we trust. Without that awareness, none of us are immune. Today, we are seeing how these forces can influence good people and distort reality. History has shown us that this is not new; it just comes in a different form now. Social media connects us in ways we never imagined, but it also creates echo chambers that reinforce beliefs and justify behavior without question. Real critical thinking is hard when we are fed so much by algorithms designed to appeal to us. In learning and achieving this milestone in my own life, it has helped me take a good, hard look at my own beliefs and ideologies. This journey was about healing for me, but also about figuring out how to help others in whatever way I can in the future. So what is in my future? I am considering continuing my education and possibly pursuing a master’s degree, with the goal of contributing to advocacy and policies that protect people, not systems. For now, I am taking this moment in. I am proud of myself. And I am grateful. Thank you for being on this journey with me.

Leah Remini

756,549 просмотров • 4 месяцев назад

AI Is Moving Beyond “Generating Videos” — Toward “Generating Worlds” Over the past two years, AI video models have advanced at an astonishing pace. From Runway and Pika to Sora and Veo, AI-generated videos have become increasingly realistic and more consistent with the physical laws of the real world. Many people believe the next objective is simply to generate videos that are longer, sharper, and more lifelike. But if we take a step back, we can see that the real transformation is not happening in video itself. It is happening in world models. What Is a World Model? In 1943, psychologist Kenneth Craik proposed an idea that would influence artificial intelligence research for decades. He argued that the human brain does not merely react to the outside world. Instead, it maintains an internal model of how the world works. Because we have this internal model, we can predict the outcome of an action before we actually take it. Before crossing a road, we estimate whether a car will pass by. Before catching a ball, we predict its trajectory. These abilities come from continuously simulating the world in our minds, rather than relying entirely on trial and error. This idea later became known by a more formal term: World Model. A world model does not describe a single image or a fixed video clip. It is an internal representation capable of continuously simulating the rules and dynamics of the real world. Why Is AI Research Turning Toward World Models? Because predicting “what comes next” is becoming increasingly central to how AI systems work. Language models predict the next token. Image models predict the next step in the denoising process. Video models predict the next frame. A world model, however, attempts to predict something broader: What should the world look like in the next moment? In 2018, David Ha and Jürgen Schmidhuber proposed in their paper World Models that an intelligent agent could first learn a model of the world, and then use that internal model to plan its actions. The Dreamer series later demonstrated that many complex tasks could be learned by training agents inside an “imagined world.” At the same time, the development of video models such as Sora and Veo led researchers to another realization: A model capable of continuously generating video has already learned, at least implicitly, many of the rules governing the real world. As a result, these two research directions have gradually begun to converge. But Video Is Not Yet a World This is where the distinction is often misunderstood. For a world model to support meaningful real-time interaction, it must solve several critical problems. Most video models today are essentially answering one question: What should the next frame look like? A true world model needs to answer much more: What happens if I take one step forward? If I walk behind a building and then return, will the building still be there? If I suddenly change the camera angle, will the entire space remain consistent? If I enter a command such as: “Summon a dragon.” Will the world respond immediately? In other words, a world model must do more than generate content. It must understand space. It must understand time. It must understand causality. And it must understand interaction. Moving from watching to participating is where the real difficulty of world models begins. World Models Are Entering the Interactive Era One of the latest attempts in this direction is Alaya World, recently open-sourced by Alaya World, or Alaya Lab. Instead of generating a fixed video clip, it generates a world that users can explore in real time. Users can begin with text, an image, or a video, enter the generated scene, move freely through it, and introduce new prompts at any moment during generation. The world responds immediately. According to the publicly released information, Alaya World provides: Real-time streaming generation at 720p and 24 FPS Stable continuous exploration for more than one minute The ability to switch prompts and trigger skills or events during generation Model weights and inference code released under the Apache 2.0 License Training code and datasets planned for future release What makes these capabilities important is not simply the technical specifications. It is that the generated “world” can now support continuous interaction. The official demo shows that users can genuinely control, transform, and explore the generated environment. AI Is Evolving From a Tool Into an Environment Over the past few years, most discussions around AI have focused on content generation. Generating text. Generating images. Generating videos. But world models raise a fundamentally different question: Can AI generate an environment that people can inhabit, explore, and continuously evolve? If the answer is yes, the impact will extend far beyond video generation. Game development, robotics training, embodied intelligence, digital twins, virtual production, and many other fields could be transformed by the development of world models. World models are still at a very early stage. Yet from Craik’s proposal of an internal mental model more than eighty years ago to the emergence of today’s interactive world-generation systems, a clear evolutionary path is beginning to take shape. Perhaps what AI is ultimately learning has never been limited to images, videos, or language. Perhaps it is learning the world itself. References GitHub: Technical Report:

AI Is Moving Beyond “Generating Videos” — Toward “Generating Worlds” Over the past two years, AI video models have advanced at an astonishing pace. From Runway and Pika to Sora and Veo, AI-generated videos have become increasingly realistic and more consistent with the physical laws of the real world. Many people believe the next objective is simply to generate videos that are longer, sharper, and more lifelike. But if we take a step back, we can see that the real transformation is not happening in video itself. It is happening in world models. What Is a World Model? In 1943, psychologist Kenneth Craik proposed an idea that would influence artificial intelligence research for decades. He argued that the human brain does not merely react to the outside world. Instead, it maintains an internal model of how the world works. Because we have this internal model, we can predict the outcome of an action before we actually take it. Before crossing a road, we estimate whether a car will pass by. Before catching a ball, we predict its trajectory. These abilities come from continuously simulating the world in our minds, rather than relying entirely on trial and error. This idea later became known by a more formal term: World Model. A world model does not describe a single image or a fixed video clip. It is an internal representation capable of continuously simulating the rules and dynamics of the real world. Why Is AI Research Turning Toward World Models? Because predicting “what comes next” is becoming increasingly central to how AI systems work. Language models predict the next token. Image models predict the next step in the denoising process. Video models predict the next frame. A world model, however, attempts to predict something broader: What should the world look like in the next moment? In 2018, David Ha and Jürgen Schmidhuber proposed in their paper World Models that an intelligent agent could first learn a model of the world, and then use that internal model to plan its actions. The Dreamer series later demonstrated that many complex tasks could be learned by training agents inside an “imagined world.” At the same time, the development of video models such as Sora and Veo led researchers to another realization: A model capable of continuously generating video has already learned, at least implicitly, many of the rules governing the real world. As a result, these two research directions have gradually begun to converge. But Video Is Not Yet a World This is where the distinction is often misunderstood. For a world model to support meaningful real-time interaction, it must solve several critical problems. Most video models today are essentially answering one question: What should the next frame look like? A true world model needs to answer much more: What happens if I take one step forward? If I walk behind a building and then return, will the building still be there? If I suddenly change the camera angle, will the entire space remain consistent? If I enter a command such as: “Summon a dragon.” Will the world respond immediately? In other words, a world model must do more than generate content. It must understand space. It must understand time. It must understand causality. And it must understand interaction. Moving from watching to participating is where the real difficulty of world models begins. World Models Are Entering the Interactive Era One of the latest attempts in this direction is Alaya World, recently open-sourced by Alaya World, or Alaya Lab. Instead of generating a fixed video clip, it generates a world that users can explore in real time. Users can begin with text, an image, or a video, enter the generated scene, move freely through it, and introduce new prompts at any moment during generation. The world responds immediately. According to the publicly released information, Alaya World provides: Real-time streaming generation at 720p and 24 FPS Stable continuous exploration for more than one minute The ability to switch prompts and trigger skills or events during generation Model weights and inference code released under the Apache 2.0 License Training code and datasets planned for future release What makes these capabilities important is not simply the technical specifications. It is that the generated “world” can now support continuous interaction. The official demo shows that users can genuinely control, transform, and explore the generated environment. AI Is Evolving From a Tool Into an Environment Over the past few years, most discussions around AI have focused on content generation. Generating text. Generating images. Generating videos. But world models raise a fundamentally different question: Can AI generate an environment that people can inhabit, explore, and continuously evolve? If the answer is yes, the impact will extend far beyond video generation. Game development, robotics training, embodied intelligence, digital twins, virtual production, and many other fields could be transformed by the development of world models. World models are still at a very early stage. Yet from Craik’s proposal of an internal mental model more than eighty years ago to the emergence of today’s interactive world-generation systems, a clear evolutionary path is beginning to take shape. Perhaps what AI is ultimately learning has never been limited to images, videos, or language. Perhaps it is learning the world itself. References GitHub: Technical Report:

雪踏乌云

113,347 просмотров • 1 месяц назад

Wow. WOW. WOOOOOOOW. So um, that first Wildcard+Thousands stream was... amazing and also... a lot 😅 In the end, it was exactly what we were hoping for - a true stress test of ALL these systems coming together for the first time. We are SO grateful for the thousands of people who showed up today to play, attend, tune-in and help us PLAYTEST all this new stuff. We can't wait to see you all again at NEXT WEEK'S EX2 EVENT! So, now let's talk about how it went... Stuff that worked: - Our community SHOWED UP. Oh boy did you show up 😅. Our servers were straining under the load... which is good actually, in fact it's the whole point. Even more importantly, we have already received insanely valuable feedback, bug reports, stuff people loved/hated - and it's only been a few hours since the stream ended. I can't even explain to y'all how valuable this process is. Yes it's stressful, it reminds me of trying to keep Words With Friends online during that first insane year, but it's EXACTLY what we were hoping for (NEED) to turn this into the polished, top-notch game and streaming experience we are on a mission to deliver. I truly can't thank y'all enough, and hope to see you again when we run it all back again next week 🥹 - The stream itself stayed up and was mostly stable! Phew 😅. For context, ThousandsTV is not a twitch wrapper, it's a web3-native streaming tech stack built we built specifically to connect game, web/mobile, and blockchain together all at the same time. There are a LOT of moving pieces going on behind the scenes. - We brought viewers INTO THE GAME! Viewers showed up in the stands of the arena, with connected wallets/assets, triggered actions/rallies from chat, and were seen and heard during the whole stream. - The brand new 2v2 build of Wildcard was (mostly) stable and our players and viewers seemed to be having a blast down on the field and up in the stands. It was thrilling to watch Team Blue dominate, even though Team Red held their own in game 3! - Our production crew did an insanely good job running the stream, managing the players, shoutcasters, and talent, and producing a top-notch show. Of course we will work hard to make every stream better than the last, but I was super proud of how our team "rolled with the punches" during today's event. Stuff that didn't work (and/or needs to be dramatically improved): - Although it's fun to see chat going crazy, chat spam is actually something we are passionate to FIX. As you can see from the attached video, chat spam dominated today's stream and made it impossible for anyone to even see anyone else's messages. We have some GREAT ideas for how to fix this and actually turn chat spam into a FUN and exciting and not annoying thing - but those improvements didn't get shipped in time for this event. - Credits purchasing flow needs a LOT of work. As I'm sure y'all know, bringing money on chain is pretty complicated, and although we've been working hard to make this as seamless as possible, it still needs a TON of improvements. Many users who WANTED to spend money today weren't able to and/or ran into frustrating bugs in the credit purchase flow. Fixing this is obviously a top priority for our team. - Rallies need a LOT of work. Spectator-interactive features like rallies are at the heart of our vision for Wildcard. These "stream apps", as we call them, are the UNLOCK for how spectators, viewers and fans directly connect and interact with their favorite competitors, content creators, and communities. The current rally feature HINTS at this potential, but it needs to be WAY easier to understand, use, and have fun with. Improvements are ON THE WAY. - Referees were only partially working. Referees are a key innovation of the Thousands platform. They are AI-driven "personalities" (NPCs) that pay attention to everything that's happening in the arena, both on the field and especially in the stands (i.e. in chat, during rallies, etc.) The referees then make "calls" at the end of every match, rewarding users for their engagement and participation. Unfortunately, the referees weren't fully functional and seemed to drop the ball on recognizing everyone's contributions (especially people who showed up holding valuable assets such as Wildpasses in their wallets, and people who boosted those rallies with credits.) What's happening next: 1. We are combing through ALL the logs from the event right now, to make sure we don't miss a SINGLE action that our viewers and fans took during the event, including what they brought in their wallets (i.e. Wildpass holders!), any credits that were purchased, rallies that users engaged with, etc. This information is normally processed by our referees, who then determine dynamically how they're going to distribute $WC awards. We were originally hoping to complete this process and the subsequent airdrops within a few hours after the event, but given the amount of data, we need a bit more time to run these scripts (and airdrops) in batches instead of all at once, and make sure ALL of the data is being included. IMPORTANT: I will keep y'all updated in real-time here on twitter/X as this process is ongoing, and let you know the moment it's complete and all the awards have been distributed (i.e. when to go check your wallets 😎) 2. PLEASE keep sending us your feedback and bug reports. Open a ticket on our Discord and let us know what you loved, what you hated, and especially what we need to FIX. Given the overwhelming response to this event, it will likely take us several days to process everyone's feedback and fix all the bugs, but we WILL NOT REST until every ticket is closed/resolved. Thank you in advance for your patience. 3. We turn it up another notch next week. As our dear friends Wolves DAO just announced, the Wildcard Exhibition Event #2 is streaming LIVE from the WOLVES DEN AT GDC next Friday! If you missed out on all the action today, DON'T WORRY, because as I keep saying: we are just getting warmed up (and there is a LOT more b that needs to be distributed, get what I'm sayin??? 😎) Finally: Just wanted to say THANK YOU, again. Truly, from the bottom of my (our) hearts. Your excitement and enthusiasm for what we're building is why we do this. Even (especially, in fact) when you tell us all the things you want us to improve. We thrive off this feedback, it's how this game and this platform go from good to GREAT. I am so grateful for those of you who are taking this journey with us. SEE YA NEXT WEEK!!!

WildPaul - BEAST MODE

26,851 просмотров • 1 год назад

"PRICE IS WHAT YOU PAY. VALUE IS WHAT YOU GET." I keep buying $Kekec and I have a strong conviction. Here's Why: While the market is down, and Kekec is declining with it, there are data points that few are considering. Kekec borned in October and since then has been posting a different and original 30-second video every day, which I find extremely funny. For the past couple of months, they have also been posting daily on Instagram, and the attention on Kekec (which doesn't present itself on social media as a memecoin) is growing, moreover, it's increasing exponentially. The number of followers is increasing by about 500-1000 a day. This is largely due to the fact that they are not just focused on the main account but have several others that post reels and redirect to the main one. In short, an excellent strategy to keep growing more and more. Instagram link: Guess What? Not only are the followers increasing, but the team's workload is also growing. In fact, for a little over a month, they have also started pushing on YouTube, and the data here is promising as well. YouTube link: If we want to make a comparison, we can take Pudgy Penguins as an example, which has shown it can reach millions and millions of users without mentioning that they are a WEB3 company that owns an NFT collection. Or, if we want to be more appropriate by comparing one memecoin to another, we could take PONKE. Thanks to the use of social media and the quality of their content, they managed to achieve incredible numbers, which then translated into an increase in the coin's price. Kekec came before PONKE, but that doesn't necessarily mean it's better than PONKE. I believe PONKE is unbeatable in terms of content, but I want to make you reflect on an important point. PONKE came after KEKEC, and after PONKE's success, many coins have emerged trying to imitate it. One of KEKEC's strengths, in my opinion, is precisely the fact that it leverages social media without being a copy-paste. Instead, it is a unique meme derived from a 90's film, and it uses a unique form of content. In short, KEKEC > KEKEC and no one else. I want to conclude by suggesting you follow them on Instagram and evaluate not only the exponential growth of their followers day by day but also observe how the views of each reel increase accordingly. Pay special attention to the comments. Many of the people commenting have no idea what it is, and you can see from the comments how Kekec generates particular emotions in people—strange but still emotions. Personally, I believe that when something is unique and even very strange, it needs time to be adopted. However, once it happens, it usually explodes and spreads like never before. A few days ago, a Kekec video was posted by a very popular meme page. They probably don't know what Kekec is about but thought the video could spark interest among their followers. How many other pages will do the same? Lastly, but not least, I want to point out how Kekec maintains a good market cap despite everything that has happened in the crypto world since October 2023. As far as I know and have personally observed, everything is extremely organic. There is no cabal behind it, and the quality is not reflected in a single jpeg but in work that has been ongoing daily for months. Every day they work harder, and the quality of their videos grows as well. I have no affiliations with the team, but I believe that Kekec truly deserves more in this world where we push celebrity or cabal-backed coins to hundreds of millions in market cap. I keep buying because the numbers suggest so. Don't just evaluate the chart (price), evaluate the data (value). BÂLKÂN DWÂRF

"PRICE IS WHAT YOU PAY. VALUE IS WHAT YOU GET." I keep buying $Kekec and I have a strong conviction. Here's Why: While the market is down, and Kekec is declining with it, there are data points that few are considering. Kekec borned in October and since then has been posting a different and original 30-second video every day, which I find extremely funny. For the past couple of months, they have also been posting daily on Instagram, and the attention on Kekec (which doesn't present itself on social media as a memecoin) is growing, moreover, it's increasing exponentially. The number of followers is increasing by about 500-1000 a day. This is largely due to the fact that they are not just focused on the main account but have several others that post reels and redirect to the main one. In short, an excellent strategy to keep growing more and more. Instagram link: Guess What? Not only are the followers increasing, but the team's workload is also growing. In fact, for a little over a month, they have also started pushing on YouTube, and the data here is promising as well. YouTube link: If we want to make a comparison, we can take Pudgy Penguins as an example, which has shown it can reach millions and millions of users without mentioning that they are a WEB3 company that owns an NFT collection. Or, if we want to be more appropriate by comparing one memecoin to another, we could take PONKE. Thanks to the use of social media and the quality of their content, they managed to achieve incredible numbers, which then translated into an increase in the coin's price. Kekec came before PONKE, but that doesn't necessarily mean it's better than PONKE. I believe PONKE is unbeatable in terms of content, but I want to make you reflect on an important point. PONKE came after KEKEC, and after PONKE's success, many coins have emerged trying to imitate it. One of KEKEC's strengths, in my opinion, is precisely the fact that it leverages social media without being a copy-paste. Instead, it is a unique meme derived from a 90's film, and it uses a unique form of content. In short, KEKEC > KEKEC and no one else. I want to conclude by suggesting you follow them on Instagram and evaluate not only the exponential growth of their followers day by day but also observe how the views of each reel increase accordingly. Pay special attention to the comments. Many of the people commenting have no idea what it is, and you can see from the comments how Kekec generates particular emotions in people—strange but still emotions. Personally, I believe that when something is unique and even very strange, it needs time to be adopted. However, once it happens, it usually explodes and spreads like never before. A few days ago, a Kekec video was posted by a very popular meme page. They probably don't know what Kekec is about but thought the video could spark interest among their followers. How many other pages will do the same? Lastly, but not least, I want to point out how Kekec maintains a good market cap despite everything that has happened in the crypto world since October 2023. As far as I know and have personally observed, everything is extremely organic. There is no cabal behind it, and the quality is not reflected in a single jpeg but in work that has been ongoing daily for months. Every day they work harder, and the quality of their videos grows as well. I have no affiliations with the team, but I believe that Kekec truly deserves more in this world where we push celebrity or cabal-backed coins to hundreds of millions in market cap. I keep buying because the numbers suggest so. Don't just evaluate the chart (price), evaluate the data (value). BÂLKÂN DWÂRF

m0ment0

133,250 просмотров • 2 лет назад

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~~~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~~~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

Thank you Centre Pompidou Centre Pompidou, everyone who made Nature Manifesto happen, and all the people that took it in. We were happy to see the conversations that the use of AI in Nature Manifesto sparked !! Below is a message from Björk: ~ “ the flood of all things from AI is overwhelming !! i am super grateful for your concerns about it´s effects on the environment , it shows you care , are curious and have integrity . i am curious too , i would like to be more informed about the difference of "frugal" AI and the ones that do hugeenvironmental damage and want to be able to choose . i asked around and found out that both the visuals and the audio in our pompidou project were done with "frugal" AI . but i have a lot to learn . when we used some of the AI softwares to merge the animals voices to mine , some of the sounds were great but to be honest , the best blends of their voices and a human were done "manually" , me editing the sounds , choosing piece by piece , looking for personality , musicality and soul . with new technology , i try to use it as a tool to grow , not a crutch . for example when i used melodyne , i used it not for lazy voice progressions but spent even more time when using it . every note in every chord became intentionally more complex . ( for example choir in "thunderbolt" ) and hopefully stretched the potential more out , further than i would have in "normal analog" physical improvisations ... i felt with this new tool i could reach new places in my musical DNA , become MORE personal . more myself . in my opinion , this is how we will work in the future . humans can read emotions on an incredibly high scale . nature made us that way . if there is no soul in tomorrow's music made by AI it is because no-one put it there and we have to speak out and guard this as listeners . ( tbh there is a lot of soulless muzak on spotify already ... they don’t need any AI help for that ...) anything that is mass manufactured without the attention of creativity , is that way . AI or not so it is not about the tool it is what you do with it . " ~ The visuals for Nature Manifesto were crafted by the talented Sam Balfus, artificial intelligence being one of the multiple tools used in the process. The sound was produced in collaboration with artist Robin Meier and IRCAM IRCAM. IRCAM develops “frugal AI” capable of generating audio in real-time on local servers without a GPU, thus their models can f.ex. be embedded on tiny Raspberry Pi cards. We asked associate professor and researcher Philippe Esling to provide us with readings; Constance Douwe’s thesis “On the environmental impact of deep generative models for audio” and more, see links below. Nature Manifesto Immersive sound piece 3’40” (2024) 20 November to 9 December, 2024, Centre Pompidou, Paris. Presented as part of the forum “Biodiversity: Which culture for which future?” #ForumBiodiversité Concept and words by Björk & Aleph Music written and composed by Björk Curatorship: Chloé Siganos and Aleph Molinari Associate curator: Delphine Le Gatt Ircam Musical Computing: Robin Meier Wiratunga Sound engineer: Bergur Þórisson Animation: Sam Balfua Video editing: Santiago Molinari With activists: Camille Etienne, Claire Nouvian, Sigrun Perla Gísladóttir, Sæunn Júlía Sigurjónsdóttir, Titouan Pilliard, of BLOOM, Sustainable Ocean Alliance, and Ungir umhverfissinnar. In partnership with D&B Audio and Southby Productions. Reccommended resources :

björk

54,602 просмотров • 1 год назад

Mentava’s early literacy software has taken 2yos (almost 3) to an early 2nd grade reading level in as little as 3 months. Some people think this is a miracle. I do not. If a kid can learn fast, we let them learn fast. If a kid learns slower, we let them learn slower. This should be common sense, but unfortunately it’s opposed by the National Education Association, the National Council of Teachers of English, the National Council of Teachers in Mathematics, and many other groups who drive education policy. It’s a tragic indictment of our education system that Mentava simply reveals how fast some kids can learn and people think it’s a miracle. Mentava’s early literacy software has two main ingredients: curriculum + motivation There’s nothing revolutionary about Mentava’s curriculum. Our curriculum is a typical, extremely structured phonics curriculum. There is a massive body of evidence (and common sense) backing the idea that kids should learn to read by sounding out words. Armed with any decent phonics curriculum, I would expect a skilled parent/teacher who can motivate, engage, and teach a kid 1-1 on a daily basis over a period of several months to get similar results to our software. (I frequently recommend the book Teach Your Child to Read in 100 Easy Lessons as a cheaper alternative to Mentava.) So why do some families choose to pay $500/month for Mentava? Well, not everyone has the time/motivation/desire to become that teacher. Some people do, and they love that process. On the other hand, some families come to Mentava and say, “I used that book to teach my first child to read. It worked, we both hated it, and I will never do it again.” By contrast, my 4yo wakes me up in the morning asking to do Mentava. He gets mad in the evenings when I don’t have time to do it with him. He LOVES learning to read. What Mentava does exceptionally well is provide motivation and fun - without sacrificing academic rigor. Our team members led some of the top mobile and AAA games in the world. We are very very good at motivation design. In short, we take phonics and gamify it to be as fun, easy, efficient, and motivating as we can possibly make it. So, claims: - Mentava works really, really well for SOME kids - Mentava probably does not work well for ALL kids - Under ideal conditions, other phonics programs will probably perform similarly to Mentava (or better!) No research study will tell you whether Mentava is the best fit for your family. So we offer a two-week free trial. That’s enough time for some families to make it most of the way through our kindergarten curriculum. Use Mentava with the kids it works for. Don't use it with kids for whom it doesn't. Don’t overcomplicate things.

Mentava’s early literacy software has taken 2yos (almost 3) to an early 2nd grade reading level in as little as 3 months. Some people think this is a miracle. I do not. If a kid can learn fast, we let them learn fast. If a kid learns slower, we let them learn slower. This should be common sense, but unfortunately it’s opposed by the National Education Association, the National Council of Teachers of English, the National Council of Teachers in Mathematics, and many other groups who drive education policy. It’s a tragic indictment of our education system that Mentava simply reveals how fast some kids can learn and people think it’s a miracle. Mentava’s early literacy software has two main ingredients: curriculum + motivation There’s nothing revolutionary about Mentava’s curriculum. Our curriculum is a typical, extremely structured phonics curriculum. There is a massive body of evidence (and common sense) backing the idea that kids should learn to read by sounding out words. Armed with any decent phonics curriculum, I would expect a skilled parent/teacher who can motivate, engage, and teach a kid 1-1 on a daily basis over a period of several months to get similar results to our software. (I frequently recommend the book Teach Your Child to Read in 100 Easy Lessons as a cheaper alternative to Mentava.) So why do some families choose to pay $500/month for Mentava? Well, not everyone has the time/motivation/desire to become that teacher. Some people do, and they love that process. On the other hand, some families come to Mentava and say, “I used that book to teach my first child to read. It worked, we both hated it, and I will never do it again.” By contrast, my 4yo wakes me up in the morning asking to do Mentava. He gets mad in the evenings when I don’t have time to do it with him. He LOVES learning to read. What Mentava does exceptionally well is provide motivation and fun - without sacrificing academic rigor. Our team members led some of the top mobile and AAA games in the world. We are very very good at motivation design. In short, we take phonics and gamify it to be as fun, easy, efficient, and motivating as we can possibly make it. So, claims: - Mentava works really, really well for SOME kids - Mentava probably does not work well for ALL kids - Under ideal conditions, other phonics programs will probably perform similarly to Mentava (or better!) No research study will tell you whether Mentava is the best fit for your family. So we offer a two-week free trial. That’s enough time for some families to make it most of the way through our kindergarten curriculum. Use Mentava with the kids it works for. Don't use it with kids for whom it doesn't. Don’t overcomplicate things.

Niels Hoven 🐮

72,992 просмотров • 8 месяцев назад

This is the second of two posts I’m making about the teaching of Andy Stanley because I have a burden to warn people to be like the Bereans "examining the Scriptures daily to see if these things were so." (Acts 17:11). I have attached a short video clip where Stanley says we don’t know Jesus rose from the dead because the bible tells us so. He says it’s the other way around. Now how do we know Jesus bodily rose from the dead? Did any of us see it happen? No, it happened 2000 years ago. But haven’t people researched the resurrection and found all sorts of evidence consistent with Him rising from the dead. Yes, but such evidence, though powerful, and we can certainly use in our witnessing, does not ultimately prove He rose from the dead. In fact, no matter what evidence we point to in geology, biology, astronomy etc., none of this proves in an ultimate sense the bible is true. Now it is certainly true such evidence properly interpreted does confirm the bible’s history. For instance, the molecule of heredity DNA is a complex information system and language system. No one has seen matter produce information or a language from matter by natural processes. Our observations and experience show information and language have to come from an intelligence. Such evidence confirms an intelligence behind life. This certainly confirms the first verse of the bible, “In the beginning God created… .” But nonetheless, it’s not absolute proof. Think about it. We are finite beings living in the present. We don’t know everything. We don’t know how much we don’t know or do know in relation to whatever there is to know! When we try to interpret evidence of the present in relation to the past, how do we know we have all the relevant information to make the correct interpretation. Some information we don’t have could totally change our interpretation. That has certainly happened with scientists solving crimes using circumstantial evidence. When new evidence comes along, some of the interpretations change and certain people thought to be guilty were found they were innocent after-all. We need to have all the information needed. But we can’t know everything. However we have a book that claims over three thousand times to be the Word of God. This book claims that God moved people by His spirit to write His Word, what He wants revealed to us about life, the universe and history. This book, the bible, tells us that God knows everything, He is infinite in knowledge and wisdom. He has all information. “In whom are hidden all the treasures of wisdom and knowledge” (Colossians 2:3). If God’s Word is what it claims to be (and it is), then the infinite Creator God has revealed to us the key information we need to know to have the ability to correctly interpret this world in relation to the past, present and its purpose and meaning. “Therefore, we never stop thanking God that when you received his message from us, you didn’t think of our words as mere human ideas. You accepted what we said as the very word of God—which, of course, it is. And this word continues to work in you who believe” (1 Thessalonians 2:13). This means if we build our thinking on God’s Word, we build a Christian worldview to enable us to look at the world through “biblical glasses” and have the ability to correctly interpret and understand it. And Genesis 1-11 is the history that is foundational to the rest of the bible and thus our worldview. So, when we start with God’s Word we learn that the God revealed to us in the bible is the One Who created all things. Now by just looking at the world, for instance at DNA, we might deduce that there’s an intelligence behind life. But we would not know who that intelligence is unless revealed to us. The bible reveals who that intelligence is, God the father, Son, and Holy Spirit. But, if we just looked at the world with all its death, suffering and disease, we could assume that the intelligence behind life must be an ogre to make such a violent disease ridden suffering world. But when we start from God’s Word, we understand there was no death or disease to start with, but these entered the world because of sin. We also find man has a problem called sin which alienated him from God. We even find in Genesis that God promised someone would come to save us from our sin and restore our relationship with God (Genesis 3:15; 3:21). We learn later on that “someone” is Jesus--the one who became flesh for us, the babe in a manger 2000 years ago. It's important to understand we can’t know anything absolutely unless an absolute authority has revealed to us what we need to know. Now Andy Stanley claims we don’t know Jesus rose from the dead because the bible tells us so, but claims it’s the other way round, that because Jesus rose from the dead, we can believe what is says about this in the bible. In reality, Andy Stanley is actually claiming he knows all information about the resurrection to know it’s true so then he can proclaim what the bible says about the resurrection is true. This is not so. And remember from the previous post, Andy Stanley accepts man’s view of evolution and millions of years as true to declare what Genesis records about creation is not all true. So why shouldn't people take the word of others who claim Jesus didn't rise from the dead to then declare the account of the resurrection in the gospels can't be true. Stanley, as a finite fallen human being with very limited knowledge, starts outside the bible to go to the bible to make pronouncements over God’s written Word. No wonder he rejects a literal Genesis. Sadly, this is the case for the majority of our church leaders and Christian academics, particularly when it comes to Genesis. Think about it. Really Stanley is acting in accord with our sin nature because of what happened in Genesis 3. Part of our sin nature concerns us wanting to be our own god. Consider Genesis 3:1 and Genesis 3:5, the temptation by the devil. Satan tempted Adam and Eve to question God’s Word, and be want to be like God to decide good and evil, truth, etc., for themselves. In actuality, the statements Andy Stanley is making about Christianity and God’s Word are reflecting this sin problem we have. He is letting his sin nature master over him in this instance instead of letting God’s Word tell us clearly what we should believe. And I would say that about all Christians who reinterpret parts of the bible (like Genesis) because of beliefs from outside the bible. Now the whole bible is actually about Jesus, from the very first verse, that Jesus is the Creator (Colossians 1:16 “For by him all things were created,”), & and he is the Savior (Revelation 5:9), to the very last verse, “He who testifies to these things says, “Surely I am coming soon.” Amen. Come, Lord Jesus! The grace of the Lord Jesus be with all. Amen” (Revelation 22:20–21) God reveals all we need to know about Jesus in His Word. We know Jesus rose from the dead because the bible tells us so! We know we are sinners because the bible tells us so. We know we can be saved through faith in Christ because the bible tells us so. We know we need to repent of sin because the bible tells us so. As Christians we know we will spend eternity in Heaven because the bible tells us so. “So faith comes from hearing, and hearing through the word of God” (Romans 10:17). I still remember singing the chorus as a child Jesus loves me this I know, for the bible tells me so. Yes, the bible tells me so – that’s how know who Jesus is, that He is the Creator, that he died and rose from the dead, and that He is our Savior.

This is the second of two posts I’m making about the teaching of Andy Stanley because I have a burden to warn people to be like the Bereans "examining the Scriptures daily to see if these things were so." (Acts 17:11). I have attached a short video clip where Stanley says we don’t know Jesus rose from the dead because the bible tells us so. He says it’s the other way around. Now how do we know Jesus bodily rose from the dead? Did any of us see it happen? No, it happened 2000 years ago. But haven’t people researched the resurrection and found all sorts of evidence consistent with Him rising from the dead. Yes, but such evidence, though powerful, and we can certainly use in our witnessing, does not ultimately prove He rose from the dead. In fact, no matter what evidence we point to in geology, biology, astronomy etc., none of this proves in an ultimate sense the bible is true. Now it is certainly true such evidence properly interpreted does confirm the bible’s history. For instance, the molecule of heredity DNA is a complex information system and language system. No one has seen matter produce information or a language from matter by natural processes. Our observations and experience show information and language have to come from an intelligence. Such evidence confirms an intelligence behind life. This certainly confirms the first verse of the bible, “In the beginning God created… .” But nonetheless, it’s not absolute proof. Think about it. We are finite beings living in the present. We don’t know everything. We don’t know how much we don’t know or do know in relation to whatever there is to know! When we try to interpret evidence of the present in relation to the past, how do we know we have all the relevant information to make the correct interpretation. Some information we don’t have could totally change our interpretation. That has certainly happened with scientists solving crimes using circumstantial evidence. When new evidence comes along, some of the interpretations change and certain people thought to be guilty were found they were innocent after-all. We need to have all the information needed. But we can’t know everything. However we have a book that claims over three thousand times to be the Word of God. This book claims that God moved people by His spirit to write His Word, what He wants revealed to us about life, the universe and history. This book, the bible, tells us that God knows everything, He is infinite in knowledge and wisdom. He has all information. “In whom are hidden all the treasures of wisdom and knowledge” (Colossians 2:3). If God’s Word is what it claims to be (and it is), then the infinite Creator God has revealed to us the key information we need to know to have the ability to correctly interpret this world in relation to the past, present and its purpose and meaning. “Therefore, we never stop thanking God that when you received his message from us, you didn’t think of our words as mere human ideas. You accepted what we said as the very word of God—which, of course, it is. And this word continues to work in you who believe” (1 Thessalonians 2:13). This means if we build our thinking on God’s Word, we build a Christian worldview to enable us to look at the world through “biblical glasses” and have the ability to correctly interpret and understand it. And Genesis 1-11 is the history that is foundational to the rest of the bible and thus our worldview. So, when we start with God’s Word we learn that the God revealed to us in the bible is the One Who created all things. Now by just looking at the world, for instance at DNA, we might deduce that there’s an intelligence behind life. But we would not know who that intelligence is unless revealed to us. The bible reveals who that intelligence is, God the father, Son, and Holy Spirit. But, if we just looked at the world with all its death, suffering and disease, we could assume that the intelligence behind life must be an ogre to make such a violent disease ridden suffering world. But when we start from God’s Word, we understand there was no death or disease to start with, but these entered the world because of sin. We also find man has a problem called sin which alienated him from God. We even find in Genesis that God promised someone would come to save us from our sin and restore our relationship with God (Genesis 3:15; 3:21). We learn later on that “someone” is Jesus--the one who became flesh for us, the babe in a manger 2000 years ago. It's important to understand we can’t know anything absolutely unless an absolute authority has revealed to us what we need to know. Now Andy Stanley claims we don’t know Jesus rose from the dead because the bible tells us so, but claims it’s the other way round, that because Jesus rose from the dead, we can believe what is says about this in the bible. In reality, Andy Stanley is actually claiming he knows all information about the resurrection to know it’s true so then he can proclaim what the bible says about the resurrection is true. This is not so. And remember from the previous post, Andy Stanley accepts man’s view of evolution and millions of years as true to declare what Genesis records about creation is not all true. So why shouldn't people take the word of others who claim Jesus didn't rise from the dead to then declare the account of the resurrection in the gospels can't be true. Stanley, as a finite fallen human being with very limited knowledge, starts outside the bible to go to the bible to make pronouncements over God’s written Word. No wonder he rejects a literal Genesis. Sadly, this is the case for the majority of our church leaders and Christian academics, particularly when it comes to Genesis. Think about it. Really Stanley is acting in accord with our sin nature because of what happened in Genesis 3. Part of our sin nature concerns us wanting to be our own god. Consider Genesis 3:1 and Genesis 3:5, the temptation by the devil. Satan tempted Adam and Eve to question God’s Word, and be want to be like God to decide good and evil, truth, etc., for themselves. In actuality, the statements Andy Stanley is making about Christianity and God’s Word are reflecting this sin problem we have. He is letting his sin nature master over him in this instance instead of letting God’s Word tell us clearly what we should believe. And I would say that about all Christians who reinterpret parts of the bible (like Genesis) because of beliefs from outside the bible. Now the whole bible is actually about Jesus, from the very first verse, that Jesus is the Creator (Colossians 1:16 “For by him all things were created,”), & and he is the Savior (Revelation 5:9), to the very last verse, “He who testifies to these things says, “Surely I am coming soon.” Amen. Come, Lord Jesus! The grace of the Lord Jesus be with all. Amen” (Revelation 22:20–21) God reveals all we need to know about Jesus in His Word. We know Jesus rose from the dead because the bible tells us so! We know we are sinners because the bible tells us so. We know we can be saved through faith in Christ because the bible tells us so. We know we need to repent of sin because the bible tells us so. As Christians we know we will spend eternity in Heaven because the bible tells us so. “So faith comes from hearing, and hearing through the word of God” (Romans 10:17). I still remember singing the chorus as a child Jesus loves me this I know, for the bible tells me so. Yes, the bible tells me so – that’s how know who Jesus is, that He is the Creator, that he died and rose from the dead, and that He is our Savior.

Ken Ham

233,976 просмотров • 3 лет назад

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

I spent a month in Shenzhen visiting factories and robotics companies, and the contrast with the U.S. was striking. While Figure and Boston Dynamics hide their humanoids behind closed doors, Chinese companies have massive showrooms open to the public. But what really stood out wasn't just the transparency, it was how good they are at selling. Take UBTech: they've already sold 1,200 humanoid units at $200k each to factories. And here's the kicker, these robots aren't even that useful yet. They can only pick up and drop boxes at 1/10th the speed of a human, and factories still need to hire system integrators to train them for specific tasks. My theory is that these factories are terrified of getting left behind in the robotics/AI wave. They're investing in new tech not because it's ready, but because they can't afford to wait. The second surprise was the breadth of their robotics portfolio. These companies aren't just building humanoids, they're deploying service robots everywhere: restaurants, hotels, apartments. Consumer robots are cleaning houses, pools, pet waste, dishes. They're covering the entire spectrum. But the education piece shocked me most. I picked up what I thought was a high school or college robotics textbook, it was for primary school. The government mandated AI and robotics education starting in elementary school. Almost every single school in China now has AI and robotics curriculum, complete with education robots so kids can learn by building. They're creating a generation that grows up fluent in robotics and AI. China owns the supply chain and the hardware stack. But here's what I think people are missing: the race isn't just about who can build robots faster or cheaper. The U.S. advantage has always been in the layer between hardware and human, the interaction design, the software intelligence, the intuitive interfaces that make complex technology feel natural. China is building the physical infrastructure, but they're also learning fast. Every deployed service robot, every classroom full of kids building with education kits, every factory running humanoids, that's all data collection at scale. The window for the U.S. to establish its wedge is narrowing. It's not enough to be better at AI or software anymore. We need to be building the integration layer, the intelligence that makes physical AI actually useful, not just impressive in a showroom. Because right now, China isn't just manufacturing robots. They're manufacturing a robotics-native culture, and that might be the most defensible moat of all.

Miyu Horiuchi

90,718 просмотров • 7 месяцев назад

🚨 Aurora Alert! 🚨 Hey everyone, a Coronal Mass Ejection (CME) from the Sun is heading our way, potentially sparking strong aurora displays tonight into tomorrow (Nov 7-8). NOAA predicts arrival of the CME around midnight UTC on Nov 7, but add +/- 7 hours for uncertainty. The CME we are concerned with specifically launched due to an M7.4 CME produced by AR 4274. In coronagraph imagery, a full halo eruption iswasclearly seen. This is how we know this particular eruption is coming at us. When it will hit and how strong it will be are not things we can predict until we see the shockwave detected by satellites close to Earth (ACE, DSCOVR at the L1 point). The forecast shows possible G3 storming, and there are multiple CMEs on the way besides the main arrival around midnight on Nov 7. There is also a coronal hole that may enhance and add additional complexity to the situation, affecting arrival times of the CME(s). Conditions need to align for the best-case scenario to play out. The CME needs to hit (most models have a high % chance of this happening, but you never know), and the Bz needs to be southward for some time for conditions to ramp up. The auroral ovals may expand to lower latitudes, and chasers above the 45th parallel may see auroras all night long. During substorms, the aurora "explodes" across the sky and becomes bright and tall. These explosive bursts push the northern lights higher in the sky, making them appear further equatorward. Download my free e-book and check my blog for substorm info: E-book: Substorms: Your aurora apps will likely not tell you when a substorm is occuring, but these times are VERY important since we have a full moon. Without a substorm, you may not be able to see the aurora well. To track substorm activity, I use the GOES magnetometers. I have a tutorial about how to use these data on my website: . A few aurora apps/websites may help you track substorms. For example, the Glendale App issues alerts when substorms are occuring: . This app has a bit of a steeper learning curve compared to others, but it provides useful alerts for catching brief intensifications of aurora. I also like Norlys ( and Aurora Notice ( Webcams are probably the MOST helpful resources, though. I have a large list of cameras all around the world and the northern U.S. on my website: . If you see the aurora on a webcam near you, it is out at your location, too. The Maine webcam in particular is great to get a "feel" for how aurora might shape up across the Lower 48. I always have that one pulled up as sun sets on the east coast to see if aurora can immediately be seen on the northern horizon. Keep following for more updates on this event. I am at a workshop today until 5 pm MST then traveling back to Calgary on my way to the Aurora Summit, so be patient with my updates. I am working as fast as I can :) Thanks!

🚨 Aurora Alert! 🚨 Hey everyone, a Coronal Mass Ejection (CME) from the Sun is heading our way, potentially sparking strong aurora displays tonight into tomorrow (Nov 7-8). NOAA predicts arrival of the CME around midnight UTC on Nov 7, but add +/- 7 hours for uncertainty. The CME we are concerned with specifically launched due to an M7.4 CME produced by AR 4274. In coronagraph imagery, a full halo eruption iswasclearly seen. This is how we know this particular eruption is coming at us. When it will hit and how strong it will be are not things we can predict until we see the shockwave detected by satellites close to Earth (ACE, DSCOVR at the L1 point). The forecast shows possible G3 storming, and there are multiple CMEs on the way besides the main arrival around midnight on Nov 7. There is also a coronal hole that may enhance and add additional complexity to the situation, affecting arrival times of the CME(s). Conditions need to align for the best-case scenario to play out. The CME needs to hit (most models have a high % chance of this happening, but you never know), and the Bz needs to be southward for some time for conditions to ramp up. The auroral ovals may expand to lower latitudes, and chasers above the 45th parallel may see auroras all night long. During substorms, the aurora "explodes" across the sky and becomes bright and tall. These explosive bursts push the northern lights higher in the sky, making them appear further equatorward. Download my free e-book and check my blog for substorm info: E-book: Substorms: Your aurora apps will likely not tell you when a substorm is occuring, but these times are VERY important since we have a full moon. Without a substorm, you may not be able to see the aurora well. To track substorm activity, I use the GOES magnetometers. I have a tutorial about how to use these data on my website: . A few aurora apps/websites may help you track substorms. For example, the Glendale App issues alerts when substorms are occuring: . This app has a bit of a steeper learning curve compared to others, but it provides useful alerts for catching brief intensifications of aurora. I also like Norlys ( and Aurora Notice ( Webcams are probably the MOST helpful resources, though. I have a large list of cameras all around the world and the northern U.S. on my website: . If you see the aurora on a webcam near you, it is out at your location, too. The Maine webcam in particular is great to get a "feel" for how aurora might shape up across the Lower 48. I always have that one pulled up as sun sets on the east coast to see if aurora can immediately be seen on the northern horizon. Keep following for more updates on this event. I am at a workshop today until 5 pm MST then traveling back to Calgary on my way to the Aurora Summit, so be patient with my updates. I am working as fast as I can :) Thanks!

Vincent Ledvina

24,437 просмотров • 10 месяцев назад