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Qubic #OpenScience #Neuraxon Life 2.5 (Research) version code released & and a new Hugging Face massive dataset, almost 500Gb of raw TimeSeries Game data, 10 Sessions with 270+ rounds each, in total 100K+ Nxers in 2791 games with 3.76 Million Neurons & 17M Synapses to explore in a huge...

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David Vivancos - e/acc

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12,495 görüntüleme • 4 ay önce •via X (Twitter)

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Finally Neuraxon is out!!! Our new paper & code & demo by Jose Sánchez & David Vivancos - e/acc expanding on the Qubic #Aigarth #intelligenttissue by Come-from-Beyond the path towards #TrueAI "A New Neural Growth & Computation Blueprint" one step forward to #AGI & #ASI Read the preprint Paper: (All the details of our ongoing research) Explore the Code: (Please give us a⭐fork and build!) Play with the Interactive Demo: (Build your own Neuraxon NetWork) Andrej Karpathy do you want to give it a try? Beff (e/acc) can we try it on Extropic hw? And more to come stay tuned! #EAGI #Neuraxon #Trinarystates #Continuousprocessing #Synapticdynamics #Neuralplasticity #Spontaneousactivity #Temporalsynchronisation #Bioinspiredcomputation #Artificiology
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Finally Neuraxon is out!!! Our new paper & code & demo by Jose Sánchez & David Vivancos - e/acc expanding on the Qubic #Aigarth #intelligenttissue by Come-from-Beyond the path towards #TrueAI "A New Neural Growth & Computation Blueprint" one step forward to #AGI & #ASI Read the preprint Paper: (All the details of our ongoing research) Explore the Code: (Please give us a⭐fork and build!) Play with the Interactive Demo: (Build your own Neuraxon NetWork) Andrej Karpathy do you want to give it a try? Beff (e/acc) can we try it on Extropic hw? And more to come stay tuned! #EAGI #Neuraxon #Trinarystates #Continuousprocessing #Synapticdynamics #Neuralplasticity #Spontaneousactivity #Temporalsynchronisation #Bioinspiredcomputation #Artificiology

David Vivancos - e/acc

109,987 görüntüleme • 7 ay önce

Yes Ilya Sutskever "human neurons actually do more compute than we think" that's why Jose Sánchez & David Vivancos - e/acc just published the preprint of #Neuraxon finally updating the 1958 Perceptron to what we know in 2025 of real #Neuroscience and #BioInspiredAI for #QubicScience Qubic in the path to #TrueAI #AGI #ASI #BeyondLLMs Read The preprint here: Explore the Code: Intereactive Demos at Hugging Face: And the ongoing researh on #ArtificialLife BTW Great Dwarkesh Patel Interview
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Yes Ilya Sutskever "human neurons actually do more compute than we think" that's why Jose Sánchez & David Vivancos - e/acc just published the preprint of #Neuraxon finally updating the 1958 Perceptron to what we know in 2025 of real #Neuroscience and #BioInspiredAI for #QubicScience Qubic in the path to #TrueAI #AGI #ASI #BeyondLLMs Read The preprint here: Explore the Code: Intereactive Demos at Hugging Face: And the ongoing researh on #ArtificialLife BTW Great Dwarkesh Patel Interview

David Vivancos - e/acc

15,457 görüntüleme • 6 ay önce

Hey #NeuraxonMini is literally out! , we manage to "transplant" a Neuraxon 2 bioinspired #AI brain to a physical robot the #SpheroMini moving from our last Scientific Paper (link bellow) by David Vivancos - e/acc & Jose Sánchez for Qubic #OpenScience hybridized with #Aigarth to the real World. First you need a Sphero Education Mini robot about 50$ Then you can try the first cool demos at Hugging Face: 1.- Neuraxon2MiniControl to drive the sphero robot 2.- Neuraxon2MiniWrite to write letters or words with physical moves of the sphero robot using Neuraxon Video Tutorials on youtube later today. Why this matters? Remember we are not building "dead" LLMs we are building #AliveAIs and for that we need to explore how it behaves in reality, from how it learns to how it fails, and what better way that in the emerging field of #robotics , time will tell if your next #HumanoidRobot have a #Neuraxon brain... Read the Paper: Explore the Neuraxon code here: Are you ready for #TrueAI ?
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Hey #NeuraxonMini is literally out! , we manage to "transplant" a Neuraxon 2 bioinspired #AI brain to a physical robot the #SpheroMini moving from our last Scientific Paper (link bellow) by David Vivancos - e/acc & Jose Sánchez for Qubic #OpenScience hybridized with #Aigarth to the real World. First you need a Sphero Education Mini robot about 50$ Then you can try the first cool demos at Hugging Face: 1.- Neuraxon2MiniControl to drive the sphero robot 2.- Neuraxon2MiniWrite to write letters or words with physical moves of the sphero robot using Neuraxon Video Tutorials on youtube later today. Why this matters? Remember we are not building "dead" LLMs we are building #AliveAIs and for that we need to explore how it behaves in reality, from how it learns to how it fails, and what better way that in the emerging field of #robotics , time will tell if your next #HumanoidRobot have a #Neuraxon brain... Read the Paper: Explore the Neuraxon code here: Are you ready for #TrueAI ?

David Vivancos - e/acc

29,293 görüntüleme • 3 ay önce

#AGI is coming ⌚️ $QUBIC highlighted by David Vivancos - e/acc in the Morabanc conference
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#AGI is coming ⌚️ $QUBIC highlighted by David Vivancos - e/acc in the Morabanc conference

Alber ױ

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A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.
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A Rerun Viewer for the DROID Dataset! DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.

Rerun

21,760 görüntüleme • 2 yıl önce

Are you ready for Qubic #OpenScience #MultiNeuraxon ?
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Are you ready for Qubic #OpenScience #MultiNeuraxon ?

David Vivancos - e/acc

17,932 görüntüleme • 2 ay önce

Exploring the mind-blowing ARCO-ERA5 dataset: hourly data for almost 300 climate variables, available globally from 1940 onwards!🤯 All packaged into a single cloud-friendly Zarr file, and loadable with a single line of Python code - crazy! Below: a month of wind waves + swell:
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Exploring the mind-blowing ARCO-ERA5 dataset: hourly data for almost 300 climate variables, available globally from 1940 onwards!🤯 All packaged into a single cloud-friendly Zarr file, and loadable with a single line of Python code - crazy! Below: a month of wind waves + swell:

Dr Robbi Bishop-Taylor 🦋

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With only one line of code, you can get access to Google Open Buildings, the largest building dataset, for any country.
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With only one line of code, you can get access to Google Open Buildings, the largest building dataset, for any country.

Lior Alexander

500,709 görüntüleme • 9 ay önce

Skywork Matrix-Game 3.0 is here! FULLY OPEN SOURCE! Real-Time and Streaming Interactive World Model with Long-Horizon Memory - Fully open source: code, model, and technical report - 720p @ 40FPS with a 5B model - Minute-long memory consistency - Trained on Unreal Engine + AAA games + real-world data - Scales up to 28B MoE for quality, dynamics, and generalization Homepage 👉 Code 👉 Model 👉 Tech report 👉 Create. Explore. Play. With Matrix-Game 3.0
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Skywork Matrix-Game 3.0 is here! FULLY OPEN SOURCE! Real-Time and Streaming Interactive World Model with Long-Horizon Memory - Fully open source: code, model, and technical report - 720p @ 40FPS with a 5B model - Minute-long memory consistency - Trained on Unreal Engine + AAA games + real-world data - Scales up to 28B MoE for quality, dynamics, and generalization Homepage 👉 Code 👉 Model 👉 Tech report 👉 Create. Explore. Play. With Matrix-Game 3.0

Skywork

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I embedded all of Paul Graham’s essays. All 605,870 tokens worth. Use OpenAI’s new model to search & chat with them at Code & dataset is 100% open-source for anyone to use. GitHub:
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I embedded all of Paul Graham’s essays. All 605,870 tokens worth. Use OpenAI’s new model to search & chat with them at Code & dataset is 100% open-source for anyone to use. GitHub:

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E-AGI is an acronym I coined & title of my 4th book, that will have it’s premier at my next Qubic #Aigarth keynote, will give it on dec 7th in #Ljubljana, #Qubic #TrueAI is a very promissing approach & game changer in the field of #decentralized #AI worth having in your radar. #EAGI E-AGI stands for Embodied Artificial General Intelligence and the book is just one piece into my work on the #Artificiology platform that is already in a very limited private beta, stay tunned for more and see you all in #Slovenia , great time to meet the Qubic team Alber ױ @foleycious Talentnodes Leslie Kivit Andrew Deighan and many more!
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E-AGI is an acronym I coined & title of my 4th book, that will have it’s premier at my next Qubic #Aigarth keynote, will give it on dec 7th in #Ljubljana, #Qubic #TrueAI is a very promissing approach & game changer in the field of #decentralized #AI worth having in your radar. #EAGI E-AGI stands for Embodied Artificial General Intelligence and the book is just one piece into my work on the #Artificiology platform that is already in a very limited private beta, stay tunned for more and see you all in #Slovenia , great time to meet the Qubic team Alber ױ @foleycious Talentnodes Leslie Kivit Andrew Deighan and many more!

David Vivancos - e/acc

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6. Explore the basics of Python in Harvard’s CS50 course—perfect for getting started with coding, data science, web development, and more.
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6. Explore the basics of Python in Harvard’s CS50 course—perfect for getting started with coding, data science, web development, and more.

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Spatial AI ( is building large real-world datasets to teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.
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Spatial AI ( is building large real-world datasets to teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.

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Apple’s Embedding Atlas (MIT license) lets you explore, cluster, search, and filter millions of points in real time with WebGPU. Great for AI, data science, and research. Demo: apple.github .io/embedding-atlas Source: github .com/apple/embedding-atlas
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Apple’s Embedding Atlas (MIT license) lets you explore, cluster, search, and filter millions of points in real time with WebGPU. Great for AI, data science, and research. Demo: apple.github .io/embedding-atlas Source: github .com/apple/embedding-atlas

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1/ AI research is only as good as the data behind it. What if every contribution to AI research, every dataset, every model tweak, & every discovery was provably tracked? We’re partnering with Hetu to bring verifiable AI research to life with DeepProve 🧵
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1/ AI research is only as good as the data behind it. What if every contribution to AI research, every dataset, every model tweak, & every discovery was provably tracked? We’re partnering with Hetu to bring verifiable AI research to life with DeepProve 🧵

LAGRANGE

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Minister Harris has announced €1.9 million funding for the National Action Plan for Open Research. This will increase public engagement with research and citizen science, establish a culture of open research and work towards 100% open access to research.
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Minister Harris has announced €1.9 million funding for the National Action Plan for Open Research. This will increase public engagement with research and citizen science, establish a culture of open research and work towards 100% open access to research.

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And we’re live!! 🚀🚀🚀 We got OpenAI to generate graphs 📊 for any dataset 🤯 This week Antony and I hacked together a free tool to chat with your data goodbye complex pivot tables, here's the story 👇
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And we’re live!! 🚀🚀🚀 We got OpenAI to generate graphs 📊 for any dataset 🤯 This week Antony and I hacked together a free tool to chat with your data goodbye complex pivot tables, here's the story 👇

Dominic Whyte

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Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.
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Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.

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Today we’re releasing SAIR, the Structurally Augmented IC50 Repository. SAIR is the Largest Open-Sourced Binding Affinity Dataset with Cofolded 3D Structures. It includes more than 5 million protein-ligand structures, generated using our Large Quantitative Models and labeled with binding affinity data. By providing this unprecedented scale of structure-activity data, we aim to enable researchers to train and evaluate new AI models for drug discovery, bridging the historical gap between molecular structures and drug potency prediction. The SAIR dataset was created using the NVIDIA DGX Cloud and is now publicly available on the Google Cloud Platform. Access and build with SAIR today! 📰Read the Press Release: 📥Learn More and Download the Dataset at #DrugDiscovery #LQMs #SAIR #AIforScience #SandboxAQ
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Today we’re releasing SAIR, the Structurally Augmented IC50 Repository. SAIR is the Largest Open-Sourced Binding Affinity Dataset with Cofolded 3D Structures. It includes more than 5 million protein-ligand structures, generated using our Large Quantitative Models and labeled with binding affinity data. By providing this unprecedented scale of structure-activity data, we aim to enable researchers to train and evaluate new AI models for drug discovery, bridging the historical gap between molecular structures and drug potency prediction. The SAIR dataset was created using the NVIDIA DGX Cloud and is now publicly available on the Google Cloud Platform. Access and build with SAIR today! 📰Read the Press Release: 📥Learn More and Download the Dataset at #DrugDiscovery #LQMs #SAIR #AIforScience #SandboxAQ

SandboxAQ

129,416 görüntüleme • 11 ay önce

Updated July Fund with a new research center component that lets you explore more than 20+ thesis' and perspectives with Jaytel Code by Johnny Slack Live
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Updated July Fund with a new research center component that lets you explore more than 20+ thesis' and perspectives with Jaytel Code by Johnny Slack Live

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