Paragon, the Israeli-American spyware company, is reportedly not collaborating with Italian authorities investigating recent spyware attacks aimed at journalists and activists. Despite initial promises to assist in uncovering the details surrounding these hacks, Paragon has failed to respond to requests for information from law enforcement. This lack of engagement raises concerns about transparency and the company's commitment to accountability in the face of serious allegations involving invasive technology and its impact on civil liberties in Italy.

At my company, we have initiated an internal project aimed at benchmarking large language models (LLMs) for hallucinations. Our goal is to develop both internal tools and client-facing solutions to better understand and measure these occurrences. I am currently exploring the paper linked here, but I would greatly appreciate any insights, experiences, or additional resources from the community that can help us refine our approach. If you have worked on similar projects or have knowledge of effective measurement tools, please share your expertise.

The recent update regarding the IJCAI-ECAI'26 Chairingtool indicates that the paper status has changed from "Rejected" to "Submitted." This shift suggests that the submission process has been reinitiated, allowing for a potential re-evaluation of the work. It's not uncommon for papers to undergo status changes, especially if revisions have been made. However, the absence of reviews prior to the rejection may indicate that the initial evaluation did not progress far enough for feedback. Understanding these transitions can clarify the submission journey and next steps.

Introducing **Dynabatch**, a PyTorch sampler designed to tackle the challenges of dynamic batching for Encoder-Decoder machine translation models, particularly when long sequences limit batch sizes. After encountering out-of-memory (OOM) issues while fine-tuning the NLLB-200 600M model on an RTX 5090, I developed Dynabatch to adapt batch sizes based on sequence lengths. By sorting examples and predicting memory pressure with an XGB regressor, Dynabatch significantly improves throughput, offering an innovative solution for those navigating the complexities of encoder-decoder training. Explore the repository [here

Last week, I conducted an engaging experiment using a T4 GPU to explore self-play training in Dark Hex. This project allowed two agents to compete against each other, and I’ve visualized the results from iterations 1800 and 1900, showcasing their development. If you're interested in diving into this experiment yourself, I've made my Colab notebook available for you to run and replicate the results. Explore the potential of self-play training and see how it can enhance your understanding of AI interactions in gaming.

Welcome to the discussion thread for the ACL ARR March 2026 Cycle [D]. Today marks the release of the Annual Review Reports, and we invite you to engage in a meaningful conversation about the insights and evaluations presented. This is an opportunity to explore the findings, share your thoughts, and collaborate on enhancing our understanding of the outcomes. Your contributions will be invaluable as we navigate through the details and implications of this cycle together. Join us in shaping the future of our initiatives.

Hello r/MachineLearning, Visualizing the loss landscape of neural networks can be challenging due to the complexities of high-dimensional spaces. Basic 2D contour representations often fall short in capturing the true geometry and nuances of local minima. To address this, I created an interactive browser experiment that allows users to explore how various optimizers navigate these landscapes. By generating 3D surface plots based on Li et al. (NeurIPS 2018), this client-side tool enables adjustments to architectures and datasets, facilitating a deeper understanding of model behavior.

In the evolving landscape of AI-driven technology, understanding the nuances between GPT-5.5, Claude, and Gemini is crucial for informed decision-making. Each model offers unique strengths, yet there’s a significant difference that often goes unnoticed: their underlying approaches to data interpretation and user interaction. By exploring these distinctions, users can uncover how to harness the full potential of these advanced systems. This article delves into the real differences that can empower your choices in leveraging AI for enhanced productivity and innovative solutions.

GitHub is enhancing deployment safety with its innovative use of eBPF, a powerful tool that helps identify and eliminate hidden circular dependencies. This proactive approach not only mitigates deployment risks but also ensures smoother recovery during outages. By leveraging eBPF technology, GitHub aims to streamline its operations and improve overall reliability, reflecting a commitment to continuous improvement in software deployment practices. Craig Risi explores how this advancement represents a significant step forward in preventing circular failures and safeguarding user experiences.

Google Cloud has unveiled Agents CLI within its Agent Platform, designed to simplify the development lifecycle of AI agents from local prototyping to production deployment. This innovative tool addresses the prevalent challenge of fragmented tooling and infrastructure that often hinders agent development across various services and environments. By integrating these processes into a cohesive workflow, Google Cloud empowers developers to efficiently create, test, and deploy AI agents, ultimately enhancing productivity and enabling transformative solutions in the realm of artificial intelligence.

A/B testing is a powerful tool for optimizing user experiences, yet many experiments labeled as “winners” falter in real-world applications. In this insightful exploration, we uncover the common pitfalls that lead to these failures and highlight strategies employed by leading companies to ensure success. By examining real data and practical examples, you will discover what truly works in A/B testing and how to navigate potential challenges. This knowledge empowering you to transform your testing approach and drive meaningful results.

Unlock the power of local audio transcription with Faster-Whisper and Python, prioritizing your privacy and performance. This guide will walk you through the process of transcribing audio files on your own device, ensuring your sensitive data remains secure. Whether you’re utilizing CPU or GPU capabilities, you’ll discover how to implement efficient transcription solutions that fit your needs. Join us as we explore the innovative ways to enhance your workflow while keeping your information private and accessible. Embrace the future of audio processing today.

In the evolving landscape of AI in production, chaos engineering emerges as a pivotal strategy for enhancing system resilience. By leveraging blast-radius control, organizations can determine the extent of disruptions, while intent clarifies the lessons learned from these failures. However, the maturity of tooling in chaos engineering remains uneven, with blast-radius control well-established and intent still developing. This post explores the transformative potential of chaos engineering, inviting readers to discover how intentional disruptions can drive innovation and improve operational reliability in complex systems.

Understanding the relationship between correlation and causation is crucial in data analysis. While correlation highlights a connection between two variables, it does not imply that one causes the other. This post delves into what correlation truly signifies, exploring its implications and limitations in data interpretation. By unpacking these concepts, we aim to empower you with the knowledge to critically assess data relationships and make informed decisions. Join us as we clarify this essential distinction and enhance your analytical skills.

In today's fast-paced marketing landscape, maximizing impact while staying within budget is crucial. "Let the AI Do the Experimenting" explores the innovative use of autoresearch to optimize marketing campaigns. By leveraging AI-driven insights, marketers can efficiently test and refine their strategies, ensuring a more effective allocation of resources. This approach not only enhances campaign performance but also empowers teams to make data-driven decisions with confidence. Discover how embracing AI can transform your marketing efforts and help you achieve your goals without overspending.

If you've ever double-clicked a cell in your spreadsheet to see which inputs it relies on, you may find yourself wondering about the opposite functionality: identifying all the cells that reference a specific cell. This feature is essential for understanding data relationships and ensuring accuracy in your calculations. If you're looking for an option to easily list or visualize these references, you're not alone. Let's explore how you can achieve this and enhance your spreadsheet experience by uncovering these connections.

If you're looking for a straightforward way to track inventory, Excel can be an effective tool. With its flexibility, you can create a simple inventory tracker tailored to your needs. By setting up a page to add or remove items, you can easily monitor stock levels. Additionally, you can create a second page to alert you when quantities drop below a specified threshold, like one or two. While Access offers powerful features, Excel may be the more accessible choice for your current requirements.

The F5 key combined with the Enter key serves a specific function in spreadsheet applications, primarily related to navigation and data entry. When you press F5, you activate the "Go To" dialog, which allows you to quickly jump to a specific cell or range in your spreadsheet. Following this with Enter confirms your selection and takes you directly to the chosen location. If you've encountered difficulties, it may be due to settings or the context of your data.

Managing employee sales metrics can be a complex task, especially when dealing with multiple sheets and formulas. If you're finding the manual updates tedious, there are ways to streamline the process. By leveraging Excel's dynamic features, such as named ranges or date functions, you can automate formula adjustments for different pay periods without repetitive manual entry. This approach not only saves time but also minimizes errors. Let’s explore how to make your monthly tracking workbook more efficient and user-friendly. Your insights and questions are welcome!

Preparing for your finance internship proficiency test is a great opportunity to showcase your Excel skills. Since you already have a solid foundation, consider focusing on key areas that finance professionals frequently use, such as financial functions, data analysis tools, and pivot tables. Reviewing formulas like VLOOKUP, IF statements, and basic charting can also be beneficial. Additionally, explore online resources or tutorials that offer practice exercises tailored to finance applications.

Hello everyone! It seems you're facing challenges with your formula for conditional checks based on the status of various accounts. Your goal is to differentiate between actions required for "billed" and "unbilled" statuses across different categories. The current formula appears to miss some key conditions and may not correctly apply the logic for all specified accounts. Let's explore a refined approach that clearly articulates these conditions while ensuring clarity. This way, you can confidently develop your skills in creating effective formulas.

Are you struggling to locate those extra columns in your spreadsheet view? You're not alone—many users encounter this issue when working with complex data layouts. Understanding that this is likely a view-related problem is the first step toward a solution. In this guide, we’ll walk you through the necessary steps to identify and resolve the issue, ensuring your team can easily access and manage all relevant data. Let’s empower your productivity by simplifying your spreadsheet experience today!

In organizing a charity tournament for 22 players over 13 hours, the challenge lies in fairly rotating participants across three courts. With four players per court each round, ensuring balanced playtime and minimizing repeated pairings is essential. Your initial idea of a 38-round table, featuring 22-minute games, highlights the complexity of achieving equitable matchups and rest periods. To enhance fairness and variety, consider developing a structured rotation system that evenly distributes games and partners, fostering an enjoyable experience for all participants.

It seems you're encountering challenges with your GROUPBY formula, specifically in filtering for a specific date. The formula you've provided attempts to combine filtering and grouping, which can lead to complications. The FILTER function may not be effectively isolating the desired date, causing the GROUPBY to misinterpret the data. To achieve the outcome of having one column for a specific date and another for the total across all dates, consider revisiting the structure of your formula.

Counting values based on specific criteria can streamline your data analysis in Excel. If you're looking to count items greater or lesser than 999, the `COUNTIF` function is indeed the right choice, but it requires proper syntax. For example, to count values greater than 999, you should use `=COUNTIF(B3:B185, ">999")`. Remember to include the quotation marks around the condition. This approach will help you efficiently analyze your list of items, enhancing your productivity with Excel.

If you're working on a spreadsheet for Pokémon TCG cards and facing issues with VLOOKUP when adding new sets, you're not alone. You want to ensure that checkboxes tick correctly based on the Pokémon names in your new columns, allowing you to track how many sets include each Pokémon. It sounds like your current formula is returning N/A, despite the expected matches. Let’s explore how to refine your approach to ensure accurate lookups and effective counting for your card sets.

Are you looking to streamline your spreadsheet with a formula that automatically populates mascot and logo texts based on text input? If the text in a specific column matches either DeLaSalle or Cooper, you can easily set up a formula that displays the corresponding mascot and logo file names. This approach not only enhances your data management but also simplifies your workflow by eliminating manual entries. Let’s explore how to create this formula for a more efficient and organized spreadsheet experience.

Navigating spreadsheet formulas can be challenging, especially when using functions like ISBLANK and IF together. In your case, the goal is to create a formula that evaluates the content of cells C2 and D2 to provide specific outputs. If C2 is blank, the output should be "prepare strategic plan." If D2 is blank, it should read "prepare for extended research." If neither cell is blank, the output will be "stable." Let's refine your formula to ensure it captures these conditions clearly and effectively.

Elevate your Python skills with "400+ Python Practice Exercises by Topic (2026)." This comprehensive resource features 136 free exercises and 298 premium ones, all designed to enhance your coding proficiency. Organized by topic and difficulty, these exercises can be solved directly in your browser, making practice both convenient and engaging. Additionally, the guide provides strategies for effective practice and highlights top external platforms for coding challenges. Embrace the opportunity to transform your Python journey through targeted, hands-on experience.

Choosing the right ETL tools is crucial when building a robust data stack, yet the abundance of overlapping options can be overwhelming. In 2026, the landscape continues to evolve, making it essential to understand which tools align with your specific needs. This practical guide not only highlights the best ETL tools available but also provides clear code examples to facilitate your decision-making process.

Mistral AI has unveiled Workflows, a powerful orchestration engine designed to elevate AI systems from mere proofs of concept to integral business processes. Operating within Mistral's Studio platform, Workflows already processes millions of daily executions, addressing critical gaps in operational infrastructure that hinder AI adoption. By separating orchestration from execution, it ensures data privacy and reliability, particularly for regulated industries.

Otter is enhancing productivity with its latest feature that allows users to seamlessly search across their enterprise tools, streamlining access to important information. Additionally, the introduction of a new Windows app empowers users to capture meeting notes effortlessly, even without joining the meetings themselves. This innovative functionality not only simplifies note-taking but also ensures that crucial insights are easily retrievable, transforming the way teams collaborate and manage their workflows. Explore these advancements to elevate your productivity and enhance your data management experience.

Introducing StatForge, an open-source, async Python pipeline designed to streamline your statistical analysis. Frustrated by the tedious process of manually running Shapiro-Wilk tests at 2 AM, I created a solution that automates the statistical decision layer, generates APA-compliant methods, and enables conversational interactions with your datasets. By transforming DataFrames into searchable context windows, StatForge simplifies complex data plumbing, allowing you to focus on meaningful insights. Explore the architecture and contribute to the project on GitHub to enhance your data analysis experience.

Trading bots have become popular tools for automating investment strategies, yet many fail to deliver consistent results. Understanding why these failures occur can significantly enhance your trading approach. In contrast to traditional Wall Street strategies, which employ sophisticated algorithms and human insights, many retail bots lack the necessary sophistication and adaptability. This article explores the common pitfalls that lead to bot failures and offers insights on optimizing your trading strategies to achieve better outcomes. Discover how to navigate this complex landscape for improved financial success.

Introducing npmx, an innovative open-source package browser for the npm registry, developed by Daniel Roe and over 250 contributors. npmx reaches its alpha stage, prioritizing speed and user-friendly features that enhance the npm experience. Notable functionalities include install size calculations and outdated dependency warnings, addressing gaps in the official npmjs.com interface. Early feedback highlights its impressive search performance, while design improvements are still needed. Explore the project and contribute on GitHub as npmx sets a new standard for package browsing efficiency and functionality.

OpenChoreo 1.0 has officially launched, marking a significant milestone as it joins the Cloud Native Computing Foundation (CNCF) Sandbox. This open-source internal developer platform, built on Kubernetes, equips engineering teams with a comprehensive foundation for managing workloads efficiently, eliminating the need for extensive custom setups. By integrating AI agents and GitOps practices, OpenChoreo empowers developers to streamline their workflows and enhance productivity. Explore how this innovative platform can transform your Kubernetes experience, making complex tasks more manageable and intuitive for your team.

Introducing CodeGuardian, a Model Context Protocol (MCP) server designed to elevate AI-assisted coding by integrating comprehensive code quality and security analysis. With eleven specialized tools at its core, CodeGuardian empowers developers to seamlessly access enterprise-grade insights directly through their AI assistants. This innovative solution eliminates the need for context-switching, streamlining workflows and fostering the adoption of secure coding practices. Authors Madhvesh Kumar and Deepika Singh explore how CodeGuardian transforms the coding experience, ensuring that quality and security remain at the forefront of development efforts.

Legare Kerrison and Cedric Clyburn from RedHat recently shared their insights on evaluating Large Language Model (LLM) performance at the Arc of AI 2026 Conference. They emphasized the importance of effectively measuring LLM applications to foster the adoption of AI technologies within organizations. Their discussion highlighted practical methods for optimizing LLM inference, providing attendees with actionable strategies to enhance performance. This session underscored the critical role of LLM evaluations in navigating the evolving landscape of AI and maximizing its impact on productivity and innovation.

In her insightful presentation, "Week-Long Outage: Lifelong Lessons," Molly Struve recounts a harrowing six-day outage that nearly derailed her company. She delves into essential technical lessons, emphasizing the importance of Failure Mode and Effects Analysis (FMEAs), shadow traffic, and effective rollback mechanisms. More importantly, Molly highlights the significance of human factors in crisis management, advocating for early collaboration and the necessity of having a supportive leader who champions psychological safety.

In the presentation "AI-Powered SRE for Autonomous Incident Response," experts Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, and Renato Losio delve into the transformative potential of AI in Site Reliability Engineering (SRE). They explore how AI-enhanced SRE platforms seamlessly integrate signals from logs, metrics, traces, and historical incidents, facilitating autonomous decision-making in incident response. This session invites attendees to discover innovative approaches that empower organizations to enhance their operational resilience and streamline responses to incidents, ultimately leading to improved productivity and user satisfaction.

Agentic AI represents a leap forward in autonomous systems, enabling AI to execute complex tasks with minimal human intervention. Unlike traditional AI, which merely responds to prompts, agentic AI can plan, adapt, and make decisions throughout its processes. This capability allows it to pursue defined goals more effectively, with each AI agent specializing in specific aspects of the task. By leveraging such advanced systems, organizations can significantly enhance their operational efficiency and innovation, paving the way for transformative solutions in data management and beyond.

April has marked a significant milestone in AI development, with the simultaneous launch of two groundbreaking models: OpenAI's GPT-5.5 and Anthropic's Opus 4.7. As leaders in the AI landscape, these models promise to redefine user experiences and capabilities in data management and analysis. This comparison will delve into the strengths and unique features of each model, guiding users in determining which AI solution best aligns with their needs. Join us as we explore the advancements and implications of these cutting-edge technologies.

In the world of deep learning, NaNs (Not a Number) can be insidious, subtly undermining your model's training without triggering an immediate failure. In the article "PyTorch NaNs Are Silent Killers — So I Built a 3ms Hook to Catch Them at the Exact Layer," the author reveals a practical solution to this pervasive issue. By implementing a lightweight, 3ms hook, you can effectively identify and manage NaNs at critical points in your training process, safeguarding your progress and enhancing overall model performance.

Are you experiencing issues with stock data and the STOCKHISTORY function in Office 365? If you're in the middle of a free trial and planning to purchase soon, it's important to ensure that these features are functioning correctly. This guide will help you determine whether the problem lies with your setup or if there are broader issues affecting the service. With the right insights, you can confidently navigate your spreadsheet journey and make informed decisions about your data management needs.

If you're encountering issues with the UNIQUE function not applying to your array output in Excel, you're not alone. In your case, trying to extract distinct values from a list like "Apple, Apple, Apple, Mango" using UNIQUE(TEXTSPLIT) can be tricky. It’s essential to ensure that the data is formatted correctly and that you're using the right syntax. This will enable you to achieve the desired output of "Apple, Mango." Let’s explore some solutions to streamline your data management effectively.

Hello, wonderful community! I’m seeking advice on creating an Excel file that combines multiple grocery shopping lists from individuals in a supportive residence. While I can manage basic functions, I want to empower residents to add their own unique items to a collective summary list. Ideally, similar items would be grouped together for ease. I’m currently experimenting with various approaches and would appreciate any tips or insights that could guide me in streamlining this process. Thank you for your support!

Managing a holiday sheet can be a daunting task, especially when it comes to organizing names alphabetically while ensuring that all associated data remains intact. If you’re looking to streamline this process, there’s a solution that allows you to anchor rows to names, ensuring they move together during sorting. This approach not only simplifies the alphabetical arrangement but also makes it easy to add new names without the hassle of manual adjustments.

If you're encountering the "#CONNECT!" error in Excel's STOCKHISTORY function, you're not alone. Many users are reporting similar issues today, with files that previously worked suddenly displaying this error without any changes made. This disruption can be frustrating, especially when you rely on real-time data for decision-making. If you’re looking for solutions or insights on how to resolve this error, join the conversation and share your experiences. Together, we can explore effective fixes and restore the functionality of your spreadsheet.

Are you encountering issues with event duplication when using the Any Year One-Month Calendar in Excel? It can be frustrating when events you input for one month, like May, automatically appear in the following month, such as June. This duplication can disrupt your planning, especially for one-time events. Let’s explore how to address this problem effectively, ensuring your calendar reflects your unique schedule without unnecessary repetitions. By understanding the template's structure, you can regain control over your event organization.

India's Snabbit has successfully closed a $56 million funding round, reflecting a growing investor interest in on-demand home services. With its innovative approach, Snabbit now processes over 40,000 daily jobs while significantly reducing operational costs, demonstrating its efficiency and scalability. As the company continues to expand across multiple cities and service offerings, it positions itself as a key player in the dynamic home services market.