WhatsApp whistleblowers have claimed the company can read your messages. This caused many of the big names in communication apps to start firing shots at each other over privacy. This left us all wondering: Is there any app you can use to communicate privately and securely anymore? In episode 5 of Not Dead Yet, Robert Baggs speaks with Chris McCabe, the co-founder and CEO of the private messaging app, Session. They discuss everything from the perils of metadata to the future of private messaging. Timestamps ...

We have all been told you can't believe everything you see online. That has never been more true in the age of AI. AI slop has taken over the internet.You've probably seen a lot of these AI images and videos like ones from Sora. Some of these videos are obviously AI, but on the whole, we aren't great at identifying AI generated content. This is a big problem, and it's something we all need to get better at.Here's what you need to know. First, the AI models that power these tools have gotten a lot better. Th ...

👁‍🗨 "Metadata can give away as much as the message."When we think of private communication, we often think of the contents of our messages, but that is far from the only valuable data involved.@rkbaggs speaks with @Cryptic_cm of @session_app on Not Dead Yet ep 5, link below👇 ...

[MUSIC] Hi, I'm Stephanie Giard from DDN. I'm Izhar Sharon. We spend a lot of time with enterprises building AI in hybrid environments. Today, we want to share what's actually working, and the questions you should be asking before you scale. If you're running AI workloads, you're probably already hybrid, whether you planned it or not. Clouds give you the elastic flexibility, burst capacity, access to the latest GPUs. But you also have data that can't leave your data center, compliance requirements, IP y ...

Overview of Yocto Project - Yocto Project is an open-source initiative providing templates, tools, and methods for building custom Linux-based systems for embedded products [1] - It supports major hardware architectures like x86, Arm, and RISC-V, offering flexibility for various embedded platforms [7] - The project is not an embedded Linux distribution but helps create one tailored to specific requirements [2] Key Components and Features - The core is the OpenEmbedded build system, including OpenEmbedded-Core and BitBake, the build engine [3] - Poky serves as a reference embedded Linux configuration for testing [3] - It features an extensive testing infrastructure and integrated tools for security analysis, license compliance, and SBoM support [4] - Yocto Project enables developers to create tailored Linux distributions customized to meet specific system requirements [6] Industry Adoption and Support - Yocto Project is widely adopted in medical, automotive, and industrial sectors, providing reliable solutions for embedded systems [7] - Major tech companies actively contribute to its development, ensuring continuous innovation and long-term improvements [7] - AMD is a Platinum Partner, contributing to the development and maintenance of tools for creating custom Linux distributions for embedded and IoT devices [9] Customization and Flexibility - The build system includes recipes and layers that can be modified to create a custom embedded Linux system [5] - Yocto Project offers full control over the build, providing flexibility, scalability, and long-term maintainability [14] - It allows developers to build highly optimized Linux distributions tailored to specific hardware and requirements [14] Build Process and Workflow - BitBake automates the process of creating a working Linux OS by configuring local user information, software, layers, and distribution [17][18][19] - The workflow involves configuring key areas, applying patches, and performing sanity checks to generate a bootable Linux system [18][19][20] - The build process also creates an application developer SDK, including a cross-architecture compiler and analytical tools [21]

Could you tell these receipts from real ones. These are actual examples of AI generated receipts that have been submitted by employees at work filing expenses and they're almost impossible to distinguish from legitimate ones. This is a massive problem for systems like Concur and Appzen who help many organizations with their expense processing.And you don't need Photoshop. You don't even need a printer. And if you look very closely at these examples, you'll see the details that are there.Wrinkles in the pape ...

Project Introduction - The Graph introduces the Token Metadata Foundational Store for Ethereum [1] - It provides a single, preprocessed source of truth for ERC-20 token data [1] Data Features - Includes names, symbols, decimals, and logos of ERC-20 tokens [1] - Data is updated block-by-block [1] Benefits - Eliminates redundant calls for token metadata [1] - Offers fast, reliable, and shared metadata for everyone [1]

Summary of NetApp Insight 2025 Conference Call Company Overview - **Company**: NetApp (NasdaqGS: NTAP) - **Event**: Insight 2025 Conference - **Date**: October 14, 2025 Key Industry Insights AI and Technology Trends - The emergence of AI has transformed all businesses into technology-driven entities, with a significant focus on leveraging data for operational improvements [8][9][10] - Companies are increasingly interested in utilizing AI for enhancing sales pipelines and adapting to regulatory changes in the financial sector [11][12] - The advancements in hardware, particularly by companies like NVIDIA, have facilitated a rapid increase in AI capabilities [14][15] Virtualization and Cloud Strategies - There is a notable shift towards prioritizing on-premises workloads, influenced by data sovereignty concerns and the desire for control over data [20][21] - The acquisition of VMware by Broadcom has led to a strategic focus on on-prem solutions, contrasting the previous trend of cloud migration [16][17] - The virtualization landscape is evolving with the rise of containerization and new alternatives like Proxmox gaining traction [22][23][24] Storage Solutions - The resurgence of block storage is attributed to improvements in protocols and networking, particularly with NVMe technologies [41][42][43] - The demand for low-latency and high-reliability storage solutions is increasing, especially for tier one workloads [42][43] - NetApp's ONTAP system is being positioned as a comprehensive solution for various workloads, emphasizing the importance of performance and capacity [71][73] Product Developments - NetApp has consolidated its licensing into ONTAP One, streamlining access to various features like backup, data protection, and cyber resilience [32][34] - The introduction of proactive ransomware detection capabilities within ONTAP is highlighted as a unique offering in the industry [35][36] Market Dynamics - The consumer technology growth is driving enterprise data demands, with an explosion of data from various devices and services [47][48][49] - The integration of AI into consumer products is expected to influence enterprise solutions, leading to more customized experiences and data utilization [48][49] Future Outlook - The conference anticipates significant advancements in AI and machine learning, with expectations for more integrated and user-friendly systems in the coming years [58][59] - The potential for operating systems to incorporate AI functionalities is discussed, suggesting a future where AI becomes a standard feature across platforms [52][54] Additional Notes - The conference emphasizes the importance of understanding data and its implications for businesses, highlighting NetApp's long-standing commitment to innovation in data management [120][121] - The event serves as a platform for showcasing new technologies and strategies that align with current market needs and future trends [118][119]

Welcome to Beyond Artificial, >> Jensen. >> Thank you. It's great to be here, Alex.>> Thank you very much. >> Nice to see you. >> Okay, I have to tell you how Infinia started this new product.2017, >> Nvidia said, "We want to stand up a reference architecture super pot. And we need the data part of it." And we walked away from that meeting. I said, "There's got to be a different architecture for AI." If Jensen's far-reaching vision turns into reality over the next decade or so, a completely different approa ...

Infinia Platform Overview - Infinia is a software-defined, metadata-driven, containerized, cloud-native data intelligence platform designed for scalability, performance, and efficiency across core, cloud, and edge environments [1] - The platform supports critical data protocols like object and block, integrating with AI data acceleration libraries like TensorFlow and PyTorch [1] - Infinia enhances AI execution engines by serving data in its native form, reducing the need for data conversion and speeding up applications [1] Metadata and Multi-Tenancy Capabilities - Infinia allows for tagging massive amounts of metadata to objects, enabling faster data discovery and processing, with no limitations on metadata capability [1] - The platform has built-in multi-tenancy capabilities, providing SLAs for individual tenants and sub-tenants on capacity and performance, ensuring quality of service [1] Scalability and Cloud Native Design - Infinia is fully containerized, allowing for scale-out at web scale, starting from a few terabytes and scaling to exabytes [1] - The product is designed to be cloud-native and will soon be available in leading cloud provider marketplaces [2] AI Data Challenges and Solutions - Infinia addresses the complexity of managing large amounts of distributed multimodal data across core, cloud, and edge environments by creating a unified platform [1] - It tackles the demand for extremely low latency required to run AI applications, as well as the high costs associated with running AI [1] - The platform ensures data protection at any time and at any scale [1] Performance Metrics - Infinia can deliver time to first byte in less than a microsecond [2] - It can deliver 30 to 40 million objects per second in list object operations [2] - Infinia can deliver terabytes per second throughput at large scale [2] Efficiency and Sustainability - Infinia can achieve 10x data reduction, fitting over 100 petabytes of storage into a single rack [2] - It can reduce the overall data center footprint by a quarter compared to competitors, saving 10x power and cooling costs [2] Security Features - Infinia focuses on security authentication and access control, preventing unauthorized data access [2] - Data is always encrypted, and all actions within the system are audited [2] - The platform provides 99.9999% uptime enabled by reliability-focused features [2] Key Business Outcomes - Infinia aims to reduce complexity and achieve more accurate results on a unified platform for AI inference, data analytics, and model training [2] - It accelerates innovation by running AI apps faster, enabling businesses to beat the competition [2] - The platform enables rapid deployment across the cloud core and the edge to increase productivity, boost efficiency, and maximize ROI [2]