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Privately owned data will create some of the strongest AI models and tech companies have been accumulating data for years..... $AMZN accumulating data for 31 years $MSFT accumulating data for 51 years $META accumulating data for 22 years They will come back stronger

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Bourbon Capital

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76,788 просмотров • 2 месяцев назад •via X (Twitter)

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Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.
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Schaeffler is bringing UK's humanoid robots from concept to factory reality. Within the next 5 years, hundreds of humanoid robots will be deployed in Schaeffler's global factories, with beta versions first implemented in 2026–2027. Schaeffler is also becoming the preferred supplier of joint actuators for the humanoid wheeled platform and is jointly exploring next-generation actuator architectures with its partner. More importantly, the two companies will collaborate deeply on data and skills: continuously accumulating real-world manufacturing data through teleoperation, synthetic data, and peripheral data acquisition robots to train AI models, enabling humanoid robots to learn faster and perform more reliably in the factory.

CyberRobo

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1/ New episode – Enabling User-Owned Data to Create User-Owned AI with Anna Kazlauskas from vana Host: Connor Lovely We discuss: - Why private data hasn't mattered much, until now - Building an EVM-compatible L1 for DataDAOs - $VANA tokenomics and how to get involved Timestamps: 00:00 - Introduction 01:45 - Impact of DeepSeek on AI and User Privacy 04:22 - User Awareness and Data Storage Concerns 06:28 - The Shift in AI Narrative 07:14 - Anna's Journey into User-Owned Data 10:45 - Vana's Technical Framework and Privacy 12:20 - The Need for Data Sovereignty in AI 13:27 - Building a Layer 1 Blockchain 15:51 - Data DAOs: A New Approach to Data Ownership 17:15 - Understanding Data DAOs and Their Function 22:47 - The Role of Data Ownership in Social Platforms 24:51 - Negotiating Better Terms for Data Ownership 26:40 - Bringing Data to Vana and AI Applications 28:09 - Privacy-Preserving Compute Solutions 29:22 - Tokenomics of Vana 30:55 - Data DAO Specific Tokens and Their Role 31:22 - Final Thoughts on Vana's Vision 32:30 - Where to Find More Information Watch on all platforms below ⬇️
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1/ New episode – Enabling User-Owned Data to Create User-Owned AI with Anna Kazlauskas from vana Host: Connor Lovely We discuss: - Why private data hasn't mattered much, until now - Building an EVM-compatible L1 for DataDAOs - $VANA tokenomics and how to get involved Timestamps: 00:00 - Introduction 01:45 - Impact of DeepSeek on AI and User Privacy 04:22 - User Awareness and Data Storage Concerns 06:28 - The Shift in AI Narrative 07:14 - Anna's Journey into User-Owned Data 10:45 - Vana's Technical Framework and Privacy 12:20 - The Need for Data Sovereignty in AI 13:27 - Building a Layer 1 Blockchain 15:51 - Data DAOs: A New Approach to Data Ownership 17:15 - Understanding Data DAOs and Their Function 22:47 - The Role of Data Ownership in Social Platforms 24:51 - Negotiating Better Terms for Data Ownership 26:40 - Bringing Data to Vana and AI Applications 28:09 - Privacy-Preserving Compute Solutions 29:22 - Tokenomics of Vana 30:55 - Data DAO Specific Tokens and Their Role 31:22 - Final Thoughts on Vana's Vision 32:30 - Where to Find More Information Watch on all platforms below ⬇️

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The New York Times is changing the source of its data for its ongoing Covid trackers. For more than three years, we have compiled our own U.S. county-level data, but we will now use information from the CDC. Here’s why:
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The New York Times is changing the source of its data for its ongoing Covid trackers. For more than three years, we have compiled our own U.S. county-level data, but we will now use information from the CDC. Here’s why:

The New York Times

1,207,903 просмотров • 3 лет назад

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$AMZN CEO: “There is a power shortage in the US” Grid connection wait times for AI data centers are now stretching years while transformer shortages continue worsening Companies securing power today are positioning themselves for the next decade of AI infrastructure demand
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$AMZN CEO: “There is a power shortage in the US” Grid connection wait times for AI data centers are now stretching years while transformer shortages continue worsening Companies securing power today are positioning themselves for the next decade of AI infrastructure demand

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1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.
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1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

CherryAI Robotics

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DATA CENTRES Let me share some uncomfortable information The data Centres they are seeking to build will be the surveillance centres. They will act like the prison warden, monitoring and allocating punishments and giving scores. For those data Centres to work, they will need FRESH WATER to cool the hardware. They will need to divert water from entire dams towards the data centre. For example all the water feeding the Nairobi population will need to be diverted to the data centres for cooling the systems. See the number of legal cases in the USA against the data Centres. We have not talked about radiation that they will produce and affect the populations living in the environs

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A week of fishing in the East China Sea (16-22 Mar). Continuing experiments in #threejs and #webgl to showcase our Kpler and MarineTraffic data. >8M points rendered seemlessly in the browser with accumulating tracks 🤯 #maps #ais #animation

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Tether Data, AI model training platform preview. This PaaS will be available to any company interested in (pre-)training own models. Bonus, at the core of this platform we're leveraging Holepunch's tech for all data-structures to make training and models highly-resilient and unstoppable. Soon available via Northern Data Group , leveraging 24k+ H100 GPUs.

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