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Twelve years ago we asked the question: how can we put public data "on wheels"? Datawheel was born from vision that data alone doesn't get far. It needs vehicles to reach hearts and minds. Vehicles that make data easy to find, explore, and understand. Today, Datawheel turns twelve. In... show more

César A. Hidalgo

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12,931 次观看 • 1 年前 •via X (Twitter)

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Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

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Asked Rafael Stone about lineup data that suggests the Rockets have been better without Jalen Green this season: "That's a really flawed question. There's great data that we have and we use. I can make data say whatever I want it to say. We heavily use it, but we're careful."

Asked Rafael Stone about lineup data that suggests the Rockets have been better without Jalen Green this season: "That's a really flawed question. There's great data that we have and we use. I can make data say whatever I want it to say. We heavily use it, but we're careful."

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Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

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#WATCH | Delhi: On National Statistics Day, Saurabh Garg, Secretary, Ministry of Statistics and Programme Implementation, says, "The theme for National Statistics Day celebration is ' Unlocking the potential of administrative data'. Over the past decade, we have a lot of administrative data, especially because of the growth of Digital India. How we can leverage this administrative data for decision-making is the theme for today's discussions. The PM has been focusing on data-driven decision-making. This is in the context that if we are talking of a Viksit Bharat by 2047, the policies that we take, the decisions that we make, have to be so much more focused and more data-driven. Ministry of Statistics is helping to ensure that the data is more harmonised to make it interoperable."

#WATCH | Delhi: On National Statistics Day, Saurabh Garg, Secretary, Ministry of Statistics and Programme Implementation, says, "The theme for National Statistics Day celebration is ' Unlocking the potential of administrative data'. Over the past decade, we have a lot of administrative data, especially because of the growth of Digital India. How we can leverage this administrative data for decision-making is the theme for today's discussions. The PM has been focusing on data-driven decision-making. This is in the context that if we are talking of a Viksit Bharat by 2047, the policies that we take, the decisions that we make, have to be so much more focused and more data-driven. Ministry of Statistics is helping to ensure that the data is more harmonised to make it interoperable."

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🚨 NEW — Dr. Marty Makary Confirms the Leaked Memo Linking COVID Vaccines to Child Deaths “In science, we often release top line data while we put together the details of that data to make it public. It will be public … These cases were reviewed by career FDA staff physicians who did a detailed investigation.”

🚨 NEW — Dr. Marty Makary Confirms the Leaked Memo Linking COVID Vaccines to Child Deaths “In science, we often release top line data while we put together the details of that data to make it public. It will be public … These cases were reviewed by career FDA staff physicians who did a detailed investigation.”

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● Nigerians can now be proud to say they have a command and control data centre that is a state-of-the-art data centre. ● It can store 1.4 petabytes of data. ● All our international airports are connected to it. ●Land and sea borders are connected to it too. A new dawn, evidence of #RenewedHope. #NISDataCentre

● Nigerians can now be proud to say they have a command and control data centre that is a state-of-the-art data centre. ● It can store 1.4 petabytes of data. ● All our international airports are connected to it. ●Land and sea borders are connected to it too. A new dawn, evidence of #RenewedHope. #NISDataCentre

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The US Department of Energy mapped out all of the current data centers, data centers under construction & data centers currently in the planning stages. We’ve heard for years how vulnerable our grid is. Now we are supposed to believe that it can withstand all of this new demand?

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NEW: "The data that we have now all suggest that transmission that spread between people happens when people are symptomatic." "That gives us one layer of added protection to know when the risk is going to be greatest and how we can best protect the health and safety of the passenger and the American public."

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Chris Nelson 🏝️🇺🇸

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Powell: The point is that we are starting to see layoffs and important gatherers of data are saying that they are having to cut back on the size of their surveys and that will lead to more volatility in the surveys. I think we should take a step back. From our standpoint, having really good data on the state of the economy at any given time is a huge public good.

Powell: The point is that we are starting to see layoffs and important gatherers of data are saying that they are having to cut back on the size of their surveys and that will lead to more volatility in the surveys. I think we should take a step back. From our standpoint, having really good data on the state of the economy at any given time is a huge public good.

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We had asked for recounting of those EVMs where the data was suspicious. EC said that the data in those EVMs has been wiped out, we can have recounting of fresh data. Is this a joke?- Mr. Jitendra Awahad🔥

We had asked for recounting of those EVMs where the data was suspicious. EC said that the data in those EVMs has been wiped out, we can have recounting of fresh data. Is this a joke?- Mr. Jitendra Awahad🔥

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#NewPaper The first microscope, invented in the 16th century, was designed to unlock the secrets of the microscopic world. Today, as many fields become increasingly data-driven, there is a pressing need for new types of microscopes---tools that help us zoom in, explore, and understand complex data. We call these tools "algorithmic microscopes." Introducing the Vendiscope: The first algorithmic microscope for data collections. 🔬 The Vendiscope maximizes the probability-weighted Vendi Score of a dataset to assign a weight to each element in the collection. This weight represents a data point's contribution to the overall diversity of the collection. These weights enable high-resolution data analysis at scale. We use them to zoom in on datasets across three domains: biology, materials science, & AI. 🧬 Biology: We used the Vendiscope on the protein universe, which contains nearly 250 million proteins. We found that nearly 200 million of the proteins are near-duplicates of each other and that AlphaFold fails on proteins that contribute most to the diversity of the protein universe. (See GIF below). 🪜 Materials Science: We used the Vendiscope on the Materials Project database, which contains 170K materials as of today. We found that 85% of crystals with formation energy data are near-duplicates of each other and that ML models for materials property prediction struggle with materials that contribute most to diversity. 🤖 Artificial Intelligence: We applied the Vendiscope to CIFAR-10, a benchmark dataset containing 50K images. We found duplicates. We applied the Vendiscope to analyze state-of-the-art generative models trained on this dataset. We found the best generative models memorize training data, as is known in the AI literature. However, we can do more with the Vendiscope and characterize the type of samples that get memorized. We found that data points contributing least to diversity are more prone to memorization by these generative models. 🧠 "Our findings demonstrate that the Vendiscope can serve as a powerful tool for data-driven science, providing a systematic and scalable way to identify duplicates and outliers, as well as pinpointing samples prone to memorization and those that models may struggle to predict---even before training." 💫 "The Vendiscope provides a unified framework for analyzing complex data at scale. Researchers, engineers, and data auditors can use the Vendiscope to audit datasets, identify potential biases, and refine data collection practices. For AI ethicists, the Vendiscope offers a critical lens to understand how models interact with data, particularly in the context of bias, memorization, and data fairness, enabling better mitigation strategies to prevent undesirable outcomes in AI deployment. For scientists, the Vendiscope represents a new companion in the discovery process." #VendiScoring #AlgorithmicMicroscopy Link to paper: Authors: Amey Pasarkar (Amey Pasarkar) and Adji Bousso Dieng (@adjiboussodieng)

Vertaix® (AI & Science)

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🔥 Dr. Robert Malone goes off script to address those who are quick to dismiss the data. “We recognize that although we may have differences of interpretation, there are core data that we can use to guide our thinking and our decisions. And we shouldn't just discard information because we find it inconvenient.”

🔥 Dr. Robert Malone goes off script to address those who are quick to dismiss the data. “We recognize that although we may have differences of interpretation, there are core data that we can use to guide our thinking and our decisions. And we shouldn't just discard information because we find it inconvenient.”

Children’s Health Defense

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Brennan tried to shift gears—falling back on CDC data to argue that even healthy kids remained at risk. “So the CDC data said 41% of children aged 6 months to 17 years hospitalized with COVID between 2022 and 2024 did not have a known underlying condition. In other words, they looked healthy,” she said. “And COVID was serious for them.” But Makary was ready. Calm and precise, he dismantled the claim with surgical clarity. “So first of all, we know the CDC data is contaminated with a lot of false positives from incidental positive COVID tests with routine testing of every kid that walks in the hospital.” “We know that data historically under the Biden administration did not distinguish being sick from COVID or an incidental positive COVID test.” He shared what he’s heard from the people who actually run the ICUs in America. “When you go to an ICU in America and you ask how many people are in the ICU that are healthy, that are sick with COVID? The answer I get again, again is we haven’t seen that in a year or years.” That’s why, he warned, making universal recommendations based on flawed data isn’t just wrong—it’s dangerous. “And so the worst thing you can do in public health is to put out an absolute universal recommendation in young, healthy kids.” “And the vast majority of Americans are saying, no, we want to see some data. And you say, forget about the data, just get it anyway.”

Brennan tried to shift gears—falling back on CDC data to argue that even healthy kids remained at risk. “So the CDC data said 41% of children aged 6 months to 17 years hospitalized with COVID between 2022 and 2024 did not have a known underlying condition. In other words, they looked healthy,” she said. “And COVID was serious for them.” But Makary was ready. Calm and precise, he dismantled the claim with surgical clarity. “So first of all, we know the CDC data is contaminated with a lot of false positives from incidental positive COVID tests with routine testing of every kid that walks in the hospital.” “We know that data historically under the Biden administration did not distinguish being sick from COVID or an incidental positive COVID test.” He shared what he’s heard from the people who actually run the ICUs in America. “When you go to an ICU in America and you ask how many people are in the ICU that are healthy, that are sick with COVID? The answer I get again, again is we haven’t seen that in a year or years.” That’s why, he warned, making universal recommendations based on flawed data isn’t just wrong—it’s dangerous. “And so the worst thing you can do in public health is to put out an absolute universal recommendation in young, healthy kids.” “And the vast majority of Americans are saying, no, we want to see some data. And you say, forget about the data, just get it anyway.”

The Vigilant Fox 🦊

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AI only exists today because it is trained on real data. The better the data input, The better the AI output. We capture incredibly high-quality raw data of real humans, in 3D, from all angles. You do the Math ✍🏻 Our data can vastly improve and expand the capabilities of AI

AI only exists today because it is trained on real data. The better the data input, The better the AI output. We capture incredibly high-quality raw data of real humans, in 3D, from all angles. You do the Math ✍🏻 Our data can vastly improve and expand the capabilities of AI

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